A simulation-optimization approach for optimal design of groundwater withdrawal wells' location and pumping rate considering desalination constraints

被引:10
|
作者
Ghaseminejad, Ali [1 ]
Shourian, Mojtaba [1 ]
机构
[1] Shahid Beheshti Univ, Dept Civil Water & Environm Engn, Tech & Engn Coll, Tehran, Iran
关键词
Groundwater wells; Optimal placement and discharge; Simulation-optimization; MODFLOW; PSO; MANAGEMENT; ALGORITHM; PLACEMENT; ELEMENTS;
D O I
10.1007/s12665-019-8273-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, a simulation-optimization approach for optimal determination of groundwater withdrawal wells location and pumping rate is developed while incorporating quantitative and water-quality objectives into the objective function simultaneously. The proposed model integrates the groundwater flow simulation model MODFLOW and particle-swarm optimization (PSO) algorithm and is applied to Sarakhs aquifer in Iran as the case study to minimize the total cost of drilling, transfer, and water treatment. Discharges and the location of pumping wells are taken as the decision variables. In addition, the maximum pumping rate and maximum allowable water-table drawdown while meeting the required quality for domestic water are incorporated as the constraints. Results show that the proposed approach not only satisfies the constraints, but also reduces the cost of water withdrawal comparing the existing plan. Sensitivity analysis indicates that results are not significantly sensitive to variation in aquifer's hydraulic conductivity, while the maximum pumping rate directly affects the number of required wells and can, therefore, make a considerable change in the final cost.
引用
收藏
页数:11
相关论文
共 22 条
  • [1] A simulation–optimization approach for optimal design of groundwater withdrawal wells’ location and pumping rate considering desalination constraints
    Ali Ghaseminejad
    Mojtaba Shourian
    Environmental Earth Sciences, 2019, 78
  • [2] A general simulation-optimization approach for groundwater sampling network design
    Wu, JF
    Zheng, CM
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON WATER RESOURCES AND THE URBAN ENVIRONMENT, 2003, : 443 - 450
  • [3] Optimal design of groundwater pollution management systems for a decanting contaminated site: A simulation-optimization approach
    Alexander, Augustina Clara
    Ndambuki, Julius Musyoka
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2021, 15
  • [4] Optimal design of groundwater pollution management systems for a decanting contaminated site: A simulation-optimization approach
    Alexander, Augustina Clara
    Ndambuki, Julius Musyoka
    Groundwater for Sustainable Development, 2021, 15
  • [5] Optimal groundwater remediation design of pump and treat systems via a simulation-optimization approach and firefly algorithm
    Kazemzadeh-Parsi, Mohammad Javad
    Daneshmand, Farhang
    Ahmadfard, Mohammad Amin
    Adamowski, Jan
    Martel, Richard
    ENGINEERING OPTIMIZATION, 2015, 47 (01) : 1 - 17
  • [6] Spatial allocation of bioretention cells considering interaction with shallow groundwater: A simulation-optimization approach
    Zhang, Kun
    Chui, Ting Fong May
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 935
  • [7] Optimal design of multilayer radar absorbing materials: a simulation-optimization approach
    Yao, Huiming
    Yang, Jiapeng
    Li, Han
    Xu, Jianchun
    Bi, Ke
    ADVANCED COMPOSITES AND HYBRID MATERIALS, 2023, 6 (01)
  • [8] A simulation-optimization approach for optimal design of dewatering systems in unconfined strata
    Mansour, Mona A.
    Aly, Marwa M.
    ALEXANDRIA ENGINEERING JOURNAL, 2020, 59 (02) : 839 - 850
  • [9] Optimal design of multilayer radar absorbing materials: a simulation-optimization approach
    Huiming Yao
    Jiapeng Yang
    Han Li
    Jianchun Xu
    Ke Bi
    Advanced Composites and Hybrid Materials, 2023, 6
  • [10] A Novel Hybrid Simulation-Optimization Approach for the Optimal Design of Multicomponent Distillation Columns
    Reyes-Labarta, Juan A.
    Caballero, Jose A.
    Marcilla, Antonio
    22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2012, 30 : 1257 - 1261