Rejuvenate Groundwater Quality By Artificial Recharge Using GIS And Remote Sensing

GEETHA, SELVARANI ARUMAIKKANI and SAMSON, SISUPALAN (2018) Rejuvenate Groundwater Quality By Artificial Recharge Using GIS And Remote Sensing. In: Eighth International Conference on Advances in Applied Science and Environmental Engineering - ASEE 2018, 03-04 February, 2018, Kuala Lumpur, Malaysia.

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Abstract

Groundwater is an essential and vital natural resource and its significantly use for drinking, irrigation and industrial purposes. But, now-a-days the quality of groundwater is deteriorating day by day due to anthropogenic activities. So we are in a position to assess the quality of groundwater before consumption. The water samples were collected at random locations and it covers all the plain area of the district. The base map of the study area was developed by the Survey of India (SOI) Toposheets and sample locations were marked on that map. The geology, geomorphology, soil, drainage, landuse/land cover, rainfall, water level and rainfall maps of the study area have been digitized using GIS. Water samples were collected from 62 locations and evaluated based on IS:10500-1991 for drinking purpose and suitability of water for irrigation is evaluated by irrigation quality guide lines. Based on the comparison of groundwater quality, Premonsoon groundwater quality is found better than the postmonsoon groundwater quality. It has been discussed that the reason for groundwater quality variation is primarily due to dissolution in groundwater by rainfall infiltrations. It is recognized that the most appropriate method which is readily available now for improvement of groundwater quality through dissolution of artificial recharge. Hence, an attempt is proposed in this work is to improve the groundwater quality by the process of dissolution using artificial recharge by integrating all the thematic map with groundwater quality map in GIS platform. Based on the result it was found that most of the area is covered by moderate to good categories under non natural recharge sites, out of 42 sites, 33 sites falls under this category and it is possible to construct recharge structures and final results are validated with the help of model generated.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Groundwater, GIS, Artificial Recharge, Water Quality, MATLAB
Depositing User: Mr. John Steve
Date Deposited: 10 Mar 2019 09:19
Last Modified: 10 Mar 2019 09:19
URI: http://publications.theired.org/id/eprint/239

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