A More Accurate and Powerful Tool for Managing Groundwater Resources and Predicting Land Subsidence: an application to Las Vegas Valley Zhang, Meijing.

Slides:



Advertisements
Similar presentations
Simulation of groundwater response to development: CENTRAL PASSAIC RIVER BASIN, NJ Fatoumata Barry 1,2, Duke Ophori 1, Jeffrey L. Hoffman 2 and Robert.
Advertisements

1 Using SUB model to predict long-term land subsidence in Yunlin and Chiayi areas Presenter : Chiou-Shiang Hung Adviser : Chuen-Fa Ni Date : 2010/10/07.
Getahun Wendmkun Adane March 13,2014 Groundwater Modeling and Optimization of Irrigation Water Use Efficiency to sustain Irrigation in Kobo Valley, Ethiopia.
Introduction to Groundwater Flow Modeling Prof. Dr. Halil Önder Fall 2008.
報告者:蕭鈺 指導老師:倪春發 老師 2010/12/ Introduction 2. Rocca Pitigliana Test Site 3. Monitoring System 4. Hydrologic Modeling 5. Results and Discussion 6.
Groundwater Flow Model of the Southern Willamette Valley Groundwater Management Area Jeremy Craner and Roy Haggerty Department of Geosciences.
Chapter 8 Fetter, Applied Hydrology 4 th Edition, 2001 Geology of Groundwater Occurrence.
Distribution of Nitrate in Ground Water Under Three Unsewered Subdivisions Erin P. Eid Mike Trojan Jim Stockinger Jennifer Maloney Minnesota Pollution.
Incorporation of Magnetic Resonance Sounding data into groundwater models through coupled and joint inversion 8th Annual Meeting of DWRIP 2014 JANUARY.
By Saleh A. Al-Hassoun Associate Professor Department of Civil Engineering College of Engineering King Saud University Riyadh, Saudi Arabia
Analysis of Tomographic Pumping Tests with Regularized Inversion Geoffrey C. Bohling Kansas Geological Survey SIAM Geosciences Conference Santa Fe, NM,
Uncertainty analysis and Model Validation.
HYDRUS_1D Sensitivity Analysis Limin Yang Department of Biological Engineering Sciences Washington State University.
The Calibration Process
Watershed Hydrology, a Hawaiian Prospective; Groundwater Ali Fares, PhD Evaluation of Natural Resource Management, NREM 600 UHM-CTAHR-NREM.
Acquisition and Interpretation of Water-Level Data Travis von Dessonneck.
Uses of Modeling A model is designed to represent reality in such a way that the modeler can do one of several things: –Quickly estimate certain aspects.
MODFLOW – Introduction Organization & Main Packages
-Las Vegas is the fastest growing metropolitan area in the U.S. -It encompasses 1.2 million (2/3 of Nevada’s population) -Visited by 30 million tourists.
Hydraulic head applications of flowmeter logs in karst aquifer studies Fred Paillet Geosciences Department University of Arkansas.
The Islamic University of Gaza Faculty of Engineering Approaches to Groundwater Modeling Conceptual Model.
Determination of Ellenburger Aquifer Sustainability
Uncertainty Analysis and Model “Validation” or Confidence Building.
Advancements in Simulating Land Hydrologic Processes for Land Surface Modeling (LSM) Hua Su Presentation for Physical Climatology.
III. Ground-Water Management Problem Used for the Exercises.
Using Ground-Water Model Predictions and the ppr and opr Statistics to Guide Data Collection.
Management Application: Volume of Water in Storage (An Ogallala Example with Applicability to All Aquifers in Texas) Judy A. Reeves, Ph.D. Hydrogeologist,
Storage Coefficients/Specific Yield. Storage Coefficient/Storativity S: storage coefficient or storativity: The amount of water stored or released per.
(Zheng and Bennett) Steps in Transport Modeling Calibration step (calibrate flow model & transport model) Adjust parameter values Traditional approach.
Representing Groundwater in Management Models Julien Harou University College London 2010 International Congress on Environmental Modelling and Software.
Monitoring and modelling 3-D ground movements induced by seasonal gas storage in deep reservoirs P. Teatini, G. Gambolati, N. Castelletto, M. Ferronato,
U.S. Department of the Interior U.S. Geological Survey Water Resources Jack Eggleston and Verne Schneider June 22-23, 2013 Groundwater Science Potential.
U.S. Department of the Interior U.S. Geological Survey Ground-Water Monitoring in the Lake Michigan Basin Lake Michigan Monitoring Coordinating Council.
Modflow, GWVistas MODular three-dimensional finite- difference ground-water FLOW model
Darcy’s Law and Flow CIVE Darcy allows an estimate of: the velocity or flow rate moving within the aquifer the average time of travel from the head.
Study on scaling property of Topindex and the aquifer rating-curve in Illinois with the application of TopModel CE394K Term Project Presentation CE394K.
Aquifer Storage Properties CVEG 5243 Ground Water Hydrology T. Soerens.
Modes of Sustainability Definition  In text  In aquifer-storage terms  In water-budget terms  In physical changes at the river (natural side)
Studying the effects of an irrigation/drainage network on groundwater table fluctuations using 3D groundwater flow modeling Mohammad Zare Manferd Koch.
DRAINMOD APPLICATION ABE 527 Computer Models in Environmental and Natural Resources.
Why a new groundwater model? Developing a new model for sacramento valley Annual DWR Geology & Groundwater Meeting December 3, 2014 Linda D. Bond, P.G.
Estimating Groundwater Recharge in Porous Media Aquifers in Texas Bridget Scanlon Kelley Keese Robert Reedy Bureau of Economic Geology Jackson School of.
Ogallala Formation (containing High Plains Aquifer): Deposited over 10 million years ago Coarse-grained sand, gravel, fine clay, silt, and sand 174,000.
Colleague Review GW Reports January Colleague Review of Ground-Water Reports n Mapping Reports n Ground-Water Modeling Reports n Geochemistry Reports.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department EENV 5326 Groundwater Modeling.
EGEE 520 Groundwater Flow in Porous Media Abdallah Abdel-Hafez.
Arc Hydro groundwater data model: a data model for groundwater systems within ArcGIS AWRA Specialty Conference Geographic Information Systems (GIS) and.
Water Management Options Analysis Sonoma Valley Model Results Sonoma Valley Technical Work Group October 8, /08/2007.
Groundwater Systems D Nagesh Kumar, IISc Water Resources Planning and Management: M8L3 Water Resources System Modeling.
Chitsan Lin, Sheng-Yu Chen Department of Marine Environmental Engineering, National Kaohsiung Marine University, Kaohsiung 81157, Taiwan / 05 / 25.
Flow to Wells - 1 Groundwater Hydraulics Daene C. McKinney.
2002/05/07ACES Workshop Spatio-temporal slip distribution around the Japanese Islands deduced from Geodetic Data Takeshi Sagiya Geographical Survey Institute.
CE 3354 Engineering Hydrology Lecture 2: Surface and Groundwater Hydrologic Systems.
Objective: conceptual model definition and steady state simulation of groundwater flow.
Workshop on “Coastal Aquifer Management in the Caribbean” 14 th - 16 th December 2011 Trinidad and Tobago Workshop on “Coastal Aquifer Management in the.
A Brief Introduction to Groundwater Modeling
Building Transient MODFLOW Models
Date of download: 7/8/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of leveling data (red open squares) and the InSAR time series (blue dots).
AUTOMATED PARAMETER ESTIMATION Model Parameterization, Inverse Modeling, PEST.
Aquifer Test Analysis Carter Lake, Iowa
Marcell Lux, hydrogeologist engineer
The Calibration Process
Chapter 6 Calibration and Application Process
Uses of Modeling A model is designed to represent reality in such a way that the modeler can do one of several things: Quickly estimate certain aspects.
Example Estimate the average drawdown over an area where 25 million m3 of water has been pumped through a number of uniformly distributed wells.
Deflated Conjugate Gradient Method
The Islamic University of Gaza Faculty of Engineering Approaches to Groundwater Modeling Conceptual Model.
Anisotropy – Key ideas Effective conductivity that represents aggregate effect of flow through a layered system Effective conductivity is different parallel.
Chapter 5 Sources and Sinks
2New Jersey Department of Environmental Protection
Presentation transcript:

A More Accurate and Powerful Tool for Managing Groundwater Resources and Predicting Land Subsidence: an application to Las Vegas Valley Zhang, Meijing Dept. of Geosciences, Virginia Tech Advisor: T.J. Burbey

Figure from ter.aspx Relationship between land subsidence and hydraulic head Surface Water Groundwater Aquifer System

Relationship between land subsidence and hydraulic head Total stress σ Water pressure Effective stress σ’

Relationship between land subsidence and hydraulic head Pumping well

Total stress σ Water pressure Effective stress σ’ Δb is the land subsidence. S k is the skeletal storage coefficient, and Δh is the change in hydraulic head According toTerzaghi's one-dimensional consolidation theory, deformation occurs only in vertical direction

Generalized surficial geologic map of Las Vegas Valley Geologic cross-section (A-A’) illustrates the stratigraphic and fault relations interpreted from well log data. (From Bell, 2008) Bedrock Sand and gravel Silt and clay interbed A A’ Bedrock Sand and gravel Silt and clay interbed Fault A A’

Groundwater has been pumped since 1905; More Than 1.5 m of subsidence has been observed since 1935 Bedrock Fault Pumping well Recharge well To help mitigate the ongoing occurrence of land subsidence, an artificial recharge program was initiated in 1989 Pumping and Recharging wells

Water Depth Subsidence Seasonal and long-term subsidence and water level patterns at the Lorenzi site, Las Vegas, Nevada A significant percentage of the subsidence is delayed relative to the water-level decline

What causes subsidence and delayed drainage? A significant percentage of the subsidence is delayed from the water-level decline

Subsidence map for Las Vegas Valley from 1992 to 1997 (From Bell, 2002) Subsidence bowls are offset from the major pumping center. Over time, the valley has yielded a very complex subsidence pattern, much more so than the water-level distribution

To better manage groundwater resources and predict future subsidence we have updated and developed a more accurate groundwater management model for Las Vegas Valley Layer2 Deep-zone AquiferLayer4 Developed-zone Aquifer Near-surface Aquifer Layer3 Layer1 The vertical conceptual model layer distribution (From Yan, 2007)

Faults 50m-Cell The model incorporates MODFLOW with the SUB (subsidence) and HFB (horizontal flow barrier) packages Extended simulation period from million cells

Groundwater flow equation K is the component of the hydraulic conductivity W is the volumetric flux per unit volume of sources or sinks of water S s is the specific storage S ’ s is the specific storage of the interbed K v ’ is the vertical hydraulic conductivity of the interbed The unequilibrated heads within the interbeds can be described by the one-dimensional diffusion equation

Sources of observation data Groundwater level data can be obtained from the USGS Groundwater monitoring network Pumping and Recharging wells Las Vegas Valley Water District and State Engineer’s Office will provide needed pumping and artificial recharge data for the extended period of record

Subsidence map for the period (from Bell, 2008) (left) GPS Land subsidence data InSAR and PS-InSAR Benchmarks established in 1935 and 1963 Currently only one continuous GPS station has been monitored for more than a few years Provides surface deformations from interferometric synthetic aperture radar (data available from )

Permanent scatterer velocity maps ( ) showing target velocities in mm/yr for the Las Vegas basin (provided by Youquan, Zhang) mm/year BLUE= Uplift RED= Subsidence

?? ? Limitation of the traditional inverse method How to specify the number of zones ??? Where each zone is for each parameter ???

The objective of this investigation Observed land subsidence Observed drawdown APE (Adjoint Parameter Estimation) algorithm and UCODE Inversely Calibrate Hydrologic Parameters MODFLOW Automatically identify suitable parameter zonations

Objective function |h simulated -h observed | |sub simulated -sub observed | Minimize + h is the groundwater level sub is land subsidence

Estimated Transmissivity Zones after 3 Iterations True Synthetic Transmissivity Zones To verify the validity of the algorithm, a MODFLOW 2000 hypothetical model is developed, and the APE algorithm is executed to create approximate spatial zonations of T, S ske and S skv Note that the colors in each frame only indicate different zones and the colors (number of zones) change after each iteration

Estimated Specific Storage Zones after 3 Iterations True Synthetic Specific Storage Zones The estimated zonations approach the true parameter zonations

Observed vs. simulated (a) final drawdown, and (b) final subsidence.

Where do we go from here? Our next goal is to apply the APE algorithm to Las Vegas Valley to build a complete management model for water purveyors If necessary, global methods will be employed A parallel method will be incorporated

Conclusions An updated groundwater management model for Las Vegas Valley model is being developed. We have outlined an automated parameter estimation process that can greatly aid the calibration of ground water flow models like those of LVV. Accurate parameterization will provide a far more accurate and precise groundwater model that can be used to more accurately predict future trends on the basis of future pumping patterns.

Thanks!