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Environmental Earth Sciences

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01.05.2016 | Original Article

Assessment of the effectiveness of DRASTIC in predicting the vulnerability of groundwater to contamination: a case study from Fatehgarh Sahib district in Punjab, India

verfasst von: Prashant Kumar, Praveen K. Thakur, Baban K. S. Bansod, Sanjit K. Debnath

Erschienen in: Environmental Earth Sciences | Ausgabe 10/2016

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Abstract

The quality of groundwater has been declining in the Fatehgarh Sahib district of Punjab, India, over the last decade due to the enormous increase in the number of tube wells for the agricultural activities. The vulnerability of groundwater to contamination in the district was assessed using the DRASTIC model. Validation of vulnerable zones was undertaken using the chemical analysis of groundwater samples from the district. Based on this investigation, the inherent problems associated with the DRASTIC model are discussed as potential measures to improve the assessment of groundwater vulnerability.

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Aller L, Bannet T, Lehar JH, Petty R (1987) Drastic: a standardized system to evaluate ground water pollution potential using hydrogeologic settings. National Water Well Association Worthington, Ohio

Babiker IS, Mohamed MAA, Hiyama T, Kato K (2005) A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. Sci Total Environ 345(1–3):127–140CrossRef

Duarte L, Teodoro AC, Gonçalves JA, Guerner Dias AJ, Espinha Marques J (2015) A dynamic map application for the assessment of groundwater vulnerability to pollution. Environ Earth Sci 74(3):2315–2327CrossRef

Ghosh A, Tiwari A, Das S (2015) A GIS based DRASTIC model for assessing groundwater vulnerability of Katri Watershed, Dhanbad, India. Model Earth Syst Environ 1(3):1–14CrossRef

Gogu RC, Dassargues A (2000) Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods. Environ Geol 39(6):549–559CrossRef

Jang C-S, Lin C-W, Liang C-P, Chen J-S (2016). Developing a reliable model for aquifer vulnerability. Stoch Environ Res Risk Assess 30(1):175–187CrossRef

Javadi S, Kavehkar N, Mousavizadeh M, Mohammadi K (2010) Modification of DRASTIC model to map groundwater vulnerability to pollution using nitrate measurements in agricultural areas. J Agric Sci Technol 13:239–249

Kaliraj S, Chandrasekar N, Peter TS, Selvakumar S, Magesh NS (2014) Mapping of coastal aquifer vulnerable zone in the south west coast of Kanyakumari, South India, using GIS-based DRASTIC model. Environ Monit Assess 187(1):1–27

Kardan Moghaddam H, Jafari F, Javadi S (2015). Evaluation vulnerability of coastal aquifer via GALDIT model and comparison with DRASTIC index using quality parameters. Hydrol Sci J (Accepted for publication)

Kazakis N, Voudouris KS (2015) Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: modifying the DRASTIC method using quantitative parameters. J Hydrol 525:13–25CrossRef

Khodabakhshi N, Asadollahfardi G, Heidarzadeh N (2015) Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht. Water Sci Technol: Water Supply 15(4):784–792

Kumar P, Bansod BKS, Debnath SK, Thakur PK, Ghanshyam C (2015) Index-based groundwater vulnerability mapping models using hydrogeological settings: a critical evaluation. Environ Impact Assess Rev 51:38–49CrossRef

Lavoie R, Joerin F, Vansnick J-C, Rodriguez MJ (2015) Integrating groundwater into land planning: a risk assessment methodology. J Environ Manage 154:358–371CrossRef

Ministry of MSME, G. o. I. (2011). Brief Industrial Profile Of District FATEHGARH SAHIB. S. M. E. D. I. Micro, Govt. of India, Ministry of MSME. Ludhaian

Neshat A, Pradhan B, Pirasteh S, Shafri H (2014) Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran. Environ Earth Sci 71(7):3119–3131CrossRef

Neshat A, Pradhan B, Javadi S (2015) Risk assessment of groundwater pollution using Monte Carlo approach in an agricultural region: an example from Kerman Plain, Iran. Comput Environ Urban Syst 50:66–73CrossRef

Pacheco FAL, Pires LMGR, Santos RMB, Sanches Fernandes LF (2015) Factor weighting in DRASTIC modeling. Sci Total Environ 505:474–486CrossRef

Panagopoulos G, Antonakos A, Lambrakis N (2006) Optimization of the DRASTIC method for groundwater vulnerability assessment via the use of simple statistical methods and GIS. Hydrogeol J 14(6):894–911CrossRef

Park YH, Doh SJ, Yun ST (2007) Geoelectric resistivity sounding of riverside alluvial aquifer in an agricultural area at Buyeo, Geum River watershed, Korea: an application to groundwater contamination study. Environ Geol 53(4):849–859CrossRef

Pathak DR, Hiratsuka A (2011) An integrated GIS based fuzzy pattern recognition model to compute groundwater vulnerability index for decision making. J Hydro-environ Res 5(1):63–77CrossRef

Pórcel RAD, Schüth C, De León-Gómez H, Hoppe A, Lehné R (2014) Land-Use Impact and Nitrate Analysis to Validate DRASTIC Vulnerability Maps Using a GIS Platform of Pablillo River Basin, Linares, NL, Mexico. Int J Geosci 5(12):1468CrossRef

Prasad K, Shukla J (2014) Assessment of groundwater vulnerability using GIS-based DRASTIC technology for the basaltic aquifer of Burhner watershed, Mohgaon block, Mandla (India). Curr Sci 107(10):1649

Saigal SK (2007) Ground water information booklet Fatehgarh Sahib District. Chandigarh, Central Groundwater Board North Western Region, Punjab

Sener E, Davraz A (2013) 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). Hydrogeol J 21(3):701–714CrossRef

Şener E, Şener Ş (2015) Evaluation of groundwater vulnerability to pollution using fuzzy analytic hierarchy process method. Environ Earth Sci 73(12):8405–8424CrossRef

Shirazi SM, Imran HM, Akib S (2012) GIS-based DRASTIC method for groundwater vulnerability assessment: a review. J Risk Res 15(8):991–1011CrossRef

Thirumalaivasan D, Karmegam M, Venugopal K (2003) AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS. Environ Model Softw 18(7):645–656CrossRef

Umar R, Ahmed I, Alam F (2009) Mapping groundwater vulnerable zones using modified DRASTIC approach of an alluvial aquifer in parts of central Ganga plain, Western Uttar Pradesh. J Geol Soc India 73(2):193–201CrossRef

Titel: Assessment of the effectiveness of DRASTIC in predicting the vulnerability of groundwater to contamination: a case study from Fatehgarh Sahib district in Punjab, India
verfasst von: Prashant Kumar
Praveen K. Thakur
Baban K. S. Bansod
Sanjit K. Debnath
Publikationsdatum: 01.05.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 10/2016
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-016-5712-4

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