Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (MOPSO)

Afshar, Abbas; Shojaei, Nasim; Sagharjooghifarahani, Mahdi

doi:10.1007/s11269-013-0263-x

Cited by 62 publications

(32 citation statements)

References 23 publications

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“…The CQW2 model has been widely used in the study of stratified water systems, including lakes, reservoirs and estuarine environments [7,16,17,18,19,20,21,22]. CQW2 is a two-dimensional (longitudinal-vertical) hydrodynamic and water quality model.…”

Section: Methodsmentioning

confidence: 99%

From Eutrophic to Mesotrophic: Modelling Watershed Management Scenarios to Change the Trophic Status of a Reservoir

Mateus

Almeida

Brito

et al. 2014

IJERPH

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Management decisions related with water quality in lakes and reservoirs require a combined land-water processes study approach. This study reports on an integrated watershed-reservoir modeling methodology: the Soil and Water Assessment Tool (SWAT) model to estimate the nutrient input loads from the watershed, used afterwards as boundary conditions to the reservoir model, CE-QUAL-W2. The integrated modeling system was applied to the Torrão reservoir and drainage basin. The objective of the study was to quantify the total maximum input load that allows the reservoir to be classified as mesotrophic. Torrão reservoir is located in the Tâmega River, one of the most important tributaries of the Douro River in Portugal. The watershed is characterized by a variety of land uses and urban areas, accounting for a total Waste Water Treatment Plants (WWTP) discharge of ~100,000 p.e. According to the criteria defined by the National Water Institute (based on the WWTP Directive), the Torrão reservoir is classified as eutrophic. Model estimates show that a 10% reduction in nutrient loads will suffice to change the state to mesotrophic, and should target primarily WWTP effluents, but also act on diffuse sources. The method applied in this study should provide a basis for water environmental management decision-making.

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Section: Methodsmentioning

confidence: 99%

From Eutrophic to Mesotrophic: Modelling Watershed Management Scenarios to Change the Trophic Status of a Reservoir

Mateus

Almeida

Brito

et al. 2014

IJERPH

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show abstract

“…(), was selected for solving the multi‐objective problem considered since this algorithm and its extensions have been successfully applied in different engineering problems. Some applications in water engineering are included: optimal reservoir operation (Baltar and Fontane, ), auto calibration of reservoir water quality modelling (Afshar et al ., ), water allocation (Liu et al ., ), managing irrigation and drain water (Noory et al ., ), and parameter calibration of flood routing models (Azadnia and Zahraie, ). Unlike PSO, in MOPSO, due to the existence of different criteria or objectives, the pbest and gbest vectors are not unique and their defining is based on non‐domination.…”

Section: Description Of the Eas Consideredmentioning

confidence: 97%

Application of multi‐objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks

Yazdi

Sadollah

Lee

et al. 2015

J Flood Risk Management

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In recent decades, evolutionary optimisation algorithms have been used successfully for a wide variety of water resources engineering problems and their applications are still increasing. In this research work, a hybrid harmony search algorithm, "Non-dominated Sorting Harmony Search" algorithm (NSHS) is developed and compared with two state of the art multi-objective evolutionary algorithms -the NSGA-II and MOPSO algorithms -for assigning optimal rehabilitation plans for sewer pipe networks. The algorithms considered were validated using some standard test functions reported in the literature and compared with each other in terms of several metrics. These algorithms were then linked to the SWMM-EPA hydraulic model and applied to a storm sewer pipe network case study in Seoul, South Korea, to obtain the best rehabilitation plans for pipe replacements. The results showed that the algorithms considered have different behaviors in solving the benchmark tests and rehabilitation problem. The proposed hybrid multi-objective harmony search algorithm provides better optimal solutions in terms of different metrics and clearly outperforms the other two algorithms for the rehabilitation of the storm sewer pipe networks.

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“…As the model assumes lateral homogeneity, it is best suited for relatively long and narrow waterbodies exhibiting longitudinal and vertical water quality gradients. This model has been successfully applied to stratified water systems, including lakes, reservoirs, and estuaries (Afshar et al, 2013;Berger and Wells, 2008;Bowen and Hieronymus, 2003;Choi et al, 2007;Kuo et al, 2006;Lee and Foster, 2013;Park et al, 2014;Wells et al, 2012). The CE-QUAL-W2 model was selected in this study because it is appropriate for XXB, where lateral variations in velocity and temperature are insignificant (Yang et al, 2010).…”

Section: Model Description and Applicationmentioning

confidence: 99%

Modeling density currents in a typical tributary of the Three Gorges Reservoir, China

Liu

Wells

et al. 2015

Ecological Modelling

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Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (MOPSO)

Cited by 62 publications

References 23 publications

From Eutrophic to Mesotrophic: Modelling Watershed Management Scenarios to Change the Trophic Status of a Reservoir

From Eutrophic to Mesotrophic: Modelling Watershed Management Scenarios to Change the Trophic Status of a Reservoir

Application of multi‐objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks

Modeling density currents in a typical tributary of the Three Gorges Reservoir, China

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