Groundwater vulnerability assessment using an improved DRASTIC method in GIS

Resources, Conservation and Recycling

Volumn 86, Issue , 2014, Pages 74-86

  Neshat, Aminreza ^a   Pradhan, Biswajeet ^a   Dadras, Mohsen ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

AHP; DRASTIC model; GIS; Hydrogeology; Iran; Kerman plain

Indexed keywords

ANALYTIC HIERARCHY PROCESS; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER; HYDROGEOLOGY; WATER MANAGEMENT;

AHP; ANALYTIC HIERARCHY PROCESS (AHP); DRASTIC MODEL; GROUNDWATER VULNERABILITY ASSESSMENTS; IRAN; KERMAN PLAIN; NON-PARAMETRIC STATISTICAL TESTS; NON-POINT SOURCE POLLUTION;

HIERARCHICAL SYSTEMS;

GROUND WATER;

ANALYTICAL HIERARCHY PROCESS; ASSESSMENT METHOD; CONCENTRATION (COMPOSITION); GIS; GROUNDWATER POLLUTION; HYDROGEOLOGY; NITRATE; NONPOINT SOURCE POLLUTION;

ARTICLE; CALCULATION; COMPARATIVE STUDY; CONTROLLED STUDY; CORRELATION COEFFICIENT; DRASTIC METHOD; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL PARAMETERS; GEOGRAPHIC INFORMATION SYSTEM; IRAN; STATISTICAL ANALYSIS; VALIDITY; WATER MANAGEMENT; WATER POLLUTION; WATER SUPPLY;

IRAN; KERMAN [IRAN];

EID: 84896501162     PISSN: 09213449     EISSN: 18790658     Source Type: Journal    
DOI: 10.1016/j.resconrec.2014.02.008     Document Type: Article

References (53)

1. Afshar AI, Marino MA, Asce HM, Ebtehaj M, Moosavi J. Rule based fuzzy, systemfor assessing groundwater vulnerability. Journal of Environmental Engineering 2007;133(5):532-40. (Pubitemid 47202602)
2. Al-Adamat RAN, Foster IDL, Baban SNJ. Groundwater vulnerability and risk mappingfor the Basaltic aquifer of the Azraq basin of Jordan using GIS, remote sensingand DRASTIC. Applied Geography 2003;23(4):303-24. (Pubitemid 37470940)
3. Aller L, Bennet T, Lehr JH, Petty RJ, Hacket G. DRASTIC: a standardized system for evaluating groundwater pollution using hydrological settings. Ada, OK, USA: Prepared by the National Water Well Association for the US EPA Office of Research and Development; 1985.
4. Aller L, Bennet T, Lehr JH, Petty RJ, Hackett G. DRASTIC: a standardized system for evaluating groundwater pollution potential using hydrogeological settings. In: EPA/600/2-87/035. Ada, OK, USA: US EPA; 1987.
5. Althuwaynee OF, Pradhan B, Park HJ, Lee JH. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping. Catena 2014;114:21-36, http://dx.doi.org/10.1016/j. catena.2013.10.011.
6. Anane M, Bouziri L, Limam A, Jellali S. Ranking suitable sites for irrigation with reclaimed water in the Nabeul-Hammamet region (Tunisia) using GIS and AHP-multicriteria decision analysis. Resources, Conservation and Recycling2012;65:36-46.
7. Antonakos AK, Lambrakis NL. Development and testing of three hybrid methods for assessment of aquifer vulnerability to nitrates, based on the DRASTIC model, an example from NE Korinthia, Greece. Journal of Hydrology 2007;333(2-4):288-304. (Pubitemid 46053960)
8. Babiker IS, Mohammed MAA, Hiyama T, Kato K. A GIS-based DRATIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Science of the Total Environment 2005;345(1):127-40. (Pubitemid 40779227)
9. Bojórquez-Tapia LA, Cruz-Bello GM, Luna-González L, Juárez L, Ortiz-Pérez MA. V-DRASTIC: using visualization to engage policymakers in groundwater vulnerability assessment. Journal of Hydrology 2009;373(1):242-55.
10. Boran FE, Genç S, Kurt M, Akay D. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications 2009;36(8):11363-8.
11. Carvalho GJP, Pacheco FAL. Análise da vulnerabilidade à contaminação das águas subterrâneas na bacia hidrográfica do Rio Sordo (Vila Real) pelo método fuzzy-DRASTIC. Recursos Hídricos 2009;31(1):65-76.
12. Chen CF. Applying the analytical hierarchy process (AHP) approach to convention site selection. Journal of Travel Research 2006;45(2):167-74.
13. Ckakraborty S, Paul PK, Sikdar PK. Assessing aquifer vulnerability to arsenic pollution using DRASTIC and GIS of North Bengal Plain: a case study of English Bazar Block, Malda District, West Bengal, India. Journal of Spatial Hydrology 2007;7(1):101-2.
14. Contreras F, Hanaki K, Aramaki T, Connors S. Application of analytical hierarchy process to analyze stakeholders preferences for municipal solid waste management plans: Boston, USA. Resources, Conservation and Recycling 2008;52(7):979-91. (Pubitemid 351657674)
15. Denny SC, Allen DM, Journeay JM. DRASTIC-Fm: a modified vulnerability mapping method for structurally controlled aquifers in the southern Gulf Islands, British Columbia, Canada. Hydrogeology Journal 2007;15(3):483-93. (Pubitemid 46681531)
16. Dixon B. Groundwater vulnerability mapping: a GIS and fuzzy rule based integrated tool. Applied Geogrophy 2005;25(4):327-47. (Pubitemid 41600435)
17. Evans BM, Myers WL. A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC. Journal of Soil and Water Conservation 1990;45(2):242-5.
18. Fritch TG, McKnight CL, Yelderman JC, Arnold JG. Environmental auditing: an aquifer vulnerability assessment of the Paluxy aquifer, Central Texas, USA, using GIS and a modified DRASTIC approach. Journal of Environmental Management2000;25(3):337-45. (Pubitemid 30075565)
19. Nobre R, Rotunno Filho O, Mansur W, Nobre M, Cosenza C. Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. Journal of Contaminant Hydrology 2007;94(3):277-92. (Pubitemid 350064534)
20. Guo O, Wnag Y, Gao X, Ma T. A new model (DRARCH) for assessing groundwater vulnerability to arsenic contamination at basin scale: a case study in Taiyuan basin, northern China. Environmental Geology 2007;52(5):923-32. (Pubitemid 46640501)
21. Hamza MH, Added A, Rodríguez R, Abdeljaoued S, Mammou AB. A GIS-based DRASTIC vulnerability and net recharge reassessment in an aquifer of a semi-arid region (Metline-Ras Jebel-RafRaf aquifer, Northern Tunisia). Journal of Environmental Management 2007;84:12-9. (Pubitemid 46437976)
22. Huan H, Wang J, Teng Y. Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case studyin Jilin City of northeast China. Science of the Total Environ 2012., http://dx.doi.org/10.1016/j.scitotenv.2012.08.037, Accepted 4 August.
23. Javadi S, Kavehkar N, Mohammadi K, Khodadi A, Kahawita K. Calibration DRASTIC using field measurements, sensitivity analysis and statistical method to assess groundwater vulnerability. Water International 2011;36(6):719-32.
24. Kim YJ, Hamm S. Assessment of the potential for groundwater contamination using the DRASTIC/EGIS technique, Cheongju area, South Korea. Hydrogeology Journal 1999;7(2):227-35. (Pubitemid 129636103)
25. Lee WB, Lau H, Liu Z, Tam S. A fuzzy analytical hierarchy process in modular product design. Expert Systems 2001;18:32-42.
26. Leone A, Ripa MN, Uricchio V, Deák J, Vargay Z. Vulnerability and risk evaluation of agricultural nitrogen pollution for Hungary's main aquifer using DRASTIC and GLEAMS models. Journal of Environmental Management 2009;90(10):2969-78.
27. Lobo-Ferreira JP, Oliveira MM. DRASTIC groundwater vulnerability mapping of Portugal, groundwater: an endangered resource. In: Proceedings of the 27th congress of the International Association for Hydraulic Research; 1997. p. 132-7.
28. McLay CDA, Dragten R, Sparling G, Selvarajah N. Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. Environmental Pollution 2001;115(2):191-204. (Pubitemid 32846615)
29. Neshat AR, Pradhan B, Pirasteh S, Shafri HZM. Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran. Environmental Earth Science 2013:1-13, http://dx.doi.org/10.1007/s12665-013-2690-7.
30. Pacheco FAL, Sousa Oliveira A, Alencoão AMP, Ribeiro IC, Faria MJ. Avaliação da vulnerabilidade à contaminação de águas subterrâneas pelo método DRASTIC na bacia hidrográfica do Rio Sordo. In: 7 Congresso da Água:Água- Qualidade de Toda a Vida; 2004. p. 31 (extended abstracts in CD, 12p).
31. Pacheco FAL, SanchesFernandes LF. The multivariate structure of DRASTIC model. Journal of Hydrology 2012;11:20, http://dx.doi.org/10.1016/jhydrol.
32. Panagopoulos GP, Antonakos AK, Lambrakis NJ. Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeology Journal 2006;14:894-911. (Pubitemid 44514903)
33. Pathak DR, Hiratsuka A. An integrated GIS based fuzzy pattern recognition model to compute groundwater vulnerability index for decision making. Journal of Hydro-environment Research 2011;5:63-77.
34. Pires A, Chang NB, Martinho G. An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setúbal Peninsula: Portugal. Resources, Conservation and Recycling 2011;56(1):7-21.
35. Pourghasemi HR, Pradhan B, Gokceoglu C. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed: Iran. Natural Hazards 2012;63(2):965-96.
36. Pradhan B. Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Central European Journal of Geoscience 2009;1(1):120-9.
37. Rahman A. A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Applied Geography 2008;28:32-53.
38. Remesan R, Panda RK. Groundwater vulnerability assessment, risk mapping, and nitrate evaluation in a small agricultural watershed: using the DRASTIC model and GIS. Environmental Quality Management 2008;5(4):53-75. (Pubitemid 351898400)
39. Rupert MG. Calibration of the DRASTIC ground water vulnerability mapping method. Groundwater 2001;39(4):625-30. (Pubitemid 32632500)
40. Rupert MG. Improvements to the DRASTIC groundwater vulnerability mapping method. In: USGS. Denver: USGS; 1999, 066-99.
41. Saaty TL. The analytic hierarchy process. New York, NY, USA: MaGraw-Hill; 1980.
42. Saidi S, Bouria S, Dhiaa HB, Anselmeb B. Assessment of groundwater risk using intrinsic vulnerability and hazard mapping: application to Souassi aquifer, Tunisian Sahel. Agricultural Water Management 2011;98:1671-82.
43. Sener E, Davraz A. Assessment of groundwater vulnerability based on a modified DRASTIC model, GIS and an analytic hierarchy process (AHP) method: the case of Egirdir Lake basin (Isparta, Turkey). Hydrogeology Journal 2013:1-14.
44. Thirumalaivasan D, Karmegam M, Venugopal K. AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environmental Modelling and Software 2003;18(7):645-56. (Pubitemid 36872770)
45. Thirumalaivasan D, Karmegam M. Aquifer vulnerability assessment using analytic hierarchy process and GIS for upper Palar watershed. In: Paper presented at the 22nd Asian conference on remote sensing; 2001.
46. Tilahun K, Merkel BJ. Assessment of groundwater vulnerability to pollution in Dire Dawa: Ethiopia using DRASTIC. Environmental Earth Science 2010;59(7):1485-96.
47. Wang J, He J, Chen H. Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China. Science of Total Environment 2012;432:216-26.
48. Wang JJ, Yang DL. Using a hybrid multi-criteria decision aid method for information systems outsourcing. Computers & Operation Research 2007;34:3691-700.
49. Wilcoxon F. Individual comparisons by ranking methods. Biometrics Bulletin 1945;1:80-3.
50. Hailin You, Ligang Xu, Chang Ye, Jiaxing Xu. Evaluation of groundwater vulnerability with improved DRASTIC method. Procedia Environmental Sciences 2011;10:2690-5.
51. Youssef MA, Pradhan B, Tarabees E. Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: contribution from the analytic hierarchy process. Arabian Journal of Geosciences 2011;4:463-73, http://dx.doi.org/10.1007/s12517-009-0118-1.
52. Yuksel I, Dagdeviren M. Using the analytic network process (ANP) in a SWOT analysis. A case study for a textile firm. Journal of Information Science 2007;177:3364-82. (Pubitemid 46823979)
53. Zhong-Wu L, Guang-Ming Z, Hua Z, Bin Y, Sheng J. The integrated eco-environment assessment of the red soil hilly region based on GIS-a case study in Changsha City, China. Ecological Modelling 2006;202:540-6.