Abstract

AbstractGround water quality assessment is an important parameter for identification of water quality in watershed. Recently, RS and GIS techniques are important tool to do a spatial analysis of the watershed. Water quality index (WQI) will provide meaningful insight for the health and assessing water quality. In the case of Gujarat floods in 2017, Banaskantha’s Rel river region was one of the most vulnerable regions. To check the water quality many attempts have been made to develop WQI with some selected parameters along four bore wells at different locations. Weighted arithmetic water quality index method and Pearson’s R Matrix method were the main methods used to identify WQI. Furthermore, the obtained result is analyzed using GIS analytical techniques using IDW interpolation, the maps have been prepared detailing WQI, so it is possible to get the WQI of pinpoint locations within the study area. The results are compared with Bureau of Indian Standards IS code 10500:2012 and World Health Organization (WHO). The result will be helpful to decision makers to improve the quality of groundwater in Rel river catchment. It would provide better watershed management practice.KeywordsGroundwaterWater Quality IndexGISWHO

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