Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects

In this research, deriving optimal reservoir operation in selective withdrawal scheme considering quality and quantity aspects has been studied. Surrogate based simulation-optimization approach (SBSOA) has been applied to improve downstream water supply and enhance reservoir outflow water quality. C...

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Main Authors: Parisa Yosefipoor, Motahareh Saadatpour, Abbas Afshar
Format: Article
Language:English
Published: Water and Wastewater Consulting Engineers Research Development 2019-11-01
Series:آب و فاضلاب
Subjects:
Online Access:http://www.wwjournal.ir/article_91821_3068607c3fdfdee5e161cebfd2286eed.pdf
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spelling doaj-d846e63a1cc74abcade7a28bc5efdd1a2021-03-02T05:14:06ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052019-11-01305314310.22093/wwj.2018.132788.268991821Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity AspectsParisa Yosefipoor0Motahareh Saadatpour1Abbas Afshar2MSc of Environmental Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, IranAssist. Prof., School of Civil Engineering, Iran University of Science and Technology, Tehran, IranProf., School of Civil Engineering, Iran University of Science and Technology, Tehran, IranIn this research, deriving optimal reservoir operation in selective withdrawal scheme considering quality and quantity aspects has been studied. Surrogate based simulation-optimization approach (SBSOA) has been applied to improve downstream water supply and enhance reservoir outflow water quality. CE-QUAL-W2 as the hydrodynamic and water quality simulation model in the river-reservoir system and multi-objective particle swarm optimization (MOPSO) algorithm as an efficient tool have been applied in simulation-optimization (SO) approach. To overcome the computational burdens of multiple calls of CE-QUAL-W2, as a numerical high fidelity model, various surrogate models have been developed to simulate reservoir outflow water quality parameters (DO, NO<sub>3</sub>, PO<sub>4</sub>, BOD, and Fe). The developed surrogate models and mass balance model have been coupled with MOPSO algorithm in SBSOA. In this study, the water quality objective function is defined as water quality index (WQI), which integrates various water quality parameters, DO, NO<sub>3</sub>, PO<sub>4</sub>, BOD, and Fe. The proposed approach has been applied in Ilam river-reservoir system to derive optimal reservoir operating strategies in the selective withdrawal scheme. The results show suitable efficiency and accuracy of the developed surrogate models in approximation of various water quality parameters compared with CE-QUAL-W2 simulation results (the approximation error of DO, NO<sub>3</sub>, PO<sub>4</sub>, Fe, and BOD has been respectively 3%, 1%, 2%, 2%, 3%). The studies indicate enhancing reservoir outflow water quality is consistent with downstream water supply satisfaction. It means, the increasing of reservoir outflow rate leads to the reservoir detention time decreasing, pollutant settling rate reductions, and chemical/biological reaction attenuation.http://www.wwjournal.ir/article_91821_3068607c3fdfdee5e161cebfd2286eed.pdfmopso algorithmce-qual-w2libsvm modelsimulation-optimization
collection DOAJ
language English
format Article
sources DOAJ
author Parisa Yosefipoor
Motahareh Saadatpour
Abbas Afshar
spellingShingle Parisa Yosefipoor
Motahareh Saadatpour
Abbas Afshar
Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
آب و فاضلاب
mopso algorithm
ce-qual-w2
libsvm model
simulation-optimization
author_facet Parisa Yosefipoor
Motahareh Saadatpour
Abbas Afshar
author_sort Parisa Yosefipoor
title Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
title_short Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
title_full Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
title_fullStr Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
title_full_unstemmed Surrogate Based Simulation-Optimization Approach in Optimal Operation of Waterbody Considering Quality and Quantity Aspects
title_sort surrogate based simulation-optimization approach in optimal operation of waterbody considering quality and quantity aspects
publisher Water and Wastewater Consulting Engineers Research Development
series آب و فاضلاب
issn 1024-5936
2383-0905
publishDate 2019-11-01
description In this research, deriving optimal reservoir operation in selective withdrawal scheme considering quality and quantity aspects has been studied. Surrogate based simulation-optimization approach (SBSOA) has been applied to improve downstream water supply and enhance reservoir outflow water quality. CE-QUAL-W2 as the hydrodynamic and water quality simulation model in the river-reservoir system and multi-objective particle swarm optimization (MOPSO) algorithm as an efficient tool have been applied in simulation-optimization (SO) approach. To overcome the computational burdens of multiple calls of CE-QUAL-W2, as a numerical high fidelity model, various surrogate models have been developed to simulate reservoir outflow water quality parameters (DO, NO<sub>3</sub>, PO<sub>4</sub>, BOD, and Fe). The developed surrogate models and mass balance model have been coupled with MOPSO algorithm in SBSOA. In this study, the water quality objective function is defined as water quality index (WQI), which integrates various water quality parameters, DO, NO<sub>3</sub>, PO<sub>4</sub>, BOD, and Fe. The proposed approach has been applied in Ilam river-reservoir system to derive optimal reservoir operating strategies in the selective withdrawal scheme. The results show suitable efficiency and accuracy of the developed surrogate models in approximation of various water quality parameters compared with CE-QUAL-W2 simulation results (the approximation error of DO, NO<sub>3</sub>, PO<sub>4</sub>, Fe, and BOD has been respectively 3%, 1%, 2%, 2%, 3%). The studies indicate enhancing reservoir outflow water quality is consistent with downstream water supply satisfaction. It means, the increasing of reservoir outflow rate leads to the reservoir detention time decreasing, pollutant settling rate reductions, and chemical/biological reaction attenuation.
topic mopso algorithm
ce-qual-w2
libsvm model
simulation-optimization
url http://www.wwjournal.ir/article_91821_3068607c3fdfdee5e161cebfd2286eed.pdf
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AT abbasafshar surrogatebasedsimulationoptimizationapproachinoptimaloperationofwaterbodyconsideringqualityandquantityaspects
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