Identifying sources of groundwater contamination in a hard-rock aquifer system using multivariate statistical analyses and GIS-based geostatistical modeling techniques》.pdfVIP

G Model No. of Pages 31 ARTICLE IN PRESS EJRH-31; Journal of Hydrology: Regional Studies xxx (2015) xxx.e1–xxx.e31 Contents lists available at ScienceDirect Journal of Hydrology: Regional Studies j o u r na l h o m epage: w w w. elsev /locate/ejr h Identifying sources of groundwater contamination in a hard-rock aquifer system using multivariate statistical analyses and GIS-based geostatistical modeling techniques Deepesh Machiwal a,∗, Madan K. Jha b a SWE Department, College of Technology and Engineering, MPUAT, Udaipur 313 001, India b AgFE Department, Indian Institute of Technology, Kharagpur 721 302, West Bengal, India a r t i c l e i n f o a b s t r a c t Article history: Study region: The study area is Udaipur district, which is situated in hard-rock Received 5 March 2014 hilly terrain of Rajasthan, India. Received in revised form 4 October 2014 Study focus: In this study, spatio-temporal variations of fifteen groundwater Accepted 22 November 2014 quality parameters are explored by box–whisker plots, trends are detected and Available online xxx quantified, and GIS-based groundwater quality index (GQI) is computed. For the first time, scores of principal component analysis (PCA) are combined with GIS-based geostatistical modeling by following a sound methodology in compre- Keywords: hensive manner to identify sources of groundwater contamination. G