The Experts below are selected from a list of 44358 Experts worldwide ranked by ideXlab platform
Abbas Afshar - One of the best experts on this subject based on the ideXlab platform.
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A fuzzy equilibrium strategy for sustainable water quality management in River-Reservoir system
Journal of Hydrology, 2020Co-Authors: Sepideh Kheirkhah Hasanzadeh, Motahareh Saadatpour, Abbas AfsharAbstract:Abstract Presence of various stakeholders in water resources management may arise conflicts and intensify the complexity of decision making. To reduce eutrophication potential in a River-Reservoir system with discharges from aquaculture industries, an equilibrium strategy-based Multi-Pollutant Waste Load Allocation (MPWLA) program is developed. Proposed MPWLA model links a surrogate to CE-QUAL-W2 water quality model, with artificial neural networks setting, with an evolutionary optimization algorithm in an adaptive surrogate-based Simulation-Optimization framework. Environmental and economic objectives are formulated as fuzzy membership functions to deal with ambiguities and imprecisions in defining the goals of study. To consider the conflicting preferences of stakeholders, (i.e., Iran Department of Environment and aquaculture units), the Stackelberg game is applied and the results are compared with those of Nash Bargaining solution. Performance of the proposed approach is illustrated by its application to Behesht-Abad River-Reservoir system, Iran. Results indicate that application of the model may reduce the eutrophication potential in the Behesht-Abad water body by offering an equilibrium strategy. Comparing two decision-making approaches (Stackelberg and Nash Bargaining) also reveals that the leader in Stackelberg, as fine and constraint setter, benefits from the premier position, leading to higher environmental penalty tariffs, less fish production capacities, and consequently better water quality rather than the Nash bargaining solution.
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Developing a Reliability-Based Waste Load Allocation Strategy for River-Reservoir Systems
Journal of Water Resources Planning and Management, 2018Co-Authors: Abbas Afshar, Fariborz Masoumi, Samuel Sandoval SolisAbstract:AbstractEnhanced socioeconomic criteria and temporal changes in the topology of the system often require waste load reallocation (WLRA) in a River-Reservoir system to sustain long-term water qualit...
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Selective withdrawal optimization in River-Reservoir systems; trade-offs between maximum allowable receiving waste load and water quality criteria enhancement.
Environmental monitoring and assessment, 2016Co-Authors: Fariborz Masoumi, Abbas Afshar, Sedigheh Torabi PalatkalehAbstract:In this paper, a new systematic approach is designed to maximize the demand coverage and receiving waste load by River-Reservoir systems while enhancing water quality criteria. The approach intends to control the Reservoir eutrophication while developing a trade-off between the maximum receiving load and shortage on demand coverage. To simulate the system, a hybrid process-based and data-driven model is tailored. Initially, the two-dimensional hydrodynamics and water quality simulation model (CE-QUAL-W2) is linked with an effective single and/or multiple optimization algorithms (PSO) to evaluate the proposed scenarios. To increase the computational efficiencies, the simulation model is substituted with a surrogate model (ANN) in an adaptive-dynamically refined routine. The proposed method is illustrated by a case study in Iran, namely, Karkheh River Reservoir, for 180-monthly periods. The results showed the applicability of the methodology especially to solve high-dimensional multi-period complex water resource optimization problems. Also, the results demonstrated that eutrophication could be reduced under the optimal inflow phosphate control and Reservoir operation, regulating the total phosphorous concentration in the Reservoir.
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Waste load reallocation in River–Reservoir systems: simulation–optimization approach
Environmental Earth Sciences, 2015Co-Authors: Abbas Afshar, Fariborz MasoumiAbstract:Temporal changes in system’s topology and/or socioeconomic criteria may force the authorities to enforce waste load reallocation strategies to sustain water quality standards in a receiving body. This paper proposes a simulation–optimization model to tackle the challenging waste load reallocation in a River–Reservoir system. This study links a 2-dimensional process-based water quality simulation model and a surrogate data-driven model with an efficient optimization algorithm to structure a systematic approach and methodology for reallocation of waste loads in a River–Reservoir system. Long response time of the Reservoir is accounted for by the continuous and long-term simulation of the system for identification of the vulnerable conditions and their consequences. The proposed methodology is particularly suitable for high-dimensional River–Reservoir operation optimization with water quality–quantity objectives. To reduce the computational burden, we substitute the simulation model with a surrogate model in an online-dynamically refined routine. The optimum waste load reallocation strategies, for prior and after dam construction, are compared, and their impacts on waste allocation are discussed.
Wenzhi Liu - One of the best experts on this subject based on the ideXlab platform.
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distribution source identification and ecological risk assessment of heavy metals in wetland soils of a River Reservoir system
Environmental Science and Pollution Research, 2017Co-Authors: Xiaoliang Jiang, Ziqian Xiong, Hui Liu, Guihua Liu, Wenzhi LiuAbstract:The majority of Rivers in the world have been dammed, and over 45,000 large Reservoirs have been constructed for multiple purposes. Riparian and Reservoir shorelines are the two most important wetland types in a dammed River. To date, few studies have concerned the heavy metal pollution in wetland soils of these River-Reservoir systems. In this study, we measured the concentrations of ten heavy metals (Ba, Cd, Co, Cr, Cu, Mn, Ni, Pb, Sr, and Zn) in surface soils collected from riparian and Reservoir shorelines along the Han River in different seasons. Our results found that the Co, Cu, and Ni concentrations in riparian wetlands were significantly lower than those in Reservoir shorelines. In riparian wetlands, only soil Sr concentration significantly increased after summer and autumn submergence. Multivariate statistical analyses demonstrated that Ba and Cd might originate from industrial and mining sources, whereas Sr and Mn predominantly originated from natural rock weathering. The ecological risk assessment analysis indicated that both riparian and Reservoir shorelines along the Han River in China exhibited a moderate ecological risk in soil heavy metals. The upper Han River basin is the water resource area of China's Middle Route of the South-to-North Water Transfer Project. Therefore, to control the contamination of heavy metals in wetland soils, more efforts should be focused on reducing the discharge of mining and industrial pollutants into the riparian and Reservoir shorelines.
Yaling Huang - One of the best experts on this subject based on the ideXlab platform.
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A Coupled Modeling Approach for Water Management in a River–Reservoir System
International Journal of Environmental Research and Public Health, 2019Co-Authors: Zhenyu Zhang, Jinliang Huang, Min Zhou, Yaling Huang, Yimin LuAbstract:A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a River–Reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou Reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou Reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou Reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a River–Reservoir system.
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A Coupled Modeling Approach for Water Management in a River-Reservoir System.
International journal of environmental research and public health, 2019Co-Authors: Zhenyu Zhang, Jinliang Huang, Min Zhou, Yaling HuangAbstract:A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a River–Reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou Reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou Reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou Reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a River–Reservoir system.
Zhenyu Zhang - One of the best experts on this subject based on the ideXlab platform.
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A Coupled Modeling Approach for Water Management in a River–Reservoir System
International Journal of Environmental Research and Public Health, 2019Co-Authors: Zhenyu Zhang, Jinliang Huang, Min Zhou, Yaling Huang, Yimin LuAbstract:A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a River–Reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou Reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou Reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou Reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a River–Reservoir system.
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A Coupled Modeling Approach for Water Management in a River-Reservoir System.
International journal of environmental research and public health, 2019Co-Authors: Zhenyu Zhang, Jinliang Huang, Min Zhou, Yaling HuangAbstract:A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a River–Reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou Reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou Reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou Reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a River–Reservoir system.
Fariborz Masoumi - One of the best experts on this subject based on the ideXlab platform.
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Developing a Reliability-Based Waste Load Allocation Strategy for River-Reservoir Systems
Journal of Water Resources Planning and Management, 2018Co-Authors: Abbas Afshar, Fariborz Masoumi, Samuel Sandoval SolisAbstract:AbstractEnhanced socioeconomic criteria and temporal changes in the topology of the system often require waste load reallocation (WLRA) in a River-Reservoir system to sustain long-term water qualit...
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Selective withdrawal optimization in River-Reservoir systems; trade-offs between maximum allowable receiving waste load and water quality criteria enhancement.
Environmental monitoring and assessment, 2016Co-Authors: Fariborz Masoumi, Abbas Afshar, Sedigheh Torabi PalatkalehAbstract:In this paper, a new systematic approach is designed to maximize the demand coverage and receiving waste load by River-Reservoir systems while enhancing water quality criteria. The approach intends to control the Reservoir eutrophication while developing a trade-off between the maximum receiving load and shortage on demand coverage. To simulate the system, a hybrid process-based and data-driven model is tailored. Initially, the two-dimensional hydrodynamics and water quality simulation model (CE-QUAL-W2) is linked with an effective single and/or multiple optimization algorithms (PSO) to evaluate the proposed scenarios. To increase the computational efficiencies, the simulation model is substituted with a surrogate model (ANN) in an adaptive-dynamically refined routine. The proposed method is illustrated by a case study in Iran, namely, Karkheh River Reservoir, for 180-monthly periods. The results showed the applicability of the methodology especially to solve high-dimensional multi-period complex water resource optimization problems. Also, the results demonstrated that eutrophication could be reduced under the optimal inflow phosphate control and Reservoir operation, regulating the total phosphorous concentration in the Reservoir.
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Waste load reallocation in River–Reservoir systems: simulation–optimization approach
Environmental Earth Sciences, 2015Co-Authors: Abbas Afshar, Fariborz MasoumiAbstract:Temporal changes in system’s topology and/or socioeconomic criteria may force the authorities to enforce waste load reallocation strategies to sustain water quality standards in a receiving body. This paper proposes a simulation–optimization model to tackle the challenging waste load reallocation in a River–Reservoir system. This study links a 2-dimensional process-based water quality simulation model and a surrogate data-driven model with an efficient optimization algorithm to structure a systematic approach and methodology for reallocation of waste loads in a River–Reservoir system. Long response time of the Reservoir is accounted for by the continuous and long-term simulation of the system for identification of the vulnerable conditions and their consequences. The proposed methodology is particularly suitable for high-dimensional River–Reservoir operation optimization with water quality–quantity objectives. To reduce the computational burden, we substitute the simulation model with a surrogate model in an online-dynamically refined routine. The optimum waste load reallocation strategies, for prior and after dam construction, are compared, and their impacts on waste allocation are discussed.
