Optimizing Selective Withdrawal in Reservoirs to Improve Water Quality

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YAHYAEI A.R.; MORIDI A.; MOUSAVI NADOUSHANI S.S.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2020 | Volume:15 | Issue:4 Page(s): 1-17

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Title

Optimizing Selective Withdrawal in Reservoirs to Improve Water Quality

Author(s)

YAHYAEI A.R. | MORIDI A. | MOUSAVI NADOUSHANI S.S. | Issue Writer Certificate

Keywords

Reservoir Quality ManagementQ1

EutrophicationQ2

Particle Swarm Optimization AlgorithmQ1

Selective WithdrawalQ1

CE-QUAL-W2Q1

Abstract

In this study, a method has been developed that, through optimized Selective Withdrawal and release of contaminated water from lower level of the dam, helps reservoir water quality improvement and downstream water quality preservation. In the present study, the two-dimensional model CE-QUAL-W2 was used to simulate the reservoir water quality processes. The model was then combined with Particle Swarm Optimization Algorithm. This common simulationoptimization approach was able to find optimal operation policies to improve water quality inside and downstream of the reservoir. In order to increase the efficiency and reduce the computational time of the model, the reservoir quality simulation model was replaced with an artificial neural network model. The performance of the developed methodology was evaluated for a real case for a 2-year simulation period. Different scenarios for the reservoir operation were considered and using the simulation model (meta model), the concentration of the index pollutant was calculated and ultimately optimal operation policy of the reservoir was determined. The results showed that for the optimal operation policy the average amount of dissolved oxygen in reservoir outflow was about 25% higher than the current operating conditions. Also the status of the reservoir was improved to low Eutrophication state in most of the months in comparison to the existing condition in which the reservoir eutriphication state is high in some months like June. The comparison between dissolved oxygen concentrations of the reservoir outflow in optimum operation policy with the existing operational conditions showed high efficiency of the proposed method and its significant effect on improvement of the reservoir water quality.

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APA: Copy

YAHYAEI, A.R., MORIDI, A., & MOUSAVI NADOUSHANI, S.S.. (2020). Optimizing Selective Withdrawal in Reservoirs to Improve Water Quality. IRAN-WATER RESOURCES RESEARCH, 15(4 ), 1-17. SID. https://sid.ir/paper/99987/en

Vancouver: Copy

YAHYAEI A.R., MORIDI A., MOUSAVI NADOUSHANI S.S.. Optimizing Selective Withdrawal in Reservoirs to Improve Water Quality. IRAN-WATER RESOURCES RESEARCH[Internet]. 2020;15(4 ):1-17. Available from: https://sid.ir/paper/99987/en

IEEE: Copy

A.R. YAHYAEI, A. MORIDI, and S.S. MOUSAVI NADOUSHANI, “Optimizing Selective Withdrawal in Reservoirs to Improve Water Quality,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 4 , pp. 1–17, 2020, [Online]. Available: https://sid.ir/paper/99987/en

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