Groundwater vulnerability assessment using DRASTIC and Pesticide DRASTIC models in intense agriculture area of the Gangetic plains, India

Delineating areas susceptible to contamination from anthropogenic sources form an important component of sustainable management of groundwater resources. The present research aims at estimating vulnerability of groundwater by application of DRASTIC and Pesticide DRASTIC models in the southern part of the Gangetic plains in the state of Bihar. The DRASTIC and Pesticide DRASTIC models have considered seven parameters viz. depth to water level, net recharge, aquifer material, soil material, topography, impact of vadose zone and hydraulic conductivity. A third model, Pesticide DRASTIC LU has been adopted by adding land use as an additional parameter, to assess its impact on vulnerability zonation. The DRASTIC model indicated two vulnerable categories, moderate and high, while the Pesticide DRASTIC model revealed moderate, high and very high vulnerable categories. Out of the parameters used, depth to water level affected the vulnerability most. The parameter caused least impact was topography in DRASTIC, while in case of Pesticide DRASTIC and Pesticide DRASTIC LU models, the parameter was hydraulic conductivity. A linear regression between groundwater NO3 concentrations and the vulnerability zonation revealed better correlation for Pesticide DRASTIC model, emphasising the effectiveness of the model in assessing groundwater vulnerability in the study region. Considering all three models, the most vulnerable areas were found to be concentrated mainly in two zones, (i) in the south-western part along Ekangarsarai-Islampur patch and (ii) around Biharsharif-Nagarnausa area in the central part. Both zones were characterised by intensive vegetable cultivation with urban areas in between.

[1]  Rashmi Sanghi,et al.  Organochlorine and organophosphorous pesticide residues in ground water and surface waters of Kanpur, Uttar Pradesh, India. , 2005, Environment international.

[2]  Luís Ribeiro,et al.  Evaluation of an intrinsic and a specific vulnerability assessment method in comparison with groundwater salinisation and nitrate contamination levels in two agricultural regions in the south of Portugal , 2006 .

[3]  Anat Thapinta,et al.  Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. , 2003, Environment international.

[4]  J. Vrba,et al.  Guidebook on Mapping Groundwater Vulnerability , 1994 .

[5]  D. Chakraborti,et al.  Examining India's groundwater quality management. , 2011, Environmental science & technology.

[6]  Kourosh Mohammadi,et al.  MODIFICATION OF DRASTIC MODEL TO MAP GROUNDWATER VULNERABILITY TO POLLUTION USING NITRATE MEASUREMENTS IN AGRICULTURAL AREAS , 2011 .

[7]  Kourosh Mohammadi,et al.  Calibrating DRASTIC using field measurements, sensitivity analysis and statistical methods to assess groundwater vulnerability , 2011 .

[8]  Izrar Ahmed,et al.  Mapping groundwater vulnerable zones using modified DRASTIC approach of an alluvial aquifer in parts of central Ganga plain, Western Uttar Pradesh , 2009 .

[9]  B. Pradhan,et al.  Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran , 2014, Environmental Earth Sciences.

[10]  S. Jellali,et al.  GIS-based DRASTIC, Pesticide DRASTIC and the Susceptibility Index (SI): comparative study for evaluation of pollution potential in the Nabeul-Hammamet shallow aquifer, Tunisia , 2013, Hydrogeology Journal.

[11]  A. Sharma,et al.  Contamination of nitrate and fluoride in ground water along the Ganges Alluvial Plain of Kanpur district, Uttar Pradesh, India , 2008, Environmental monitoring and assessment.

[12]  A. Gorai,et al.  Approaches to Groundwater Vulnerability to Pollution: A Literature Review , 2012 .

[13]  Tetsuya Hiyama,et al.  A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan. , 2005, The Science of the total environment.

[14]  D. Kolpin,et al.  Groundwater vulnerability: interactions of chemical and site properties. , 2002, The Science of the total environment.

[15]  J. Merchant GIS-based groundwater pollution hazard assessment: a critical review of the DRASTIC model , 1994 .

[16]  Zulkifli Yusop,et al.  Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques , 2013, Environmental Earth Sciences.

[17]  Ayman A. Ahmed Using Generic and Pesticide DRASTIC GIS-based models for vulnerability assessment of the Quaternary aquifer at Sohag, Egypt , 2009 .

[18]  P. K. Sikdar,et al.  Geochemical Evolution of Groundwater in the Pleistocene Aquifers of South Ganga Plain, Bihar , 2008 .

[19]  D. Saha,et al.  Synthetic detergents (surfactants) and organochlorine pesticide signatures in surface water and groundwater of greater Kolkata, India. , 2009 .

[20]  N. Kazakis,et al.  Assessment of intrinsic vulnerability using DRASTIC model and GIS in Kiti aquifer, Cyprus , 2010 .

[21]  Dipankar Saha,et al.  Delineation of groundwater development potential zones in parts of marginal Ganga Alluvial Plain in South Bihar, Eastern India , 2010, Environmental monitoring and assessment.

[22]  Shakeel Ahmed,et al.  A new model (DRASTIC-LU) for evaluating groundwater vulnerability in parts of central Ganga Plain, India , 2014, Arabian Journal of Geosciences.

[23]  M. Almasri,et al.  Assessment of intrinsic vulnerability to contamination for Gaza coastal aquifer, Palestine. , 2008, Journal of environmental management.

[24]  Lars Rosén,et al.  A Study of the DRASTIC Methodology with Emphasis on Swedish Conditions , 1994 .

[25]  P K Gupta,et al.  Pesticide exposure--Indian scene. , 2004, Toxicology.

[26]  D. Saha,et al.  The Aquifer System and Evaluation of its Hydraulic Parameters in Parts of South Ganga Plain, Bihar , 2007 .

[27]  G. Chae,et al.  Hydrogeochemistry of alluvial groundwaters in an agricultural area: an implication for groundwater contamination susceptibility. , 2004, Chemosphere.

[28]  A. Mukherjee,et al.  Regional hydrostratigraphy and groundwater flow modeling in the arsenic-affected areas of the western Bengal basin, West Bengal, India , 2007 .

[29]  C. Mclay,et al.  Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. , 2001, Environmental pollution.

[30]  Erhan Şener,et al.  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) , 2012, Hydrogeology Journal.

[31]  D. Saha,et al.  Arsenic-safe alternate aquifers and their hydraulic characteristics in contaminated areas of Middle Ganga Plain, Eastern India , 2011, Environmental monitoring and assessment.

[32]  A. Fabbri,et al.  Single-parameter sensitivity analysis for aquifer vulnerability assessment using DRASTIC and SINTACS , 2009 .

[33]  D. Saha,et al.  Aquifer system response to intensive pumping in urban areas of the Gangetic plains, India: the case study of Patna , 2014, Environmental Earth Sciences.

[34]  Atiqur Rahman,et al.  A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India , 2008 .

[35]  L. Aller,et al.  Drastic: A Standardized System to Evaluate Groundwater Pollution Potential using Hydrogeologic Setting , 1987 .

[36]  K. Navulur,et al.  Estimating groundwater vulnerability to nonpoint source pollution from nitrates and pesticides on a regional scale , 2009 .

[37]  Liping Bai,et al.  Application of DRASTIC and extension theory in the groundwater vulnerability evaluation , 2012 .

[38]  J. A. R. Leal,et al.  Aquifer vulnerability mapping in the Turbio river valley, Mexico: A validation study , 2003 .