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TRANSCRIPT
Stakeholder Advisory Meeting #1
High Plains Aquifer System GAM
Lamesa, TX February 11, 2013
Outline Introduction
The High Plains GAM team Study Objectives General Introduction to the GAM program
Background Basics of groundwater flow Numerical groundwater modeling and the GAMs
High Plains regional overview Key model improvements Request for Data GAM schedule
Project Team & Responsibilities
Study Objectives Integrate existing HPAS GAMs
Northern Ogallala Southern Ogallala Dockum
Address key issues with the conceptual models used in the previous GAMs
Produce tool that better captures the interrelationships between the aquifers and incorporates the most-recent data available
Groundwater Availability Modeling
PEC OS
W EBB
BR EW STER
H U D SPETH
PR ESID IO
R EEVES
C U LBER SON
VAL VER D E
D U VAL
TER R ELL
C R OC KETT
KEN ED Y
FR IO
H AR R IS
H ILL
BELL
BEE
C LAY
POLK
ED W AR D S
J EFF D AVIS
KER R
GAIN ES
LEON
U VALD E
H ALE
D ALLAM
IR ION
D IMMIT
LAMB
KIN G
BEXARKIN N EY
STAR R
H ALL
W ISEJ AC K
U PTON
H ID ALGO
SU TTON
C ASS
OLD H AM
ELLIS
MED IN A
KIMBLE
ZAVALA
KEN T
R U SK
LEE
LYN N
GR AY
C OKE
LA SALLE
MILAM
ER ATH
H AR TLEY
H U N T
BR AZOR IA
SMITH
KN OX
FLOYD
LLAN O
AN D R EW S
TYLER
TR AVISLIBER TY
J ON ES
N U EC ES
R EAGAN
BOW IE
W AR D
ZAPATA
LAMAR
R EAL
N OLAN
TER R Y GAR ZA
MILLS
C OLEMAN
EC TOR
TOM GR EEN
MASON
YOU N G
FALLS
C AMER ON
MATAGOR D A
H AYS
BR OW N
C OOKE
JASP E R
D EAF SMITH
BU R N ET
MAVER IC K
H OU STON
LAVAC A
FISH ER
C OLLIN
MOOR E
FAN N IN
MOTLEY
MAR TIN
LIVE OAK
D ALLAS
EL PASO
BAILEY
BOSQU E
H AR D IN
KLEBER G
J IM H OGG
TAYLOR
C OTTLE
POTTER
D ON LEY
GOLIAD
SAN SABA
ATASC OSA
D EN TON
C OR YELLC R AN E
C ON C H O
BAYLOR
D E W ITT
BR OOKS
PAR KER
R U N N ELS
N AVAR R O
AR C H ER
C AR SON
C ASTR O
W OOD
SC U R R Y
C R OSBY
FAYETTE
Mc MU LLEN
W H AR TON
BOR D EN
C ALH OU N
SH ELBY
MEN AR D
GILLESPIE
PAR MER
W ILSON
D IC KEN S
SC H LEIC H ER
GR IMES
FOAR D
PAN OLA
H ASKELL
BR ISC OE
R AN D ALL
D AW SON
MID LAN D
H OW AR D
Mc LEN N AN
GON ZALES
GR AYSONR ED R IVER
SW ISH ER
R OBER TS
H OC KLEY
AN D ER SON
TAR R AN T
W ALKER
LU BBOC K
VIC TOR IA
BASTR OP J EFFER SON
SH ER MAN
W H EELER
MITC H ELL
YOAKU M
STER LIN GW IN KLER
TR IN ITY
H EMPH ILL
WILBAR-GER
COMAN-CHE
WA
LLER
KAR N ES
LIPSC OMB
J AC KSON
W ILLIAMSON
R EFU GIO
W ILLAC Y
LOVIN G
AU STIN
EASTLAN D
H OPKIN S
Mc C U LLOC H
BLAN C O
H AR R ISONSTEPH EN S
AN GELIN A
C ALLAH AN
C OLOR AD O
H AN SFOR D
KAU FMAN
BAN D ER A
PALO PIN TO
MON TAGU E
H AMILTON
OC H ILTR EE
C OMAL
LIMESTON ESABIN E
C OC H R AN
FOR T BEN D
C H AMBER S
VAN ZAN D T
W IC H ITA
J OH N SON
STON EW ALL
H EN D ER SON
TITU S
FR EESTON E
MON TGOMER Y
H OOD
KEN D ALL
BR AZOS
GALVESTON
U PSH U R
H U TC H IN SON
LAMPASAS
BU R LESON
H AR D EMAN
GU AD ALU PE
CHILD-RESS
ARM-STRONG
GLASS-COCK
NACOG-DOCHES
MAR ION
C ALD W ELL
MAD ISON
OR AN GE
D ELTA
R AIN S
GREGG
C AMP
MO
RR
IS
F RA N
K LIN
ROCK-WALL
COLLINGS-WORTH
THROCK-MORTON
SOMER-VEL
SANAUGUS-
TINE
SANJACINTO
JIMWELLS
SHACKEL-FORD
CHERO-KEE
NE
WT
ON
ROBERT-SON
WASHING-TON
ARAN-SASSAN
PATRICIO
80
8079
7967
6778
7885
8582
82686876
7669
6981
8175
7577
7787
8771
7172
7273
7374
7484
8486
8683
8346
4647
4766
6653
5345
4554
5456
5650
5065
6538
3864
6441
4151
5116
1659
5942
4249
4939
3963
6348
4840
4061 6157
5744
4437 3755
5558
5862
6243
4360
6052
5236
3670
7029
296
614
1417
1735
3515
159
925
25333328
288
87
712
123
334345
526
2632
3230
3023
2321 2110
1011
1127
2720
2018
1822
2219
1924
2413
132
231
314
41
Texas Water Development Board
Cindy Ridgeway
Contract Manager
High Plains Aquifer Groundwater Availability Model (GAM)
GAM Program
Purpose: to develop tools that can be used to help GCDs, RWPGs, and others understand and manage their groundwater resources.
Public process: you get to see how the model is put together.
Freely available: models are standardized, thoroughly documented. Reports available over the internet.
Living tools: periodically updated.
What is Groundwater Availability?
Science Policy Groundwater Availability
GAM or other
tool
Desired Future
Conditions
Managed Available
Groundwater
Goal: informed decision-making
Groundwater Model
Major Aquifers
Minor Aquifers
How we use Groundwater Models
Inform groundwater districts about historical conditions in the aquifer
How we use Groundwater Models
Assist districts and management areas in determining desired future conditions
0
5
10
15
20
25
0 1,000 2,000 3,000 4,000 5,000 6,000
Dra
wdo
wn
(ft)
Pumping (acre-feet per year)
Drawdown vs. Pumping in Jeff Davis County UWCD Igneous Aquifer
Scenario 1
Scenario 2
Scenario 1 Trendline
Scenario 2 TrendlineDecline in Water Levels
Requested Drawdown: 10 feet
How we use Groundwater Models
Assist districts and management areas in determining desired future conditions
5,200
5,600
6,000
6,400
6,800
7,200
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
Out
flow
(AF/
yr)
Outflow to Springs
Stakeholder Advisory Forums
Keep updated about progress of the model Understand how the groundwater model can,
should, and should not be used Provide input and data to assist with model
development
Contact Information
Cindy Ridgeway, P.G. [email protected]
512-936-2386
Texas Water Development Board 1700 North Congress Avenue
P.O. Box 13231 Austin, Texas 78711-3231
Web information:
http://www.twdb.texas.gov/groundwater/models/gam/hpas/hpas.asp
http://www.twdb.texas.gov/groundwater/index.asp
PEC OS
W EBB
BR EW STER
H U D SPETH
PR ESID IO
R EEVES
C U LBER SON
VAL VER D E
D U VAL
TER R ELL
C R OC KETT
KEN ED Y
FR IO
H AR R IS
H ILL
BELL
BEE
C LAY
POLK
ED W AR D S
J EFF D AVIS
KER R
GAIN ES
LEON
U VALD E
H ALE
D ALLAM
IR ION
D IMMIT
LAMB
KIN G
BEXARKIN N EY
STAR R
H ALL
W ISEJ AC K
U PTON
H ID ALGO
SU TTON
C ASS
OLD H AM
ELLIS
MED IN A
KIMBLE
ZAVALA
KEN T
R U SK
LEE
LYN N
GR AY
C OKE
LA SALLE
MILAM
ER ATH
H AR TLEY
H U N T
BR AZOR IA
SMITH
KN OX
FLOYD
LLAN O
AN D R EW S
TYLER
TR AVISLIBER TY
J ON ES
N U EC ES
R EAGAN
BOW IE
W AR D
ZAPATA
LAMAR
R EAL
N OLAN
TER R Y GAR ZA
MILLS
C OLEMAN
EC TOR
TOM GR EEN
MASON
YOU N G
FALLS
C AMER ON
MATAGOR D A
H AYS
BR OW N
C OOKE
JASP E R
D EAF SMITH
BU R N ET
MAVER IC K
H OU STON
LAVAC A
FISH ER
C OLLIN
MOOR E
FAN N IN
MOTLEY
MAR TIN
LIVE OAK
D ALLAS
EL PASO
BAILEY
BOSQU E
H AR D IN
KLEBER G
J IM H OGG
TAYLOR
C OTTLE
POTTER
D ON LEY
GOLIAD
SAN SABA
ATASC OSA
D EN TON
C OR YELLC R AN E
C ON C H O
BAYLOR
D E W ITT
BR OOKS
PAR KER
R U N N ELS
N AVAR R O
AR C H ER
C AR SON
C ASTR O
W OOD
SC U R R Y
C R OSBY
FAYETTE
Mc MU LLEN
W H AR TON
BOR D EN
C ALH OU N
SH ELBY
MEN AR D
GILLESPIE
PAR MER
W ILSON
D IC KEN S
SC H LEIC H ER
GR IMES
FOAR D
PAN OLA
H ASKELL
BR ISC OE
R AN D ALL
D AW SON
MID LAN D
H OW AR D
Mc LEN N AN
GON ZALES
GR AYSONR ED R IVER
SW ISH ER
R OBER TS
H OC KLEY
AN D ER SON
TAR R AN T
W ALKER
LU BBOC K
VIC TOR IA
BASTR OP J EFFER SON
SH ER MAN
W H EELER
MITC H ELL
YOAKU M
STER LIN GW IN KLER
TR IN ITY
H EMPH ILL
WILBAR-GER
COMAN-CHE
WA
LLER
KAR N ES
LIPSC OMB
J AC KSON
W ILLIAMSON
R EFU GIO
W ILLAC Y
LOVIN G
AU STIN
EASTLAN D
H OPKIN S
Mc C U LLOC H
BLAN C O
H AR R ISONSTEPH EN S
AN GELIN A
C ALLAH AN
C OLOR AD O
H AN SFOR D
KAU FMAN
BAN D ER A
PALO PIN TO
MON TAGU E
H AMILTON
OC H ILTR EE
C OMAL
LIMESTON ESABIN E
C OC H R AN
FOR T BEN D
C H AMBER S
VAN ZAN D T
W IC H ITA
J OH N SON
STON EW ALL
H EN D ER SON
TITU S
FR EESTON E
MON TGOMER Y
H OOD
KEN D ALL
BR AZOS
GALVESTON
U PSH U R
H U TC H IN SON
LAMPASAS
BU R LESON
H AR D EMAN
GU AD ALU PE
CHILD-RESS
ARM-STRONG
GLASS-COCK
NACOG-DOCHES
MAR ION
C ALD W ELL
MAD ISON
OR AN GE
D ELTA
R AIN S
GREGG
C AMP
MO
RR
IS
F RA N
K LIN
ROCK-WALL
COLLINGS-WORTH
THROCK-MORTON
SOMER-VEL
SANAUGUS-
TINE
SANJACINTO
JIMWELLS
SHACKEL-FORD
CHERO-KEE
NE
WT
ON
ROBERT-SON
WASHING-TON
ARAN-SASSAN
PATRICIO
80
8079
7967
6778
7885
8582
82686876
7669
6981
8175
7577
7787
8771
7172
7273
7374
7484
8486
8683
8346
4647
4766
6653
5345
4554
5456
5650
5065
6538
3864
6441
4151
5116
1659
5942
4249
4939
3963
6348
4840
4061 6157
5744
4437 3755
5558
5862
6243
4360
6052
5236
3670
7029
296
614
1417
1735
3515
159
925
25333328
288
87
712
123
334345
526
2632
3230
3023
2321 2110
1011
1127
2720
2018
1822
2219
1924
2413
132
231
314
41
Outline Introduction
The High Plains GAM team Study Objectives General Introduction to the GAM program
Background Basics of groundwater flow Numerical groundwater modeling and the GAMs
High Plains regional overview Key model improvements Request for Data GAM schedule
Early Credits
Thanks and credit to Robert Mace at TWDB for many of the slides in this section
What is an aquifer?
an aquifer is geologic media that can yield economically usable amounts of water. DIRT ROCK
What is an aquitard?
an aquitard is geologic media that can not yield economically usable amounts of water.
clay, shale, unfractured dense rocks Note: can still transmit water,
but s l o w l y
What is a water table?
A water table is where the saturated zone meets the vadose (unsaturated) zone.
A water table occurs where the groundwater is under atmospheric pressure
Same aquifer: unconfined and confined
unconfined
confined Hydraulic Head: Water level as measured in a well
Groundwater Flow
Groundwater flows from higher potential energy (head) to lower potential energy
Direction of flow
Hydraulic conductivity – A physical property of the geologic media representing its ability to transmit water (related to permeability and transmissivity)
Aquifer Properties
WELL SORTED Coarse (sand-gravel)
POORLY SORTED Coarse - Fine
WELL SORTED Fine (silt-clay)
Permeability and Hydraulic Conductivity High Low
S. Hughes, 2003
Aquifer Properties
Specific yield – The volume of water that an unconfined aquifer releases from storage per unit surface area of aquifer per unit decline in water table elevation.
Aquifer Properties
From Heath (1983)
Porosity
Specific Yield
Storativity – The volume of water that a confined aquifer releases from storage per unit surface area of aquifer per unit decline in head. Much smaller than specific yield
Aquifer Properties
Specific Yield vs. Storativity
> From Heath (1983)
Specific Yield vs. Storativity
Source: TWDB
Groundwater Definitions (cont.)
Recharge – The entry of water to the saturated zone at the water table:
Recharge = (precipitation + stream loss) minus (runoff + evapotranspiration).
Cross-formational flow – Groundwater flow between separate geologic formations.
Stream losses or gains – The water that is either lost or gained through the base of the stream or river.
Schematic Cross Section of Groundwater Flow
Definition of a Model
Domenico (1972) defined a model as a representation of reality that attempts to explain the behavior of some aspect of reality and is always less complex than the real system it represents
Wang & Anderson (1982) defined a model as a tool designed to represent a simplified version of reality
Why Groundwater Flow Models?
In contrast to surface water, groundwater flow is difficult to observe
Aquifers are typically complex in terms of spatial extent and hydrogeological characteristics
A groundwater model provides the only means for integrating available data for the prediction of groundwater flow at the scale of interest
Numerical Flow Model A numerical groundwater flow model is the
mathematical representation of an aquifer It uses basic laws of physics that govern
groundwater flow In the model domain, the numerical model
calculates the hydraulic head at discrete locations (determined by the grid)
The calculated model heads can be compared to hydraulic heads measured in wells
Modeling Protocol
Define model objectives
Data compilation and analysis
Conceptual model
Calibration
Reporting
Verification
Future Water Strategies
Prediction
Comparison with
field data
Model design
Field data
Field data
*Includes sensitivity
analysis
Transient*
Steady State*
West East
Spring
Dry spring
Irrigation return flow
Enhanced recharge beneath agricultural area
Escarpment spring
Start with a conceptual model Divide it up into cells
Outline Introduction
The High Plains GAM team Study Objectives General Introduction to the GAM program
Background Basics of groundwater flow Numerical groundwater modeling and the GAMs
High Plains regional overview Key model improvements Request for Data GAM schedule
Study Area
Regional Planning Groups
Groundwater Management Areas
Groundwater Conservation Districts
Topography (Feet above mean sea level) Source: USGS
Annual Average Precipitation 1971- 2000 Source: Oregon State University PRISM Climate Data Group
Annual Average Temperature 1971- 2000 Source: Oregon State University PRISM Climate Data Group
High Plains Aquifer Boundaries
Major Aquifers Minor Aquifers
Cross-Section
Source: Blandford and others (2008)
Cross-Section
Source: Blandford and others (2008)
Model Layering
GAM Model Specifications
Three dimensional (MODFLOW-NWT) Regional scale (1000’s of square miles) Grid spacing
Uniform grid – ½ mile proposed
Implement recharge groundwater/surface water interaction pumping
Calibration to observed water levels/fluxes
MODFLOW Code developed by the U.S. Geological Survey Selected by TWDB for all GAMs Handles the relevant processes Comprehensive documentation Public domain – non-proprietary Most widely used groundwater model
USGS had 12,261 downloads of MODFLOW computer code in 2000
Supporting interface programs available Groundwater Vistas to be used in all GAMs
Using MODFLOW-NWT – most recent version
Outline Introduction
The High Plains GAM team Study Objectives General Introduction to the GAM program
Background Basics of groundwater flow Numerical groundwater modeling and the GAMs
High Plains regional overview Key model improvements Request for Data GAM schedule
Key Model Improvements
Integrate existing HPAS GAMs Northern Ogallala (including Rita Blanca) Southern Ogallala (including Edwards-Trinity) Dockum Cross-formational flow important to DFC process
Key Model Improvements Address some key conceptual issues, including
Improved/consistent hydrostratigraphy (utilize BRACS) Historical pumping estimates (potentially base on volumetric
balance) Treatment of recharge, return flow
HPWD, PGCD, NPGCD provided additional resources for these tasks and more, e.g. Increased density of structural picks Streamlined tools for estimating historical production More comprehensive treatment of recharge More stakeholder involvement (more direct
meetings) – it is critical that we get all useful data and information from all the districts and other stakeholders
Hydrostratigraphy
BEG (Hamlin/Nance) will lead development of structure, with review by Seni
Primary control through new geophysical log analyses Secondary information from driller’s logs, cores,
previous studies Products
Structural picks Lithology and potentially porosity estimates Water quality estimates, when possible (more
applicable to Dockum)
Hydraulic Properties
Lack of pump test data in region, relative to total number of wells. Possible additional sources: TCEQ water supply records GCD records, Ag research stations
Other inputs/considerations Specific capacity from driller’s logs Lithology and sand percent from geophysical logs DBSA lithologic analyses of driller’s logs Depositional environment Specific yield
Recharge Effort led by Bridget Scanlon at BEG Primary Ogallala issues
Differences between Northern and Southern implementations
Where does areal recharge occur outside playas Rate of infiltration versus water table decline Irrigation return flow Significant recharge in the southernmost counties
Dockum recharge will likely be similar to previous model
Developing new spatial and temporal recharge model consistent across the region
Natural Discharge
Discharge to surface water from Ogallala a small portion of post-development water balance
Some exceptions (e.g. Hemphill County) Records of past springs may be helpful for steady-
state calibration Some springs have a perched source that may not be
implementable in this model
Groundwater Production
Dominant discharge mechanism for Ogallala Increasing in Dockum Some meter data now available
North Plains (all) Panhandle (in management areas) High Plains (starting)
Historical demand estimates available Change in storage calculations can provide
alternative estimation method
Outline Introduction
The High Plains GAM team Study Objectives General Introduction to the GAM program
Background Basics of groundwater flow Numerical groundwater modeling and the GAMs
High Plains regional overview Key model improvements Request for Data GAM schedule
Data Request Any un-published data to support
the model Geophysical logs Pump tests Water levels Interpreted properties Structural picks Production information
Data request by March 15, 2013
Tasks and Proposed Schedule
Thank You Questions?
Wade Oliver, PG 512-425-2058
Neil Deeds, PhD, PE 512-425-2025
1
Meeting Minutes for the First High Plains Aquifer System Groundwater Availability Model (GAM) Stakeholder Advisory Forum (SAF) Meeting
February 11, 2013
Mesa UWCD Offices, Lamesa, Texas The first Stakeholder Advisory Forum (SAF) Meeting for the High Plains Aquifer System Groundwater Availability Model (GAM) was held on Monday, F e b r u a r y 1 1 , 2013 at 1:00 PM at the offices of Mesa Underground Water Conservation District located at 212 North Ave. G in Lamesa, Texas. A list of meeting participants is provided at the end of this meeting note.
The purpose of the first SAF meeting was to provide an introduction to the High Plains Aquifer System, the modeling team, and to solicit input from stakeholders including any available data that could be made public in support of this modeling project. The meeting also provided a forum for discussing the project schedule and provided an opportunity for feedback from stakeholders.
Meeting Introduction: Cindy Ridgeway, TWDB The meeting was initiated by Ms. Cindy Ridgeway of the Texas Water Development Board (TWDB). She gave a brief introduction to the GAM Program and discussed how GAMs are used in Texas water resources planning. She then discussed GAMs and how they related to modeled available groundwater (MAG) as well as the importance of the stakeholder process. She closed by introducing the High Plains Aquifer System GAM Team and introduced the project manager Dr. Neil Deeds of INTERA, Inc.
SAF Presentation: Neil Deeds, Ph.D., P.E., INTERA, Inc. Dr. Deeds presented a prepared presentation structured according to the following outline:
1. The basics of groundwater flow in the aquifers; 2. The concept of numerical groundwater flow modeling; 3. The concept of numerical groundwater flow modeling; 4. Experience from previous models of the aquifers; 5. The planned approach to modeling the aquifers; 6. A request for relevant data to support the model; and 7. The proposed schedule for the project.
2
Questions and Answers:
Q: Senate Bill 660 last legislative session required that desired future conditions provide a balance between the “highest practicable level of groundwater production and the conservation, preservation” etc. of groundwater. Will the TWDB use the GAM to provide the districts with an estimate of the “highest practicable level of groundwater production” to consider when developing DFCs?
A: No. Texas Water Code 36.108 (d) and 36.108 (d-2) direct the districts in a groundwater management area to propose desired future conditions that provide a “balance between the highest practicable level of groundwater production and the conservation, preservation, protection, recharging, and prevention of waste of groundwater and control of subsidence.” TWDB uses the GAMs to provide the best available information about the aquifers such as extracting historical water budgets to see how the aquifer(s) responded in the past or to develop modeled available groundwater based on from DFC policy decisions by management entities. What is considered “practicable” inherently contains policy decisions made at a local level regarding the extent to which groundwater could feasibly be developed. Statute directs that this determination is to be made by the local groundwater districts in the management areas.
Q: When will the model be complete?
A: A draft of the transient model is scheduled to be finished in January 2015.
Q: How did additional GCD funding come to happen?
A: TWDB selected the contractor under the original scope. Participating districts identified several scope areas that could be improved with additional funding. Participating districts then coordinated with TWDB to provide additional funding under an expanded scope.
Q: How does the funding for this GAM ($600K original + $300K additional from the Districts) compare to previous Texas GAMs?
A: It is one of the higher levels of funding for a GAM.
Q: When does TWDB give a green light to use the model for the DFC process?
A: The final report will be completed in August 2015. The model will be reviewed by TWDB and, if found to meet GAM standards, will be available after that (approximately 1-2 months after delivery). The districts may choose to use the draft model prior to review by TWDB, but this carries some risk if TWDB determines that some changes need to be made.
Q: Can we request an extension for adopting DFCs, i.e. wait for the model to come out officially?
A: TWDB rules regarding the timing of the adoption of DFCs (Texas Administrative Code §356.31(a)), which is consistent with Texas Water Code §36.108, require that new DFCs are adopted not later than five years after the date the GMA last adopted a DFC. The statute does not provide for flexibility in this requirement.
3
Q: How much of this is reinventing the wheel from previous models?
A: In nearly all aspects of the model, the goal is to enhance existing work. We are not going to be reanalyzing accepted analysis/data, but rather improving and extending the model, where possible, with new data.
Q: What was the time period of the previous model [Southern portion of the Ogallala Aquifer including the Edwards-Trinity (High Plains) GAM]?
A: The focus of the model calibration was between 1980 and 2000.
Q: How can [or should] the districts that did not provide additional funding contribute to the project?
A: GCD data input is critical to this process. The districts in this region have been around for a long time and have collected lots of valuable data. Resources for updating the model will be amplified if the districts can help in providing all this data [including more recent data].
Q: Will the data that the districts provided for the previous GAM(s) be incorporated into the model?
A: Yes.
Q: It would be nice to simulate years 2010 and 2011 in the model update, since these represent very wet and very dry years.
A: We have proposed that the transient calibration run through 2011. The changes to the aquifers during this time period will therefore be included in the model.
4
February 11, 2013
Attendance
Name Affiliation Cindy Ridgeway TWDB
Leatrice Adams Permian Basin UWCD
Donna Springer Permian Basin UWCD
Gerald Crenwelge High Plains WD
HP Brown Region O
Ray Brady RMBT
Stefan Schuster DBSA
Bill Mullican HPWD
Ken Rainwater TTUWRC
Darrell Peckham Water Quest
Deanya Williams Mesa UWCD
Lori Barnes Llano Estacado UWCD
Harvey Everheart Mesa UWCD
Ben Weinheimer TX Cattle Feeder's Assocation
Jim Conkwright HPWD
Jason Coleman SPUWCD
Wade Oliver INTERA
Neil Deeds INTERA