| Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
|---|---|---|
| Article Number | 04006 | |
| Number of page(s) | 9 | |
| Section | Sustainable Technologies in Construction & Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202340504006 | |
| Published online | 26 July 2023 | |
Spatio-Temporal Analysis on Groundwater - Case Study for Thiruvallur District
1 Department of Civil Engineering, R.M.K. Engineering College, Tamil Nadu.
2 Department of Civil Engineering, Velammal Engineering College, Tamil Nadu.
3 Department of Electronics and Instrumentation Engineering, R.M.K. Engineering College, Tamil Nadu.
* Corresponding author: j.bharathsingh@gmail.com
Thiruvallur District in Tamil Nadu is one such district, with groundwater levels reaching depths of 50m to 60m below the surface. Growing populations, variations in land use patterns, reduction in rainfall depth, and other factors all contributed to an increase in water demand and a decrease in water potential. This affects the quality of groundwater as well. In this study, the variation of both Groundwater potential and Groundwater Quality is analyzed. The collected data has undergone thorough processing to ensure its accuracy and relevance for the area to be studied. (Thiruvallur District). The base map for the place to be analyzed and the well-map are created in the QGIS software with the data. The processed data is imported into the QGIS to create a database. With the database, the spatial variation between the stations is mapped. The temporal variation of the stations is carried out. The spatial map is done for the groundwater level and Groundwater quality parameters like pH, TDS, Cl, etc. The temporal variation is shown in the graph for the GW level and GW quality parameters with respect to the well-points.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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