Incorporation of Magnetic Resonance Sounding data into groundwater models through coupled and joint inversion 8th Annual Meeting of DWRIP 2014 JANUARY.

Slides:



Advertisements
Similar presentations
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.
Advertisements

Getahun Wendmkun Adane March 13,2014 Groundwater Modeling and Optimization of Irrigation Water Use Efficiency to sustain Irrigation in Kobo Valley, Ethiopia.
Kyle Withers University of Arizona Acknowledgements: James Callegary USGS Space Grant Symposium April 18, 2009 Using Geophysical and GIS Methods to Develop.
Groundwater Flow Model of the Southern Willamette Valley Groundwater Management Area Jeremy Craner and Roy Haggerty Department of Geosciences.
Jang Cheng-Shing and Cheng-Wuing Liu, Hydrol. Process. 18, (2004) Adviser : Jui-Sheng Chen and Cheng-Shing Jang Presenter : Wei-Jie Wang 1.
Boundaries and Superposition
The Caveat: Hydrology Complex Site specific Difficult to accurately quantify More questions than answers.
Aspects of Conditional Simulation and estimation of hydraulic conductivity in coastal aquifers" Luit Jan Slooten.
(e.g., the Toth Problem) z x z x h = c x + z o Profile Models.
I DENTIFICATION OF main flow structures for highly CHANNELED FLOW IN FRACTURED MEDIA by solving the inverse problem R. Le Goc (1)(2), J.-R. de Dreuzy (1)
The Calibration Process
Watershed Hydrology, a Hawaiian Prospective; Groundwater Ali Fares, PhD Evaluation of Natural Resource Management, NREM 600 UHM-CTAHR-NREM.
GLY 521- Hydrogeology Modflow Packages. Block Center Flow (BCF) Package The BCF package is the central package for all solutions Specify the way each.
Dr. Martin T. Auer Michigan Tech Department of Civil & Environmental Engineering Water Supply.
A Discussion of Groundwater Modeling and Climate Change By Leslie Llado.
Application of Stage IV Precipitation Data to Estimate Spatially Variable Recharge for a Groundwater Flow Model Heather Moser Mentor: Dr. William Simpkins.
ESS 454 Hydrogeology Module 2 Properties of Materials Basic Physics Darcy’s Law Characteristics of Aquifers Elasticity and Storage Instructor: Michael.
Impact of Climate Change on Flow in the Upper Mississippi River Basin
A stepwise approximation for estimations of multilevel hydraulic tests in heterogeneous aquifers PRESENTER: YI-RU HUANG ADVISOR: CHUEN-FA NI DATE:
Groundwater Modeling – 2: Computer Implementation
IV. Sensitivity Analysis for Initial Model 1. Sensitivities and how are they calculated 2. Fit-independent sensitivity-analysis statistics 3. Scaled sensitivities.
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.
Groundwater Modeling Study case : Central Plain of Thailand
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.
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.
A More Accurate and Powerful Tool for Managing Groundwater Resources and Predicting Land Subsidence: an application to Las Vegas Valley Zhang, Meijing.
Water – Supply & Use. Groundwater –Vadose zone (formerly known as the unsaturated zone) –Zone of saturation or water table –Capillary fringe –In general,
Modes of Sustainability Definition  In text  In aquifer-storage terms  In water-budget terms  In physical changes at the river (natural side)
Final Project Summary of Results & Conclusions. Generally predicted ARM at targets > Calibrated ARM Generally, predicted ARM at pumping wells > Predicted.
General governing equation for steady-state, heterogeneous, anisotropic conditions 2D Laplace Eqn. --Homogeneous and isotropic aquifer without a sink/source.
Groundwater All water found underground, frequently in: Joints and cracks in rocks Open space between sediment grains.
Aquifers 101 Robert E. Mace Texas Water Development Board Groundwater 101 November 10, 2010.
Estimating Groundwater Recharge in Porous Media Aquifers in Texas Bridget Scanlon Kelley Keese Robert Reedy Bureau of Economic Geology Jackson School of.
CE 3354 Engineering Hydrology Lecture 21: Groundwater Hydrology Concepts – Part 1 1.
Regularised Inversion and Model Predictive Uncertainty Analysis.
Calibration & Sensitivity Analysis. Head measured in an observation well is known as a target. Baseflow measurements or other fluxes (e.g., ET) are also.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department EENV 5326 Groundwater Modeling.
CE 3354 Engineering Hydrology
Louisiana Department of Environmental Quality Risk Evaluation/Corrective Action Program (RECAP)
IX. Transient Forward Modeling. Ground-Water Management Issues Recall the ground-water management issues for the simple flow system considered in the.
Groundwater Introduction Ms. Zulick January 12, 2015.
Groundwater Systems D Nagesh Kumar, IISc Water Resources Planning and Management: M8L3 Water Resources System Modeling.
Flow to Wells - 1 Groundwater Hydraulics Daene C. McKinney.
Figure 1. Model Domain (Approximately 6 miles x 6 miles) Approx. 1-mile Proposed PEC Facility N.
Well 30 Modeling. Model Grid and Setup Well 30 Well 31 Well 27 Well UC-H2.
Objective: conceptual model definition and steady state simulation of groundwater flow.
Building Transient MODFLOW Models
Test Rules Answer all questions. Please answer on separate sheets of paper. Reference material. You may refer to one 8.5 x 11 inch page of notes, hand.
AUTOMATED PARAMETER ESTIMATION Model Parameterization, Inverse Modeling, PEST.
Groundwater Modeling Assignment #2. Parts A and B.
Groundwater Learning objectives
Principles of Groundwater Flow
Lauren Schneider CE394K.2 Surface Water Hydrology Dr. Maidment 4/28/05
The Calibration Process
Chapter 6 Calibration and Application Process
Aquifers and Groundwater flow
Electrical Resistivity Survey of Yosemite Valley, CA
Test 1 Review Chapter 1, Hydrologic cycle and the water balance
Water Table: is the level at which the groundwater pressure is equal to atmospheric pressure. Aquitard: is a zone within the earth that restricts.
Incorporating Initial Conditions Model Calibration Process
GIS – BASED DRASTIC MODEL FOR ASSESSING
Water Table: is the level at which the groundwater pressure is equal to atmospheric pressure. Aquitard: is a zone within the earth that restricts.
Chapter 5 Sources and Sinks
2New Jersey Department of Environmental Protection
Presentation transcript:

Incorporation of Magnetic Resonance Sounding data into groundwater models through coupled and joint inversion 8th Annual Meeting of DWRIP 2014 JANUARY 30 T.N. Vilhelmsen, A.A. Behroozmand, S. Christensen, E. Auken, and A.V. Christiansen

Coupled vs. Joint inversion (MRS and groundwater model) Mapping the groundwater table using MRS Results from coupled inversion tests (synthetic model) Perspectives for 3d joint inversion Outline

Coupled inversion Tight link directly through model forward responses Here: Groundwater flow model is used to simulate the thickness of the upper layer in an MRS model (unsaturated zone) Joint vs. coupled inversion Joint inversion Inversion setup is linked through shared parameter characteristics Here: Transmissivity derived from MRS (using petrophysical relation) is linked to transmissivity in a hydrological model (through regularization)

Coupled inversion using MRS Layer 1 w,T 2 *,lt. Layer 2 w,T 2 *,lt. Layer 3 w,T 2 *,lt. MRS model: Simulated by groundwater model

The test model After: Hill, et al., Two aquifers separated by an aquitard -Two recharge zones -Well pumping from lower aquifer -Flow in from adjoining hill side -Flow out through river -Model observations generated using heterogeneous parameter fields

Reference model (50 realiazations): -Heterogeneous k-fields (calculated from water content and decay time fields) -10 head obs. -1 river discharge obs. -1 MRS sounding (located at prediction point)

PEST The inversion setup: Groundwater model parameter files: -Hydraulic conductivity zones -River bed conductance -Recharge Geophysical model parameter files: -Holds all geo. phys. par. Except for layer 1 thick (unsaturated zone) Groundwater model (MODFLOW-2005) -Simulated heads -Simulated river flow Geophysical model (AarhusInv) -Simulated MRS resp. -Simulated TEM resp. Thickness of unsat. zone

GF onlyGWM onlySequentialCoupled Mean pred. Error m3.73 m3.20 m1.12 m Pred. error var m m m m 2 Inversion results (50 models) -Error variance similar / mean error larger -Independent geophysical inversion cannot improve groundwater model prediction Goal: Achieve the most accurate prediction of head at MRS location

3d joint inversion of MRS and groundwater models Goal: -Use MRS to improve estimate of hydraulic conductivity heterogeneity in groundwater flow models -Estimate parameters pertaining to the petrophysical relation together with MRS/TEM and hydrological parameters using a regularized coupling

The joint inversion methodology PEST Hydrological parameters Groundwater model Hydrological simulation Hydrological data Geophysical parameters Geophysical model Geophysical simulation Geophysical data

The joint inversion methodology PEST Hydrological parameters Groundwater model Hydrological simulation Hydrological data Geophysical parameters Geophysical model Geophysical simulation Geophysical data Petrophysical relation Petrophysical relation: T mrs = [C p * w a * (T 2 *) 2 ]*lt

Ristrup well field

MRS sounding

Ristrup well field MRS sounding

Coupled inversion Can reduce head prediction error Will only work for unconfined conditions Will be most applicable in remote areas with limited (hydrological) data coverage Joint inversion Expected to increase resolution of hydraulic conductivity inhomogeneity Setup tested and works for a 2d case Using joint inversion MRS can be linked to several types of hydrological data (not only aquifer tests) Perspectives and conclusions