1 1 DIVISION OF ADMINISTRATIVE HEARINGS DEPARTMENT OF ADMINISTRATION, STATE OF FLORIDA 2 3 SUGAR CANE GROWERS COOPERATIVE ) OF FLORIDA; ROTH FARMS, INC., and ) 4 WEDGWORTH FARMS, INC., ) Petitioners, ) DOAH Case No. 92-3038 5 v. ) SOUTH FLORIDA WATER MANAGEMENT ) 6 DISTRICT, an agency of the State ) of Florida; et al., ) 7 Respondents. ) - - - - - - - - - - - - - - - - - - x 8 FLORIDA SUGAR CANE LEAGUE, INC.; ) UNITED STATES SUGAR CORPORATION; ) 9 and NEW HOPE SOUTH, INC., ) Petitioners, ) 10 v. ) DOAH Case No. 92-3039 SOUTH FLORIDA WATER MANAGEMENT ) 11 DISTRICT, an agency of the State ) of Florida; et al., ) 12 Respondents. ) - - - - - - - - - - - - - - - - - - x 13 FLORIDA FRUIT AND VEGETABLE ) ASSOCIATION; LEWIS POPE FARMS; ) 14 W.E. SCHLECHTER & SONS, INC., ) and HUNDLEY FARMS, INC., ) 15 Petitioners, ) v. ) DOAH Case No. 92-3040 16 SOUTH FLORIDA WATER MANAGEMENT ) DISTRICT, an agency of the State ) 17 of Florida; et al., ) Respondents. ) 18 - - - - - - - - - - - - - - - - - - x 19 100 S.E. 2nd Street Miami, Florida 33131 20 Thursday, March 17, 1994 9:25 a.m. - 3:45 p.m. 21 DEPOSITION OF CARLOS MARIN 22 Taken before BRIAN GARY BERKOWITZ, Shorthand 23 Reporter and Notary Public in and for the State of Florida at Large, pursuant to Notice of Taking 24 Deposition filed in the above cause. - - - - - - - 2 1 APPEARANCES 2 ON BEHALF OF THE PETITIONERS FLORIDA SUGAR CANE LEAGUE, 3 INC., UNITED STATES SUGAR CORP., AND NEW HOPE SOUTH, INC. 4 EARL BLANK KAVANAUGH & STOTTS, P.A. One Biscayne Tower - Suite 3636 5 Two South Biscayne Boulevard Miami, Florida 33131 6 BY: ROBERT H. BLANK, ESQ. 7 ON BEHALF OF THE RESPONDENT SOUTH FLORIDA WATER MANAGEMENT DISTRICT 8 POPHAM HAIK SCHNOBRICH & KAUFMAN, LTD. 9 100 S. E. 2nd Street Suite 4000 10 Miami, Florida 33131 BY: R. BENJAMINE REID, ESQ. 11 INDEX 12 Witness Direct Cross Redirect Recross CARLOS MARIN 13 By Mr. Reid 3 14 MARIN EXHIBITS Exhibit 1..........................................4 15 Exhibit 2.........................................23 Exhibit 3.........................................24 16 Exhibit 4.........................................63 Exhibits 5-36.....................................69 17 - - - 3 1 Thereupon -- 2 CARLOS MARIN 3 was called as a witness and, having been first duly 4 sworn, was examined and testified as follows: 5 DIRECT EXAMINATION 6 BY MR. REID: 7 Q. Would you state your name? 8 MR. BLANK: Ben, I checked across the hall to 9 see if someone from the U.S. Attorney's Office was 10 going to attend, and they said they don't think 11 so. 12 MR. REID: I heard that. 13 BY MR. REID: 14 Q. Would you state your name? 15 A. Carlos Marin. 16 Q. What's your address? 17 A. Business address? 18 Q. Yes. 19 A. 1101 East Harrison, Harlingen, Texas. 20 Q. By whom are you employed? 21 A. I am employed by Ambiotec Environmental 22 Consultants. 23 Q. Tell me a little bit about that company. 24 A. We're an environmental engineering, 25 scientific environmental engineering firm. 4 1 Q. Is that your only job, at the present time? 2 A. Yes, sir. 3 Q. How long have you been there? 4 A. Since '86, I presume. 5 MR. REID: Let's mark your CV as Exhibit No. 6 1. 7 (The document referred to was thereupon 8 marked Marin Exhibit 1 for Identification.) 9 BY MR. REID: 10 Q. Can you please tell me if this is a current 11 CV, and that has everything on there about you as of 12 today? 13 (Pause.) 14 A. That's pretty current. Yes, sir. 15 Q. Tell me a little bit about what is it, 16 Ambiotec? 17 A. Ambiotec. 18 Q. Tell me a little bit about what it does. 19 A. We're involved in a number of different 20 projects. 21 On the local level, we work with clients in 22 terms of helping them to comply with environmental 23 regulations. We do that both on the U.S. side and the 24 Mexican side. We're located right close to the border. 25 Q. Has long has this company been in existence? 5 1 A. Since '86. 2 Q. Who owns the company? 3 A. I'm one of the major partners, a principal. 4 Q. It's incorporated under the laws of the State 5 of Texas? 6 A. Yes, sir. 7 Q. How many professionals are employed by the 8 company? 9 A. We have six professional employees. 10 Q. Give me an idea of what kind of professionals 11 they are. 12 A. We have two engineers. One is a mechanical 13 engineer. The other one is a civil environmental 14 engineer. 15 Myself, who -- I'm an environmental engineer. 16 One is a geologist, and the other one is an 17 environmental scientist. 18 Q. How many non-professional people are employed 19 at Ambiotec? 20 A. Three non-professionals. 21 Q. Three? 22 A. Yes, sir. Four non-professionals. 23 Q. Has your company, or have you, personally, 24 been involved in wetlands issues before? 25 A. No, sir, I have not. 6 1 Q. How about your company? 2 A. No. 3 Q. What would you consider to be the closest 4 thing to wetlands science that you've been involved in, 5 in your work? 6 A. Well, the company has -- we do have some 7 people that have taken courses from the Corps of 8 Engineers to identify what wetlands are, for wetland 9 delineations, but in terms of the type of -- myself 10 being involved with wetlands work, I have not been 11 directly involved with wetlands work, in terms of 12 identifying wetlands, delineating wetlands. 13 The closest that my own work, in reference to 14 the Florida project we're working on right now, is in 15 terms of modeling, uncertainty analysis having to do 16 with modeling, calibration. 17 Q. So, I take it that you're doing that kind of 18 work in other areas as well as what you are doing in 19 this case? 20 A. Yes, sir. 21 Q. Is it essentially the same science, the same 22 approach to things? 23 A. In terms of the uncertainty analysis, model 24 calibration, model evaluation, it is, yes. 25 Q. Do I understand that to mean that rather than 7 1 going out and taking samples and evaluating what's in 2 the ground, on the ground, over the ground, you 3 actually work with mathematical calculations in terms 4 of attempting to predict what happens on the ground? 5 A. Exactly. And I mean, the processes are 6 different, in different systems, but the work that I'm 7 doing is evaluating the models, doing uncertainty 8 analysis on the models, are the calibrations being done 9 properly, as opposed to doing the specification of the 10 processes that are involved. So -- but, yes, my work 11 is not involved in actually going out and collecting 12 data or anything like that. 13 Q. You sort of added a third level to my 14 description, which is what I will call checking up on 15 the modeling after it's been done by somebody else? 16 A. Exactly. 17 Q. That's what you are doing in this case? 18 A. Yes, sir. 19 Q. And you have done that in previous matters? 20 A. Yes, sir. 21 Q. Tell me, or describe for me, the water bodies 22 or the matters in which you've done this work before. 23 A. I've done modeling and model verification -- 24 that's pretty synonymous and usually goes 25 hand-in-hand -- for streams. 8 1 I've done a lot of work for the EPA office of 2 solid waste, both for multimedia models, ground water 3 models, air models, surface water models. In fact 4 that's been a major part of my work in the last six 5 years, has been to develop uncertainty analyses for 6 fate and transport models for EPA. 7 Q. I take it, then, that no one at your company 8 has ever done any work in what I would call wetlands? 9 A. In terms of the modeling itself, and the -- 10 no, not prior to this project. 11 Q. Does your company do things other than 12 modeling? 13 A. Yes. 14 Q. Do you actually do the other -- the first 15 thing that I described, going out and taking the 16 samples? 17 A. Yes. Members of our company do go out and 18 collect samples, and we do engineering design and 19 remedial investigations, feasibility studies. 20 Q. Have any of those other people that do that 21 kind of work in your company, had any experience in 22 wetlands? 23 A. Not that I'm aware of. 24 Q. What do you understand me to mean when I say 25 "wetlands," by the way, so we know we're talking about 9 1 the same thing? 2 A. A wetland is a body that's defined as being 3 inundated a significant amount of the time, and it 4 doesn't have the same flow properties as a river. It's 5 more -- it's usually shallow, in low lying areas, flood 6 areas. 7 Q. Everglades would qualify? 8 A. I would think so, yes. 9 Q. Before you opened your own company in '86, 10 you were on the staff at Duke? 11 A. Yes. 12 Q. Tell me a little bit about what you did at 13 Duke. 14 A. I was in the -- both in the department of 15 forestry and environmental studies, the School of 16 Forestry and Environmental Studies. Also, in the civil 17 engineering department. I taught graduate level 18 courses in uncertainty analysis, environmental systems 19 analysis, planning analysis. Part of that was doing 20 the modeling optimization. I taught courses doing 21 that. I also did research in uncertainty analysis, as 22 well. 23 Q. During your time at Duke, did you have any 24 experience or exposure to wetlands? 25 A. Not directly. 10 1 Q. Did you work with what has been, I guess, 2 it's come to be known as the Duke Wetlands Center? 3 A. I had conversations with Curt about the work 4 he was doing, but I was not directly involved in this 5 work. 6 Q. You were not part of the Wetlands Center? 7 A. No, sir. 8 Q. Or any of its predecessor components? 9 A. No, sir. 10 Q. Other than knowing Curt Richardson and 11 casually from time to time talking about it, you didn't 12 have any direct involvement in what he was doing? 13 A. No, sir. 14 Q. Specifically with what he was doing in the 15 Everglades? 16 A. No, sir, I did not. 17 Q. Did you work with any of the other people at 18 the Wetlands Center? 19 A. No. I did work with Ken Reckhow, but I'm not 20 sure if he's associated with the Wetlands Center or 21 not. 22 Q. What did you do with Dr. Reckhow? 23 A. He and I wrote a number of proposals 24 together, papers, and generally worked together on 25 research areas. 11 1 Q. Any involved in wetlands? 2 A. Not that I recall. 3 Q. As I recall from Dr. Reckhow's deposition, he 4 pretty much deals with the statistical approach or 5 models and so forth? 6 A. Exactly, yes. 7 Q. And then, before Duke, you were a consulting 8 engineer. 9 A. When I was a graduate student at Harvard, I 10 was doing some work with Meta Systems as part of my -- 11 not as part of my graduate work, but during my graduate 12 work. 13 Q. And you were also, during the same period, a 14 research scientist at Harvard? 15 A. Yes, sir. 16 Q. During your Harvard period, and the time you 17 were consulting, any involvement with wetlands in that 18 experience? 19 A. No, sir. 20 Q. What did you do? What did you deal with 21 principally during that period? 22 A. Primarily, statistical areas, associated with 23 modeling and uncertainty analysis, model specification, 24 errors. 25 Q. Before that you were at Rice? 12 1 A. Yes. 2 Q. Was that while you were in school? 3 A. I'm sorry? 4 Q. While you were in school? 5 A. Yes, sir. 6 Q. Any wetlands experience there? 7 A. No, sir. 8 Q. Your undergraduate degree was in civil 9 engineering? 10 A. Correct. 11 Q. Did you have to focus or specialize in any 12 particular area? 13 A. At that time, I think Rice had an option for 14 environmental, and so it was civil with an 15 environmental option, and I don't remember. At that 16 time they did not have an environmental engineering 17 degree, undergraduate degree. It was civil with an 18 environmental option. 19 Q. Did you take the environmental option? 20 A. Yes. 21 Q. I notice that you did get a master's from 22 Rice in environmental engineering. 23 A. Yes, sir. 24 Q. Tell me a little bit about what environmental 25 engineering is. 13 1 A. Environmental engineering -- it's 2 environmental science and engineering. Environmental 3 engineering is, it's identification of potential 4 problems, coming up with a design solution for it, in 5 order to meet certain objectives in an economically 6 efficient way. 7 Q. At some point, you became interested in 8 dealing with formulas and statistics and that kind of 9 thing. 10 When in your career did that first come up? 11 A. When I was at Rice. 12 Q. Undergraduate or graduate? 13 A. Graduate. 14 Q. What led you in that direction? 15 A. What led me in that direction was experience 16 with modeling, when I was a senior, or my first -- in 17 the interim being between a senior and first year 18 graduate student. I was doing some modeling for one of 19 my eventual advisors at Rice, stream modeling. 20 Q. Stream modeling? 21 A. Yes, sir. It seemed like you could overfit 22 the data, and people were calibrating models and 23 weren't getting a real handle on what the uncertainty 24 was associated with that prediction, what it mattered, 25 calibrating, estimating that uncertainty and trying to 14 1 figure out what it meant. And that's what got me 2 interested in the statistics, and modeling 3 verification. 4 Q. Your first Harvard degree was a master of 5 science, I take it? 6 A. Yes, sir. 7 Q. I understand environmental engineering. What 8 does operations research mean? 9 A. Operations research is a body of, or a set of 10 disciplines, that deals with the use of applied 11 mathematics to solve real world problems, as opposed to 12 pure mathematics, and I think my general understanding 13 is that operations research, the techniques were 14 developed during the war, World War II, in order to 15 optimize operations, and logistics, et cetera, 16 deliveries. 17 Q. Give me some examples that I might 18 understand. 19 A. For example, operations research, how do you 20 optimize where to put your planes and schedule your 21 planes in order to get there on time and minimize your 22 overall fuel consumption. 23 Operations research deals with optimization, 24 optimization, uncertainty -- under all parameters, 25 optimization with uncertainty, when you don't know the 15 1 parameters. It's basically a way to define an 2 objective, what's the best way to reach that objective, 3 what is best. 4 Q. I assume that discipline would expand beyond 5 the environmental field? 6 A. Definitely, yes. 7 Q. At Harvard, was there a separate department 8 of operations research, that took people in from all of 9 the other disciplines, or how is it operated? How is 10 it set up? 11 A. The -- my Ph.D. is in environmental 12 engineering, but my areas, if you would say, the area 13 of specialization was operation research. 14 I did not get a degree in operation research. 15 There is an operation research department in applied 16 math. 17 Q. With what -- 18 A. In the applied math department. 19 Q. Tell me how operations research, then, is 20 manifest in the environmental field. 21 A. Basically, it's an extension of what 22 engineering companies -- engineering is trying to find 23 a solution that satisfies some constraints in some 24 optimal way. 25 Operations research is simply a formal 16 1 statement of that, of that problem. 2 Q. Do you use those skills on a regular basis? 3 A. As I said, operation research is fairly broad 4 and yes, I use statistics in operation research. 5 Q. Have you used it in your work in this case? 6 A. The general principles, yes. Optimization 7 itself has been used in some of the fitting techniques, 8 but generally it would fall more under the applied 9 statistics area, yes. 10 Q. Tell me what a model is. 11 A. A model is a representation of a system, it 12 could be a real system or a hypothetical system, and it 13 attempts to relate inputs to outputs, and the model is 14 the linkage between those inputs and outputs. 15 It's used to predict, simulate what the 16 hypothetical system you are trying to model or the real 17 system you are trying to model, its behavior under 18 different inputs. 19 Q. Tell me how you use modeling within the 20 context of the streams that you mentioned, in your 21 first experience. 22 A. Primarily to predict concentrations of 23 various contaminants in the streams, and the transport 24 of those contaminants. 25 Q. I assume that's exactly what you're, 17 1 generally speaking, doing in this case, using the same 2 approach? 3 A. And in this case, what I'm doing is taking a 4 model that somebody else already developed, and seeing 5 whether the parameters are fitting correctly, are they 6 the right parameters, are correct inferences being made 7 with that model. 8 Q. Is it fair to say, I'm just trying to make 9 sure I understand this, we didn't cover this in English 10 history at UNC, but you know you have a certain body of 11 water and you know you have a certain flow, and you 12 know that certain contaminants are being put into it, 13 and you might be interested in figuring out what is 14 left at the end, when it comes out, if your goal is to 15 try to, let's say, cut down on those contaminants? 16 Would that be a problem that you could deal with, with 17 modeling? 18 A. Yes. In a general sense, yes. 19 Q. Then you might compare how different 20 parameters would affect the difference between what you 21 had at the beginning and what you ended up with at the 22 end? 23 A. Different inputs, you mean? 24 Q. Yes. 25 A. Yes. 18 1 Q. Or different parameters. What do you mean by 2 "inputs"? 3 A. "Inputs" would be the -- there can be either 4 control variables or exogenous variables. Exogenous 5 variables you have no control over. 6 There are exogenous inputs to the model that 7 you usually have no control over, but they had to be 8 taken into account in the modeling process. For 9 example, precipitation, evaporation. 10 Then there are those variables that you are 11 concerned about, the input variables, that are what is 12 called decision variables or control variables, that 13 you are trying to control and determine what's the best 14 level of those inputs. 15 Q. In our case, a control variable might be the 16 amount of phosphorus that came through the structures? 17 A. Yes. For example, through, say, best 18 management practices. 19 Q. Once you put best management practice into 20 place, you end up with a certain amount of -- certain 21 amount of phosphorus, we will say. 22 A. Right. Another control variable would be the 23 area, say, that you use a tree and the output would be 24 the concentration, for example, if that's what you are 25 interested in. 19 1 Q. And how much of this is based on actual 2 things on the ground, as opposed to mathematical 3 calculations, in a model such as -- a simple model that 4 we're talking about? 5 A. Generally, the model development starts from 6 basic principles, it could, or it could be a simple 7 statistical model. It has no mechanistic components in 8 it. The level of mechanistic components in a model 9 could vary from very simple to very complex, and the -- 10 I'm sorry. Could you rephrase your question? 11 Q. Let me ask you this: What do you 12 understand -- what is the model that you are ultimately 13 going to comment on in this case? 14 Can you, in a simple description, give me 15 what that model is, the way you understand it? 16 A. It's a simple mass balance model. 17 Q. Tell me how that works. 18 A. Basically, you have some idea what the mass 19 of phosphorus coming into the ground is, and -- 20 Q. Would that be the load? 21 A. The load coming in. Right. 22 Q. Okay. 23 A. And there's a parameter, a settling rate, 24 that determines what percentage of that load coming in 25 is going to be ending up in the ground and removed, if 20 1 you will, and then, that will tell you what the model 2 then predicts what is going to be coming out, after 3 it's been removed in that sized area. 4 Q. That seems pretty simple. 5 A. It's a simple model, yes, and it's 6 representational. 7 Q. Why do we need all these Ph.D. s to figure 8 this out? 9 A. I think model selection is a very, very 10 important issue. Complexity of the model, how simple 11 it is, how complicated it is, and you need to make a 12 decision about what's the optimal level of complexity, 13 and typically that decision is a function of the amount 14 of data you have. 15 If you have a very complex model, very little 16 data, you're going to have a hard time fitting that 17 model and making credible predictions. 18 If you have a very simple model at the same 19 time that overlooks some of the basic principles, you 20 could have some problems with predictions, as well. 21 My own belief, the simpler the model, the 22 better. The scale of the model, I think I agree with 23 the model, in terms of the complexity of it. 24 What you need -- the opinions are, or the 25 Ph.D.s, if you will, is in determining whether those 21 1 values are, in fact, going to be representative of 2 what's going out, the calibration process. Does this 3 model predict well? What are the issues associated 4 with the model? What are the issues associated with 5 taking those model values and predicting somewhere 6 else? 7 Q. Whose model are you particularly commenting 8 on? 9 A. Dr. Walker's model, found in his, I believe, 10 March '93 paper. 11 Q. I notice some material by Dr. Kadlec in some 12 of the papers that were produced. Are you talking 13 about anything that Dr. Kadlec has done? 14 A. Only as it relates to the paper, the model 15 that Walker has used. 16 My understanding is that some of that, those -- 17 that model is based on some of the work that Dr. Kadlec 18 used, or did. 19 Q. With regard to the model or the data leading 20 up to the model, you have not -- you are not going to 21 be dealing with credibility, if you will, of any of the 22 actual sampling points and things such as that? 23 A. The only way I would be dealing with that, 24 not necessarily testifying to the validity of the 25 point, but possibly using analysis to point out that in 22 1 fact we should look at some of these points. They may 2 have a large influence on the results and we should 3 look to see if that's a reasonable point or not. 4 Q. By "point," you mean sampling point? 5 A. Data point, yes, sir. 6 Q. Which would be, ultimately, when somebody 7 went out and took cores? 8 A. Exactly. 9 Q. Or took the water, whatever -- 10 A. Yes. 11 Q. When were you retained to work in this case? 12 A. It was the latter part of 1992. November or 13 December, somewhere in the last part of that quarter. 14 Q. Who retained you? 15 A. I am not sure if it was Rick Burgess or Bob 16 Blank. 17 Q. Somebody at Peeples Earl & Blank? 18 A. Yes. 19 Q. The Peeples Earl & Blank firm? 20 A. Yes. 21 Q. Do you know how they got your name? 22 A. I don't know specifically, but -- no, I do 23 not know, specifically, but I would think maybe through 24 Curt Richardson. That would be speculation. 25 Q. Until you got this call in late '92, you had 23 1 really never done anything with or had any thoughts 2 about the Everglades? 3 A. That's correct. 4 Q. When you were actually called, what were you 5 asked to do? 6 A. I was simply -- I was asked if I had time to 7 get involved in a project dealing with the Everglades. 8 It wasn't very specific. 9 At the time I was simply asked to attend some 10 meetings to get some background information to see if I 11 would be interested in participating. 12 Q. I have a letter dated November 3, 1992, which 13 is to you, from Rick Burgess. This looks like it would 14 have been your letter of retention. Is that correct? 15 A. Yes, sir. 16 MR. REID: Mark that as the next exhibit. 17 (The document referred to was thereupon 18 marked Marin Exhibit 2 for Identification.) 19 BY MR. REID: 20 Q. Then there's a letter dated April 28, from 21 you to Mr. Blank, here, with a budget attached. 22 Was this the ultimate description of what you 23 intended to do? 24 A. Generally, so. I think our focuses have been 25 primarily on the first two tasks, and my work 24 1 primarily, up to that time, has been helping counsel 2 with preparation for depositions, helping him 3 understand the implications of models, and this 4 developed in April, basically focusing on tasks 1 and 5 2. 6 MR. REID: Mark this as the next exhibit, 7 please. 8 (The document referred to was thereupon 9 marked Marin Exhibit 3 for Identification.) 10 MR. BLANK: What was the date of that letter? 11 MR. REID: April 28, 1993. 12 BY MR. REID: 13 Q. Do you know if there was any other letter or 14 memo, which summarized what you are going to do? 15 A. No. No, there is not. 16 Q. Task one was to "develop, calibrate/validate, 17 and perform uncertainty analysis on an alternative 18 (non-zero intercept) settling rate model." 19 Did you do that? 20 A. That was originally based on the first Walker 21 model, and when that changed, the focus of that task 22 changed. 23 Q. Tell me what an uncertainty analysis is. 24 A. An uncertainty analysis, in a general sense, 25 is to predict what the uncertainty analysis -- the 25 1 uncertainty is in the predictions of a model, try to 2 assess what the uncertainty in the predictions are. 3 Q. How is it quantified? 4 A. It can be done a number of different ways, 5 but usually in a probabilistic way. Say the prediction 6 has certain probability of being within a certain 7 range. 8 Q. Like 90 percent, 80 percent, 50 percent? 9 A. Sure. It has an average of this, and has 10 some problems associated with distribution predictions. 11 Q. Are there certain levels that are considered 12 to be better than others? 13 A. A priori, no. It all depends on what you are 14 trying to do, your objective function, the objective of 15 your modeling. 16 Q. "What is an alternative," and then 17 parenthesis, "(non-zero intercept) settling rate 18 model"? I guess my first question -- what alternative 19 to what? 20 A. That was an alternative to the initial Walker 21 model, which I guess was represented by his October '93 22 document, in which he had a relationship -- 23 Q. October of '92? 24 A. '92, yes. I think it was August. 25 MR. BLANK: August. 26 1 A. August, I'm sorry. He had a relationship 2 between the phosphorus accretion versus concentration 3 in that regression, as a way to estimate the settling 4 rate, and that regression went through the origin, to 5 zero, and there was speculation on the part of Dr. 6 Richardson at the time, that there should be a -- that 7 there might be a possibility, a hypothesis, that that 8 regression should not necessarily go through zero, it 9 should go through some other intercept, non-zero 10 intercept, and that would indicate a source of 11 phosphorus other than phosphorus from the water column 12 concentration. 13 The idea was to test that model, a simple 14 statistical model, to see if, in fact, the intercept of 15 that data was through non-zero. And as I said, that 16 model changed in March, right -- as a matter of fact, 17 this document was put out after Walker's document came 18 out in March of '93. The focus of that task changed, 19 because that model was, in a sense, relegated to a back 20 burner. 21 Q. Did you ever do anything with Walker's August 22 '92 model? 23 A. No, I did not. Other than looking it over, 24 but not specifically develop alternatives to it. 25 Q. When you say he was relating phosphorus to 27 1 concentration, total phosphorus to concentration? 2 A. Total phosphorus, yes, in the core. Core 3 data phosphorus to phosphorus concentration in the 4 water column. 5 Q. And the core, by that you mean -- you mean, 6 just so we're clear, C-O-R-E? 7 A. Yes, I'm sorry. 8 Q. In the ground? 9 A. Yes, sir. 10 Q. He was taking somebody's core samples and 11 pulling off the phosphorus level concentration? 12 A. The amount of phosphorus in the ground. 13 Q. The amount? 14 A. Yes. 15 Q. How was that described? 16 A. I'm not familiar with the actual laboratory 17 analysis techniques to do it. It was a measure of the 18 amount of phosphorus deposited over time in the ground. 19 Q. He compared that to the concentration in the 20 water? 21 A. Correct. And from that he developed a 22 relationship or regression relationship, with slope, as 23 a function of K, or the settling rate. 24 Q. You said "water column." What's "water 25 column"? 28 1 A. The concentration of phosphorus in the water. 2 Actually, above the ground, in the water. 3 Q. Is there a difference between the water 4 column and surface water, in your understanding? 5 A. Surface water and water column? The water 6 column concentration is just the concentration in the 7 column of water above the soil. 8 Q. Over what area? 9 A. It depends on the model. In this particular 10 case, it was representative of what was up top of the 11 core, over the core. 12 Q. Literally over? Are you talking about in a 13 mechanical sense, literally over, directly over that 14 core that was taken? 15 A. The general area of that core, yes. 16 Basically, the concentration of water -- of phosphorus 17 in the water column on top of the core. 18 Q. So, if you put -- you know, like if you cut a 19 hole in a golf course, you take a cylinder and stick it 20 all the way down into the ground. Some of it is below 21 the surface of the soil, and some of it is above. 22 Would you capture everything in that column 23 which would be water as well as soil, and those would 24 be the two areas you are talking about? Is it that 25 precise? 29 1 A. I think it represents the concentration in -- 2 the average concentration of the water column, yes. 3 Q. But it would be that precise, directly over 4 the core? You take it all at the same time as opposed 5 to taking a core and then going back with a bucket 6 later and maybe scooping up some water? 7 A. These were long term averages and they 8 represent the long term average concentration over that 9 core. It wasn't specific, at any one time. 10 Q. Based on this relationship, what was Walker 11 trying to do, as you understand it? 12 A. Estimate what the settling rate is, which 13 would then give you what the fraction of the input load 14 coming in, settling out, to be removed from the 15 wetlands. 16 Q. I take it you would need a series of cores 17 that moved downstream, so to speak? 18 A. Not necessarily, but that's the data he had. 19 Yes. 20 Q. Explain to me, again, the non-zero intercept 21 versus some other intercept, which you say would 22 suggest alternative sources of phosphorus. 23 A. Non-zero intercept basically says if there's 24 no phosphorus in the water column, then you are not 25 going to have any deposition into the soil. And the 30 1 hypothesis that Dr. Richardson had, was that there 2 could be -- that in fact a regression might go through 3 zero. What is the source of that phosphorus if, in 4 fact, it didn't go through zero? And it seemed, the 5 regression that was done by Walker, forced the 6 regression to zero, rather than letting it vary and 7 giving you an intercept. And the idea was to see what 8 that intercept would be and find an explanation for why 9 that -- you had a non-zero intercept. 10 Q. So, if you put the soil phosphorus on the X 11 axis and the water column on the Y, Richardson -- 12 A. No, the other way. 13 Q. Whichever. Okay. I wasn't trying to be 14 precise. One or the other. 15 A. Sure. 16 Q. Walker, you believe, was saying in effect, 17 that if you got down to zero on one, and you had to be 18 at zero on the other? 19 A. Exactly, yes. 20 Q. Richardson was suggesting to you, he believed 21 that you could be at zero in the soil, but still be up 22 the axis, so to speak, in the water column? 23 A. I think what he was -- 24 Q. Or was it backwards? 25 A. What he was suggesting was, first of all, to 31 1 look at what the data was telling you, and if you 2 didn't force it to zero, what number would you get, and 3 if it was positive, it would say, where was that source 4 of phosphorus coming from? Was it coming from the 5 water column? 6 The idea was to let the regression tell you 7 what that intercept was, instead of forcing it, and 8 then come up with a hypothesis to test where it could 9 be coming from. 10 Q. Walker's assumed all the phosphorus in the 11 ground came from the water, or he got to that point? 12 A. In that analysis, yes. 13 Q. Did anybody ever contradict or do any work to 14 determine if that was accurate or not? 15 A. I never did. 16 Q. Do you know if anybody else ever did? 17 A. Not that I know of. 18 Q. Did you ever talk to Dr. Richardson about it? 19 A. We talked about it, in the sense that the 20 focused shifted to a different model and we weren't 21 going to do the analysis, or that I didn't do the 22 analysis. 23 Q. Your second task was to reproduce, critique 24 and perform uncertainty analysis on Walker II, mass 25 balance model. 32 1 Did you do that? 2 A. Yes. 3 Q. That's essentially what your opinions in this 4 case are going to be. 5 A. Exactly. 6 Q. There's a three, a four and a five. Did you 7 do any of those? 8 A. No. 9 Q. Why didn't you do those? 10 A. That was a decision by counsel, to focus on 11 the first two tasks. 12 Q. Had you even started that? 13 A. No. 14 MR. BLANK: I'm sorry. What was the 15 question? 16 MR. REID: Had he done three, four and five, 17 and he said no, and I said, why. 18 MR. BLANK: Okay. 19 BY MR. REID: 20 Q. What's a plug flow model? 21 A. A plug flow model is one where the 22 concentration varies with distance, as opposed to a 23 continuous stir tank reactor, where the concentration 24 anywhere in that reactor would be homogenous, or the 25 same. In this case you have gradients, concentration 33 1 gradients, across the reactor. 2 Q. What was the second one, continuous -- 3 A. Stir tank reactor. 4 Q. Stirring. 5 A. Where the concentration doesn't vary in 6 space, within that gradient. 7 Q. Did Walker use either of these approaches? 8 A. My understanding is that the second model is 9 a plug flow model. 10 Q. Walker II? 11 A. Yes. 12 Q. How do these two models compare to or relate 13 to mass balance models? 14 A. They're both mass balance models. They use 15 as the first principle, mass balance. That's the first 16 principle underlying both models. 17 Q. Mass balance means that you just figure out 18 what goes in, and figure out what goes out, and the 19 difference is something? 20 A. Yes. To account for mass, yes. 21 Q. Within the operation of the system that you 22 are focused on, that you are going to do this sort of 23 gross analysis of, you either have one behavior or 24 another behavior? 25 A. Correct. 34 1 Q. Do you have an opinion as to which is the 2 better model for the Everglades? 3 A. I would agree that the -- because of the 4 concentration gradients, the plug flow is more 5 appropriate than the continuous stir tank reactor. 6 Q. Because you've seen data that indicates as 7 you move down from the structures in the north of 8 WCA-2A, and you seem to get a reduction of 9 concentrations as you get away from the structures? 10 A. That concentration varies spacially, yes, and 11 you don't have a complete mixing for the entire zone. 12 Q. Would a lake be something that would be more 13 appropriate for a continuous stir approach? 14 A. It depends on the size. The ideal situation 15 is you have a reactor, like a waste water plant, and 16 where you have complete mixing, that's the ideal 17 situation. 18 Q. I was just thinking, that's a man-made -- 19 A. Right. 20 Q. Number three seems to relate back to the 21 first two tasks, in that it describes work developing 22 and implementing a procedure for recalibrating or 23 validating and performing uncertainty analysis for the 24 models in tasks 1 and 2, using Richardson and Reddy's 25 data. 35 1 A. Can I see that again, please? 2 Q. Yes. Look at number three. 3 Did you do that? 4 A. I guess when I was thinking of task two, I 5 was not looking carefully at task three. 6 What I've been doing is reproducing, 7 critiquing and performing uncertainty analysis, and I'm 8 having trouble distinguishing what task three would do 9 at this point. Calibrating, validating -- 10 Q. I should have more than one copy, shouldn't 11 I, by this time? 12 A. The Walker II had that data. 13 Q. What data was Walker II based on? 14 MR. BLANK: You didn't know that when you did 15 this? 16 A. I did not know what data -- that's part of 17 the problem, I guess, yes. 18 Q. So we're clear now -- 19 A. I think in retrospect, that what I've been 20 doing, is looking at the Walker II model, and 21 reproducing the calibration that Walker did, and then 22 testing that model with different data sets and with 23 new data that has become available to us, and doing the 24 uncertainty analysis of the Walker II model. 25 Part of the confusion is task three, and that 36 1 paper was done before we were aware of the Walker II 2 model. 3 Q. Now as you understand, Walker II relies on 4 the Richardson and the Reddy core samples? 5 A. Correct. 6 Q. For his model? 7 A. Yes, sir. 8 Q. And you have now had the benefit of some 9 additional samples? 10 A. Yes. 11 Q. As part of your task, you have taken out the 12 Reddy-Richardson samples, and -- or maybe a better way 13 to describe it is, you have overlaid the new samples 14 with what you already had, to find out how close they 15 are? 16 A. Exactly. 17 Q. We will get to that in a minute. 18 A. Okay. 19 Q. But, do you find the new samples are 20 materially different? 21 A. The two new samples cause, yes, a change in 22 Ke, yes. 23 Q. What is Ke? 24 A. The settling rate. Ke. 25 Q. Why is it Ke, by the way? 37 1 A. The effect of settling rate, that's what the 2 sub e stands for. That's the product of the settling 3 rate which Walker defines as K times some product, some 4 value, B, which he defines the ratio of the time 5 weighted, flow weighted concentration. It could be the 6 other way. But the factor B is a function of the 7 relationship between the flow weighted concentration 8 and the time average concentration. 9 MR. BLANK: Can we take a break? 10 MR. REID: No problem. 11 (Thereupon, a brief recess was taken, 12 after which the following proceedings 13 were had:) 14 BY MR. REID: 15 Q. We've cleared up now -- 16 A. Yes. 17 Q. As far as task four, it had to do with 18 developing a three parallel plug flow model alternative 19 dealing with some of Kadlec's work. You have not done 20 that? 21 A. No. 22 Q. Finally, developing a decision analysis 23 alternative to determine the number of acres required. 24 You haven't done that? 25 A. No. 38 1 Q. Do you have any opinions at all about the 2 subject matter of those final two tasks? 3 A. No, I do not. 4 Q. You said you thought it would cost 70,000. 5 How much has it actually cost to get you to here today? 6 A. I think as of last year -- it was on the 7 order of about $65,000 that we spent as of the end of 8 last year. 9 Q. What have you done since then? 10 A. Probably another 25 since, this year. 11 Q. So we're pushing a hundred now? 12 A. About 85, 90,000. 13 Q. Okay. After you received the call, I take it 14 you began to work on this assignment. 15 A. Those assignments? 16 Q. Yes. After you received the first call back 17 in late '92. 18 A. No. Really, the first -- I would say the 19 first six months, were primarily just getting familiar 20 with the problem, and helping counsel formulate issues 21 and help with depositions. That was primarily what I 22 was doing. And it wasn't until that document where we 23 actually started thinking about tasks. 24 Q. After you were retained, what is the first 25 thing you did? By that I mean, did you come to a 39 1 meeting, or did you get documentation? 2 A. I remember, I think -- I have a recollection 3 of going to a meeting, I believe it was in North 4 Carolina, Durham, and just getting an overview of what 5 the issues were. 6 Q. Who gave you that overview? 7 A. I remember counsel being present, and Curt 8 Richardson being present, and several other 9 consultants. I don't have a firm recollection of who 10 exactly was there. Maybe Dennis Lettenmaier and maybe 11 John Davis. 12 There was general discussion about what the 13 issues were, and what was relevant. 14 Q. How long did the meeting last? 15 A. I don't remember. 16 Q. A couple of days or one day? 17 A. One or two days. I do not have a firm feel 18 for that right now. 19 Q. This was your first exposure to the problem? 20 A. Yes, sir. 21 Q. At the conclusion of that meeting, what did 22 you understand the problem to be? 23 A. I think at that point, I just got a general 24 overview of what the situation was. It was still very 25 confusing in terms of what was going on. There were a 40 1 lot of legal issues, and I mean -- 2 Q. Give me an overview of what was going on, as 3 you understood it at that point? 4 A. As I understood, was that the -- there were 5 going to be some STAs designed to meet some limits. 6 The question was whether the design was based on some 7 settling rate and whether that settling rate was 8 reasonable or not. That's basically the overall 9 impression I had at that time. 10 Q. Was that the general topic of this meeting, 11 or was this an overall litigation strategy meeting? 12 A. Of what I remember, that was a major part of 13 it. There were other issues related to legal 14 implications of -- related to permitting and so on, but 15 I wasn't really aware of what was going on, or had a 16 good grasp of what those issues were. 17 What I was interested in was primarily the 18 settling rate and whether that was reasonable or not, 19 and that's my best recollection of the important issue 20 at that point. 21 Q. You mentioned Lettenmaier. 22 A. Dennis Lettenmaier might have been there. 23 MR. BLANK: His deposition has been taken. 24 Q. What is his role, as far as you know? What 25 was his role at that point, as you understood? 41 1 A. I wasn't aware of what his specific role was 2 at that time. I don't think that was the purpose of 3 that meeting, to define who was going to do what. 4 I don't know if Dennis had already been part 5 of the meetings before or after, or he had just come on 6 like I did. I don't know. 7 Q. You said John Davis was there? 8 A. Yes, John Davis. That's where I met John 9 Davis. 10 Q. And Curt Richardson was there? 11 A. Curt was there. 12 Q. Did you have any understanding of what these 13 other people -- what their role was in the case? 14 A. I had a vague idea that John was doing data 15 collection, data management, and I knew that Curt had 16 come up with some calculations for the settling rates 17 of his own, and that was my understanding of what they 18 were doing. 19 Q. Do you remember what settling rates were 20 being discussed at this meeting? 21 A. I don't remember if the 8.3 was already out. 22 I guess it was probably 8.3. I think I remember seeing 23 that. 24 Q. What was the reaction to 8.3? 25 That would be meters per year, right? 42 1 A. There were questions about how it was derived 2 and whether it was reasonable to do the flow weighting, 3 and how it was done, but in terms of whether it was 4 high or low, I did not get that impression. 5 Does it make sense? What is the issue here? 6 Q. At that meeting, there was no conclusion 7 about whether it made sense or not? 8 A. My main recollection of that meeting is that 9 there were still a lot of issues to figure out how it 10 was done and whether it made sense or not. It wasn't, 11 a priori, decided it was crazy or not. 12 Q. Was there any talk about what you would do at 13 that meeting? 14 A. I think in a vague sense, yes, but it was 15 more -- I don't remember getting a specific assignment 16 at that point. 17 Q. What is the next thing you did? 18 A. I think I started reading documentation, 19 primarily the Walker August '93 paper, and getting 20 familiar with the issues, and getting a better handle 21 on that. 22 At the same time, just formulating issues 23 about the modeling and what kind of things should be 24 looked at or might make sense to look at. Primarily to 25 get a better handle of what was going on. 43 1 Q. Did you understand the 8.3 was a product of 2 Dr. Walker's work? 3 A. I think that's the number that came out of 4 the August '92 paper, yes. 5 Q. Did you know Dr. Walker before this? 6 A. I knew Dr. Walker before, yes. 7 Q. He's up in the area where you went to 8 college, I guess? 9 A. Right. 10 Q. Or graduate school. 11 A. Yes. 12 Q. What did you think about him? 13 A. I have a lot of respect for Dr. Walker. 14 Q. Have you ever been involved in anything 15 that's he's been involved in, before this? 16 A. Only tangentially. When I was a graduate 17 student, I was working at Meta Systems part-time. He 18 was doing some work, and I helped him with some data 19 bases, some statistical work. That was all. 20 Q. Some documents have been produced today. I 21 assume some of these documents would have been some of 22 the reading that you just described? 23 A. Correct. 24 Q. Do you have a file at your office relating to 25 this assignment? 44 1 A. Yes, I do. 2 Q. What is in that file? 3 A. Documents that I've given you, plus I've got 4 some public documents, documents that are public 5 documents, and some correspondence from counsel. 6 Q. Did you actually pull together the set of 7 documents that was sent over to me as representative of 8 your, quote, file, close quote, for this case? 9 A. The majority of documents, yes. Some of 10 those documents, the bulk of documents I just went 11 through a list and pointed out the ones I had copies 12 of. 13 Q. I'm talking about the actual documents. 14 A. Yes. 15 Q. We can look at this in a minute and mark 16 them, but does this look like the material? Is that 17 about the right volume? 18 A. It's about the right size, yes. 19 Q. Then there's a list of, here, I don't know, 20 of pages and pages, a lot of pages of public documents 21 that you've looked at. 22 You would have copies of these at your 23 office? 24 A. Yes. 25 MR. BLANK: When you say "these," counsel, 45 1 you are referring to the public documents? 2 MR. REID: Yes. There's a list here called, 3 "Supplementary documents publicly available, not 4 copied," and it's 27 articles. 5 THE WITNESS: Yes. 6 BY MR. REID: 7 Q. These would be ones you actually have copies 8 and you didn't bring because you figured we had them? 9 MR. BLANK: You have to answer. 10 Q. You have to say yes or no. 11 A. Yes. I was just given a sheet and told to 12 check them out. 13 Q. You did some reading. During the time you 14 did this reading and studying, did you talk to anybody 15 else about this case, or your assignment? 16 A. During what period? 17 Q. I guess from the time of the meeting in 18 Durham, until the next major event that occurred. 19 Strike that. 20 Tell me what the next major event that 21 occurred for you, was. 22 A. There might have been another meeting, but I 23 do not recall. The next major event was the 24 formulation of that document, the tasks. 25 Q. Exhibit 2, the April 28 letter? 46 1 A. Yes. 2 Q. Between the Durham meeting -- by the way, do 3 you know when that meeting was? 4 A. The Durham meeting? 5 Q. Yes, the first one, or the one you described. 6 A. December, maybe. December of ninety -- 7 Q. '92? 8 A. '92, yes. 9 Q. Between then, December '92 and April of '93, 10 you were busy reading and educating yourself about the 11 project? 12 A. Right. 13 Q. That's where these documents I have here 14 would have come into play? 15 A. Some of them, yes. 16 Q. During that time, did you have any 17 conversations with anybody, about this case? 18 A. I more than likely talked to Curt Richardson, 19 and that's where that task number one came out. 20 Q. Do you recall anybody else that you spoke to 21 about it? 22 A. Not directly. I think Curt Richardson was 23 the principal person. I'm sure I talked to counsel. I 24 might have talked to Steve -- Dennis Lettenmaier, but 25 I'm not positive of that, and we really haven't done 47 1 much work together. 2 Q. What exactly is his discipline, Lettenmaier? 3 A. Dennis, I would characterize him as -- it's 4 hard. I just know him from reputation and haven't 5 worked with him until recently -- is the area of 6 systems analysis, which is sort of environmental 7 engineering, operations research. Very similar to my 8 area. 9 Q. Do you know what role he's playing in this 10 particular case? 11 A. Specific projects, the details I couldn't 12 give you, but a general consultant providing expert 13 testimony. 14 Really, I couldn't pin it down exactly. I 15 could give you a general idea, but not exactly. 16 Q. During this period, were you also helping 17 with discovery or depositions? 18 A. Yes. 19 Q. Which depositions, specifically, did you help 20 with? 21 A. I was preparing for Dr. Kadlec's deposition, 22 or was asked to help out, just in terms of interpreting 23 what the math meant. And I don't know if I was also 24 asked to help out with the Walker deposition, but that 25 was rescheduled, and I'm not sure whatever happened to 48 1 it, but primarily to help out with Dr. Kadlec's 2 deposition. 3 Q. Specifically, what role did you play with Dr. 4 Kadlec? 5 A. To help counsel prepare questions for Dr. 6 Kadlec. 7 Q. Was there any particular part of his opinions 8 that you were dealing with specifically? 9 A. I think it was primarily to find out exactly 10 what he was doing and the basis for his modeling, and 11 the implications of the modeling, all the assumptions 12 of the modeling, to get it clarified. 13 Q. Did he do a model separate from Dr. Walker? 14 A. My understanding is that the Walker model 15 that's used in the March '93 paper, is based on a model 16 developed by Dr. Kadlec. 17 Q. Dr. Kadlec had a data base? 18 A. Right. 19 Q. A North American data base of wetlands and so 20 forth. Some of that information made its way into the 21 Walker model. Is that correct? 22 A. That's not my understanding, but I do not 23 know, but not my understanding. 24 Q. Did Dr. Kadlec use, as far as you know, that 25 data base in his work? 49 1 A. I -- 2 MR. BLANK: Just for clarification, are you 3 talking about the North American data base? 4 MR. REID: Yes. 5 A. I know he references it in his work and uses 6 sort of a general indication of performance of wetlands 7 systems. He might have used it for the basis for 8 formulating his hypothesis or his model structure. I 9 do not know. 10 Q. You just said this, and it escaped me, so I 11 apologize for asking again. 12 How did what you are calling the Kadlec model 13 and the Walker model, relate? 14 A. I believe they're very similar, except for 15 maybe notation differences. 16 Q. Was there any particular part of Kadlec that 17 you found to be objectionable, when you were helping 18 the lawyers prepare? 19 A. I don't think it's a question of being 20 objectionable. Just in terms of the assumptions he was 21 making, and trying to clarify what those were. 22 Q. Can you recall any specific assumptions that 23 he made, that you found fault with or questioned? 24 A. I don't think they're a question of fault 25 with them. Just a question of assumptions that it 50 1 would be interesting to look at them. 2 Q. Were there any that you thought were 3 incorrect? 4 A. No. 5 Q. Did you overall -- did you feel that there 6 was some overall problem with the Kadlec model? 7 A. I think there were some issues that would 8 have been useful or would be useful to look at the 9 assumptions, in terms of the potential heterogeneity of 10 the value of K. A single value of K is assumed, and -- 11 but it's not clear right now that that assumption is 12 incorrect. 13 It was just an issue of one possible thing to 14 look at. 15 Q. Anything else that you can recall 16 specifically? 17 A. That was the primary consideration. 18 Q. When you talk about the heterogeneity of the 19 K value, explain to me what you mean about that. 20 A. The model basically assumes a single K value, 21 at least the way Walker used it and Kadlec. 22 Q. That would be the settling rate? 23 A. The settling rate. That's assumed to be the 24 same everywhere, it has no variability, and the 25 question that arises is, well, is it possible that 51 1 there are sources, where it does vary spacially, and 2 what would be the implication of that. 3 Q. So the closer to the structures, you might 4 have a greater settling rate or a lesser settling rate? 5 A. Yes, and it would be different in space. 6 Q. Have you seen any work on this by anybody in 7 the case? 8 A. What I've done is, I've done some, if you 9 will, sensitivity analysis, where I partitioned the 10 WCA-2A, and tried to fit the data from that partition, 11 and seeing if I were to get different Ks. And -- 12 Q. Did you? 13 A. Yes, of course. You would expect to get 14 different Ks. 15 Q. These partitions that you made, were these 16 partitions that you came up with, or did you use some 17 that Richardson came up with? 18 A. I came up with those partitions based on 19 input from Dr. Richardson. 20 Q. Do I recall correctly that one of the Duke 21 reports or one of the calculations on settling rate, he 22 used a partitioning approach to arrive at a settling 23 rate? 24 A. Right. His recommendation was primarily 25 based on what he thought vegetation types would be 52 1 represented by those partitions. 2 Q. In other words, where you had a lot of 3 cattails, you might call that one area. Then maybe not 4 so many cattails another area, and so forth? 5 A. Basically. Exploratory in nature. It's not 6 meant to be defined very precise, but just a general 7 breakdown of a reasonable way to break up the 8 partitions. 9 Q. Did you help to prepare for anybody else's 10 deposition during this -- 11 A. Dr. Walker's recent deposition. 12 Q. You did that recently? 13 A. Yes. 14 Q. Did you do any other major work during this 15 period from December '92 until April '93? 16 A. No, I did not. The work I'm talking about 17 was done subsequent to that period. 18 Q. After this letter was sent in April '93, you 19 mentioned you had some correspondence in your file with 20 counsel. 21 MR. REID: Is that being marked as 22 privileged? 23 MR. BLANK: Correct. That's correspondence 24 from counsel. 25 MR. REID: From counsel to Dr. Marin? 53 1 MR. BLANK: Correct. 2 MR. REID: You're going to give us a list or 3 something of that? 4 MR. BLANK: Correct. 5 BY MR. REID: 6 Q. Let me just get a general idea of the counsel 7 correspondence. 8 Does it contain assignments, for instance, 9 for you? 10 A. Yes. In terms of well, can you make it to 11 this deposition, can you be here at -- 12 Q. I meant work assignments in the case. 13 Substantive work assignments. 14 A. Not that I can think of. 15 Q. Does it contain any -- did it pass along any 16 data to you? 17 A. No. 18 Q. Was there ever a confirmation of an 19 acceptance of this April 28 proposal, or did you just 20 start working? 21 A. Verbal. Verbal. 22 Q. So, then, you began your work? 23 A. It wasn't probably until a couple of months 24 afterwards, that I remember. 25 Q. So -- 54 1 A. Sometime in the summer. 2 Q. In the summer of '93? 3 A. Yes. 4 Q. You began your work? 5 A. Yes. 6 Q. Was there some reason that you didn't start 7 until then? 8 A. Scheduling. 9 Q. Your scheduling? 10 A. Yes. 11 Q. Were you given any deadlines? 12 A. At the time, no. 13 Q. I've been talking about you all the time. 14 Did anybody else at your company work on this project? 15 A. No, they did not. 16 Q. Even in a clerical way or doing computer work 17 or anything? 18 A. Making copies, but not doing anything else. 19 Q. Do you have time records of how much time 20 you've actually spent? 21 A. Yes. 22 Q. Do you know how many hours you've spent 23 working on this project? 24 A. I can tell you from the billing. As I said, 25 it was about 50-some-thousand dollars last year, and 55 1 about 8,000 in '92, and last -- it's been pretty heavy 2 the last two months, 20 thousand something. 3 Q. That's your hourly rate? 4 A. $115 an hour. 5 Q. Give me an overview of your work in terms of 6 what you did. I don't mean your opinions and all, but 7 just kind of tell me how you went about it. 8 A. Okay. The first thing we did, that I did, is 9 try to see if I could reproduce Walker's analysis. And 10 the paper pretty much contained the data I needed to be 11 able to reproduce his work. 12 I set that up and I was able to get 10.2, 13 10.25, what power he used for the residuals. It wasn't 14 very much of an impact. So, we were able to reproduce 15 his work. 16 The other thing we did, we had some 17 additional data. Dr. Richardson had collected three 18 additional cores near the top of the WCA-2A structure. 19 WCA-2A. Near the gates. And one of the cores, he 20 found problems with it, the quality assurance, quality 21 control problems, so we only used two of those cores. 22 We then fitted the model to the additional 23 cores. 24 The other thing we did was partition the 25 WCA-2A area in different sets of partitions, and see if 56 1 we saw variability in the K. Then, the other thing we 2 looked at, was the sensitivity of that K, to each 3 individual core value. 4 Q. Of the three new ones or of all of them? 5 A. All of them. 6 The other thing we did do was to look at 7 reviving that issue about the non-zero settling -- 8 non-zero intercept, by adding a constant term to the 9 settling rate Dr. Walker had and testing to see if that 10 proved to be significant or not. And the other thing 11 we've done, and that's been the major effort the last 12 three months, has been the uncertainty analysis, trying 13 to find out what the probability distribution of the 14 concentration predictions are for a given design. 15 Q. I think I got everything you said, except the 16 second thing. You said you fitted the data to 17 something; all the data, you said. 18 A. We were trying to look at the effect of each 19 data point on sensitivity, on the settling rate 20 estimate, and seeing how sensitive that K was to any -- 21 settling rate was to any particular data point. 22 Q. So, to see if I have them then, you first 23 replicated Walker's work, and you found, you arrived at 24 the K he arrived at, 10.5, or whatever it is? 25 A. Correct. 57 1 Q. 10.5? 2 A. 10.2. 3 Q. 10.2, I'm sorry. 4 Then you took the new core samples and used 5 those, that data, two of the three -- 6 A. Right. 7 Q. -- in Walker's model? 8 A. Correct. 9 Q. Ignoring all the data that he used? 10 A. No, no. Using his data, also. 11 Q. You added these new ones to his? 12 A. Yes. We basically set up a bunch of 13 different data sets, and set up the model to see what 14 the effect would be. 15 Q. Then you determined the sensitivity or the 16 effect on the K value, to any one core sample? 17 A. Yes. 18 Q. By that -- okay. I'll talk about that in a 19 minute. 20 A. Okay. 21 Q. Then you partitioned WCA-2A, and in effect, 22 modeled, did a little model for each subpart? 23 A. No, I wouldn't call it a model. What we were 24 doing was basically fitting the model as if that was 25 the only data set you had. 58 1 Q. You took all the data points within that 2 partitioned area, and determined what K would be? 3 A. What if that was your only data, what would 4 you do? 5 Q. Exactly. Then finally, you added a constant, 6 such that you could test this zero intercept. 7 A. Yes. 8 Q. Is that all you did? 9 A. And the uncertainty analysis. 10 Q. Then you did an overall uncertainty analysis 11 on Walker's work? 12 A. Yes. 13 Q. Assuming the data points that he used, only. 14 A. No. Uncertainty analysis -- let me clarify a 15 little bit. 16 We had a number of different data sets. None 17 of the uncertainty analysis was done on partitioned 18 data sets. Assuming we had one K, one settling rate 19 for the entire area. 20 The idea of the partitioning was to see if 21 you did get different settling rates and whether it 22 makes sense to then try to test hypotheses that those 23 Ks are, in fact, different. 24 The uncertainty analysis is based on several 25 data sets, one of them to look at the original data 59 1 set. Another set includes a look at the original data 2 set plus the two new cores. 3 I was also provided some data that Dr. 4 Patrick collected for some core data as well. That was 5 also included. 6 Then part of our sensitivity analysis showed 7 that one of the cores in particular, was very high 8 impact on the settling rate, and so, one of the data 9 sets was created, and let's see what happens if we 10 remove that. 11 Q. Which core was that? 12 A. A Reddy core, very close to the gates. R-10. 13 That's a notation that I got in my documents. So, that 14 was another data set. 15 For those data sets, we've done the 16 uncertainty analysis, and the uncertainty analysis is 17 two parts. First estimating the uncertainty in the 18 settling rate from the fitting procedures and taking 19 that uncertainty in settling rate, and the uncertainty 20 in the inputs of the design model, and seeing what the 21 effect is on the concentration for the actual design. 22 Q. The last thing you said, I didn't understand. 23 I didn't understand your alternatives. You said you 24 did two things? 25 A. It's all part of the same -- 60 1 Q. I understand. 2 A. The first step is to find out the uncertainty 3 in the settling rate for the fitting process, where you 4 fit the data at WCA-2A. 5 Q. What do you mean by "fitting"? 6 A. Calibration process, where you estimate K, 7 try to find your uncertainty in the estimate of 8 settling rate, by using data in WCA-2A. 9 Then the next thing you need to do is look at 10 the uncertainty, which we did, look at the uncertainty 11 in the actual design for the actual STAs, which 12 incorporates the uncertainty in the settling rate 13 estimate to -- that was derived by fitting or deriving 14 it from the data in WCA-2A. 15 Q. So, the first would have been calculating or 16 calibrating the uncertainty or doing the uncertainty 17 analysis, basically in Walker's original model, with 18 his data? 19 A. What I'm calling the Walker 1993, March 1993 20 paper, yes, with his original, yes. 21 Q. Then, what's different about the second 22 uncertainty analysis? 23 A. Each of those -- it's all part of the 24 uncertainty analysis. Each of those are the steps that 25 go into the uncertainty analysis, and those were done 61 1 for three data sets. 2 The first step you need to do is figure out 3 what the uncertainty is in the fitting process or 4 calibration process, and then how that uncertainty 5 affects the design, and that's how I'm breaking it up 6 into two steps. 7 Q. Anything else that you did? 8 A. Can you go over the list, what we said? 9 Q. Okay. Maybe it's easier just to talk through 10 them. Replicating Walker, including the new core 11 samples, partitioning, that exercise, testing Walker's 12 zero intercept assumptions, and doing the uncertainty 13 analysis, using the various data sets that you had to 14 work with. 15 A. Correct. One other thing we did -- I just 16 thought of something. As part of the sensitivity 17 analysis, we specified what would happen if you were to 18 let the K vary with concentration, and see what would 19 happen. 20 That's sort of an exploratory test to 21 determine the -- if the K could be related to the 22 concentration, assuming a non-linear K. 23 Q. How would you do that? I mean -- 24 A. We just specified that the settling rate was 25 a function, inverse function of the concentration. 62 1 Q. So, as the concentration -- 2 A. Goes down, the settling rate would go up. 3 Inverse relation. See if that would test out. 4 Q. Was it a one to one kind of thing, or did you 5 have a formula that created that relationship? 6 A. It was a formula. 7 Q. Who came up with that formula? 8 A. It was just something I tried. 9 Q. Did anything come of that work? 10 A. For the original data, no. It was just an 11 exploratory test, and it didn't prove to be very 12 sensitive. 13 Q. I'm going to come over there, because I'm 14 going to run through these exhibits with you. 15 A. Okay. 16 Q. Then I'll go back. 17 The next exhibit will be a letter of March 9, 18 to me, from Bob Blank, with a list of documents. 19 Are these the documents that you read and 20 didn't reproduce to give to me? 21 A. I'm just making sure that the ones I know 22 I've been using are here. 23 (Pause.) 24 A. Yes. Essentially, yes. 25 Q. Was this background reading, in a sense? 63 1 A. Some of it was background reading. Some of 2 it was documents that I haven't gotten through, but I 3 do have in my possession, and some were documents I 4 actually used. 5 MR. REID: Let's mark this as Exhibit 4. 6 (The document referred to was thereupon 7 marked Marin Exhibit 4 for Identification.) 8 BY MR. REID: 9 Q. Let me have you tell me, first of all, which 10 ones you haven't read. Just call the numbers out. 11 A. Not read? 12 Q. Yes. That you have in your possession. 13 A. That I have not read? 14 Q. That you have not read. 15 A. I may have looked at this, but I don't think 16 I read No. 3. 17 No. 4. 18 I'm not sure what No. 5 is. 19 Q. Okay. 20 A. That's fairly vague, but I'm sure I've seen 21 it. 22 Q. What? 23 A. No. 7, diagrams containing data -- 24 Q. Okay. 25 A. Diagrams -- I haven't read this one. 64 1 Q. No. 9? 2 A. Right. When you say "read," what do you mean 3 by that? Have I skimmed through it? Have I read it, 4 and am going to use it and rely on it? 5 Q. You gave me three categories, and I was going 6 to go through each of the three. You gave me one you 7 didn't read. You gave me one that you read, and then 8 you gave me one that you read and you are actually 9 using. 10 A. How would you qualify skimming? 11 Q. Skimming would probably be not read. If you 12 are not going to use it -- 13 A. Okay. 14 Q. What number? 15 A. I don't think I'm going to -- No. 14, I've 16 skimmed through it. 17 There's an oldie, I skimmed. I'm not going 18 to use that. 19 MR. BLANK: You're referring to No. 15. 20 A. 15, I'm sorry. 15. 21 I haven't read this one. 22 Q. No. 20? 23 A. Yes. If I have, I just skimmed through it. 24 I'm not exactly sure. I remember some vague 25 recollection of this document, and I may rely on it, 65 1 but I couldn't tell you right now. 2 Q. 22 is unknown at this point. 3 A. 24, I can't tell you. I know it's a Burns 4 and McDonnell document, but I couldn't tell you 5 specifically about that one. 6 That's pretty much it. 7 Q. Tell me the ones you actually relied on. 8 A. No. 1. 9 Q. Tell me what you relied on, as far as No. 1 10 goes. 11 A. No. 1, that's the March '93 paper. That lays 12 out the document -- I mean the model, the data, the 13 procedures used for fitting. 14 Q. That's what you are really critiquing or 15 analyzing? 16 A. Analyzing, yes. No. 2, there's some data, 17 water quality data in there, that I may rely on. I 18 will rely on. 19 I will rely on No. 6. 20 Q. In what way? 21 A. Simply that I've done an uncertainty 22 analysis, just for comparison purposes, to see what Dr. 23 Walker has done, in terms of what he thinks some of 24 these numbers are. 25 Q. That was an uncertainty analysis of Walker I 66 1 we're calling it? 2 A. Yes. Basically a reference to other ranges 3 of some parameters. 4 Q. So you used some of that? 5 A. Used it and/or will use it. 6 Q. Okay. 7 A. I may use this document. 8 Q. No. 9? 9 A. Yes. I may use it, but I haven't decided. 10 No. 16, I have used it. 11 Q. In what regard? 12 A. In terms of the -- seeing how the data was 13 derived for the loadings, for the design -- in the 14 design. 15 Some of these are drafts, and there are 16 subsequent reports that are final. So, they might be a 17 previous document, and I'll probably rely on the most 18 recent document. 19 No. 19. 20 Q. What is that? 21 A. That's the recommended affected areas -- it's 22 probably "effective." 23 MR. BLANK: I think that would be a typo 24 there. 25 A. That's basically a design document. I'll 67 1 definitely use that. 2 Q. In what regard? 3 A. That specifies how a design is being modeled, 4 how the STAs are designed, how they're sized and how 5 the concentration is being predicted. 6 Q. How does that relate to Walker II? 7 A. That uses the Walker II model and the 10.2 8 settling rate, and takes that model and applies it to 9 the STAs and the sizing of the STAs, and predicting the 10 concentrations. 11 Q. How are you using that in your opinions? 12 A. In order to be able to predict how the 13 uncertainty analysis will affect those concentrations, 14 I need to know how the design is being made. 15 Q. Okay. 16 A. I will use No. 21, or may use it, and I have 17 used it, and I'm not sure what that is. 18 Q. How are you using 21? That's the Reckhow 19 piece. 20 A. The way I would describe it is sort of a 21 laugh test to see if based on -- 22 MR. BLANK: "Lab," L-A-B, or "Lap," L-A-P? 23 THE WITNESS: No, "Laugh," L-A-U-G-H. 24 A. It's sort of a laugh test, L-A-U-G-H. To see 25 if the general relationships that are shown for 68 1 wetlands will substantiate what this model is saying, 2 basically, and I'm not certainly going to use the model 3 Dr. Reckhow has looked at, but I will at least read his 4 paper to see about -- maybe use that model or a 5 different model. 6 Q. So, really, you are going to use that to sort 7 of test or confirm what you do, or otherwise, see if it 8 works? 9 A. See if what -- sort of part of verification 10 on a laugh test, does it make sense. Does it tell you 11 you are in the ballpark or not. 12 Q. What was his basic premise, Dr. Reckhow? 13 A. I think that there's a relationship between 14 the phosphorus concentration out of wetlands, versus a 15 loading coming in, areal loading. I'm not sure you 16 call it permanence, but that's the relationship it 17 showed. 18 MR. REID: Off the record. 19 (Discussion off the record.) 20 A. I'm not exactly sure about the No. 23. I'm 21 not exactly sure. I need to go back and review it, and 22 see what -- number 24, definitely. No. 25, definitely. 23 BMP stuff. No. 26, for sure. And No. 27. 24 MR. REID: Mark these as the next exhibits. 69 1 (The documents referred to were thereupon 2 marked Marin Exhibits 5-36 for Identification.) 3 (Thereupon, a brief recess was taken, 4 after which the following proceedings 5 were had:) 6 BY MR. REID: 7 Q. Let's look at the -- continuing to look at 8 exhibits, Exhibit 5, can you tell me what that is and 9 whether you are using it? 10 A. It's documentation of some work being done by 11 Tetro Tech. 12 Q. Why is it in your file? 13 A. It was fax'd to me by counsel. I will be 14 using the general -- in the sense that I will probably 15 be looking at fitting the model to both core and water 16 quality data. But in terms of using the results, I 17 will not be using the results. It's just sort of a 18 general description of what their results were. 19 Q. Have you completed your work? You've been 20 talking about will use or -- 21 A. Yes. 22 Q. Tell me where you are. 23 A. In terms of fitting -- 24 Q. In general. Have you finished all the work 25 you've done in this case? 70 1 A. The Monte Carlo uncertainty analysis spread 2 sheets are fairly well complete. 3 What we need to do is go back in and refine 4 what the parameters are going to be, and the 5 uncertainty analysis are. 6 I haven't discussed this with counsel. In 7 terms of additional work, I may or may not be doing 8 this, is to test the hypothesis that the settling rates 9 vary within the partitions, and those settling rates 10 are significant. 11 Q. You haven't done that yet? 12 A. No. One of the other things that would make 13 sense, would be to go back and estimating the settling 14 rate by -- for both water -- with both water quality 15 data and the core data. 16 Q. You haven't done that yet? 17 A. Right. Part of the problem of finalizing the 18 documentation, has been, for example, the data that I 19 finally use in my uncertainty analysis, I don't need 20 just the average data that Walker had in his paper, but 21 I need the entire ten or fifteen years to use, and I 22 had some files, electronic files that I got early this 23 year, and trying to make sense of those was just really 24 a hassle. And I finally got a kit with the input file 25 that Walker used for his model, March first. So that's 71 1 been part of the difficulty. 2 Q. Well, so, at this point, you're here today 3 prepared to testify to certain opinions that you've 4 been retained to reach. Is that correct? 5 A. That's correct. 6 Q. My question is, are you going to be coming in 7 with new opinions, or are you going to do new things, 8 between now and the trial in three weeks, or whatever 9 it is, four weeks? 10 A. I think the background work for some -- some 11 of the opinions are pretty final, and I go with -- I 12 can go over them with you, if you wish, but some of 13 those opinions will depend on what the results will be 14 of this fitting the data to both water quality data and 15 the core data and the finalization in terms of 16 finalizing the numbers in Monte Carlo. But the spread 17 sheet themselves are fairly final. 18 Q. Do you know how Tetro Tech calculated these 19 settling rates? 20 A. I have a general idea that they used water 21 quality data to fit -- to estimate the Ke values, and I 22 have a general understanding of what they are trying to 23 do, but in terms of the mechanics or the mathematics, I 24 have no idea what they did. 25 Q. Are any of the notes on these two pages 72 1 yours? 2 A. Yes. 3 Q. Just tell me what the notes say. 4 A. I have a hard time recognizing my 5 handwriting. Water column concentration was -- I think 6 in general, the general comment is that water column 7 concentration was used as opposed to core data. That's 8 the general meaning there. Bob Grabner, that's the 9 fellow I talked to at Tetro Tech. 10 This says, "Single prediction for the model," 11 but I'm not sure exactly what it means or the 12 implications for that. What water quality data has 13 been questioned to me, if there were any estimates of 14 standard error. I couldn't find any. That's just Ke 15 3.3. It could have been part of the conversation I had 16 with Bob. 17 Q. "Ke" means what? 18 A. Settling rate. 19 Q. And "KM"? 20 A. Kilometers. 21 Q. It's not K sub m? 22 A. No. That's the estimated Ke. 23 Q. Right. 24 A. Using equation nine, that's my comment. 25 "What period?" Some questions to myself. 73 1 What period did they use? I think what I did 2 here, I took their data and fitted it, just a real 3 quick fit with the Walker II model, and got a Ke of 12, 4 using core data. That was real quick. 5 I wouldn't say that there was any reliability 6 to that number. That was just -- that was just a back 7 of the envelope type calculation. 8 Q. On the first column, the first page here, 9 they apparently are estimating the phosphorus settling 10 rates using the concentration data. That would be in 11 the core? 12 A. No. This is water quality data. That's my 13 understanding of what they did, yes. 14 Q. And they in effect were partitioning. Is 15 that correct? 16 A. Yes. Saying what if we only use data from 17 zero to five and zero to eight. 18 Q. What data were they using? What water 19 quality data were they using? Do you know? 20 A. Data collected from June '78 to February '84. 21 Q. You don't know by whom? 22 A. No. 23 Q. Whether it was the district -- 24 A. I do not know. 25 Q. On the second page, they were estimating the 74 1 settling rate using concentration data, which I assume 2 is the same? 3 A. Right. 4 Q. And independent estimates, C and Q. What 5 does that mean? 6 A. They were using different values for the flow 7 rate and different values for the inlet concentrations 8 into the WCA-2A area. 9 Q. C, I can't read what sub is on that. One of 10 those is flow and one is inlet? 11 A. Where are you pointing out? 12 Q. These two. 13 A. C sub zero and Q sub zero. 14 Q. What are they? 15 A. C sub zero is the inlet concentration. Q sub 16 zero would be the inlet flow. 17 Q. Exhibit 6, what is that and why is it there? 18 A. This was one of the Walker -- it should be in 19 my other files. This was one of the Walker documents 20 that came out of the electronic files, and it was 21 useful for me in terms of summarizing data, data 22 sources, and that's a table from the Burns and 23 McDonnell document, looking at their sensitivity 24 analysis. 25 Q. Anything wrong with that? 75 1 A. No. I'm just using it as a reference for 2 comparative purposes. 3 Q. The rest of these would all be from Burns and 4 McDonnell? 5 A. Yes. That's the input table from Walker. 6 Q. From Walker. All we were just talking about 7 are contained in Exhibit 6. 8 MR. BLANK: How are we identifying Exhibit 6? 9 MR. REID: It's -- the bulk of it is Burns 10 and McDonnell, sensitivity analysis. There's also 11 electronic data that you received from Walker. 12 BY MR. REID: 13 Q. Exhibit 7 is what? 14 A. That is part of a document produced by Dennis 15 Lettenmaier, some uncertainty analyses he did, and it's 16 part of that document, or it goes with that document in 17 terms of references for other uncertainty analysis. 18 Q. By "that document," you mean the Walker 19 material we were just looking at? 20 A. Yes. 21 Q. I guess you may as well tell me, now, what is 22 a Monte Carlo simulation? 23 A. Monte Carlo simulation, it's a way to derive 24 a distribution, an output distribution, without having 25 to do it analytically, and it's done by generating 76 1 random numbers. 2 Q. Explain it to me in the context here. 3 A. In the context of uncertainty analysis, what 4 you could do is, if you knew what the probability 5 distributions were to an input, as inputs to some 6 model, you could try to derive analytically what the 7 output distribution's probability would be, and you 8 could try to do that analytically. 9 That's usually very, very difficult to do. 10 What you do is you generate random numbers from the 11 input data, run it through the model and then 12 accumulate the outputs that are now random, and derive 13 the distribution that way. It's a numerical technique, 14 if you will. 15 Q. I want you to repeat that using actual data, 16 you know, water quality, phosphorus levels, 17 concentrations or whatever. Whatever you are 18 comfortable doing. 19 A. Let's just take the case where I have a 20 model, where the flow is a random input. 21 Q. What do you mean by "random input"? 22 A. "Random input" means that the input to this 23 model is not fixed, it's not a single number, but 24 rather is governed by a distribution function. 25 Q. Sometimes you might have higher 77 1 concentrations of phosphorus in the water flowing, and 2 sometimes you might have lower? 3 A. Right. 4 Q. It varies over time, and you have no 5 consistency? 6 A. Right. We have a random distribution for the 7 flow, random distribution for the concentration. We 8 have this model that translates those inputs, the flow 9 and concentration, into an effluent concentration, 10 effluent flow. 11 Q. Effluent? 12 A. In this case you have a single value for flow 13 and concentration. You run it through the model and 14 get a single output out. 15 Q. Based on the amount of water that comes in, 16 and the concentration of whatever pollutant you are 17 dealing with, would lead to -- because once it comes 18 in, a certain amount comes out and you would determine 19 what the concentration is in the effluent or the water 20 that comes out? 21 A. I'm not sure I follow exactly what you just 22 said, but the general idea is you got a model that 23 translates some inputs, that are flow and 24 concentration, and gives you effluent concentration 25 that comes out. 78 1 Let's say you are interested in the effluent 2 concentration. You can take a single value from the 3 flow and a single value from the concentration, and 4 that would be the prediction. If the flows and 5 concentrations are random, you can try to do it 6 analytically. 7 Q. What do you mean by "analytically"? 8 A. You can try to derive analytically -- by 9 "analytically," you can try to derive what the 10 probability distribution of the effluent contribution 11 is, as a function of the probability distribution of 12 the influent flow as relates to the inputs and outputs. 13 Typically, that's very hard to do. What is 14 done is, you have this numerical technique called Monte 15 Carlo, where you generate random samples from each of 16 the distributions, run it through the model, and each 17 random sample creates one effluent concentration. 18 You repeat that many times and accumulate the 19 effluent concentrations, and that gives you an estimate 20 of the probability distribution of the concentration 21 effluent, or the output. 22 Q. Why do you do that? 23 A. Why do you do that? It depends on different 24 circumstances. 25 Q. Why would somebody be doing it regarding the 79 1 Walker model that we're working with? 2 A. That's a big question, but I'll try to give 3 you a short answer, and a legible one, too. Let's see. 4 Uncertainty analysis is very important in 5 terms of determining how variable your effluent 6 concentration predictions are going to be. 7 Q. Monte Carlo simulation is a subpart of an 8 uncertainty analysis? 9 A. It's a technique used in uncertainty 10 analysis, because there are some other approaches that 11 can be used. Monte Carlo is sometimes the easiest way 12 to do it. 13 Q. Then I understand why you want to do it. I 14 didn't understand that that was -- what you just told 15 me cleared it up. 16 A. I'm sorry. 17 Q. I thought it was something different. It's 18 just one of the ways you can test somebody's 19 hypothesis; right? 20 A. It's one of the ways that you can carry out 21 an uncertainty analysis. It's a technique for carrying 22 out an uncertainty analysis. 23 Q. What might your results be from one extreme 24 to the other? You might find that there's no 25 relationship between the two input parameters and the 80 1 output, or you might find out there's an amazingly 2 close relationship? 3 A. The Monte Carlo itself, in this case, is 4 designed to not test relationships, but simply say, if 5 the relationship is given in this way, and this is the 6 distribution of the inputs, that this is what the 7 probability distribution of the output is going to look 8 like. 9 Q. So, the -- Walker's already done that in the 10 first instance; is that right? 11 A. In the first instance -- 12 Q. That was the purpose for what he was doing, 13 to try to develop a model that would be -- that could 14 be used as a predictor. 15 A. Let me try to clarify this, because I'm not 16 sure exactly what you are saying. 17 One thing is to develop a model, and estimate 18 the model and make a single prediction with it, and the 19 second thing is to try to predict what the uncertainty 20 associated with that prediction is. 21 Q. How good the prediction is? 22 A. Not necessarily how good, but how will it 23 vary. It may vary. How good the prediction is, that's 24 sort of a related question. 25 Q. Maybe you don't go as far as I'm assuming, 81 1 but as I understand, Walker has created a model, and 2 that model is going to be used to predict certain 3 activity, which will then be used to design, in this 4 case, the STAs. 5 A. Right. 6 Q. Your job is to find out by the subsequent 7 analysis or reanalysis of what he's done, whether or 8 not it's appropriate to use his model. 9 A. The Monte Carlo itself assumes that the model 10 is correct. So, it doesn't really -- the Monte Carlo 11 will not be used to say his model is wrong or not 12 wrong. It's going to be used to determine what in fact 13 his model is using and how uncertain are his 14 predictions, because there's uncertainty in the 15 settling rate, and there's uncertainty in the input 16 set, and he's going to create an uncertain output, and 17 it doesn't necessarily reflect on his model. His model 18 is -- we're assuming the model is correct, and that -- 19 in the sense of the mechanics and the linkages between 20 the inputs and outputs are correct. 21 Q. What's the purpose of doing what you are 22 doing? 23 A. To give a realistic understanding of the 24 potential variability in the long term concentration 25 for a given design, or given an understanding of the 82 1 variability of the prediction, of the design. 2 Q. It sounds to me like you are being sort of 3 euphemistic there. 4 A. Yes. It's a subtle distinction. 5 Q. It sounds like you don't want to say that you 6 are trying to prove that Walker did something wrong. 7 That's not what you are doing, I guess? 8 A. An uncertainty analysis in itself -- there 9 are two separate issues. One is, sort of the -- is 10 whether the model mechanics are correct, whether the 11 estimate of value of Ke is correct. But there's 12 uncertainties. 13 I mean, Walker says there's uncertainties in 14 his Ke. He agrees to that. Those uncertainties are 15 going to produce an uncertain concentration. 16 He has done an uncertainty analysis for the 17 model one, I think, and the idea of the model is just a 18 representation of what the uncertainty in the 19 predictions are, and that the uncertainty could be the 20 variability of the flows. 21 My estimate of Ke is well known. My influent 22 is variable; that means my effluent is going to be 23 variable. 24 Q. You've been involved in litigation before. 25 A. Not being taken -- not taking depositions. 83 1 Q. But you've done work for lawyers? 2 A. Yes. 3 Q. You understand there are two sides. 4 A. Right. 5 Q. Do you understand what your role is in this 6 litigation, as compared to what Dr. Walker's role is? 7 A. In a general sense, yes. 8 Q. Tell me what you understand you are being 9 asked to do. 10 A. What I'm being asked to do is to review the 11 work that's been done by Dr. Walker, and see what the 12 uncertainty in the predictions are, and to see if the 13 model formulation in terms of the sensitivity of the 14 data is reasonable, and did he derive that value of Ke 15 correctly; has that been calibrated correctly. 16 Q. Is there a "Yes" or "No" answer to that? 17 A. To what? 18 Q. To that question, that series of questions. 19 Did he do that correctly or not? 20 A. I think the biggest -- biggest difference in 21 what we're talking about is just different data that 22 exists. It's not a question of correct or not correct. 23 There was some data he didn't have access to. 24 Q. The two cores you had? 25 A. And there's a question of one core and how 84 1 important that is. What I'm sort of saying, the 2 uncertainty analysis doesn't necessarily have to be 3 used or will be used to say he did everything 4 correctly. You can do an uncertainty analysis, but say 5 the value of Ke is incorrect, but it reflects the 6 uncertainty. 7 That particular technique does not 8 necessarily directly impact on whether that value of Ke 9 is right or wrong, or the model is right or wrong. 10 Q. That's just a function of whatever particular 11 subject matter you are dealing with? Some things just 12 by nature will be more uncertain than others? 13 A. Yes. The value of Ke will be uncertain, 14 because that doesn't fit the data exactly, and we're 15 simply trying to reflect what the uncertainty in that 16 does. But it doesn't necessarily -- that technique, by 17 itself, doesn't necessarily say that model is bad, 18 because it has a lot of variability. 19 Q. If you were modeling something -- give me an 20 example of a model that would have no variability. 21 Give me a simple example, the one extreme. 22 MR. BLANK: No variability or no uncertainty? 23 MR. REID: That's a good point. 24 Q. Either/or. 25 A. Either/or? 85 1 Q. I want you to give me a model that we can 2 then use as sort of our control. We will talk about -- 3 A. No uncertainty in the inputs, no uncertainty 4 in the parameter specification, no uncertainty in the 5 model area. 6 Q. Give me an example. 7 A. There's no such animal. 8 Q. They wouldn't hire you, I guess, because then 9 you would just see it. 10 A. That's right. 11 Q. Okay. Let's keep talking. 12 I think -- did you tell me who you think did 13 this? 14 A. I believe it's Dennis Lettenmaier. 15 Q. Is he doing the same thing that you are 16 doing? 17 A. That was for the original Walker data, and 18 the design. 19 MR. BLANK: Can I see that exhibit a minute? 20 (Pause.) 21 BY MR. REID: 22 Q. Exhibit 8 is what? 23 A. That's a document that was given to me, that 24 may have some use in terms of the uncertainty analysis, 25 in terms of quantification of the variability inflows 86 1 and concentration. 2 MR. BLANK: Let me interrupt and reflect for 3 the record, this Exhibit 7 we identified is only 4 pages two and three of the report that Dr. 5 Lettenmaier prepared, which is an exhibit -- the 6 complete document is an exhibit to Dr. 7 Lettenmaier's deposition in this case. 8 MR. REID: Sure. 9 BY MR. REID: 10 Q. Do you have any idea or do you know anything 11 about what Dr. Lettenmaier is doing in this case? 12 A. Only in a very general sense. 13 Q. What do you understand he's doing? 14 A. Something to do with water quality at the 15 Refuge. Something to do with the time stream of 16 payments, but I don't know, really. 17 Q. But part of it, at least in part, he's doing 18 an uncertainty analysis? 19 A. That was work he had done earlier, yes. That 20 document is simply to get some ranges that he used and 21 compare them. 22 Q. Exhibit 8, you were saying someone gave you? 23 A. Yes. This is a document prepared, I believe, 24 by, I think Dr. Walker, and the idea was simply to look 25 at his data and see if it could be used for the Monte 87 1 Carlo. 2 Q. Did you use it? 3 A. Not right now, I haven't used it. 4 Q. Are these handwritten notes in here, your 5 notes? 6 A. Yes. 7 Q. On page 3, there's a sentence, "Assuming that 8 the STAs perform similarly to these other wetland 9 treatment systems," and then it goes on, and you have 10 "Big assumption." Why do you put that there? 11 A. Just an assumption. 12 Q. Why is it a big assumption? 13 A. I don't think there's any significance to 14 that. 15 Q. Do you believe they will, or do you believe 16 they won't, or do you have an opinion about it? 17 A. I think there's a question about 18 transferability of the K value, but it's not clear to 19 me right now whether it is transferable or how 20 untransferable it is. 21 Q. From these other various North American 22 wetland systems that Kadlec reports? 23 A. Let me see. I guess it's a very vague 24 statement, also, "perform similarly." What do you mean 25 by that? 88 1 Yes, it should probably perform within the 2 range. The question is, what I was thinking about 3 more, whether if you can take a Ke derived in one 4 WCA -- in WCA-2A and say that's going to be the Ke at 5 the STAs. That's an assumption. 6 Q. You don't have an opinion whether the WCA-2A 7 experience is transferable to the STA design? 8 A. My opinion is, there is some question about 9 the transferability, but I don't have an answer to it, 10 yes or no, it is not transferable, but I think it's an 11 issue. 12 Q. Do you have an answer as to how probable it 13 is, that relationship? 14 A. No. It would require some additional 15 analysis. 16 Q. You haven't done it? 17 A. No. 18 Q. What is the note on page 4 in your hand? 19 Something "control assumption"? 20 A. Let me see. "Another critical assumption." 21 Q. "Another critical assumption." Again, it has 22 to do with comparing WCA-2 to something else. Is that 23 correct? 24 A. It says, "Quantification of this benefit is 25 difficult." 89 1 Q. Then on page six, you have a note, and the 2 specific comment is, "The long term flow weighted mean 3 discharge concentration is less than or equal to the 50 4 PPB design objective." 5 When you commented on that, what did you say 6 about that? 7 A. That's the -- the way, you know, the 8 hypothesis, innocent until proven guilty or guilty 9 until proven innocent. That's just a given that -- 10 Q. Then on page 8, there's a -- you have a 11 comment, a question mark. Why don't you read the 12 comment to me first? Then I'll see if we need to talk 13 about it. 14 A. It's just saying that there's a 10 percent 15 chance that you would reject the hypothesis 16 incorrectly. It's a statement of what he's saying, 10 17 percent. 18 Q. Exhibit 9 is the Qian-Reckhow paper. You 19 told me previously how you intend to use that. As a 20 laugh test, I think you said. 21 A. I think the -- that the general idea is to 22 look at that data set, and see if you are within the 23 ballpark, and see if it makes sense. 24 Q. What data sets was he using? Do you 25 remember? 90 1 A. I think he was using -- I'm not sure, but I 2 know that he is not using the -- the data set Dr. 3 Kadlec was using, and our intention was to use the same 4 data Dr. Kadlec was using, and we just got that data 5 two days ago. 6 Q. Actually, I thought he was using Kadlec and 7 WCA-2A data. 8 A. It's not clear to me. 9 Q. I took his deposition. I thought that's what 10 he said. 11 A. The understanding I have -- well -- 12 Q. Go ahead. That's fine. 13 A. He's not using the same data set that Dr. 14 Kadlec is. 15 Q. Kadlec's North American data set has been 16 updated since Reckhow used it, apparently. You're 17 right in that sense. 18 A. Okay. 19 Q. Tell me this. I want you to read this first 20 paragraph, right here. Just read it to yourself. 21 A. "To compare"? 22 Q. Starting there. 23 A. "To compare" -- 24 Q. To yourself. 25 MR. BLANK: Just for the record, what page 91 1 are you on? 2 MR. REID: Page 13 of the Reckhow article. 3 (Pause.) 4 A. Without doing -- reading this paper in 5 detail, I don't know what he's saying. It's not clear. 6 Q. Are those Ke values right there, 9.65 and 7 9.68? Is that what those are meant to be? 8 A. I don't think so. I think he's talking about 9 residual sum of squares. 10 Q. No. 10, Exhibit 10 is Appendix F to the SWIM 11 plan. Are you using that? 12 A. Yes, general reference. 13 Q. Anything in particular in this that you are 14 using? 15 A. Not that I -- not that I -- 16 Q. Okay. Exhibit 11 is a fax from Kadlec to 17 Walker, with some data, WCA-2A inlet zone analysis. 18 Are you using that in any way in your work? 19 A. Not right now. 20 Q. No. 12 is the Lettenmaier paper, that I think 21 we had two pages from a moment ago, dated January 8, 22 '93. 23 This would be comments or a study of Walker 24 I -- Roman Numeral One, when we talk about Walker I and 25 Walker II. 92 1 Is that correct? 2 A. Yes. That is my understanding. 3 Q. Are you using this in any way? 4 A. Only as a reference for comparative purposes 5 for the uncertainty analysis. It has some ranges on 6 the values and sort of a check on whether I'm in the 7 ballpark. 8 Q. Exhibit 13, Exhibit 14, Exhibit 15, Exhibit 9 16, all seem to be similar sorts of -- 10 A. Yes. 11 Q. What are these? 12 A. I received a data set from, I believe it's 13 Curt Richardson, that was -- initially tried to look at 14 the relationship between total phosphorus out and the 15 phosphorus loading in, and these were just some 16 preliminary exploratory plots, and we found out this is 17 not the right data set, and so we -- that's as far as 18 this got. This is just plots of the relation between 19 total phosphorus out and total phosphorus in. 20 This plot is all a data set, and what I tried 21 to do is identify from what system it was. I didn't 22 have any information what system it was, but at least 23 try to differentiate what systems, and see what you 24 get, just some preliminary fits. 25 This one did the same thing, except 93 1 restricted the ranges of observation to phosphorus 2 loading in of less than two grams per square meter per 3 year, as opposed to the range of one to a thousand. 4 What this did was look at P average as 5 opposed to individual observations for each site. 6 Q. These are core samples or water quality? 7 A. No. This is, my understanding, information 8 on the phosphorus out water concentration versus 9 phosphorus loading in. 10 Q. That would be water quality? 11 A. Yes. 12 Q. Readings, at the structures, coming in and 13 going out? 14 A. For different wetland systems. 15 Q. Is this WCA-2A? 16 A. No. The data set I had was supposed to have 17 been part of the North American data base, but since 18 then we know that's not the right data set. There's 19 new data sets or new site sets included, and we just 20 got that data two days ago. 21 Q. So, this, geographically, you don't know, as 22 you sit here, you don't know what this included? 23 A. No. We just plotted them out, just 24 preliminarily. 25 Q. It looks like you seek some sort of general 94 1 relationship? 2 A. There's a general relationship, but the 3 question is to deal with this, and the idea is to do 4 the same thing as part of this laugh test I referred 5 to, but with the correct data set. 6 Q. Exhibit 17? 7 A. That's an output of the -- one output of the 8 uncertainty analysis. 9 Q. Done by whom? 10 A. Myself. 11 Q. Obviously, that's the result of your work? 12 A. That's right. 13 Q. We will put that aside and talk about it 14 later, when we talk about your opinions. 15 Exhibit 18 is a Kadlec article? 16 A. A reference document. 17 Q. Anything in there in particular? Background? 18 A. Background. 19 Q. Next is, "Uncertainty analysis by Walker," 20 done in October of '92. This would have been for his 21 first work. Is that correct? 22 A. Yes. Prior to the '93. 23 Q. Did you use this in any manner? 24 A. The same way that I've used all the other 25 uncertainty analyses. Just as a corroboration, backup, 95 1 confirmation, comparative analysis of the uncertainty 2 ranges. 3 Q. Does Exhibit 18, or 19, rather, reflect 4 essentially the same thing that you've done, and did 5 Walker just do an uncertainty analysis and now you are 6 doing another one? 7 A. I think the general technique is the same. 8 The difference would be in how the probability 9 distributions are specified, but it's a general idea, 10 yes. 11 Q. He was doing to his own work, what you are 12 now doing to his work? 13 A. Pretty much so, yes. In a general sense. 14 The details are different, but -- 15 Q. Why would they be different? 16 A. In terms of how the estimates of the 17 uncertainty in Ke are determined, the uncertainty in 18 the influent values, for example, they would be 19 different -- his uncertainty analysis, it's not clear 20 to me what uncertainty he's using for the flows, what 21 value he's using. 22 In principle it's the same, but I would be 23 using different -- the design as being used by Burns 24 and McDonnell, which is not part of this design. 25 Q. Certainly, this would be different? 96 1 A. The general principles are the same, but 2 there are different details. 3 Q. If you were doing an uncertainty analysis of 4 his previous paper, Walker I, would it be exactly like 5 this? 6 A. I don't see any documentation for what 7 distribution he's using, for the probability 8 distributions that he's using. 9 Q. Does that mean that this uncertainty analysis 10 has some measure of subjectivity based on what the 11 analyzer decides? 12 A. Only in the same way you would say that two 13 different models are subjective in terms of what 14 components are important, yes. It's -- in terms of 15 what components in the model are important to include. 16 If you want to call that subjectivity or judgment or 17 professional judgment, yes. 18 Q. I see that being different from this, in that 19 here you are, in effect, analyzing a set piece of work. 20 You're both analyzing the same piece of work. So, my 21 question is, is there subjectivity in that analysis 22 process? 23 A. I wouldn't call it subjectivity. I would 24 call it professional judgment, in terms of what 25 distributions -- 97 1 Q. Give me an example. 2 A. Some things may not be important. Someone 3 may say, "Well, I don't believe the uncertainty in the 4 precipitation variability is important. I'm not going 5 to include it." Or, "I would use a uniform 6 distribution." 7 You can try to estimate what that 8 distribution is and use a normal distribution. 9 Ultimately, the bottom line is whether it makes any 10 difference in terms of the concentration. 11 Q. In the range of ideas, in this battle between 12 you and Walker on -- how does one decide who is correct 13 in making these evaluations? What's the ultimate -- 14 A. The thing I worry about is whether in fact 15 the predictions are very different. There's always 16 going to be different assumptions. The question is, 17 does it make any difference or not? That would be the 18 first thing I would ask. 19 Q. The issue here would be how many acres are 20 you going to need for the STAs. 21 A. That answer depends on elements that are 22 outside the uncertainty analysis. That answer will 23 depend on the level of reliability that you are going 24 to need to meet a particular limit, and so, the acreage 25 will depend on that. The higher the level of 98 1 reliability, the higher the acreage. 2 Q. Say that again. 3 A. The higher the level of reliability that you 4 want to meet a given target limit, the higher the 5 acreage you need. 6 Q. You mean more acres? 7 A. If you want to be more certain. 8 Q. I see what you mean. Sort of like -- or just 9 having more room for error? You are having more 10 acreage, which theoretically would take up more 11 phosphorus? 12 A. Bigger safety factor. 13 Q. Exhibit 20 is a fax from Walker to Kadlec. 14 A. Again, I was looking at these ranges. 15 Q. Are these your notes? 16 A. No. That, near the top, that says, "Two of 17 two," is my notes. 18 Q. Anything about this that you have relied on, 19 or is it just looking again for a kind of general 20 similarity? 21 A. Yes. There are some parameters that we're 22 going to have to use; a range, for example. The 23 rainfall phosphorus concentration uses 13 to 67, for 24 example, here. In some cases, we're going to have to 25 rely on what their range is. 99 1 Q. Exhibit 21? 2 A. Basically, the same thing. Just more 3 reference of his uncertainty analysis. 4 Q. Again, on Walker I? 5 A. I believe this is a subset. Yes. Walker I. 6 Q. He did a Monte Carlo simulation, Walker did? 7 A. Yes. 8 Q. 22? 9 A. This is a graph -- I don't know who exactly 10 did it, but it was part of either Walker or Dr. Kadlec. 11 It's not clear who did it. But showing the same 12 relation between PLI and TP, and this is the work that 13 we're basically going to be trying to reproduce. 14 Q. Is this the Everglades or -- 15 A. I'm not sure. No, it's the data from 49 16 different wetland zones. 17 Q. Okay. That ultimately led to the ultimate 18 decision, or the ultimate work product of Walker, 19 Walker II? 20 A. No. No. I don't think so. This is sort of 21 a general -- a general indication of performance of 22 wetlands. 23 Q. I misunderstood. I thought you said that's 24 the data we're going to be working with? 25 A. No, that's the data for what I call the laugh 100 1 test. 2 Q. Exhibit 23 is a fax from Kadlec to Walker. 3 Anything about this that is significant to you? 4 A. I think these are two, basically, faxes just 5 talking about the -- 6 MR. REID: Excuse me one second. 7 (Pause.) 8 A. I think the only note is that the estimate of 9 the uncertainty analysis, or the confidence limits of 10 this estimate, this person's thinking, is a little low, 11 and that's basically confirmed by my bootstrap works. 12 Q. You jumped ahead of me here. 13 Let's look at 23 first. 14 A. That was just a general reference. This is 15 the one that -- 16 Q. No significance, really, in your work on 23? 17 A. No. 18 Q. 24 is a message to Kadlec from somebody named 19 Curl. 20 A. Yes. Basically, he's saying that the 21 uncertainty analysis, his standard, I mean, his 22 confidence limits for Ke are a little tight, and my 23 bootstrap analysis certainly confirms that, as well. 24 It's not a significant difference, but it is a 25 little -- my bootstrap limits are a little wider than 101 1 what Walker gets. 2 Q. Tell me what that means. 3 A. It means that -- 4 Q. Less likely to be -- 5 A. I'm saying that the uncertainty in Ke is 6 broader than the uncertainty that Walker gets from his 7 Ke. 8 Q. Which means that Walker's would be more -- 9 Walker's -- you believe that Walker's is not as 10 predictive as Walker thinks it is? 11 A. No. All I'm saying is that the confidence 12 limits are broader for Ke than what -- what Walker's 13 is, but the difference is -- I don't have the numbers 14 in front of me, but it's -- I haven't compared to see 15 what effect those confidence limits have on the 16 ultimate effect, the ultimate distribution of the 17 effluent concentration, whether it makes a big 18 difference or not. 19 Q. But that's one of the factors you might look 20 at to critique Walker's work, in terms of whether it's 21 suitable to be used in the real world of design? 22 A. What the purpose of the uncertainty analysis 23 is, is simply to show if you designed the STAs at a 24 certain level, there's a probability you're going to 25 exceed the fifty or sixty parts per billion. 102 1 What we're talking about is changes in those 2 distributions, not the interpretation. 3 Given that you want a given reliability of 4 meeting those target limits, there would be some 5 differences in what the required acreages will be to 6 meet that target limit, but it's not clear to me 7 they're going to be significant at this point. But the 8 point is that the level of reliability is really what's 9 going to drive this game. 10 Q. And the practical result of that would be 11 that you would need more acreage to make sure -- 12 A. For any uncertainty analysis. If you look at 13 Walker or anyone else's, the higher level of 14 reliability you want to meet that target, you are going 15 to need larger acreage. 16 The difference in our analysis would be how 17 much more or less acreage to meet that target limit. 18 At this point, I haven't carried out the analysis to 19 see how sensitive it is. 20 Q. Is that something you would do? 21 A. That's part of what the uncertainty analysis 22 is designed to do, yes. 23 Q. Would you talk, in the end, about acreage? 24 A. For a -- I will not make a recommendation 25 saying this is what the acreage needs to be. 103 1 What I will do is provide a range of acreage 2 saying, "If you want to meet this target limit, this is 3 how much acreage you need to meet it." 4 Q. You haven't done that yet? 5 A. No. 6 Q. And you are not going to do that? 7 A. I will. 8 Q. When are you going to do that? 9 A. Before trial. As I said, the Monte Carlo, 10 you can look at the Monte Carlo and get rough estimates 11 for that acreage. 12 Q. You will tell me that later? 13 A. Yes. 14 Q. Exhibit 25? 15 A. That's just a background document. 16 Q. Exhibit 26? 17 A. That was part of the -- that original graph 18 that I was talking about before, about phosphorus 19 accumulation versus concentration, and going through 20 zero or going through somewhere else. 21 Q. Just so I understand, you would need more 22 acres if the settling rate is 4.6 than you would if 23 it's eight? 24 A. The higher the settling rate, the less 25 acreage you need.