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Ecological study of river Suswa: modeling DO and BOD
1Department of Zoology and Environmental Sciences, Gurukul Kangri University, Haridwar, Uttaranchal, India. rbhutiani@rediffmail.com
A new model accurately predicts river water quality, specifically dissolved oxygen and biochemical oxygen demand, using seasonal upstream and downstream data. This tool validates river Suswa
Area of Science:
- Environmental Science
- Water Resource Management
- Limnology
Background:
- River Suswa's limnological status requires ongoing assessment.
- Accurate water quality monitoring is crucial for environmental protection.
Purpose of the Study:
- To develop and validate a novel model for predicting river water quality parameters.
- To assess the seasonal dissolved oxygen (DO) and biochemical oxygen demand (BOD) of River Suswa.
Main Methods:
- Development of a modified Khanna Bhutiani model (BMKB model) for DO and BOD prediction.
- Calibration and verification using two years of seasonal water quality data from River Suswa.
- Comparison of model-predicted values with manually observed data.
Main Results:
- The BMKB model demonstrated good agreement with manually observed DO and BOD data.
- The model effectively provides seasonal water quality values based on historical data.
- Minor variations in physical, chemical, and heavy metal parameters were noted across sampling stations.
Conclusions:
- The BMKB model is a valid and reliable tool for assessing river water quality.
- The study provides valuable insights into the limnological status of River Suswa.
- The model can aid in proactive water resource management and pollution control.
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