A Geetha Selvarani has completed her PhD from Anna University, Chennai. She has published more than 35 papers in reputed journals and conferences and has been serving as an Editorial Board Member and reviewer for various reputed journals. She has published five books with ISBN number and filed two patents. She participated as Invited Speaker and Chair Person for the 5th International Conference on Civil Engineering and Urban Planning (CEUP 2016) held in Xian, China during 23rd to 26th, August 2016. She is a member in Technical Program Committee for “International Conference on Geomatics and Civil Engineering [GCE2017]”, which will be held during September 8th - 10th, 2017, Shanghai, China.


The water is a nature’s valuable gift to all life forms. Depending upon the quality and quantity of groundwater it can be used for various purposes, such as drinking, agricultural and industrial uses. Due to revolution in industries and various anthropogenic sources in the past decades, groundwater has been polluted and depleted. Remote sensing and Geographical Information System (GIS) has become one of the leading tools in the field of hydrogeological science, which helps in assessing, monitoring and conserving groundwater resources. GIS technology provides suitable alternatives for efficient management of large and complex databases. In recent years, the increasing use of satellite remote sensing data has made it easier to define the spatial distribution of different groundwater prospect classes on the basis of geomorphology and other associated parameters. Analysis of remotely sensed data along with topographical sheets and collateral information with necessary field checks helps in generating the base line information for groundwater exploration and non-natural (artificial). The groundwater exploration and Non-Natural recharge sites were identified by integrating thematic maps of geology, geomorphology, slope, drainage density and lineament density of the study area. The weights of different parameters/themes were computed using weighed index overlay analysis (WIOA), analytic hierarchy process (AHP) and fuzzy logic technique. Through this integrated GIS analysis, groundwater prospect map non-natural recharge sites map of the study area was prepared qualitatively. Field verification at observation wells was used to verify identified potential zones and depth of water measured at observation wells. Generated map from weighed overlay using AHP performed very well in predicting the groundwater surface and hence this methodology proves to be a promising tool for future.

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