Efficient, parallelized global optimization of groundwater pumping in a regional aquifer with land subsidence constraints

Pang，Min1; Du，Erhu1; Shoemaker，Christine A.2,3; Zheng，Chunmiao1,4

2022-05-15

10.1016/j.jenvman.2022.114753

JOURNAL OF ENVIRONMENTAL MANAGEMENT   影响因子和分区

0301-4797

1095-8630

The design of groundwater exploitation schedules with constraints on pumping-induced land subsidence is a computationally intensive task. Physical process-based groundwater flow and land subsidence simulations are high-dimensional, nonlinear, dynamic and computationally demanding, as they require solving large systems of partial differential equations (PDEs). This work is the first application of a parallelized surrogate-based global optimization algorithm to mitigate land subsidence issues by controlling the pumping schedule of multiple groundwater wellfields over space and time. The application was demonstrated in a 6500 km region in China, involving a large-scale coupled groundwater flow-land subsidence model that is computationally expensive in terms of computational resources, including runtime and CPU memory for one single evaluation. In addition, the optimization problem contains 50 decision variables and up to 13 constraints, which adds to the computational effort, thus an efficient optimization is required. The results show that parallel DYSOC (dynamic search with surrogate-based constrained optimization) can achieve an approximately 100% parallel efficiency when upscaling computing resources. Compared with two other widely used optimization algorithms, DYSOC is 2–6 times faster, achieving computational cost savings of at least 50%. The findings demonstrate that the integration of surrogate constraints and dynamic search process can aid in the exploration and exploitation of the search space and accelerate the search for optimal solutions to complicated problems.

Computationally demanding constrained optimization Groundwater management Land subsidence Simulation-optimization Surrogate-based optimization

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China[41861124003,"NSF CISE 1116298","NSF 1049033"]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000780884900005

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD

ENVIRONMENT/ECOLOGY

2-s2.0-85125195227

Scopus

1.Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
2.Department of Industrial Systems and Management,National University of Singapore,Singapore
3.Department of Civil and Environmental Engineering,Cornell University,Ithaca,United States
4.EIT Institute for Advanced Study,Ningbo,Zhejiang,China

Pang，Min,Du，Erhu,Shoemaker，Christine A.,et al. Efficient, parallelized global optimization of groundwater pumping in a regional aquifer with land subsidence constraints[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,310.

Pang，Min,Du，Erhu,Shoemaker，Christine A.,&Zheng，Chunmiao.(2022).Efficient, parallelized global optimization of groundwater pumping in a regional aquifer with land subsidence constraints.JOURNAL OF ENVIRONMENTAL MANAGEMENT,310.

Pang，Min,et al."Efficient, parallelized global optimization of groundwater pumping in a regional aquifer with land subsidence constraints".JOURNAL OF ENVIRONMENTAL MANAGEMENT 310(2022).