Ms. Harshada sunil Vende, Dr. R. N. Bhavare, Dr. V. R. Kakulte
This study evaluates water quality across three major dams in Nashik District, Maharashtra Upper Vaitarna, Mukne, and Darna based on seasonal observations during 2022. A set of twenty key physicochemical and biological parameters, including pH, electrical conductivity, dissolved oxygen, biochemical oxygen demand, chemical oxygen demand, total dissolved and suspended solids, nutrients, and coliform counts, were analyzed to understand spatial and temporal variations. The results indicate significant seasonal influence, with the monsoon period contributing to increased nutrient loading and microbial contamination, while comparatively stable conditions were observed in other seasons. Water Quality Index (WQI) analysis revealed variability among reservoirs, identifying locations requiring targeted management interventions. The study highlights the role of seasonal processes and anthropogenic pressures in shaping water quality and provides region-specific insights to support effective monitoring and sustainable water resource management. Furthermore, the findings emphasize the need for season-specific mitigation strategies, particularly during high-risk monsoon periods, to reduce runoff-induced contamination. The study also offers a scientific basis for integrating watershed management practices with reservoir monitoring to enhance long-term water quality sustainability in the region.
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https://doi.org/10.62226/ijarst20262642
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Ms. Harshada sunil Vende, Dr. R. N. Bhavare, Dr. V. R. Kakulte | Evaluation of Water Quality Parameters in Major Dams of Nashik District: A Comparative Study | DOI : https://doi.org/10.62226/ijarst20262642
| Journal Frequency: | ISSN 2320-1126, Monthly | |
| Paper Submission: | Throughout the month | |
| Acceptance Notification: | Within 6 days | |
| Subject Areas: | Engineering, Science & Technology | |
| Publishing Model: | Open Access | |
| Publication Fee: | USD 60 USD 50 | |
| Publication Impact Factor: | 6.76 | |
| Certificate Delivery: | Digital |