| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 03039 | |
| Number of page(s) | 8 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202561603039 | |
| Published online | 24 February 2025 | |
Sustainable Water Quality Monitoring: A Time Series Analysis of Ecological Parameters in Saroornagar Lake
1 Environmental Science Division, Department of H&S, CVR College of Engineering, Ibrahimpatnam, Hyderabad - 501510, Telangana, India
2 Environmental Science Division, Department of H&S, CVR College of Engineering, Ibrahimpatnam, Hyderabad - 501510, Telangana, India
3 Department of Electrical and Electronics Engineering, CVR College of Engineering, Ibrahimpatnam, Hyderabad - 501510, Telangana, India
* Corresponding author: kt.padmapriya@cvr.ac.in
Further ecological studies of Saroornagar lake by using time series analysis had been carried out to evaluate the degree of pollution, diversity and shifting of species during 1980 to 2021. From the real-time data, most of necessary parameters showed increase in its concentration many-fold and some of the parameters were drastically decreased in its concentration. From biological parameters most of the species were eliminated from the habitat and some species showed high in its density. Particularly the Chlorophyceae and Euglenophyceae members withstand well and appeared in the form of thick blooms. Nutrient loading and high degree of pollution due to anthropogenic activities contributes to the deterioration of the lake and there is a major shift in species composition. The study clearly confirms the lake is highly polluted and designated as eutrophic.
© The Authors, published by EDP Sciences, 2025
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.