sustainable groundwater management applications for central gulf coast aquifer
DESCRIPTION
Sustainable Groundwater Management Applications for Central Gulf Coast Aquifer. Venkatesh Uddameri. Texas A&M University-Kingsville; MSC 213 Kingsville, TX 78363 [email protected] Ph: 361-593-2742; Fax: 361-593-2069. Background. - PowerPoint PPT PresentationTRANSCRIPT
Sustainable Groundwater Management
Applications for Central Gulf Coast Aquifer
Venkatesh Uddameri
Texas A&M University-Kingsville; MSC 213 Kingsville, TX 78363Texas A&M University-Kingsville; MSC 213 Kingsville, TX [email protected]
Ph: 361-593-2742; Fax: 361-593-2069Ph: 361-593-2742; Fax: 361-593-2069
Background
Effective groundwater management is necessary for sustainable use of aquifer resources Groundwater resource consists of two components
Natural capital – Groundwater in stock Physical capital – Groundwater utility
Benefits obtained from groundwater use Often quantified in monetary terms
Sustainability current generation does not threaten future generations access to this resource Weak Sustainability – Future generations have same access to total
groundwater capital as the current Does not differentiate between physical and natural capital Availability of alternative water resources
Strong Sustainability – Future generation have same access to each individual components Differentiates between physical and natural capital May curtain economic growth and utilities
Groundwater Planning and Management
Aquifer management requires two interconnected pieces of information How much water is in the aquifer?
Hydrogeology aspect How much do we want to extract?
Policy making aspect
Q
Groundwater Management
Groundwater Planning can be mathematically expressed as follows:
H2 = F * H1
HydrogeologyPolicy
F = 0 Mining F = 1 Conservation
Risk-Attitudes
H1
H2
Groundwater Management
The hydrogeology aspect is derived using a groundwater flow model Provide estimates for groundwater head under different scenarios
Hydraulic head defines amount of water in the aquifer Use water balance and Darcy’s law
Groundwater planning requires a crystal ball The flow model provides one
Flow model can characterize the head variability due to: Hydroclimatology
Precipitation, evapotranspiration Anthropogenic factors
Abstractions for various uses Alterations to land use and land cover
Hydrogeologic variability Changes in geologic features in space / time
Surface water-Groundwater Interactions Exchange between rivers/creeks and aquifers
Hydrogeology
Questions related to flow modeling
What is the right model to use? Depends upon the application context Models are like maps
Need a different map for different purposes
“Scale” of the model is an important factor Large scale models capture regional interactions
Usually better for screening purposes Does Refugio has more groundwater than Goliad
The resolution of the model has to be fairly coarse Refined models capture local interactions
Required for contaminant transport Are persons in House A exposed to chemical A more than those in House B
Data requirements magnify significantly
Selection of an appropriate model is often an iterative process
Hydrogeology
Case-Study
Groundwater Flow Models for use in Central Gulf Coast Aquifer (Refugio Groundwater District)
A County-scale Model A two-layer county scale model was calibrated for Refugio county
GHB and horizontal hydraulic conductivity as calibration parameters 0.3 mi x 0.3 mi grid size
Computed Vs Observed
-10
0
10
20
30
40
50
60
70
80
-10 0 10 20 30 40 50 60 70 80
Observed Values in ft
Com
pu
ted
val
ues
in f
t
Layer -II
Hydrogeology
County-scale Model – Post-audit
The county scale model post-audit revealed the following: Model captured current trends fairly reasonably
Parsimonious model Model domain consistent with GW district boundary
Need for arbitrary boundary conditions on the western side Checked for reasonableness and conservatism
Recharge areas of the aquifer outside the district boundary Actions of other districts can affect GW in Refugio and vice-versa
Goliad and Bee counties Need a model to incorporate these effects
Satisfactory for preliminary planning & provided insights on data limitations and future modeling efforts
Hydrogeology
Basin-scale modeling
TWDB recently released a basin-scale model for the Central Gulf Coast aquifer 1 mile x 1 mile grid Model domain is large
Wharton to Kenedy counties Model was reasonably calibrated
Focus was on high GW use areas Jackson county & Kleberg county
State GAM
Hydrogeology
Basin-scale modeling - Post Audit
Model was qualitatively evaluated for use in the Central section of the central gulf coast aquifer Refugio, Bee, Goliad, DeWitt, Victoria and Live Oak
Provides useful information on geology, hydrology Estimates for recharge, geologic cross-sections, etc.
Limited data from the six county area was used in the model development / calibration
Model underpredicted baseflows in several streams within the area of interest
Not suited when wells screen entire (or lower sections) of the Evangeline aquifer
Useful starting point for a more-refined modeling effort
Hydrogeology
Multi-County scale flow model
A Multi-county groundwater flow model is currently being developed Phase-I is the development of a steady-state model Incorporate lessons learnt from previous efforts Use TWDB GAM information as basis
Refine some of its limitations Close interactions with several groundwater districts
Update water use data; identify new pumping wells Technical Stakeholder Group - provide guidance and data
Representatives from a wide section of stakeholders with differing interests
Hydrogeology
San Diego, San Fernando Creek
Lavaca River
Model Domain
State GAM
Hydrogeology
Model Conceptualization - Geology
Model follows TWDB GAM conceptualization Model has 4 aquifer formations
Chicot Evangeline
Goliad sands Burkeville
Aquitard Jasper
Each water-bearing formation is represented by two layers Better distribution of well pumping
Hydrogeology
Model Conceptualization - Geology
Stratigraphy from Baker (1979) and Ryder and Carr (1985); Solis (1981) Drillers records 35 e-logs used to construct the cross-sections
~ 10 used for QA/QC
Chicot 2 Layers
Evangeline 2 Layers
Burkeville 1 Layer
Jasper 2 Layers
Cross-SectionLavaca river
Coast
Carrizo
-Wilc
ox
TOP VIEW
Sanjose,Sandiego, Sanfernando creeks
Hydrogeology
Model Conceptualization - Discretization Use 0.5 x 0.5 mile grid (0.25 sq. miles)
216 x 170 grids (36720 cells) Orientation parallel to the regional groundwater flow
Hydrogeology
Model Conceptualization – Boundary Conditions No-Flow boundary on the west
Carrizo-Wilcox – Gulf Coast Interface General Head / No flow Boundary on the east
Coastal region Lavaca River on the north San Jose/San Diego/San Fernando creeks in south
CHICOT
Evangeline
Burkeville
Jasper
General Head boundary
No Flow Boundary
Anthropogenic demand
Precipitation
Evapotranspiration
Groundwater flow
Discharge
Cross formational flow
Hydrogeology
Current efforts
Finalize the water use information Start calibration
Hydraulic conductivity and conductance as calibration parameters
Use TWDB groundwater database to identify calibration and evaluation wells
Use PEST for automatic calibration
Hydrogeology
Policy aspects of Groundwater availability
Groundwater Management – Policy Instruments Groundwater Districts need to:
Assess existing total usable amount of groundwater in the district Develop production rules for permitting wells Develop well-spacing guidelines Protect against negative externalities
Drying up of shallow wells due to large-scale pumping Reductions in baseflows to streams and creeks
Fish kills and other surface water impairments Intrusion of salt-water Subsidence Enhanced vulnerability to water supplies
Groundwater models can be used to address these issues Will help make a more informed decision
Decision-support tools
Optimization Model Coupled the groundwater model with a management model to
estimate available groundwater under pre-specified constraints Preserve baseflows, prevent salt-water intrusion, etc. Use optimization technique
Simulation Model Optimization Model
•Roughly 40,000 acre-feet of water is available for the conditions specified•Saltwater intrusion constraint is very significant•Most of the groundwater recharge occurs in adjoining counties
•Cooperation amongst adjoining districts is vital
What about Uncertainties?
Does geologic variability or diverse preferences of decision-makers have a bigger impact on water availability estimates?
Problem Statement
Geologic variability is to be expected Lack of data Calibration is non-unique
Stakeholders have different viewpoints Place all the pumping wells in recharge areas
Economically-inclined Restrict pumping to discharge areas
Conservation-oriented
Should be spend our resources collecting better geologic data OR reconcile differences between stakeholders?
Interval Optimization
Used interval optimization technique to assess water availability under uncertainty All geologic parameters were assumed to be accurate only within two orders of
magnitude Typical variability
Pumping was mostly restricted to either recharge areas or discharge areas
Interval Optimization Both had almost equal impacts
Collect more data AND reconcile stakeholder differences Consensus necessary on salt-water constraint
8000
18000
28000
38000
48000
58000
68000
78000
88000
98000
108000
0 -5 - 0 -5-1 -5-2 -5-3 -5-4 -5 -6 -7 -8 -9 -10 -11 -12 -15 -20
Salt water Intrusion constraints
Tot
al a
vaila
bilit
y ac
ft/a
nnum
Parameters
DMP
Stakeholder Technical Group
Field Sampling Efforts
Impacts of Model Discretization
Do model development decisions affect groundwater availability estimates? Do we need to specify “safety factors” to induce conservatism
Factorial Sensitivity Testing to study discretization effects Discretization can have some effect, but not as much as geology
or management choices Coarser grids yield conservative estimates when permeability is
low (all other things being equal) Finer grids yield conservative estimates in highly permeable sand
and gravel (all other things being equal)
Developing Well Spacing Guidelines
How can we use models to obtain well spacing guidelines
Well Spacing Guidelines
A nonlinear optimization approach was used to determine Well spacing guidelines for Refugio GCD using Theis equation Applicable to confined aquifers Conservative in unconfined aquifers
Unconfined aquifers have greater storage
Q r
t=0
t=t t=t
Drawdown
Observation well Pumping
well
h=0
h=t
T S Confined Aquifer
Well Spacing Guidelines
Well spacing based on identifying the radius of influence of the well Drawdown at the perimeter should be negligible
< 0.05 ft No negative externalities
Well spacing determined as a function of pumpage Using multiple optimization runs
Well spacing ranges from 0.63 ft/gpm – 4.2 ft/gpm Average well spacing ~ 2 ft/gpm Well spacing is not an issue when pumping is less than 20 gpm
Not an issue for exempt domestic wells ( < 25000 gpd)
Baseflow Externalities
Reconcile Competing Economic and Ecological Objectives to estimate water availability
Problem Statement
Pumping groundwater can lead to economic benefits Costs associated with pumping
Marginal costs increase with increased pumping Benefits associated with pumping
Marginal benefits decrease with increased pumping
Pumping groundwater can reduce baseflows Impairment and lost recreational opportunties
Maximize economic gains over the planning horizon while avoiding baseflow externality
Q
Critical Limit
hH
e
cs
Tt
QtxHFt
HS
TS
dttQHU
,,,
.
,,0
Baseflow Externality
Hydroeconomic analysis to identify allowable pumping rates during the planning period Optimal control theory
Model results indicated that explicit policy statements are necessary to avoid baseflow externality If pumping is not curtailed to some critical limit, there will be
significant reductions to baseflows
Comparison with a purely economic-driven policy was helpful Shadow price of maintaining a particular baseflow Compare shadow price with willingness to pay
Closing Remarks
Models are useful tools to guide policy planning endeavors Will never provide exact answers
Models need to be understood and accepted by stakeholders Modeling is a process not an event
Models should be evaluated in the context of the application Keep the “big picture” in mind
Easy to lose sight of forest for the trees Evaluating models => Assessing its assumptions
All models have assumptions!!
Closing Remarks
Emphasize simplicity – Goal is to find the simplest model that will fit your needs Not any simpler or complex Avoid “cosmetic complexity” traps
Evaluate cost-benefits
Be skeptical but not cynical about models Carryout post-audit analysis Proceed with caution
Coupling flow models with other tools is beneficial Optimization; data collection; pump tests
Sponsors
Refugio Groundwater Conservation District South Texas Alliance of Groundwater Districts
Goliad Groundwater Conservation district (lead)
National Science Foundation – Center for Research Excellence in Science and Technology – CREST-RESSACA
National Oceanic and Atmospheric Administration (NOAA)
Texas Water Resources Institute (TWRI/USGS)