English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The quality of water is a vital concern for mankind since it is directly linked to human health. Groundwater is a pivot because of its multiple uses for example, drinking, irrigation, and industrial, etc. Thus, the availability of water and also its quality are the dimensions essential for research. It has become necessary to determine the Groundwater Quality and for its determination, Water Quality Index (WQI) is an important index and Geospatial Technology is an effective tool. Hence, the present study was performed to determine the level of some physical and chemical properties of water in pre and post-monsoon seasons (2017-18) in Surat district, Gujarat, India. The objective of the paper is to assess the spatial pattern of groundwater quality with the use of Geospatial technology (GIS).Water quality was assessed using pH, turbidity, Total Dissolved Solid (TDS), calcium, magnesium, sulphate, chloride, fluoride, nitrate, alkalinity and total hardness parameters. Water Quality Index (WQI) is calculated to determine the quality of groundwater. The water quality index category of<25 WQI was noted in 20.44 percent area during pre-monsoon which decreased to 18.36 percent in post-monsoon. 72.66 percent area had 25-50 WQI. After the rains, this area decreased to 62.28 percent. <25 WQI was noted in 22.99 percent samples in pre-monsoon which reduced to 19.41 percent in the post-monsoon. The next category with 25-50 WQI was noted in 67.20 percent samples in premonsoon and 56.87 percent in the post-monsoon season. 50-75 WQI was noted in 9.80 percent samples in pre-monsoon which increased to 20.44 percent in the post-monsoon season. The range with 75-100 WQI was not detected in any of the samples in pre-monsoon and was observed in 3.26 percent samples after the rains.

ASSESSING GROUNDWATER QUALITY USING GEOSPATIAL TECHNOLOGY: A CASE STUDY OF SURAT DISTRICT, GUJARAT, INDIA