Identification of Suitable Site for Artificial Recharge Structure Using GIS and Remote Sensing – A Review

Authors

  • D. R. Neha Department of Civil Engineering, Dayanand Sagar College of Engineering, Bengaluru, India
  • Ambika Deelip Bandgar Department of Civil Engineering, Dayanand Sagar College of Engineering, Bengaluru, India
  • Ashwini Department of Civil Engineering, Dayanand Sagar College of Engineering, Bengaluru, India
  • Madhav Agarwal Department of Civil Engineering, Dayanand Sagar College of Engineering, Bengaluru, India
  • G. Venktesha Department of Civil Engineering, Dayanand Sagar College of Engineering, Bengaluru, India

Keywords:

GIS, Ground water, RS, Thematic layers

Abstract

One of the main sources contributing to the overall annual supply is ground water. Ground water scarcity is created by explosive development and unequal population distribution, inadequate irrigation practices, rapid urbanization/ industrialization, large-scale deforestation and improper land use practices. Thus, the demand for water for agriculture, households and industry is growing. The goal of this paper is to review the techniques and methodologies used to identify potential zones of groundwater using GIS and remote sensing. Various thematic maps were prepared, such as geology, slope, soil, drainage density map, land use and land cover at a scale of 1:50000, to assess the groundwater potential zones, Using remotely sensed data, topographical sheets and secondary data gathered from the Department of Concern. The thematic layers prepared are further used for mapping and defining the possible area and study of groundwater. Overlay analysis of thematic maps based on the analytical hierarchy method in ARC GIS, a probability weighted approach was applied. This generates a possible groundwater map, taking into account the linear combination of weights for each thematic map. This possible groundwater knowledge would be useful for the successful identification of the state of the groundwater.

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Published

25-10-2020

Issue

Section

Articles

How to Cite

[1]
D. R. Neha, A. D. Bandgar, Ashwini, M. Agarwal, and G. Venktesha, “Identification of Suitable Site for Artificial Recharge Structure Using GIS and Remote Sensing – A Review”, IJRAMT, vol. 1, no. 2, pp. 16–18, Oct. 2020, Accessed: Oct. 18, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/446