Geoinformatic Modeling of Groundwater Resource Mapping of Shear Zone Regions- A Case Study on Attur Valley, Tamil Nadu,
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RESEARCH ARTICLE
Geoinformatic Modeling of Groundwater Resource Mapping of Shear Zone Regions- A Case Study on Attur Valley, Tamil Nadu, India V. Thirukumaran & C. J. Kumanan & T. K. Biswal
Received: 21 October 2013 / Accepted: 28 February 2014 # Indian Society of Remote Sensing 2014
Abstract The general tendency of mapping groundwater resource using remote sensing and Geographic Information System (GIS) techniques involve assigning higher weightage to geomorphology. But this cannot be used as a thumb rule everywhere, especially an area where many ductile and brittle zones are prevalent. The influence of texture and structure of sheared rocks might play a control over retaining and permitting groundwater to flow. Attur valley is characterized by the presence of many shear zones and faults and hence the rocks are highly fissile within the shear zones. The present study tries to establish a new ranking and weightage scheme and hence a new spatial model for groundwater resource mapping in shear zone area like Attur Valley. This spatial model can be verified with field data such as water level data, pump test and resistivity data.
Keywords Shear zones . Groundwater resources . Attur valley . Geoinformatic modeling . Iso-resistivity . Pump test . Water level fluctuation method
Electronic supplementary material The online version of this article (doi:10.1007/s12524-014-0375-7) contains supplementary material, which is available to authorized users. V. Thirukumaran (*) Department of Geology, Government Arts College (Autonomous), Salem 636007, India e-mail: [email protected] C. J. Kumanan Centre for Remote sensing, Bharathidasan University, Tiruchirappalli 620024, India T. K. Biswal Department of Earth sciences, IIT Bombay, Powai, Mumbai 400076, India
Introduction One of the best methodologies to locate and map the occurrence and distribution of groundwater has focused on the utility of high resolution satellite imagery to identify and delineate the surface features more accurately. Remote sensing method provides the efficient way of mapping of natural resources economically than those of the conventional methods and yield better results. Krishnamurthy and Srinivasan (1995); Ravindran and Jayaram (1997); Rao et al. (2004), Mohanty and Behera (2010); Sinha et al. (2012); Gumma and Paul Pavelic (2013) have used the satellite remote sensing data to define the spatial distribution of different groundwater prospect classes on the basis of geomorphology and other associated parameters. Sankar (2002); Rai et al.(2005); Lokesha et al. (2005) in their studies found that, identification of groundwater occurrences location using remote sensing data is based on indirect analysis of some directly observable terrain features like geological structures, geomorphology and their hydrologic characteristics. Bahuguna et al. (2003), in their studies found that lineaments play significant role in groundwater exploration particularly in hard rock terrain. On the basis of hydrogeomorphology, Vijith (2007) has delineated three categor
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