179

1 DIVISION OF ADMINISTRATIVE HEARINGS

2 DEPARTMENT OF ADMINISTRATION, STATE OF FLORIDA

3

4 SUGAR CANE GROWERS COOPERATIVE

5 OF FLORIDA; ROTH FARMS, INC.;

6 and WEDGWORTH FARMS, INC.,

7 Petitioners,

8 -vs- DOAH Case

9 No. 92-3038

10 SOUTH FLORIDA WATER MANAGEMENT

11 DISTRICT, an Agency of the State

12 of Florida; et al.,

13 Respondents.

14 __________________________________/

15 FLORIDA SUGAR CANE LEAGUE, INC.;

16 UNITED STATES SUGAR CORPORATION,

17 Petitioners,

18 -vs- DOAH Case

19 No. 92-3039

20 SOUTH FLORIDA WATER MANAGEMENT

21 DISTRICT, an Agency of the State

22 of Florida; et al.,

23 Respondents.

24 __________________________________/

25

 

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1 FLORIDA FRUIT AND VEGETABLE

2 ASSOCIATION; LEWIS POPE FARMS;

3 W.E. SCHLECHTER AND SONS, INC.,

4 and HUNDLEY FARMS, INC.,

5 Petitioners,

6 -vs- DOAH Case

7 No. 92-3040

8 SOUTH FLORIDA WATER MANAGEMENT

9 DISTRICT, an Agency of the State

10 of Florida; et al.,

11 Respondents.

12 __________________________________/

13

14 The continued deposition of ROBERT KADLEC,

15 PH.D., a witness in the above-entitled cause, taken

16 before Lauren B. Bienenstock, CSR-1361, RPR, CM, and

17 Notary Public in and for Oakland County, Michigan,

18 (acting in Washtenaw County, Michigan), at Radisson on

19 the Lake, Ypsilanti, Michigan, on the 22nd day of March,

20 1994, commencing at 9:15 a.m., pursuant to the Michigan

21 Court Rules.

22

23

24

25

 

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1 APPEARANCES:

2 GARY V. PERKO

3 Hopping Boyd Green & Sams

4 123 South Calhoun Street

5 Tallahassee, Florida 32314

6 Appearing on behalf of Sugar Cane Growers

7 Cooperative of Florida; Roth Farms, Inc.;

8 and Wedgworth Farms, Inc.

9 RICK J. BURGESS

10 Earl, Blank, Kavanaugh & Stotts, P.A.

11 One Biscayne Tower

12 Suite 3636, Two South Biscayne Boulevard

13 Miami, Florida 33131

14 Appearing on behalf of Florida Sugar Cane League,

15 Inc.; and United States Sugar Corporation.

16 JON M. LIPSHULTZ

17 United States Department of Justice

18 Environmental Defense Section

19 10th and Pennsylvania Avenues, N.W.

20 Room 7328

21 Washington, D.C. 20026

22 Appearing on behalf of United States of America.

23 ALSO PRESENT: Ronald Munson

24 Carlos Marin

25 Curtis Richardson

 

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1 Ypsilanti, Michigan

2 March 22, 1994

3 About 9:15 a.m.

4 ROBERT KADLEC, PH.D.,

5 having first been duly sworn, was examined and testified

6 on his oath as follows:

7 EXAMINATION BY MR. BURGESS:

8 Q. Good morning, Doctor Kadlec.

9 A. Good morning.

10 MR. BURGESS: I will just note for

11 the record that counsel has handed me a group of

12 documents this morning that he has represented have been

13 released from the privilege list previously filed for

14 this witness and we are going to endeavor to make copies

15 of these during the day, review them this evening, and

16 time permitting inquire of the witness on these

17 documents, perhaps tomorrow.

18 MR. LIPSHULTZ: That's correct. I

19 just want to also put on the record that we decided to

20 exchange these documents voluntarily and by so doing do

21 not mean to imply any waiver of any privilege that might

22 apply to any similar documents.

23 The other housekeeping thing is I

24 notice there is a bunch of other people in the room

25 today. I just thought maybe it would be useful to give

 

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1 their names and affiliation.

2 MR. BURGESS: This is Doctor Carlos

3 Marin, he is a consultant to my law firm, and Doctor

4 Curtis Richardson, the same.

5 MR. PERKO: And next to me is Mr.

6 Ron Munson of Tetra Tech, consultant of my law firm.

7 MR. LIPSHULTZ: Thank you.

8 Q. (BY MR. BURGESS): Good morning, Doctor

9 Kadlec.

10 A. Good morning.

11 Q. If we could turn back to Exhibit 15 and the

12 TP k value summary table?

13 A. I have it.

14 Q. These are the same tables we spent a

15 considerable amount of time on yesterday and I want to

16 go back to them since you have identified these sites as

17 being the ones that would support your opinions in this

18 matter. Why were, why was this table created? Let's

19 start there.

20 A. This table was created for two parallel

21 reasons. One was that this is the information from

22 which I derived the modeling information for the chapter

23 in the textbook which is where it appears, that is what

24 Exhibit 15 is, and the second reason is that since the

25 current proceeding has to do with phosphorus modeling in

 

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1 STAs, which is the subject of the chapter, it obviously

2 supports the present litigation.

3 Q. What criteria did you use for selecting sites

4 to include in the table?

5 A. The sites in the table were selected on two

6 grounds. I was looking for sites for which I had

7 information. There are two principal sources of

8 information available to me. One is the information

9 organized in the North American Database and secondly,

10 information not entered into that database that was in

11 my personal files.

12 Q. And then what was the criteria for selecting

13 from the NADB or from your personal files to include on

14 this list?

15 A. As the title indicates, we're dealing with

16 basically emergent marsh wetlands in this subset. As a

17 second criteria for being in this table they had to have

18 the information available to determine the first order

19 rate constant.

20 Q. Would it be your testimony then that all

21 emergent marshes and all emergent marshes with

22 information available to determine first order rate

23 constant in the NADB or in your personal files but not

24 in the NADB is included in this list?

25 A. With some exceptions that we discussed

 

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1 yesterday in testimony.

2 Q. The, your reference with that comment is to

3 the list of wetlands we discussed that were an appendix

4 to the Kadlec Newman report or were there others?

5 A. I believe all the sites were on that list. I

6 can't recall. There are others in this table that were

7 not in the list but between those two I think we pretty

8 well had the whole list.

9 Q. Let me just show you what's been previously

10 before marked as Exhibit 8 from this deposition. The

11 sites that we went over yesterday as having first been

12 identified during your initial deposition as sites you

13 might rely on but yesterday you giving me reasons why

14 they were removed from the list, were those -- strike

15 that.

16 When you just said in your testimony

17 with some exceptions, are you referring to the sites

18 that were removed from consideration by yourself as

19 having data that would support your opinions or were you

20 referring to the entirety of that list there in appendix

21 A?

22 MR. LIPSHULTZ: I'm going to object

23 to the form of your question.

24 A. I'm sorry. I'm now confused about your

25 question.

 

186

1 Q. (BY MR. BURGESS): I need to go, then we need

2 to probably go back through this. When I, I'm asking

3 you whether you have included on this list here in

4 Exhibit 15 all emergent marshes and all emergent marshes

5 which had information available to determine the first

6 order rate constant, whether they be in the NADB or

7 whether they be in your personal files, you said yes

8 with some exceptions that we discussed yesterday. I'm

9 trying to, we discussed a lot yesterday and I guess I'm

10 trying to go back, what are the exceptions that we

11 discussed yesterday?

12 A. The one that comes to mind is that in Exhibit

13 8, entry three o' three is Brillion Marsh and I think I

14 indicated to you yesterday that I had excluded that on

15 the grounds that the overall mass balances for the

16 system appeared incorrect and that other information to

17 do a reasonable estimate of the rate constant were not

18 included and in this list I think that's the only one we

19 discussed in that category.

20 Q. So then this list here in Exhibit 15, the TP

21 k value summary chart, would contain all emergent

22 marshes with information available to determine the

23 first order rate constant other than the Brillion Marsh?

24 A. Yes. Those, there are other emergent

25 marshes. There are other emergent marshes that are in

 

187

1 the database but those from which I could extract a rate

2 constant appear in the table in Exhibit 15.

3 Q. Approximately how many other emergent marshes

4 are in the database?

5 A. Oh, we discussed that yesterday and without

6 going through and looking at the appropriate cells table

7 in the database, which contains information on over two

8 hundred cells, I really can't answer that question

9 accurately. I would suggest that perhaps on the order

10 of fifty percent of the sites are, would be classified

11 as emergent marshes.

12 Q. Fifty percent of the wetlands or fifty

13 percent of the cells?

14 A. Those, the terminology used in the database

15 includes a hierarchy of sites at which there are located

16 systems which are independent flow paths which in turn

17 are comprised of cells. The term wetland can apply to a

18 cell or to a system so --

19 Q. So when you say fifty percent of sites, what

20 are you referring to, systems or cells or wetlands?

21 A. I would be referring to cells in this case.

22 Q. I've totaled up the cells that are written in

23 the column here in Exhibit 15 in the TP k value chart

24 and they come to fifty-four, I believe, so would it be

25 your testimony that approximately another fifty-four

 

188

1 such cells exist which are emergent marshes which were

2 not included in this chart?

3 A. There would be approximately an equal number

4 that did not possess enough information or sufficiently

5 good information from which to extract a k value.

6 Q. And the insufficient information may pertain

7 not only to other cells for the systems that are listed

8 here in Exhibit 15 but may also pertain to other systems

9 that are not listed in Exhibit 15?

10 A. It would be primarily pertaining to other

11 systems. If you will pardon me just a moment, I think

12 that all of the emergent marsh cells at each site are in

13 fact listed. There are no missing cells for any of the

14 sites listed.

15 Q. There are no missing --

16 A. In other words, Listowel, Ontario, is a

17 site. There are five cells which are also systems

18 because they are one cell apiece. There are no other

19 cells at that site. That's all of them.

20 Q. So, for the systems listed here then in this

21 chart, each emergent marsh cell at each of those systems

22 is listed?

23 A. That's correct.

24 Q. And so I understand your testimony, there

25 would be approximately fifty more emergent marsh cells

 

189

1 from other emergent marsh systems which are not listed

2 because you could not derive a rate constant?

3 A. That's right. They would be missing

4 information on either phosphorus in or phosphorus out or

5 flow rates or areas or some information that would be

6 needed to calculate rate constant.

7 Q. Can we go through that list in Exhibit 8 and

8 can you tell me what systems were missing information?

9 I don't need to know specific information that was

10 missing but what emergent marsh systems were missing

11 some sort of information that didn't allow you to

12 calculate the flow rate, is that possible?

13 A. Well, it's possible in part but there are

14 probably a hundred wetlands listed here so you are

15 really pushing my memory to the extreme here but I'm

16 willing to go through the list. I mean insofar as I can

17 recall as I sit here, I would be pleased to provide that

18 information, but I by no means can do this whole list

19 from memory.

20 Q. One second.

21 (Whereupon an off the record

22 discussion was held).

23 Q. (BY MR. BURGESS): Appendix A does not

24 distinguish as it goes through the list here what is

25 emergent marsh, what is forested, is that correct?

 

190

1 A. That's correct.

2 Q. Well, let me ask you with respect to

3 Armstrong Slough, Central, Vereen, Santa Rosa, Lake

4 Apopka, Bellaire, and Island Lake. Are any of those

5 emergent marsh systems which were excluded for lack of

6 information?

7 A. Well, it is my recollection that Armstrong

8 Slough would have been excluded for lack of data because

9 it is my belief that that is an emergent marsh system, I

10 believe. I think, as we discussed yesterday, Central

11 and Vereen are forested systems. Santa Rosa was missing

12 flow rate information. Lake Apopka has not produced

13 data. Island Lake I am, I cannot recall in the case of

14 Island Lake. I would have to consult the database.

15 Q. And Bellaire?

16 A. Bellaire is a forested system.

17 Q. What is the minimum amount of data that you

18 need to, in order to calculate the flow rate, I mean in

19 order to calculate the TP k value?

20 A. Well, in principle one could use one reported

21 value of inlet phosphorus, one reported value of outlet

22 phosphorus, one reported value of flow rate, and an

23 area. However, but I was attempting to categorize the

24 data by quarters and I felt that I should have at least

25 one quarter of data so there may have been some systems

 

191

1 in here that had one reported value and those cases it

2 would have been a value judgment as to whether that

3 reported value was someone's judgment as to a long-term

4 value behavior or not but in general these are the

5 systems that had significant bodies of information.

6 Q. As I go through this list I don't see where

7 you included any systems that had one quarter. Was your

8 criteria a minimum of two quarters of data?

9 A. Not intentionally. That may be just

10 coincidental, and as a matter of fact, I would point out

11 that the latest system that we've just most recently

12 provided, the Tarrant county system, that will be

13 information from one quarter because that's all we have

14 since finished start-up.

15 Q. Was data collected at Tarrant county during

16 start-up?

17 A. There was a large amount of data collected

18 during start-up, yes.

19 Q. Are you including that data?

20 A. Well, I would not use that data. In the time

21 I've had available, I wasn't using it to put it in the

22 table. A large number of events happened at that site

23 during start-up including two major floods during

24 start-up period so data are interrupted for a variety of

25 reasons.

 

192

1 Q. Yesterday we, when we went through this list,

2 you identified, I believe, for me the first four systems

3 and I'm on Exhibit 15 now, the TP k value table. You

4 said the first four systems were calculated from

5 input/output data, is that correct?

6 A. Well --

7 Q. Why don't we do this. Tell me how you

8 calculated the k value for the first four systems.

9 A. The answer to your question, first question

10 was yes. All right. The TP k values were computed in

11 one of two ways, generically. One is from input/output

12 data. The second is from transect data. In both cases

13 a model was applied which was one or another variance of

14 what is usually called a plug flow model.

15 Q. Is the model that you applied documented in

16 Exhibit 15?

17 A. At least two of the major variants, I

18 believe, are documented and perhaps, yes, also the third

19 variant is also included. The answer to your question

20 is yes.

21 Q. If we can perhaps run through the list and I

22 think we've dealt with the first four which would have

23 been done on input/output data, was --

24 MR. LIPSHULTZ: When you say first

25 four --

 

193

1 Q. (BY MR. BURGESS): Des Plaines, Jackson

2 Bottoms, Lakeland, and Pembroke. Great Meadows input or

3 transect?

4 A. Input/output.

5 Q. Fontanges?

6 A. Input/output.

7 Q. Houghton Lake?

8 A. Transect.

9 Q. Cobalt?

10 A. Input/output.

11 Q. Brookhaven?

12 A. I'm going to abbreviate. I/O, input/output.

13 Q. Leaf River?

14 A. I/O.

15 Q. Clermont?

16 A. I/O.

17 Q. Sea Pines?

18 A. I/O.

19 Q. Benton?

20 A. I/O.

21 Q. Listowel?

22 A. Listowel was basically I/O but they have a

23 limited amount of transect information as well.

24 Q. And did you use both sources of information

25 for calculating TP k?

 

194

1 A. Primarily the input/output basis.

2 Q. Iron Bridge?

3 A. Input/output, but also transects across the

4 system. In this case it's an interconnected cluster of

5 cells and I have in the past used information based on

6 the fractional distance through that system so the

7 answer is I have used both at various times.

8 Q. How about for calculating this thirteen point

9 five TP k value here, do you know what you used?

10 A. The thirteen point five in this case I

11 believe is I/O generated.

12 Q. Do you recall what the values were for the ks

13 that were generated based upon the transect data?

14 A. If you give me one moment, I can find that in

15 Exhibit 8. Yes. Value was ten point o'.

16 Q. Ten point o'?

17 A. Yes.

18 Q. What page is that on in Exhibit 8?

19 A. That's in Exhibit 8 on page that has a

20 number, it's four page four dash four of Exhibit 8. I

21 should also point out that the figure ten point o' is a

22 different period of record because the document in

23 Exhibit 8 was written prior to doing the I/O data so I

24 believe there is at least one more year's data involved

25 in the figure of thirteen point five.

 

195

1 Q. So just by including one more year's worth of

2 data you can increase the settling rate by thirty-three

3 percent?

4 A. No, that's not what I said. There is two

5 different techniques being applied. One is input/output

6 data which is being used in Exhibit 15 and then you

7 inquired about a value that might have been obtained

8 from transect interpretation which is value of ten point

9 o' for a different period of record which appears in

10 Exhibit 8.

11 Q. Can you tell me how much of the variation

12 between the ten o' and the thirteen point five is due to

13 the additional data and how much is due to transect

14 interpretation verses input/output data?

15 A. No. I have not done a transect

16 interpretation of the larger data set because I don't

17 have the information from which to add those years and

18 the reason for that is that my colleague entered the

19 more recent data into the North American Database and it

20 does not include sufficient information to do the

21 transect calculation.

22 Q. Do you have an opinion as to which method is

23 better utilization of input/output or transect

24 interpretation?

25 MR. LIPSHULTZ: Object to form. It

 

196

1 is unclear what you mean by better.

2 Q. (BY MR. BURGESS): For purposes of

3 calculating TP k value?

4 MR. LIPSHULTZ: Same objection.

5 A. I don't as I sit here have, I don't believe,

6 any, any belief that either of those methods should be

7 regarded as better. They both under the assumptions of

8 the model that is being used, they should both be

9 equivalent in terms of extracting data and k values.

10 Q. (BY MR. BURGESS): For both methods do you

11 need to define an impacted area?

12 A. You don't need to define an impacted area for

13 either method.

14 Q. Continuing going down our list, Iron Bridge

15 we just finished. How about Boney Marsh?

16 A. That was input/output data.

17 Q. 2A?

18 A. That was a transect interpretation.

19 Q. Orlando, Orange County Eastern Service

20 Center?

21 A. That was a transect basis.

22 Q. Humboldt, neither?

23 A. Humboldt is neither because it's a batch

24 operation. That is the equivalent of a transect

25 interpretation. Tarrant county will be input/output.

 

197

1 Q. Is the TP k value the same as a ke value?

2 A. Counsel has touched upon an area of great

3 confusion in the documents in this case because there

4 are wide variety of nomenclatures in use and I myself

5 has used more than one nomenclature. The TP k value

6 that is in the table in Exhibit 15 is a long-term first

7 order aerial phosphorus removal constant.

8 Q. And is that similar or different to the ke

9 value that is expressed in your 12-20-92 model

10 transmission to Galen Miller?

11 MR. LIPSHULTZ: Do you have a

12 specific document?

13 A. I would, I know the document you are

14 referring to.

15 Q. (BY MR. BURGESS): I know you do.

16 A. But I don't recall at this point. The

17 nomenclature has changed as time has gone on.

18 MR. PERKO: Exhibit 6, Rick.

19 MR. LIPSHULTZ: Why don't we

20 identify this for the record. This is Exhibit 6 to the

21 earlier deposition of Doctor Kadlec.

22 A. Yes, it would be the same as the ke in the

23 Exhibit 6 document.

24 Q. (BY MR. BURGESS): For purposes of defining

25 TP k value, what do you mean by long term?

 

198

1 A. Well, as we discussed yesterday, I'm

2 excluding the events during start-up period and I have

3 from time to time expressed a k value calculated during

4 a period when the marsh was undergoing development or

5 significant transformation as an uptake value so the k

6 values we're talking about in Exhibit 15 and in Exhibit

7 6 are the long term, meaning past start-up values of the

8 aerial uptake constant.

9 Q. The start-up period of time is different or

10 is dependent upon the system, is that correct?

11 A. Yes, it's in general terms a time span that's

12 anywhere from a few weeks for a wetland that has been

13 vegetated by moving blocks of soil, litter, and so

14 forth. In Des Plaines is perhaps as long as three or

15 four years.

16 Q. Let me go back to Exhibit 15 and our list.

17 Yesterday we addressed subject matter of data quarters

18 and the follow-up to some of those. Did the quarterly

19 data consist of weekly, daily, or monthly data?

20 A. It varied from site to site and in some cases

21 from cell to cell.

22 Q. Is that or are those variations shown in the

23 NADB?

24 A. In the construction of the North American

25 Database, a decision had to be made of the, as to the

 

199

1 smallest frequency that we would be able to include on

2 conditions of the size of the actual database. The

3 decision was taken that in general we would enter in the

4 database information averaged by quarter with some

5 exceptions where monthly data was easily transcribed

6 into the database but in no case, if it existed, did we

7 enter daily or weekly information.

8 I must also point out then in some

9 systems there was no regular interval between sampling

10 points.

11 Q. So you didn't use weekly or daily entries in

12 NADB or you did use them?

13 A. In a case where weekly or daily data was

14 available, in the interests of space conservation in the

15 database, those values were averaged separately to the

16 quarterly basis and then entered into the database.

17 Q. And do monthly data appear on the database or

18 those similar?

19 A. They do and for the reason I just gave and

20 that is that if it was electronically easily

21 transcribeable, that information was in some cases then

22 just copied into the database.

23 Q. And the data that, for the systems which

24 appears in a monthly basis, were those averaged to get

25 the quarterly values?

 

200

1 A. Insofar as possible. In other words, if

2 monthly data existed in constructing the table TP or PK

3 sum. in Exhibit 15, the quarterly averages were formed

4 from the monthly data.

5 Q. You said in some instances?

6 A. Yes. Bear in mind that there is a proviso at

7 the top of the table that in some instances there are

8 periods that were slightly different from a quarter and

9 they were called quarters and there may be one or so

10 instances in here in which perhaps an annual data was

11 all that we had access to and that may have been

12 represented in here as well.

13 Q. Are the TP in and TP out numbers that appear

14 in Exhibit 15 in the table flow weighted or time

15 averaged values?

16 A. They are averaged out of the database which

17 could be one or the other. It is basically, I guess the

18 best characterization is to say that that is time

19 averaged information.

20 Q. As opposed to flow weighted?

21 A. Yes, and the distinction in most instances in

22 this table is not existent because a large number of

23 these are steady flow systems for which there is no

24 difference between a flow weighted average and a time

25 average.

 

201

1 Q. Does the database contain independent

2 measurements of flow in and flow out?

3 A. In those cases in which that information was

4 available, yes.

5 Q. If that wasn't available, does anything else

6 appear?

7 A. Well, there are three columns for flows

8 associated with a given cell, flow in and flow out and

9 an average flow. There are also columns pertaining to

10 rainfall and evaporation but as far as I can recall

11 those are nearly always empty in the database because

12 those are not generally estimated or measured for these

13 sites.

14 Q. In the column marked cell and with reference

15 to the Cobalt, for instance, and the Brookhaven, there

16 are Ts next to the numbers. What do the Ts represent?

17 A. Backing up a little bit remembering that at

18 each site there may be different systems. A system is

19 an independent flow path. Then that system may have

20 different cells. Now, in the case of a site that has a

21 system with one cell, rather than having a number, no

22 one would number it cell one if they only had one cell

23 at the site so our designation there would be T or one T

24 or T colon one depending on who entered the information

25 into the database and when they were entering it.

 

202

1 Q. And what does T stand for?

2 A. There is a total of one cell in the system.

3 Q. These TP k values that appear here in the TP

4 k value summary chart, were they calculated based on

5 water quality data or soil data or both?

6 A. This table refers to water.

7 Q. If you had soils data for these systems,

8 would you expect the TP k value calculated for the soils

9 to be similar to that calculated for water?

10 MR. LIPSHULTZ: What type of soils

11 are you referring to, phosphorus?

12 MR. BURGESS: No, soils at the

13 site.

14 MR. LIPSHULTZ: What type of soils

15 data do you mean then? What type of data? Just object

16 to the form.

17 A. I don't understand the question. The table

18 in question deals with water in and water out and a

19 first order aerial settling rate constant.

20 Q. (BY MR. BURGESS): Can you calculate a first

21 order aerial settling rate constant based on soils data?

22 A. Yes.

23 Q. And if you were to calculate such a value for

24 the systems in the TP k value summary chart, would you

25 expect those values to be similar to the TP k values

 

203

1 calculated based upon water data?

2 MR. LIPSHULTZ: Objection, calls for

3 speculation.

4 A. Well, I can say this, that in theory the

5 phosphorus that disappears from the water column should

6 show up in the soil so given the, in the long term and

7 so for these long-term settling rate constants if one

8 had comparable data quality subject to the error

9 analysis and the mass balances, in theory you can, can

10 do exactly that.

11 Q. (BY MR. BURGESS): You would expect exactly

12 that?

13 A. If the data quality for the soil information

14 was comparable to the data quality for the water

15 information, I would expect to be able to use the soil

16 mass balance to estimate the rate constant with equal

17 confidence to using the water information to estimate

18 the settling rate constant.

19 Q. And would you anticipate or expect the

20 settling rate constants to be similar?

21 MR. LIPSHULTZ: Objection, again

22 calls for speculation.

23 A. I think I indicated in my previous answer

24 that the answer is basically yes, based on equivalent

25 data quality in the data sets.

 

204

1 Q. (BY MR. BURGESS): To go back to your

2 definition of long term. In each instance your

3 definition of long term would exclude a start-up period,

4 is that correct?

5 A. Yes.

6 Q. If you included the start-up period, would

7 your k values be higher?

8 A. Not necessarily.

9 Q. Why not?

10 A. Well, because I know of instances in this

11 table where the initial k values were very much lower

12 than the long term as well as instances where they were

13 very much higher.

14 Q. In this table here?

15 A. Well, I refer to the table. What I really

16 meant to say was for those systems that are in the

17 table, there are instances, examples of both types of

18 behavior, low values to start with and high values to

19 start with.

20 Q. Can you tell me which one had low values to

21 start with?

22 A. I can tell you some. The system at Houghton

23 Lake, Michigan, which has a long-term settling rate of

24 approximately eleven began with what I would call an

25 uptake constant because it's characteristic of the

 

205

1 start-up period of I believe close to a hundred. An

2 example in the other direction would be Iron Bridge in

3 which if you look at the first month of operation, there

4 was a phosphorus release and so there was a negative

5 uptake constant although the long-term value over the

6 last three years is a little over thirteen, about

7 thirteen and a half, so there are instances of both

8 types of behavior depending on the original state of the

9 piece of real estate.

10 Q. In instances where, with respect to this

11 table where you did not include a start-up period, if

12 you had included that start-up period, would your TP k

13 value in each instance be higher?

14 MR. LIPSHULTZ: Object to form.

15 A. Well, I think I've just answered that

16 question.

17 Q. (BY MR. BURGESS): Let me -- first of all, my

18 confusion is you pointed out for Iron Bridge, I'm sorry,

19 was it Boney Marsh or Iron Bridge that you had one

20 month?

21 A. Iron Bridge is the one I referred to.

22 Q. Was the one month the entirety of the

23 start-up period for Iron Bridge?

24 A. It was not. It was nine quarters as we

25 discussed yesterday.

 

206

1 Q. But then for all nine quarters?

2 A. No. I can perhaps best answer the question

3 by referring to Exhibit 8 and in Exhibit 8 in figure

4 four five I have calculated monthly uptake coefficients

5 spanning the first fifty some odd months of operation

6 and --

7 Q. I'm sorry, you said table four five?

8 A. Table four dash five on page four dash nine

9 and what is seen in that figure is the very first point,

10 as I just mentioned to you, for Iron Bridge had actually

11 a negative uptake constant, then through the course of

12 the first year or show the uptake constant increased

13 from a negative value up to a high of thirty-five at

14 which point the operators and engineers were quite

15 optimistic about the capability of the system. It then

16 fell over the next year to a value in a band in this

17 figure of say ten fifteen, thereabouts, and when that's

18 extended out for the next two years data, that's the

19 figure thirteen five as a mean for the period past the

20 first two years. So even for one system as it started

21 up there were values both higher and lower than the

22 long-term average.

23 Q. For Iron Bridge, you testified yesterday,

24 excluded nine quarters, is that correct?

25 A. That's correct.

 

207

1 Q. With reference to that chart, figure four

2 dash five you were speaking to, can you tell me where on

3 the months access you would have cut off the start-up

4 period?

5 A. Yes. Give me just a moment. Graph starts on

6 6-1-87 and the last quarter of '87 then would end on

7 nine and then nine plus an additional forty-eight months

8 would be, no, excuse me, plus an additional twenty-four

9 months would be thirty-three so I would have identified

10 the beginning of what I call the long-term period

11 starting at month thirty-three in that diagram.

12 Q. Under your definition of long-term ke which I

13 believe you said was a ke based on data past the

14 start-up period, does this mean that a ke based on two

15 quarters after start-up is a long-term ke and comparable

16 to a ke based on forty quarters after start-up?

17 MR. LIPSHULTZ: Object to form.

18 MR. BURGESS: What is wrong with the

19 question?

20 MR. LIPSHULTZ: I think it's more

21 than one question and I think it mischaracterizes his

22 testimony.

23 Q. (BY MR. BURGESS): Does it mischaracterize

24 your testimony?

25 A. I'm sorry. Repeat the question, please.

 

208

1 Q. Why don't you repeat your definition for

2 long-term ke.

3 A. Ke is an aerial, first quarter aerial uptake

4 coefficient computed from data past the start-up

5 period. Now, as I understand your question, is there a

6 difference between a number computed from say one

7 quarter of data past start-up or a ke calculated from

8 say twenty quarters of data past start-up. Since we're

9 dealing with systems that have some stochastic behavior,

10 the one quarter number would be extracted from the same

11 population of k values as the twenty values that were

12 computed from quarterly data would be so it should

13 represent same population but within the uncertainty,

14 no, I shouldn't say uncertainty, within the variability

15 band of quarterly behavior could be higher or lower than

16 an average determined from twenty quarters.

17 Q. I'm sorry. You said that if you had one

18 quarter's worth of data, it would be taken from the same

19 population?

20 A. Well, in statistical sense. What I'm trying

21 to -- let me try to answer the question in a different

22 way. The confidence interval for a number determined

23 from one quarter's data is obviously wider from a number

24 computed from twenty quarters of data.

25 Q. You said obviously wider?

 

209

1 A. Yes. If I have twenty values, twenty

2 measurements, I would expect to have a narrower

3 confidence interval in the k value so determined but in

4 the absence of any prejudicial information, the one

5 quarter sample has as much chance of being high as it

6 has of being low compared to the twenty quarter

7 measurement that might be made.

8 Q. And would you have the same degree of

9 confidence in both values?

10 A. No, I've just stated the opposite, that the

11 confidence interval for the one quarter of information

12 would be in my estimation wider than it would be for a

13 system that had twenty quarters of information.

14 Q. Have you calculated confidence intervals for

15 your TP k values in Exhibit 15?

16 A. No.

17 Q. For any of those sites?

18 A. No. I have indicated in table PK sum. rather

19 a standard deviation across the quarterly values.

20 Q. Why is there no standard deviation for the

21 Jackson Bottoms site?

22 A. I probably made that decision based on the

23 fact that there are two quarters of information which

24 then suggest that I ought to be consistent and for a

25 system like Fontanges I should not list one either. Two

 

210

1 quarters of information is really a marginal amount of

2 information from which to compute a standard deviation.

3 Q. Is it also in your opinion a marginal amount

4 of information from which to compute a TP k value?

5 A. In the context of the answer to your earlier

6 question, it's just as valid a number as one derived

7 from a larger data set. It just has a larger confidence

8 interval or standard deviation associated with it.

9 Q. Can we go through the list in Exhibit 15 and

10 will you tell me for each of those wetlands whether they

11 are constructed on peat base soil or mineral soil?

12 A. Insofar as I am aware of that information I

13 will try and do some. Starting with Des Plaines, it

14 varies from cell to cell and I can't quote you the

15 percentage organic matter although the data exists on

16 the soils of system three, four, five, and six at Des

17 Plaines. In general terms system three was, had some

18 preexisting wetland soils.

19 I think historically that particular

20 portion of the site had been a wetland before it was a

21 Christmas tree farm so when we reconstructed the

22 wetland, there were organic soils there, and in contrast

23 system six was primarily on sandy soils and without

24 going back to soils information from our project files I

25 cannot do better than that, so Des Plaines basically

 

211

1 soils were partly mineral in character at some

2 locations, partly organic in character at other

3 locations, and would be best characterized as land use

4 as in agriculture prior to the construction of the

5 wetlands. Some wetland remnants were present.

6 Q. What type of agriculture?

7 A. As I indicated it was some, I believe they

8 had hay fields there, some forage crops, and there was

9 still remnants of an old Christmas tree farm at the

10 site.

11 Q. Does the soils data exist in the NADB?

12 A. I have to test my memory on this. Very

13 limited and I believe in most instances it was

14 unavailable.

15 Q. Would you characterize Des Plaines as a

16 Histosol soil area?

17 A. There -- well, I'm not, I'm not conversant in

18 the various soil classifications. There is a study of

19 the soil at that site and their alteration from, or

20 their original state to the wetland soils that now exist

21 there. There is such a study. I'm not prepared at this

22 time to quote the results of that study.

23 Q. Who did the study, do you know?

24 A. It's been done and is in progress, I believe,

25 under Doctor Richardson.

 

212

1 Q. Which Doctor Richardson?

2 A. I think his first name is James and he's from

3 North Dakota, I believe.

4 Q. Do you know whether the agricultural land

5 uses at Des Plaines involved the use of fertilizer?

6 A. Within the recent past I would think not. I

7 would be, I'm acquainted with the site from a time

8 period ranging from about 1985 when I first started

9 visiting the site and what I was looking at were fallow

10 fields and remnant Christmas tree farm so I would think

11 fertilizer applications, if any, were in the past some

12 decade or more.

13 Q. And how would you characterize the soil at

14 Jackson Bottoms?

15 A. Jackson Bottoms, there is also a soil report

16 that exists for Jackson Bottoms. There are a variety of

17 different soils that existed there. I certainly can't

18 quote all of them. I know that there was variability in

19 type. I know that there was one which was a clay, I

20 believe, or clay loam, I think it was Wapato, but there

21 were a variety of other soil types as well associated

22 with those seventeen cells.

23 Q. Do you know what the primary --

24 A. Excuse me. I'm sorry.

25 Q. Do you know what the primary soil type was

 

213

1 for the seventeen cells?

2 A. There were two primary and one of them was

3 the Wapato and I can't remember the other.

4 Q. How would I go about getting a copy of the

5 soil report?

6 A. I believe you would contact Mr. Stan Gieger

7 whose address we discussed yesterday.

8 Q. Lakeland, Florida, what is the soil?

9 A. Lakeland is built in old phosphate mine pits

10 and I don't know, I guess you would characterize the

11 soils as phosphate slimes.

12 Q. Pembroke?

13 A. Pembroke was an agricultural field I think

14 for fodder crops. However, in construction it was cut

15 through the top soil and I believe down to some clays.

16 I remember slipping and sliding on red clay.

17 Q. Great Meadows?

18 A. Great Meadows, organic based system. That

19 was, I believe, an existing wetland and after seventy

20 years what the original soils were I don't think anybody

21 knows.

22 Q. Fontanges?

23 A. Fontanges is a northern sphagnum peat land.

24 Q. Houghton Lake?

25 A. Peat land.

 

214

1 Q. Cobalt?

2 A. I believe mineral soils but I'm not sure that

3 Gordon Miller reported what they cut down to when they

4 built that wetland.

5 Q. Brookhaven?

6 A. Again, I don't think Max Small reported what

7 he cut down to when he built that wetland. I would

8 presume mineral soils.

9 Q. Leaf River?

10 A. Unknown to me.

11 Q. Clermont?

12 A. I can't recall as I sit here. It would be in

13 the reports from the project.

14 Q. Would Leaf River's, also?

15 A. I'm not sure what reports exist on Leaf

16 River. It is my recollection that that's an industrial

17 project and I'm not sure about the availability or

18 existence of reports. One of my colleagues entered that

19 into the database.

20 Q. Sea Pines?

21 A. Sea Pines is a wetland, a natural wetland.

22 It was located between old beach ridges on Hilton Head

23 Island and it has I think combination soils. I think

24 there's some sandy mineral soils but there are also

25 areas of organic deposits in that wetland.

 

215

1 Q. Benton?

2 A. Benton, Kentucky, I do know was cut into

3 clay, very dense, impermeable clay.

4 Q. Listowel?

5 A. Listowel had a preprepared soil placed in the

6 constructed wetlands and it was a blend by recipe but I

7 can't recall without looking at the report, that was

8 partly mineral and partly organic in nature, preprepared

9 soil.

10 Q. Iron Bridge?

11 A. Iron Bridge, again, I don't, I can't recall

12 the exact soil information that exists. I think it

13 basically was on mineral soils.

14 Q. Boney Marsh?

15 A. Just by accident I had read a little piece of

16 one of those reports again just a few days ago and the

17 soils there are interspersed sands and organic deposits

18 associated with the old river flood events presumably.

19 Q. 2A?

20 A. Peat land.

21 Q. Orange county?

22 A. Orange county is a sequence. The first unit,

23 however, was, I believe, mostly mineral soils and that's

24 the portion of it that was analyzed here.

25 Q. And Humboldt?

 

216

1 A. Humboldt was basically mineral soils, I

2 believe, and so was Tarrant county.

3 Q. In your opinion does the type of soils make a

4 difference to the, in the TP k values?

5 A. It's my opinion that it makes very small

6 differences --

7 Q. And what -- I'm sorry.

8 A. -- if any.

9 Q. And what is the basis for that opinion?

10 A. The basis for that opinion is that this table

11 that we've just gone through, we have seen a wide

12 variety of preproject soil types. We see some

13 variability in the TP k values in the long term for

14 those sites leading me to think that perhaps some small

15 part of variability may be due to those original soils.

16 The larger part of my opinion is

17 based on the fact that wetland soils develop rapidly in

18 response to constructing a wetland and then after the

19 start-up period the absorption capacity of those

20 original soils is probably equilibrated that the contact

21 zone has, the first layer of soil in the wetland has

22 been built by the wetland itself so that the, all these

23 factors taken together lead me to believe that the

24 original soil type is not a major factor in determining

25 the TP k value.

 

217

1 Q. You said that there were a wide variety of

2 soil types represented by these sites. Isn't there also

3 a wide variety of TP k values ranging from one to over

4 thirty-seven?

5 A. That's correct.

6 Q. You consider the standard deviation of seven

7 point seven with a global mean of eleven point six to be

8 wide variety, or I'm sorry, wide variability?

9 A. In the context of the number of different

10 factors that could have affected that TP k value, I find

11 it remarkably narrow range.

12 Q. I'm sorry, you said given the --

13 A. Yes, for instance, we have systems that

14 started as peat land, systems that started on mineral

15 soil, systems from the far north and Quebec, systems to

16 Florida, different meteorological conditions, different

17 vegetation types, and in calculating anything from that

18 wide variety of sites and finding a standard deviation

19 that is on the order of fifty percent or sixty percent

20 of the mean to me is a surprisingly narrow range given

21 all those different factors.

22 Q. If you could turn to in Exhibit 15 it is mass

23 balance design model, MB page twelve, it is on the top.

24 A. I'm sorry.

25 Q. Midway.

 

218

1 A. MB page twelve.

2 Q. Under emergent marshes, third sentence, given

3 the large number of significant differences in site

4 specific factors, it is perhaps surprising that this

5 band is not larger. Is this what you were just speaking

6 about?

7 A. I think I said the same thing, yes.

8 Q. What type of differences exist in site, well,

9 let's start with this, what site specific factors are

10 you referring to?

11 A. I think in the question before last, I just

12 listed them.

13 Q. Can you do that again?

14 A. Yes. There are differences in climate, there

15 are differences which reflect differences in

16 geographical location, there are differences in

17 vegetation type, there are differences in the

18 preexisting soil conditions, differences in the

19 concentration level of phosphorus that's entering these

20 systems, differences in the hydraulic loading rates to

21 the systems. I think those, that's a good list of the

22 extremely important variables that go into that

23 statement.

24 Q. And those are variables which would cause

25 variability in the ke rates or TP k rates for emergent

 

219

1 marsh system?

2 A. I think in the absence of data such as we're

3 looking at from the database and other sources, I think

4 it would be a logical, preconceived notion that all of

5 those things would lead to a very wide distribution of k

6 values.

7 Q. Let me ask you with respect to those

8 factors. For purposes of contrasting WCA2A and the

9 proposed STAs, assume we expect the climate to be the

10 same or similar?

11 A. Yes.

12 Q. Geographic location?

13 A. Excuse me. You want to compare STAs and 2A,

14 was that the premise of the question?

15 Q. I think you had, I had asked you to list for

16 emergent marshes what site specific factors might lead

17 to variability in TP k rates.

18 A. Yes.

19 Q. And what I would like to do is review those

20 factors for 2A, WCA2A in emergent marsh wetland and the

21 STAs. So, you would expect the climate to be similar?

22 A. Similar to what?

23 Q. Each other, for 2A and the STAs?

24 A. Oh, and the STAs.

25 Q. Geographic location.

 

220

1 A. I thought that's what you meant. Geographic

2 location would be similar.

3 Q. Vegetation?

4 A. Vegetation type I would anticipate after

5 start-up would be similar.

6 Q. And what is the vegetation type?

7 A. It is currently a cattail system in 2A.

8 Q. Preexisting soil conditions?

9 A. Would be variable in the STAs, as I

10 understand it, because the locations which I have seen

11 discussed possess some differences from 2A. One is the

12 preexisting agricultural use and secondly there may be

13 differences in the character of the soils as well.

14 Q. What documents are you relying on for your

15 information in preexisting use and differences in soil

16 character?

17 A. Well, I don't know that I characterize it as

18 a document. I think it's more like common knowledge

19 that the locations that are being discussed have been in

20 agriculture. I assume there is a document somewhere

21 that shows land use patterns but I've driven through the

22 area in the sugar cane fields there and saw farms there

23 now.

24 Q. Do you have any data on the antecedent

25 conditions vis-a-vis phosphorus and those soils and the

 

221

1 proposed STAs?

2 A. I believe I have some documents that contain

3 information on the STA which is now known as the ENR

4 project.

5 Q. Any other?

6 A. I don't own any studies of preexisting soil

7 conditions at what I believe to be the most recent

8 positioning of the STAs.

9 Q. Do you anticipate testifying that antecedent

10 soil conditions play a role in TP k value calculation?

11 A. I would anticipate that I may offer testimony

12 that it is not in my mind an important factor in

13 performance of STAs.

14 Q. And what would be the basis for that opinion?

15 A. The basis for that opinion is the exercise we

16 just went through in which we went through all of those

17 systems that have different antecedent soil conditions

18 and yet no great differences that one can attribute to

19 that variable.

20 Q. So then NADB would be the basis for that

21 opinion?

22 A. Plus those other systems that we've indicated

23 that I have in the table in Exhibit 15 that did not come

24 from the NADB.

25 Q. Iron Bridge, Boney Marsh, 2A, and Humboldt?

 

222

1 MR. LIPSHULTZ: Is that a question?

2 MR. BURGESS: Yes.

3 Q. (BY MR. BURGESS): What systems you indicated

4 didn't come from NADB?

5 A. We went through that yesterday.

6 Q. I know. I want the record to be clear,

7 though.

8 MR. LIPSHULTZ: What document are

9 you referring to?

10 A. I lost my table.

11 Q. (BY MR. BURGESS): Exhibit 15.

12 A. Here we go. The ones that are not in the

13 database in this table are Boney Marsh, 2A, Humboldt,

14 and Tarrant County.

15 Q. Thank you. Going back to those list of

16 factors that you gave me, I think the next one you gave

17 me was concentration level of phosphorus, its inflow

18 concentration?

19 A. That's correct.

20 Q. And your TP k summary chart shows for WCA2A a

21 point one two two milligrams per liter inflow

22 concentration over the period of record, is that

23 correct?

24 A. That's correct.

25 Q. What would you expect that to be for the

 

223

1 STAs?

2 A. Similar to that one.

3 Q. Lower, higher?

4 A. Well, I think that depends on the success of

5 the BMPs that are put in place. The number over that

6 period of record also fluctuated from year to year

7 depending on agricultural practices and other factors so

8 I would anticipate that it would be approximately the

9 same order of magnitude. In other words, we are talking

10 about something on the order of a hundred fifty parts

11 per billion that would be coming into the STAs and I

12 don't intend that to be a precise number. That is an

13 order of magnitude.

14 Q. Hydraulic loading rate for 2A is listed here

15 as point nine three centimeters per day, is that

16 correct?

17 A. That's what's in the table, yes.

18 Q. And what would you expect the hydraulic

19 loading rate to be for the STAs?

20 A. As they're currently configured it's somewhat

21 higher than that. I think it's around two centimeters a

22 day.

23 Q. In your opinion does the fact that the

24 hydraulic loading rate for the STAs is two centimeters a

25 day and that for 2A is point nine three centimeters a

 

224

1 day have any effect on the transferability of the ten

2 point two settling rate to, as a design criteria for the

3 STAs?

4 A. No, because the model that's being used takes

5 into account the hydraulic loading rate as one of the

6 variables in the equation.

7 Q. What area is the point nine three hydraulic

8 loading rate for 2A based upon?

9 A. I would have to go back and look at Doctor

10 Walker's document.

11 Q. Are you speaking of his March, '93 paper?

12 A. Yes, it should be in that paper, I believe.

13 Q. Yesterday we talked, or you spoke in terms of

14 a ten kilometer by ten kilometer area, is that the area

15 you would be looking for?

16 A. It would be the area that he used in the

17 inland zone 2A that I would be looking for. That would

18 be the area associated with the point nine three.

19 Q. With respect to vegetation, you said that

20 after start-up you would expect it to be similar. How

21 long are you anticipating start-up to be for the STAs?

22 A. Well, the experience from other systems

23 around the country appears to indicate that a time

24 period on the order of one to two years in warm climates

25 and perhaps a little longer in colder climates is

 

225

1 necessary for complete vegetative replacement or fill

2 in, depending on whether it was planted or not to begin

3 with.

4 Q. Are the STAs going to be planted?

5 A. That is a question that to the best of my

6 knowledge has not been finally resolved.

7 Q. But there are some documents that may speak

8 to that that you have not reviewed?

9 A. There are no documents that speak to that

10 that I have seen since the time of my last deposition.

11 I'm not sure I own any documents on that subject

12 although it certainly has been discussed.

13 Q. If they are planted, is the start-up period

14 longer or shorter?

15 A. Well, based on our most recent information

16 from Tarrant county it doesn't appear to matter.

17 Q. Your testimony regarding the one to two years

18 in warmer climates and longer in colder climates, is

19 that based upon the TP k value summary tables in Exhibit

20 15?

21 A. No, because as we discussed, the TP k summary

22 values are wherever I could establish the start-up

23 period and are not based on the start-up period.

24 Q. What is, what are the source documents for

25 your opinion testimony that the start-up periods appear

 

226

1 to be one to two years in warmer climates and longer in

2 colder climates?

3 A. Well, one of them would be Exhibit 8 in which

4 we have the information on the start-up period for Iron

5 Bridges documented in there. Other materials that I

6 have provided show the start-up for the Houghton Lake

7 system. There are also materials that show the start-up

8 period, I believe, for the Listowel system. Information

9 from District documents allows one to infer the time

10 period for start-up for Boney Marsh so there is a large

11 number of supporting documents that contain that

12 information.

13 Q. Do you -- I'm sorry. Do you anticipate

14 offering opinion testimony at the hearing as to what the

15 likely start-up period for the STAs will be?

16 A. I would imagine I could offer such testimony,

17 yes.

18 Q. And so that we are consistent, what is meant

19 by start-up period?

20 A. The start-up period is the period during

21 which the ecosystem is rearranging itself into that

22 state which produces the long-term settling rate

23 constant.

24 Q. And what would your opinion testimony on this

25 subject be or on the subject of how long the start-up

 

227

1 period for the STAs is likely to be?

2 A. Since these are situated in a warmer climate,

3 I would imagine that that start-up period would be on

4 the order of one to two years.

5 Q. And would that be based on data from Iron

6 Bridge, Houghton Lake, Listowel, and Boney Marsh?

7 A. Well, because of the climatological

8 considerations, I think that would be based primarily on

9 Boney Marsh and Iron Bridge, to a certain extent on the

10 information from Lakeland.

11 Q. And that information on those three systems

12 would be in Exhibit 8 and where else?

13 A. I think I indicated that Boney Marsh is in

14 District documents.

15 Q. Do you know what District documents that

16 would be?

17 A. Yes. It's, the information I have in mind is

18 in the District report authored by Steve Davis that we

19 discussed yesterday. I'm sorry. I also alluded to

20 Lakeland. That information is contained in the

21 operating information that, from the site and that, of

22 course, has been transferred over to the database. Did

23 I cover -- I think I got them.

24 MR. BURGESS: Do you want to take a

25 break?

 

228

1 MR. LIPSHULTZ: Yes.

2 (Recess).

3 Q. (BY MR. BURGESS): Doctor Kadlec, going back

4 to Exhibit 15, TP k value summary table, for those

5 systems which you identified as transect systems which I

6 believe was Houghton Lake, Orange county, 2A, and

7 Humboldt, I would like you to tell me how you determined

8 where to end your data collection on your transect for

9 purposes of using the data points in calculation of the

10 phosphorus in?

11 A. I think the first on the list, in the table

12 is Houghton Lake. The transects in that case carried

13 out to a line which is approximately eight hundred

14 meters from the discharge. That line is also a line of

15 sample stations that are used as a, I guess I could best

16 characterize it as just an early warning set of sample

17 stations for determining not compliance but to give an

18 indication of what's going on. They are regulatory

19 points, although the compliance point is quite a lot

20 further as I indicated yesterday.

21 So, the transects end at the,

22 basically end at the eight hundred meter distance for

23 purposes of analysis.

24 Q. And is that because the stations that are

25 there, those regulatory points, are in compliance?

 

229

1 A. Those points are all within compliance. When

2 field expeditions are run, typically the transects are

3 run out to that point which is a background peat land or

4 close to background peat land location. It is not quite

5 background any longer. It is a matter of field

6 practicality and the fact that we are below the

7 compliance levels at that location.

8 Q. Is that, those are the determining factors?

9 A. That together with the difficulty of

10 traveling by foot in a large peat land.

11 Q. I believe next was 2A.

12 A. 2A, the information in the table is, referred

13 to Doctor Walker's work and it's my understanding in

14 rough terms that the criteria that Doctor Walker used

15 are in his paper, I believe, and he basically was going

16 out to a limit that was somewhat below the intended

17 design level for the STAs. I would, you would have to

18 ask Doctor Walker for what his reason was for picking

19 the end of the transect.

20 Q. Did you concur in his decision?

21 A. Yes. I felt that it was reasonable because

22 he had gone to the fifty part per billion level in terms

23 of the historical water level concentrations, water

24 concentrations, and beyond, I believe, somewhat. So, it

25 was an appropriate zone for which to extract a k value

 

230

1 for design.

2 Q. Can you calculate from the hydraulic loading

3 rate for 2A what is listed there as point nine three,

4 can you calculate the area?

5 A. Not from that number alone.

6 Q. What else do you need?

7 A. I would need the accompanying flow rate.

8 Q. Have you ever done it?

9 A. No, not in that direction. What I have done,

10 and it's quite sometime ago, is to look at a preliminary

11 data set that I believe has been superseded by corrected

12 and more modern information and divided that flow rate

13 by various areas. At one time I think I probably looked

14 at the loading rate on the entirety of 2A, at other

15 times I looked at the loading rate based on an area used

16 by Burns and McDonald in one of their early documents.

17 It is a very simple relation that flow rate divided by

18 the area chosen by the person doing the calculation.

19 Q. Orange county, no, I'm sorry, is that next?

20 A. Orange county. We discussed that one

21 yesterday.

22 Q. That is the transect and the forested?

23 A. That's right. That is the system that's

24 somewhat confused so the transect information that I

25 used ran from the inlet point to the first intermediate

 

231

1 structure and the end of that transect, however,

2 although points are on the graph, is in a forested

3 system so to that extent although they happen to fall on

4 the same line as the emergent marsh front end portion

5 could, I suppose, be excluded if one wanted to, and I

6 think the last one you mentioned in your question was

7 Humboldt and that is the batch system and in that case I

8 used a criteria since some of those batches ran for very

9 long times, I used a criteria of approximately ninety

10 percent of the change as the criteria for the ending

11 time value which is, which corresponds to the ending

12 transect value because in general we're talking about

13 something on the order of sixty to eighty percent

14 reduction in phosphorus so in the case of that data I

15 terminated at about, somewhere around eighty to ninety

16 percent reduction of the change that was going to occur.

17 Q. I remember we discussed Humboldt yesterday,

18 where you filled it to a level and then there was no

19 inflow or outflow?

20 A. Correct.

21 Q. So, I'm sorry, how would you, was there a

22 transect?

23 A. There was not a transect. In this case the

24 equivalent of distance from the point of inflow becomes

25 time since the beginning of the batch experiment.

 

232

1 Q. In Exhibit 15, if you can turn to, it is

2 listed on the top input/output correlations, I/O page

3 six, it is in the front twenty-five percent of the

4 paper, and then turn two pages further. What is that

5 graph?

6 A. It's a graph of the outlet phosphorus

7 concentration verses the inlet phosphorus concentration

8 for quarterly data from forty-nine wetland cells.

9 Q. Why did you prepare that? What is the

10 significance of it?

11 A. Well, an alternative to the spacial model

12 that's being used, the first order aerial model, an

13 alternative to that is to use a strictly regression

14 correlation representation of the data from the systems

15 in the database so this section of the chapter addresses

16 attempts to display regressions of the information in

17 the database rather than mass balance aerial uptake

18 models and this graph is one scatter plot with the

19 associated regression line just on input and output

20 concentrations.

21 Q. And your opinion is a valid alternative?

22 A. This particular correlation is not to be

23 preferred for design because it's simply, it does not

24 contain the appropriate spacial factor that allows it to

25 be used in a system which is clearly a spacially

 

233

1 dependent system.

2 Q. Well, what factor is that?

3 A. The hydraulic loading rate would have to be

4 included or some other variable that was responsive to

5 the distance aspects of these systems which I also

6 provided in that same document.

7 Q. When I add up the cells and data quarters

8 that are present in the PK sum. table, I get fifty-four

9 and four hundred fifty-seven and this chart has

10 forty-nine and three hundred seventy-three.

11 A. That's correct, this is a draft document.

12 Pieces of this were done at different times and

13 therefore there would not necessarily be a one-to-one

14 correspondence.

15 Q. This is not necessarily a subset?

16 A. It is in the sense that the information I

17 think in this particular section of this chapter was

18 brought from the North American Database and did not

19 include some of the information in the table which was

20 drawn from nondatabase systems. There are some systems

21 that were used in the table that are not in databases

22 we've discussed so those were not included in this

23 regression.

24 Q. Have you ever plotted this regression with

25 the entirety of the PK sum. table?

 

234

1 A. No, I have not.

2 Q. Would you anticipate doing that for final

3 chapter of the book or would you perhaps like or would

4 these graphs likely stay the same?

5 A. I may but I really don't think so.

6 Q. Why not?

7 A. Well, the use that I would envision for the

8 correlation that we're discussing here since it

9 basically, it basically says that since the outlet

10 concentration is thirty-four point three four times

11 inlet concentration to the point nine six power, it

12 basically says that wetlands, if you just regress inlet

13 and outlet, have a tendency to get about two thirds

14 reduction in phosphorus and I think that that's about

15 the only message that one should draw from that so in

16 context of this chapter immediately go on in the next

17 section to recommend the first order aerial uptake model

18 as the preferred alternative.

19 MR. BURGESS: Will you mark that?

20 DEPOSITION EXHIBIT 16

21 WAS MARKED BY THE REPORTER

22 FOR IDENTIFICATION.

23 Q. (BY MR. BURGESS): I will show you what's

24 been marked as Petitioner's 16 and ask you if you can

25 identify that for the record?

 

235

1 A. Yes. It appears to be a three page FAX

2 communication from Doctor Walker.

3 Q. And what was the purpose of the

4 communication?

5 A. I honestly can't recall. Clearly we're

6 exchanging information on correlation of the performance

7 of wetland systems and this particular communication is

8 a regression of a slightly different sort on essentially

9 the same data set with different variables involved. In

10 this case it's the phosphorus out verses the inlet

11 loading.

12 MR. PERKO: Just so I can follow

13 along, what is the date of this FAX?

14 THE WITNESS: January 27th, 1994.

15 MR. PERKO: Thank you.

16 A. I also see from the subject here that that

17 was transmitted to Doctor Walker in connection with a

18 review of a draft paper authored by Qian and Reckhow.

19 That's what it says on the subject.

20 Q. (BY MR. BURGESS): Have you reviewed the Qian

21 and Reckhow paper?

22 A. Yes, I have.

23 Q. Have you provided written comment on that

24 paper?

25 A. Insofar as they exist, I'm trying to think if

 

236

1 they exist and I believe there may be one page of

2 written comments on that, yes, and I have provided it to

3 my counsel.

4 Q. What is the difference between the graph in

5 Exhibit 16 and the graph in Exhibit 15?

6 A. The independent variable and the regression

7 in Exhibit 16 is the inlet phosphorus loading rate, not

8 the inlet phosphorus concentration.

9 Q. Have you calculated the inlet phosphorus

10 loading rate for WCA2A?

11 A. If I did so, it's a long time ago.

12 Q. Would the inlet phosphorus loading rate for

13 2A be one of the dots on this graph?

14 A. It could conceivably be. I rather think not,

15 though, because WCA2A is not an entry in the database

16 for which quarterly data have been entered and so I

17 don't think it would be a dot on this graph so I don't

18 believe it's included in here, to the best of my

19 recollection.

20 Q. And why wouldn't it be?

21 A. Because the information supporting these

22 graphs is taken from the North American Database and

23 this is not a system that's been entered.

24 Q. Have you calculated a flowing rate for the

25 STA in grams per meter square per year?

 

237

1 A. I have done so historically at some times,

2 yes.

3 Q. Where would we find that?

4 A. Well, for instance, in Exhibit 8, it will

5 take me a minute to find this. I believe it's in here.

6 Yes. For instance, this appears in, I think here and in

7 other places as well but on Exhibit 8 on page three dash

8 two, just as an example, in the line below equation

9 three dash one contains a statement, says the projected

10 loading rate for the combined STAs is one point one six

11 grams per meter square per year and I would point out

12 that that number is contingent on forecasts of

13 phosphorus and water flows that have changed from time

14 to time through this proceeding and so this has to be

15 associated with a point in time dated about July, 1992.

16 Q. Do you have any later estimates of the

17 loading rate for the STA?

18 A. I have not personally done such formulations

19 or calculations, no.

20 Q. What is the loading rate dependent upon?

21 A. The incoming flow rate of water, the incoming

22 concentration of phosphorus in that water, and the area

23 to which that area is being applied.

24 Q. With respect to having, with respect to 2A,

25 you said that a long time ago maybe you had calculated

 

238

1 it, a loading rate. Do you recall what area you used

2 for purposes of calculating a loading rate?

3 A. Well, I honestly cannot recall but I would

4 have done perhaps two different things. I would have

5 attributed a loading rate to the entire area of 2A to

6 get some concept of the loading over the entire water

7 conservation area and I would think that sometime I

8 would have also used either Burns and McDonald or Walker

9 definition of an inlet zone area and computed that as

10 well but I could not point to that as I sit here today.

11 Q. Is this graph in Exhibit 16, is this also an

12 alternative to the mass balance aerial uptake model in

13 your mind, in your opinion?

14 A. This as a regression approach in my view

15 since it fails to embody the water budget for the

16 wetland is not as good an approach as using the first

17 order aerial uptake constant in conjunction with water

18 budgets and phosphorus budgets.

19 Q. So, what is it you would need to, in order to

20 give you some comfort level, a water budget for these

21 wetlands?

22 A. I'm not sure I understand the question. A

23 comfort level with these wetlands does not ring a bell

24 with me.

25 Q. What's the, this regression approach is not

 

239

1 appropriate for design, is that your opinion?

2 A. Well, I would answer it this way. If there

3 were no better alternative, I think, and there has not

4 been in early history of this technology, that this

5 approach has sometimes been relied on in the past but at

6 the moment if as we now can do, if we can use

7 conservation of mass of the water being added into the

8 system plus conservation of mass of the phosphorus being

9 added to the system and calibrate a model that

10 acknowledges both of those, we have a much more powerful

11 design tool than our regression line.

12 Q. Can you use this as a check on what you

13 received from your mass balance model?

14 A. One could use this tool to form a second

15 estimate of a required area and by this tool I'm

16 referring to the figure in Exhibit 16. That can also be

17 used to estimate a treatment area.

18 Q. Do you know if anybody has done that with

19 respect to the STAs?

20 A. I'm trying to think. It's very easy to do.

21 Whether or not I have done it and written it down I

22 don't know but one can take the anticipated inlet

23 phosphorus loading rate as an entry point into this

24 graph and read the exit concentration from a graph. I

25 don't believe I've done that, written it down, but it is

 

240

1 very easy to do.

2 Q. How do you determine the area from that?

3 A. In this case it's not done in that

4 direction. What you can do is take the inlet loading

5 rate such as we alluded to in the earlier document, the

6 1992 version where the loading rate was one point one

7 six grams per meter square and one would enter that on

8 the abscissa of the graph in Exhibit 16, go up to the

9 regression line and read the predicted outlet phosphorus

10 concentration.

11 Q. What is the abscissa and how do you spell it?

12 A. It is the horizontal access on the graph and

13 it is A-B-S-C-I-S-S-A.

14 Q. If you plugged in one point one six to this

15 graph, do you know what it would give you?

16 A. Approximately. I can't read it that

17 accurately without a triangle but it's somewhere around

18 fifty to sixty parts per billion.

19 Q. And if the loading rate were higher than one

20 point one six using this graph, would your TP k outlet

21 concentration be higher than fifty to sixty parts per

22 billion?

23 A. It would.

24 Q. Can one use this graph to conclude that if

25 the hydraulic loading rate, I'm sorry, if the loading

 

241

1 rate to the STAs were higher than one point one six,

2 that based upon data from the North American Database

3 you would expect that the TP concentration out from the

4 STAs would be higher than fifty to sixty parts per

5 billion?

6 MR. LIPSHULTZ: Object to form.

7 MR. BURGESS: What is your

8 objection?

9 MR. LIPSHULTZ: There is a variety

10 of objections. A, it is impossible to understand. B,

11 it is a compound question. C, it is premised on a bunch

12 of assumptions that I'm not sure are in line with the

13 witness' earlier testimony.

14 MR. BURGESS: I think I only asked

15 him to do one thing so I don't think it is compound.

16 MR. LIPSHULTZ: Perhaps you can

17 rephrase the question so that it is clear.

18 Q. (BY MR. BURGESS): Did you understand the

19 question?

20 A. Well, I think I do but I wouldn't mind

21 hearing you rephrase it.

22 Q. I don't want to rephrase it. If you

23 understand it, I think you need to answer it.

24 A. In that case can we have it read back?

25 (The requested portion of

 

242

1 the record was read by the

2 reporter).

3 MR. LIPSHULTZ: Same objection.

4 Q. (BY MR. BURGESS): You still don't understand

5 it?

6 A. I think the correct answer to your question

7 is yes.

8 Q. Thank you. Doctor Kadlec, I'm going to show

9 you what purports to be a paper by William Walker dated

10 March 8, 1993, titled A Mass Balance Model for

11 Estimating Phosphorus Settling Rate in Everglades Water

12 Conservation Area 2A without marking it as an exhibit

13 and just ask you whether you have seen that paper

14 before?

15 A. Just judging from the title page I believe I

16 have.

17 Q. I believe it is, on the top of the second

18 page there is a paragraph that talks about defining the

19 inlet zone area. We've spoken numerous times over the

20 last day and a half about what Doctor Walker used as his

21 inlet zone area for 2A and we have often times referred

22 to a March paper by Doctor Walker. I wanted to see

23 whether that paragraph in that paper is what your

24 understanding is?

25 A. Yes. This is my understanding of the last,

 

243

1 latest, and best dimensions used by Doctor Walker.

2 Q. Do you know whether those dimensions refer

3 to, refer to an impacted area in 2A?

4 A. Not specifically. I can't tell you

5 specifically what's in Doctor Walker's mind but I know,

6 I believe that this is predicated on a width that spans

7 the inlet structures.

8 Q. What's the purpose for defining that area?

9 A. It's to define the area over which the

10 phosphorus and the incoming water has been removed to a

11 level that's as represented by the data at the southern

12 edge of that area.

13 Q. Does the size of that area affect the

14 calculation of ke?

15 A. To a slight extent I believe it does.

16 Q. Can you elaborate in what way?

17 A. Well, the model that's being used is a one

18 parameter model that allows one to assign a spacial

19 variability based on that one parameter. I think it's

20 pretty well-known that life is more complex than that

21 ecosystem, dynamics are more complex than that, so that

22 when you look at a specific area that may be smaller

23 than the overall area, it's clear that you could get

24 effects that differ from the mean behavior over the

25 entire area.

 

244

1 Q. Assume for purposes of my question that the

2 area in fact is larger than the area referred to there

3 by Doctor Walker in that top paragraph, would that

4 increase or decrease the ke?

5 A. It's my recollection that when Doctor Walker

6 extended the size of the transects and distances, that

7 he obtained a larger value of ke.

8 Q. And if the area was smaller than that?

9 A. And of course the converse would then be

10 true, that if you use the, a smaller region of the

11 transect, you would get a smaller number.

12 Q. Thank you.

13 MR. BURGESS: Going back for a

14 moment to Exhibit 16, counsel, do you know whether the

15 comments that Doctor Kadlec referred to as being having

16 been referred to counsel have been referred to us?

17 MR. LIPSHULTZ: Well, you would

18 either have the document or it would be on privileged

19 list, I imagine.

20 MR. BURGESS: Well, if it's on the

21 privileged list, it's not referred to as comments on

22 Qian and Reckhow and I would state for the record that

23 Exhibit 16 was not provided by Doctor Kadlec or in

24 Doctor Kadlec's documents to us, rather we got it from

25 examining Doctor Walker's documents.

 

245

1 MR. LIPSHULTZ: It's possible. I

2 can't represent to you that Doctor Kadlec's and Doctor

3 Walker's files are identical with regard to

4 correspondence they remain amongst themselves. I will

5 say that I don't recognize this offhand as a document

6 that we withheld. It may just be that it's not in

7 Doctor Kadlec's files for some reason.

8 MR. BURGESS: It's also not on a

9 privileged list because there are no FAXes on the

10 privilege list from Doctor Walker to Doctor Kadlec.

11 Q. (BY MR. BURGESS): Do you normally retain

12 copies of your communications to Doctor Walker?

13 A. In the best of all possible worlds I would

14 like to do so but my office is a trag