Rao, SM and Mogili, NV (2021) New classification method to evaluate pollution levels of sewage contaminated lakes. In: Sustainability (Switzerland), 13 (7).
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Abstract
Monitoring water quality to minimize deterioration of a lake�s functionality is important, as several Indian lakes are exposed to sewage contamination. Public health laboratories, citizen scientists, and volunteers in developing nations often find it difficult to perform elaborate tests to monitor the water quality of freshwater systems. Developing a classification method to evaluate the pollution status of sewage-contaminated lakes using limited tests will expand environmental monitoring of freshwater systems and contribute valuable data to the regional and global repository. Four classes of lake pollution ranging from unpolluted (class 1) to mixed wastewater (class 4) were identified based on the distribution of data points in the K+ (potassium) versus COD (chemical oxygen demand) scatter chart. As pH, EC (electrical conductivity), turbidity, and DO (dissolved oxygen) are deteriorated by sewage contamination, these parameters were also incorporated in the proposed pollution classification table. Data of unpolluted and sewage polluted Indian lakes were employed to compile the limiting range of parameters in the proposed lake pollution classification. The five parameters (K+, pH, EC, DO, turbidity) required to categorize lake pollution (class 1 to 4) can be measured with equipment costing 800-1000 USD, while COD can be measured at 5 USD/sample in laboratories. © 2021 by the authors.
| Item Type: | Journal Article |
|---|---|
| Publication: | Sustainability (Switzerland) |
| Publisher: | MDPI AG |
| Additional Information: | The copyright for this article belongs to Authors |
| Keywords: | chemical oxygen demand; concentration (composition); detection method; lacustrine environment; lake pollution; lake water; water quality, India, Varanidae |
| Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 19 Jul 2021 09:36 |
| Last Modified: | 19 Jul 2021 09:36 |
| URI: | http://eprints.iisc.ac.in/id/eprint/68715 |
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