Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India

In this work remote sensing, geographic information systems (GIS) and fieldwork techniques are combined in an attempt to identify groundwater potential zones in the hilly terrain of the Pavagarh region. The various thematic maps prepared for delineating groundwater potential zones are lineament density, drainage density, digital elevation model (DEM), slope map and land use/land cover (LULC). A multi-criteria evaluation technique (MCE) is used to investigate a number of choice possibilities and evaluate suitability according to the associated weight of each factor. A map is obtained which shows the classification of the area into good, moderate and low groundwater potential zones.

[1]  R. Horton.  Drainage‐basin characteristics , 1932 .

[2]  Mark A. Melton,et al.  analysis of the relations among elements of climate, surface properties, and geomorphology , 1957 .

[3]  S. Chatterjee.  Petrology of the Lavas of Pavagad Hill, Gujarat , 1961 .

[4]  B. Tiwari.  Magmatic differentiation of the volcanics at Pavagarh, Gujarat, India , 1971 .

[5]  Stephen J. Carver,et al.  Integrating multi-criteria evaluation with geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[6]  P. Sharma,et al.  Landform analysis and ground water potential in the Bist Doab area, Punjab, India , 1993 .

[7]  R. M. Teeuw,et al.  Groundwater Exploration Using Remote Sensing And A Low-Cost Geographical Information System , 1995 .

[8]  B. Panigrahi,et al.  Application of remote sensing technology for groundwater potential evaluation , 1995 .

[9]  Piotr Jankowski,et al.  Integrating Geographical Information Systems and Multiple Criteria Decision-Making Methods , 1995, Int. J. Geogr. Inf. Sci..

[10]  P. Sander,et al.  Water-Well Siting in Hard-Rock Areas: Identifying Promising Targets Using a Probabilistic Approach , 1997 .

[11]  E. Esu,et al.  Application of remote-sensing data to groundwater exploration: A case study of the Cross River State, southeastern Nigeria , 1998 .

[12]  Ali Noroozi,et al.  Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran , 2005 .

[13]  Erhan Şener,et al.  An integration of GIS and remote sensing in groundwater investigations: A case study in Burdur, Turkey , 2005 .

[14]  F. Quiel,et al.  Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea , 2006 .

[15]  John Webb,et al.  Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia , 2007 .

[16]  Prashant K. Srivastava,et al.  INTEGRATED WATER RESOURCE MANAGEMENT USING REMOTE SENSING AND GEOPHYSICAL TECHNIQUES: ARAVALI QUARTZITE, DELHI, INDIA , 2007 .

[17]  N. Mondal,et al.  Deciphering potential groundwater zone in hard rock through the application of GIS , 2008 .

[18]  H. Sheth,et al.  The Mount Pavagadh volcanic suite, Deccan Traps: Geochemical stratigraphy and magmatic evolution , 2008 .

[19]  Cheng-Haw Lee,et al.  GIS for the assessment of the groundwater recharge potential zone , 2009 .

[20]  Ismail Chenini,et al.  Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin) , 2010 .