Modelling the vulnerability of groundwater to contamination in an unconfined alluvial aquifer in Pakistan

Abstract The area of Thal Doab is located in the Indus Basin and is underlain by a thick alluvial aquifer called the Thal Doab aquifer (TDA). The TDA is undergone intense hydrological stress owing to rapid population growth and excessive groundwater use for livestock and irrigated agricultural land uses. The potential impact of these land uses on groundwater quality was assessed using a DRASTIC model in a Geographic Information System environment. Seven DRASTIC thematic maps were developed at fixed scale and then combined into a groundwater vulnerability map. The resultant vulnerability index values were grouped into four zones as low, moderate, high and very high. The study has established that 76% of the land area that is underlain by the TDA has a high to very high vulnerability to groundwater contamination mainly because of a thin soil profile, a shallow water table and the presence of soils and sediments with high hydraulic conductivity values. In addition, only 2 and 22% of the total area lie in low and moderate vulnerability zones, respectively. The outcomes of this study can be used to improve the sustainability of the groundwater resource through proper land-use management.

[1]  K. Baier,et al.  Assessment of groundwater vulnerability using modified DRASTIC model in Kharun Basin, Chhattisgarh, India , 2016, Arabian Journal of Geosciences.

[2]  Yawar Hussain,et al.  Assessment of the Pollution Potential of an Aquifer from Surface Contaminants in a Geographic Information System: A Case Study of Pakistan , 2016 .

[3]  Adel Zghibi,et al.  Hydrogeological investigations and groundwater vulnerability assessment and mapping for groundwater resource protection and management: State of the art and a case study , 2015 .

[4]  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.

[5]  Z. Ahmad,et al.  Hydrochemical mapping of the Upper Thal Doab (Pakistan) using the geographic information system , 2015, Environmental Earth Sciences.

[6]  M. C. Sashikkumar,et al.  GIS-based assessment of aquifer vulnerability using DRASTIC Model: A case study on Kodaganar basin , 2016 .

[7]  Panos Panagos,et al.  European digital archive on soil maps (EuDASM): preserving important soil data for public free access , 2011, Int. J. Digit. Earth.

[8]  D. Lowry,et al.  Arsenic and other drinking water quality issues, Muzaffargarh district, Pakistan , 2005 .

[9]  Alaa M. Al-Abadi,et al.  A GIS-based DRASTIC model for assessing intrinsic groundwater vulnerability in northeastern Missan governorate, southern Iraq , 2017, Applied Water Science.

[10]  M. F. Chow,et al.  Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan , 2015, Environmental Earth Sciences.

[11]  Z. Ahmad,et al.  Hydrogeology and hydrochemistry of the Upper Thal Doab (Pakistan) , 2016, Environmental Earth Sciences.

[12]  Sathees Kumar,et al.  GIS Based Assessment of Groundwater Vulnerability Using Drastic Model , 2014 .

[13]  B. Dixon Groundwater vulnerability mapping: A GIS and fuzzy rule based integrated tool , 2005 .

[14]  W. V. Swarzenski,et al.  Ground-water hydrology of the Punjab region of West Pakistan, with emphasis on problems caused by canal irrigation , 1967 .

[15]  A modified DRASTIC model for Siting Confined Animal Feeding Operations in Williams County, Ohio, USA , 2008 .

[16]  N. Iqbal,et al.  Groundwater Quality Evaluation in Thal Doab of Indus Basin of Pakistan , 2014 .

[17]  Dipankar Saha,et al.  Groundwater vulnerability assessment using DRASTIC and Pesticide DRASTIC models in intense agriculture area of the Gangetic plains, India , 2014, Environmental Monitoring and Assessment.

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

[19]  M. Qasim Jan,et al.  Geology and tectonics of Pakistan , 1997 .

[20]  S. Ahmad,et al.  Vulnerability and impact assessment of extreme climatic event: A case study of southern Punjab, Pakistan. , 2017, The Science of the total environment.

[21]  S. Jamil The Salt Range : Pakistan ' s unique field museum of geology and paleontology [ Le Salt Range : un musée de géologie et de paléontologie à ciel ouvert au Pakistan ] , 2009 .

[22]  A. Khurshid Crustal structure of the Sulaiman Range, Pakistan, from gravity data , 1991 .

[23]  Yawar Hussain,et al.  Modelling the Spatial Distribution of Arsenic in Water and Its Correlation with Public Health, Central Indus Basin, Pakistan , 2016 .

[24]  Barón Marco Aurelio Azpúrua Auyanet,et al.  A Comparison of Spatial Interpolation Methods for Estimation of Average Electromagnetic Field Magnitude , 2010 .

[25]  S. Knutsson,et al.  Modeling the risk of groundwater contamination using modified DRASTIC and GIS in Amman-Zerqa Basin, Jordan , 2014 .

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

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

[28]  M. Taha,et al.  Soil-water characteristic curves and hydraulic conductivity of nanomaterial-soil-bentonite mixtures , 2015, Arabian Journal of Geosciences.

[29]  Barnali M. Dixon,et al.  Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran , 2013 .

[30]  N. Iqbal,et al.  ISOTOPIC INVESTIGATION OF GROUNDWATER RECHARGE MECHANISM IN THAL DOAB , 2014 .