Groundwater vulnerability mapping: A GIS and fuzzy rule based integrated tool

Applied Geography

Volumn 25, Issue 4, 2005, Pages 327-347

  Dixon, B ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Fuzzy logic; GIS; Groundwater sensitivity; Pesticides; Remote sensing

Indexed keywords

GIS; GROUNDWATER; MAPPING; PESTICIDE; REMOTE SENSING; WATER QUALITY;

EID: 27744540906     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2005.07.002     Document Type: Article

References (34)

1. Aller, L. T., Bennett, H. J. R., Lehr, R., Petty, J., & Hackett, G. (1987). DRASTIC: A standardized system for evaluating ground water pollution potential using geo-hydrogeologic settings. US Environmental Protection Agency Report. EPA600/2-EP87/036.
2. A. Bardossy & M. Disse Fuzzy rule-based models for infiltration Water Resources Research 29 2 1993 373-382
3. P.V. Bolstad & W.T. Swank Cumulative impacts of landuse on water quality in a southern appalachian watershed Journal of the American Water Resources Association 33 1997 519-534
4. Burrough, P. A. (1996). Opportunities and limitations of GIS-based modeling of solute transport at the regional scale. In application of GIS to the non-point source pollutants in the vadose zone, SSSA, Special Publication # 48, D. Corning and K. Loague eds., Madison, WI.
5. P.A. Burrough & R. McDonnell Principles of geographical information systems 1998 Oxford University Press New York p. 346
6. P.A. Burrough R.A. Macmillan & W. Van Deursen Fuzzy classification methods for determining land suitability from soil profile observations and topography Jounal of Soil Science 43 2 1992 193-210
7. E. Cameron & G.F. Peloso An application of fuzzy logic to the assessment of aquifers' pollution potential Environmental Geology 40 2001 1305-1315
8. L.D. Connell & G.V.D. Daele A quantitative approach to aquifer vulnerability mapping Journal of hydrology 276 71 2003 88
9. D.L. Corwin K. Loague & T.R. Ellsworth Introduction to non-point source pollution in the Vadose zone with advanced information technologies In D.L. Corwin K. Loague & T.R. Eliisworth (Eds.) Assessment of non-point source pollution in the Vadose zone Geophysical monograph vol. 108 1996 AGS Washington, DC
10. E. Cox The fuzzy systems handbook 1994 Academic Press London
11. Dixon, B., Scott, D. H. (20010. Application of Fuzzy Logic to Predict Ground Water Vulnerability in Northwest Arkansas. AWRC-USGS Report. MSC, 240.
12. Dixon, B., Scott, H. D., Dixon, J. C., & Steele, K. F. (2002). Prediction of aquifer vulnerability to pesticides using fuzzy rule-based models at the regional scale. Physical Geography, 23, in press.
13. C. Dou W. Wolt & I. Bogardi Fuzzy rule-based approach to describe solute transport in the unsaturated zone Journal of Hydrology 220 1-2 1999 74-85
14. Wyoming ground water vulnerability assessment handbook: Volume 2. Asssessing ground water vulnerability to pesticides In J.D. Hamerlinck & C.S. Arbeson (Eds.) Spatial data and visualization center publication SDVC 98-01-2 1998 University of Wyoming Laramie, Wyoming
15. A. Hong-Il & C. Hyo-Taek Assessment of groundwater contamination using geographic information systems Environmental Geochemistry and Health 21 1999 273-289
16. H.S. Lin & K.J. McInnes Water flow in clay soil beneath a tension infiltrometer Soil Science 159 1995 375-382
17. Lin, H. S., Scott, H. D., & McKimmey, J.M. (1996). Identification of optimal locations for sampling ground water for pesticides in the mississippi delta region of Eastern Arkansas. University of Arkansas: Arkansas Water Resources Center. MSC-185.
18. H.S. Lin K.J. McInnes L.P. Wilding & C.T. Hallmark Effects of soil morphology on hydraulic properties: I. quantification of soil morphology Soil Science Society of America Journal 63 948 1999 953
19. K. Loague & D. Corwin Regional scale assessment of non-point source ground water contamination Hydrological Processes 12 1998 957-965
20. Lowe, M., & Butler, M. (2003). Ground water sensitivity and vulnerability to pesticides, Heber and Round Vallyes, Wasatch County, Utah. Miscellaneous Publication 03-5, Utah Geological Survey.
21. B. Mitra H.D. Scott J.C. Dixon & J.M. McKimmey Application of fuzzy logic to the prediction of soils erosion in a large watershed Geoderma 86 1998 183-209
22. K. Numata General purpose fuzzy reasoning library 1991 Tokyo University Japan (Version 3.0)
23. V.L. Quisenberry B.R. Smith R.E. Phillips H.D. Scott & S. Nortcliff A soils classification system for describing water and chemical transport Soil Science 156 1993 306-315
24. H.F.R. Reijnders G. van Drecht H.F. Prins & L.J.M. Boumans The quality of the groundwater in the Netherlands Journal of Hydrology 207 1998 179-188
25. H.D. Scott P.A. Smith P. Spradley Using DRASTIC and pesticide usage to determine potential locations of pesticides in ground water in Arkansas 1992 Arkansas Association of Pesticide Applicators Fayetteville, AR
26. H.D. Scott Soil physics: Agricultural and environmental applications 2000 Iowa State University Press Ames, Iowa
27. D.Z. Sui A fuzzy GIS modeling approach for urban land evaluation Computers, Environment, and Urban Systems 16 2 1992 101-115
28. N. Tonmanee & N. Kanchanakool Agricultural diffuse pollution in Thailand Water Science and Technology 39 1999 61-66
29. F. Wang B. Hall & G. Subaryono Fuzzy information representation and processing in conventional GIS software: Database design and application International Journal of Geographical Information Systems 4 3 1990 261-283
30. J. Westervelt M. Shipiro & W. Goran GRASS: Geographical resources analysis support system 1989 US Army Corps of Engineers, Construction Engineering Research Laboratories Champaign, IL
31. J. Yen & R. Langaria Fuzzy Logic: Intelligence, control and information 1998 Prentice Hall New Jersey
32. A.L. Zadeh Fuzzy sets Information and Control 8 1965 338-353
33. L. Zhang S.G. Beavis & S.D. Gray Development of a spatial database for large-scale catchments management: Geology, soils, and landuse in the Namoi Basin, Australia Environment International 25 1999 853-860
34. Soil Survey Division, Natural Resources Conservation Service, United States Department of Agriculture. Official Soil Series Descriptions [Online WWW]. Available URL: 'http://ortho.ftw.nrcs.usda.gov/osd/' [Accessed 23 Mar 2001].