Online investigation for irrigation water quality parameters of Gummidipoondi Lake, Thiruvallur, Tamil Nadu, India

Author:

Jebaraj Bharath SinghORCID,Sankaran Vijayalakshmi,Sivasankaran Sushmitha

Abstract

AbstractThe water quality parameters analysis was carried out in the Gummidipoondi Lake located in Thiruvallur district of Tamil Nadu, India. As the Lake was only source for the farmers for irrigation in their place, contamination of the Lake is the major threat. The contamination factors for that Lake are mainly due to the manufacturing industries which are present around the water body. Farming is the only occupation of the surroundings. In order to protect the water body which is serving as a backbone for that community, a complete analysis is carried out to monitor the water quality parameters. Currently, offline investigation is carried out by the water supply and drainage board. The junior water analyst will directly inspect the water bodies, collect samples and do testing either in laboratories or in field using the kits available. The sets of data will be available after completing a number of tests and displayed in the website by manual entry. In order to carry a real-time analysis and the direct providing of data in the website, an online investigation method is implemented and tested in the Gummidipoondi Lake. The main parameters of this lake water are the temperature, pH and the turbidity. This concept uses real-time processors with sensors, connecting protocols and the display of results in the web interface. The results produced by the method are used to provide the contamination happened in the lake and alert the public works department to take necessary action to avoid the contamination. The outputs are displayed in the website to give current updates about the condition of the Gummidipoondi Lake.

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wireless sensor network technology and geospatial technology for groundwater quality monitoring;Journal of Industrial Information Integration;2024-03

2. Spatio-Temporal Analysis on Groundwater - Case Study for Thiruvallur District;E3S Web of Conferences;2023

3. Water Chemical Oxygen Demand Detection System Based on LASSO Algorithm;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

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