Sensitivity analysis of water quality for Delhi stretch of the River Yamuna,India |
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Authors: | D L Parmar Ashok K Keshari |
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Institution: | (1) Environmental Systems Design & Modeling Division, National Environmental Engineering Research Institute, Nehru Marg, Wardha Road, Nagpur, Maharashtra, 440020, India |
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Abstract: | Simulation models are used to aid the decision makers about water pollution control and management in river systems. However,
uncertainty of model parameters affects the model predictions and hence the pollution control decision. Therefore, it often
is necessary to identify the model parameters that significantly affect the model output uncertainty prior to or as a supplement
to model application to water pollution control and planning problems. In this study, sensitivity analysis, as a tool for
uncertainty analysis was carried out to assess the sensitivity of water quality to (a) model parameters (b) pollution abatement
measures such as wastewater treatment, waste discharge and flow augmentation from upstream reservoir. In addition, sensitivity
analysis for the “best practical solution” was carried out to help the decision makers in choosing an appropriate option.
The Delhi stretch of the river Yamuna was considered as a case study. The QUAL2E model is used for water quality simulation.
The results obtained indicate that parameters K
1 (deoxygenation constant) and K
3 (settling oxygen demand), which is the rate of biochemical decomposition of organic matter and rate of BOD removal by settling,
respectively, are the most sensitive parameters for the considered river stretch. Different combinations of variations in
K
1 and K
2 also revealed similar results for better understanding of inter-dependability of K
1 and K
2. Also, among the pollution abatement methods, the change (perturbation) in wastewater treatment level at primary, secondary,
tertiary, and advanced has the greatest effect on the uncertainty of the simulated dissolved oxygen and biochemical oxygen
demand concentrations. |
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Keywords: | |
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