Identification of Groundwater Potential Zones using Remote Sensing and GIS, Case Study: Mangalagiri Mandal
Kesana Sai Teja1, Dinesh Singh2
1Kesana Sai Teja, M.Tech Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, (Andhra Pradesh), India.
2Dinesh Singh, Associate Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation Deemed to be University, (Andhra Pradesh), India.
Manuscript received on 04 May 2019 | Revised Manuscript received on 16 May 2019 | Manuscript Published on 28 May 2019 | PP: 860-864 | Volume-7 Issue-6C2 April 2019 | Retrieval Number: F11590476C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ground water is one of the major sources that contribute to the total annual supply. The explosive growth and uneven distribution of population, poor irrigation practices, rapid urbanization/industrialization, large-scale deforestation and improper land use practices creates depletion of ground water. Therefore, increases demand of water for agriculture, household and industry. The objective of this paper is to review techniques and methodologies applied for identifying groundwater potential zones using GIS and remote sensing. In order to evaluate the ground water potential zones, different thematic maps such as geology, slope, soil, drainage density map, Land use and Land cover and surface water bodies at a 1: 50000 scale were prepared, using remotely-sensed data as well as topographical sheets and secondary data, collected from concern department. The prepared thematic layers are further used for mapping and identification of groundwater potential zone and analysis. A probability weighted approach has been applied during overlay analysis of thematic maps in ARC GIS. This produces ground potential map considering linear combination of weights of each thematic map. This map shows good, moderate, poor and very poor ground potential zones. This groundwater potential information will be useful for effective identification of Ground water condition.
Keywords: GIS, Ground Water, RS, Thematic Layers.
Scope of the Article: Remote Sensing, GIS and GPS