PRO-GRADE: GIS toolkits for ground water recharge and discharge estimation

Ground Water

Volumn 47, Issue 1, 2009, Pages 122-128

  Lin, Yu Feng ^a   Wang, Jihua ^b   Valocchi, Albert J ^b  

^a ILLINOIS STATE WATER SURVEY   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; DATA STORAGE EQUIPMENT; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER; HYDRAULICS; HYDROGEOLOGY; IMAGE PROCESSING; MATHEMATICAL MODELS; MODEL STRUCTURES; OPEN CHANNEL FLOW; OPTICAL PROJECTORS; PARAMETER ESTIMATION; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; USER INTERFACES; WATER WELLS;

BED-ROCKS; DISCHARGE ESTIMATIONS; ELEVATION DATUMS; EXPERT JUDGMENTS; FIELD STUDIES; GEOSPATIAL DATUMS; ILLINOISES; INITIAL CONDITIONS; MASS BALANCES; MODEL SELECTIONS; NUMERICAL SIMULATIONS; PROCESSING ALGORITHMS; SPATIAL PATTERNS; UNCERTAINTY EVALUATIONS; UNCONFINED AQUIFERS; UNITED STATES; WATER FLOW MODELS; WATER TABLES; WISCONSIN;

GROUNDWATER RESOURCES;

ALGORITHM; BEDROCK; DECISION MAKING; DISCHARGE; FLOW MODELING; GIS; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; HYDROGEOLOGY; IMAGE PROCESSING; MASS BALANCE; RECHARGE; UNCERTAINTY ANALYSIS; UNCONFINED AQUIFER; WATER TABLE;

ARTICLE; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEM; METHODOLOGY; THEORETICAL MODEL; WATER FLOW; WATER SUPPLY;

ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; MODELS, THEORETICAL; WATER MOVEMENTS; WATER SUPPLY;

EID: 58149250618     PISSN: 0017467X     EISSN: 17456584     Source Type: Journal    
DOI: 10.1111/j.1745-6584.2008.00503.x     Document Type: Article

References (22)

1. Banta, E.R., E.P. Poeter, J.E. Doherty, and M.C. Hill. 2006. JUPITER: Joint Universal Parameter Identification and Evaluation of Reliability - An application programming interface (API) for model analysis. U.S. Geological Survey Techniques and Methods Book 6, Section E, Chapter 1. Denver, Colorado : USGS.
2. Burke, B. 2003. Getting to Know ArcObjects: Programming ArcGIS with VBA, Updated for ArcGIS 9.1 and 9.2. Redlands, California : ESRI Press.
3. Chamberlin, T.C. 1890. The method of multiple working hypotheses. Science (old series) 15 : 92 96 reprinted 1965, 148 : 754 759.
4. Chan, T.F., and S. Esedoglu. 2005. Aspects of total variation regularized L1 function approximation. SIAM Journal on Applied Mathematics 65, no. 5 : 1817 1837.
5. Chen, T., W. Yin, X.S. Zhou, D. Comaniciu, and T.S. Huang. 2006. Total variation models for variable lighting face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, no. 9 : 1519 1524.
6. Cherkauer, D.S. 2004. Quantifying ground water recharge at multiple scales using PRMS and GIS. Ground Water 42, no. 1 : 97 110.
7. Consortium of Universities for the Advancement of Hydrologic Science Inc. Hydrologic Information System. http://www.cuahsi.org (accessed September 8, 2008).
8. de Dreuzy, J.-R., J. Bodin, H. Le Grand, P. Davy, D. Boulanger, A. Battais, O. Bour, P. Gouze, and G. Porel. 2006. General database for ground water site information. Ground Water 44, no. 5 : 743 748.
9. Deutsch, C.V., and A.G. Journel. 1998. GSLIB Geostatistical Software Library and User's Guide, 2nd ed. New York : Oxford University press.
10. Doherty, J. 2007. PEST: Model-Independent Parameter Estimation, User's Manual, 11th ed. Brisbane, Australia : Watermark Numerical Computing. http://www.sspa.com/Pest/download/pestman.pdf (accessed September 2, 2008).
11. Dripps, W.R., and K.R. Bradbury. 2007. A simple daily soilwater balance model for estimating the spatial and temporal distribution of groundwater recharge in temperate humid areas. Hydrogeology Journal 15, no. 3 : 433 444.
12. Harbaugh, A.W., E.R. Banta, M.C. Hill, and M.G. McDonald. 2000. MODFLOW-2000, the U.S. Geological Survey modular ground-water model - User guide to modularization concepts and the ground-water flow process. U.S. Geological Survey Open-File Report 00-92. Reston, Virginia : USGS.
13. Lin Y.-F., J. Wang, and A.J. Valocchi. 2008a. A new GIS approach for estimating shallow groundwater recharge and discharge. Transaction in GIS 12, no. 4 : 459 474.
14. Lin Y.-F., J. Wang, and A.J. Valocchi. 2008b. Making groundwater recharge and discharge estimate maps in one day: An ArcGIS 9.2 application for water resources research. ArcUser 11, no. 1. 32 35. http://www.esri.com/news/arcuser/ 0408/groundwater.html (accessed September 8, 2008).
15. Lin, Y.-F., and M.P. Anderson. 2003. A digital procedure for ground water recharge and discharge pattern recognition and rate estimation. Ground Water 41, no. 3 : 306 315.
16. Poeter, E.P., and D. Anderson. 2005. Multimodel ranking and inference in ground water modeling. Ground Water 43, no. 4 : 597 605.
17. Poeter, E.P., and M.C. Hill. 1998. Documentation of UCODE, a computer code for universal inverse modeling. U.S. Geological Survey Water-Resources Investigations Report 98-4080. Denver, Colorado : USGS.
18. Scanlon, B.R., R.W. Healy, and P.G. Cook. 2002. Choosing appropriate techniques for quantifying ground water recharge. Hydrogeology Journal 10 : 18 39.
19. Stoertz, M.W. 1989. A new method for mapping ground water recharge areas and for zoning recharge for an inverse model. Ph.D. thesis, University of Wisconsin-Madison.
20. Stoertz, M.W., and K.R. Bradbury. 1989. Mapping recharge areas using a ground water flow model - A case study. Ground Water 27, no. 2 : 220 228.
21. Ye, M., K.F. Pohlmann, and J.B. Chapman. 2008. Expert elicitation of recharge model probabilities for the Death Valley regional flow system. Journal of Hydrology 354, no. 1-4, 102 115.
22. 1 model. Bioinformatics 21, no. 10 : 2410 2416.