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 JWARP  Vol.9 No.3 , February 2017
A Simplified Method for the Assessment of Groundwater Vulnerability to Contamination
Abstract: In this study, an attempt was made to develop a new simplified groundwater vulnerability to contamination index (SGVI). Nine experts in the fields of groundwater, surface water, soil, landuse and GIS were interviewed to develop the new index. They were asked to agree on new parameters that could be used to investigate groundwater vulnerability. Data about such parameters must be affordable and inexpensive. Subsurface parameters were excluded due to the fact that most researchers might not have adequate data about them. The experts agreed that depth to groundwater, soil texture, lineament density, rainfall, topographic slope, drainage density and landuse/land cover parameters should be included in the new vulnerability index. The experts were also asked to give a weight and the ratings for each parameter. The weights given by the experts were subjected to AHP analysis to determine the exact weight for each parameter. An area of 3200 km2 in the northern part of Jordan was selected to test the SGVI. The final map of the SGVI showed that most of the area (more than 96%) had moderate-low and moderate-high vulnerability to contamination. The new index was also subjected to statistical analysis, map removal test and map removal sensitivity analysis. The outcomes of these analyses showed that the new index was applicable and could be used in areas where subsurface data was limited or not available.
Cite this paper: Al-Adamat, R. and Al-Shabeeb, A. (2017) A Simplified Method for the Assessment of Groundwater Vulnerability to Contamination. Journal of Water Resource and Protection, 9, 305-321. doi: 10.4236/jwarp.2017.93020.
References

[1]   Murray, K.S. and Rogers, D.T. (1999) Groundwater Vulnerability, Brownfield Redevelopment and Land Use Planning. Journal of Environmental Planning and Management, 42, 801-810.
https://doi.org/10.1080/09640569910830

[2]   Evans, T.A. and Maidment, D.R. (1995) A Spatial and Statistical Assessment of the Vulnerability of Texas Groundwater to Nitrate Contamination. Center for Research in Water Resources, Bureau of Engineering Research, Doctoral dissertation, University of Texas, Austin.

[3]   NRC (National Research Council) (1993) Ground Water Vulnerability Assessment: Contamination Potential under Conditions of Uncertainty. National Academy Press, Washington DC.

[4]   Aller, L., Lehr, J.H., Petty, R. and Bennett, T. (1987) DRASTIC—A Standardized System to Evaluate Groundwater Pollution Potential Using Hydrogeologic Setting. Journal of the Geological Society of India, 29, 23-37.

[5]   Evans, B.M. and Myers, W.L. (1990) A GIS-Based Approach to Evaluating Regional Groundwater Pollution Potential with DRASTIC. Journal of Soil and Water Conservation, 45, 242-245.

[6]   Stark, S.L., Nuckols, J.R. and Rada, J. (1999) Using GIS to Investigate Septic System Sites and Nitrate Pollution Potential. Journal of Environmental Health, 61, 15-20.

[7]   Fritch, T.G., et al. (2000) An Aquifer Vulnerability Assessment of the Paluxy Aquifer, Central Texas, USA, Using GIS and a Modified DRASTIC Approach. Environmental Management, 25, 337-345.
https://doi.org/10.1007/s002679910026

[8]   Piscopo, G. (2001) Groundwater Vulnerability Map, Explanatory Notes. Castlereagh Catchment, NSW Department of Land and Water Conservation, Wagga.
http://www.water.nsw.gov.au/__data/assets/pdf_file/0008/549377/
quality_groundwater_castlereagh_map_notes.pdf


[9]   Al-Adamat, R.A., Foster, I.D. and Baban, S.M. (2003) Groundwater Vulnerability and Risk Mapping for the Basaltic Aquifer of the Azraq Basin of Jordan Using GIS, Remote Sensing and DRASTIC. Applied Geography, 23, 303-324.
https://doi.org/10.1016/j.apgeog.2003.08.007

[10]   Abdullah, T., Ali, S. and Al-Ansari, N. (2016) Assessing the Vulnerability of Groundwater to Pollution Using DRASTIC and VLDA Modelsin Halabja Saidsadiq Basin, NE, Iraq. Journal of Civil Engineering and Architecture, 10, 1144-1159.

[11]   Abdullah, T., Ali, S., Al-Ansari, N. and Knutsson, S. (2016) Groundwater Vulnerability Using DRASTIC and COP Models: Case Study of Halabja Saidsadiq Basin, Iraq. Engineering, 8, 741-760.
https://doi.org/10.4236/eng.2016.811067

[12]   Foster, S. (1987) Fundamental Concepts in Aquifer Vulnerability, Pollution Risk and Protection Strategy: International Conference, 1987, Noordwijk Aan Zee, the Netherlands Vulnerability of Soil and Groundwater to Pollutants. Netherlands Organization for Applied Scientific Research, The Hague, 69-86.

[13]   Neukum, C. and Hotzl, H. (2007) Standardization of Vulnerability Maps. Environmental Geology, 51, 689-694.

[14]   Alvarado, A., Esteller, M.V., Quentin, E. and Expósito, J.L. (2016) Multi-Criteria Decision Analysis and GIS Approach for Prioritization of Drinking Water Utilities Protection Based on Their Vulnerability to Contamination. Water Resources Management, 30, 1549-1566.
https://doi.org/10.1007/s11269-016-1239-4

[15]   Doerfliger, N., Jeannin, P. and Zwahlen, F. (1999) Water Vulnerability Assessment in Karst Environments: A New Method of Defining Protection Areas Using a Multi-Attribute Approach and GIS Tools (EPIK Method). Environmental Geology, 39, 165-176. https://doi.org/10.1007/s002540050446

[16]   Vias, J., Andreo, B., Perles, M. and Carrasco, F. (2005) A Comparative Study of Four Schemes for Groundwater Vulnerability Mapping in a Diffuse Flow Carbonate Aquifer under Mediterranean Climatic Conditions. Environmental Geology, 47, 586-595.
https://doi.org/10.1007/s00254-004-1185-y

[17]   Hamdan, I., Margane, A., Ptak, T., Wiegand, B. and Sauter, M. (2016) Groundwater Vulnerability Assessment for the Karst Aquifer of Tanour and Rasoun Springs Catchment Area (NW-Jordan) Using COP and EPIK Intrinsic Methods. Environmental Earth Sciences, 75.
https://doi.org/10.1007/s12665-016-6281-2

[18]   Corniello, A., Ducci, D. and Monti, G.M. (2004) Aquifer Pollution Vulnerability in the Sorrento Peninsula, Southern Italy Evaluated by SINTACS Method. Geofisica Internacional-Mexico, 43, 575-581.

[19]   Kumari, S., Jha, R., Singh, V., Baier, K. and Sinha, M.K. (2016) Groundwater Vulnerability Assessment Using SINTACS Model and GIS in Raipur and Naya Raipur, Chhattisgarh, India. Indian Journal of Science and Technology, 9, 1-6.

[20]   Al-Shatnawi, A.M., El-Bashir, M.S., Khalaf, R.M.B. and Gazzaz, N.M. (2016) Vulnerability Mapping of Groundwater Aquifer Using SINTACS in Wadi Al-Waleh Catchment, Jordan. Arabian Journal of Geosciences, 9, 67.
https://doi.org/10.1007/s12517-015-2080-4

[21]   Goldscheider, N., Klute, M., Sturm, S. and Hotzl, H. (2000) The PI Method—A GIS-Based Approach to Mapping Groundwater Vulnerability with Special Consideration of Karst Aquifers. Zeitschrift für Angewandte Geologie, 46, 157-166.

[22]   Daly, D., Dassargues, A., Drew, D., Dunne, S., Goldscheider, N., Neale, S., Popescu, I. and Zwahlen, F. (2002) Main Concepts of the “European Approach” to Karst-Groundwater-Vulnerability Assessment and Mapping. Hydrogeology Journal, 10, 340-345.
https://doi.org/10.1007/s10040-001-0185-1

[23]   Goldscheider, N. and Popescu, I. (2004) The European Approach. Vulnerability and Risk Mapping for the Protection of Carbonate (Karst) Aquifers. Final Report COST Action, 620, 17-21.

[24]   Saaty, T.L. (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. Mcgraw-Hill, New York.

[25]   Saaty, T.L. (1990) How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48, 9-26.
https://doi.org/10.1016/0377-2217(90)90057-I

[26]   Malczewski, J. (1996) A GIS-Based Approach to Multiple Criteria Group Decision Making. International Journal of Geographical Information Systems, 10, 955-971.
https://doi.org/10.1080/02693799608902119

[27]   Saaty, T. and Vargas, L.L.G. (2001) Models, Methods, Concepts, and Applications of the Analytic Hierarchy Process. Kluwer Academic Publishers, Dordrecht.

[28]   Saaty, T.L. (1977) A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 15, 234-281.
https://doi.org/10.1016/0022-2496(77)90033-5

[29]   Lodwick, W.A., Monson, W. and Svoboda, L. (1990) Attribute Error and Sensitivity Analysis of Map Operations in Geographical Information Systems: Suitability Analysis. International Journal of Geographical Information Systems, 4, 413-428.
https://doi.org/10.1080/02693799008941556

 
 
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