Waste load reallocation in river-reservoir systems: simulation-optimization approach

被引:17
作者
Afshar, Abbas [1 ,2 ]
Masoumi, Fariborz [3 ]
机构
[1] Iran Univ Sci & Technol, Dept Civil Engn, Tehran, Iran
[2] Iran Univ Sci & Technol, Ctr Excellence Envirohydroinformat Res, Tehran, Iran
[3] Iran Univ Sci & Technol, Sch Civil Engn, Tehran, Iran
关键词
Waste load allocation; River-reservoir systems; Simulation-optimization; CE-QUAL-W2; Surrogate model; WATER-QUALITY MANAGEMENT; PARTICLE SWARM OPTIMIZATION; NEURAL-NETWORK; ALLOCATION; MODEL; EUTROPHICATION; ALGORITHM; OPERATION;
D O I
10.1007/s12665-015-4812-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 40 条
[1]   Multiobjective Calibration of Reservoir Water Quality Modeling Using Multiobjective Particle Swarm Optimization (MOPSO) [J].
Afshar, Abbas ;
Shojaei, Nasim ;
Sagharjooghifarahani, Mahdi .
WATER RESOURCES MANAGEMENT, 2013, 27 (07) :1931-1947
[2]   Development of a Complex System Dynamic Eutrophication Model: Application to Karkheh Reservoir [J].
Afshar, Abbas ;
Saadatpour, Motahareh ;
Marino, Miguel A. .
ENVIRONMENTAL ENGINEERING SCIENCE, 2012, 29 (06) :373-385
[3]   Reservoir Eutrophication Modeling, Sensitivity Analysis, and Assessment: Application to Karkheh Reservoir, Iran [J].
Afshar, Abbas ;
Saadatpour, Motahareh .
ENVIRONMENTAL ENGINEERING SCIENCE, 2009, 26 (07) :1227-1238
[5]   Selecting inputs for modeling using normalized higher order statistics and independent component analysis [J].
Back, AD ;
Trappenberg, TP .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2001, 12 (03) :612-617
[6]   OPTIMIZATION MODELING OF WATER-QUALITY IN AN UNCERTAIN ENVIRONMENT [J].
BURN, DH ;
MCBEAN, EA .
WATER RESOURCES RESEARCH, 1985, 21 (07) :934-940
[7]   Waste-load allocation using genetic algorithms [J].
Burn, DH ;
Yulianti, JS .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 2001, 127 (02) :121-129
[8]   Interactive response surface approaches using computationally intensive models for multiobjective planning of lake water quality remediation [J].
Castelletti, A. ;
Antenucci, J. P. ;
Limosani, D. ;
Thi, X. Quach ;
Soncini-Sessa, R. .
WATER RESOURCES RESEARCH, 2011, 47
[9]  
Castelletti A, 2009, INT S ENV SOFTW SYST
[10]  
Chaves P, 2005, WATER ENCY, DOI [10.1002/047147844X.wq601, DOI 10.1002/047147844X.WQ601]