Information Entropy Evolution for Groundwater Flow System: A Case Study of Artificial Recharge in Shijiazhuang City, China

Xu, Wei

doi:10.3390/e16084408

Cited by 19 publications

(2 citation statements)

References 14 publications

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“…The Groundwater Modeling System (GMS) is made of several modular (MODFLOW, FEMWATER, MT3DMS, RT3D and so on) designed by Environmental Model Laboratory of Brigham Yong University and Test Station of America Army Drainage Engineering. It was used to model groundwater flow and groundwater quality widely [ 43 , 44 ]. MODFLOW modular of GMS (version 9.2.2) software is used to solve the numerical simulation model of groundwater flow, and the algorithm of MODFLOW is a finite difference method [ 45 , 46 , 47 ].…”

Section: Study Area and Methodsmentioning

confidence: 99%

Surrogate Model Application to the Identification of Optimal Groundwater Exploitation Scheme Based on Regression Kriging Method—A Case Study of Western Jilin Province

Cheng

2015

IJERPH

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This paper introduces a surrogate model to identify an optimal exploitation scheme, while the western Jilin province was selected as the study area. A numerical simulation model of groundwater flow was established first, and four exploitation wells were set in the Tongyu county and Qian Gorlos county respectively so as to supply water to Daan county. Second, the Latin Hypercube Sampling (LHS) method was used to collect data in the feasible region for input variables. A surrogate model of the numerical simulation model of groundwater flow was developed using the regression kriging method. An optimization model was established to search an optimal groundwater exploitation scheme using the minimum average drawdown of groundwater table and the minimum cost of groundwater exploitation as multi-objective functions. Finally, the surrogate model was invoked by the optimization model in the process of solving the optimization problem. Results show that the relative error and root mean square error of the groundwater table drawdown between the simulation model and the surrogate model for 10 validation samples are both lower than 5%, which is a high approximation accuracy. The contrast between the surrogate-based simulation optimization model and the conventional simulation optimization model for solving the same optimization problem, shows the former only needs 5.5 hours, and the latter needs 25 days. The above results indicate that the surrogate model developed in this study could not only considerably reduce the computational burden of the simulation optimization process, but also maintain high computational accuracy. This can thus provide an effective method for identifying an optimal groundwater exploitation scheme quickly and accurately.

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Section: Study Area and Methodsmentioning

confidence: 99%

Surrogate Model Application to the Identification of Optimal Groundwater Exploitation Scheme Based on Regression Kriging Method—A Case Study of Western Jilin Province

Cheng

2015

IJERPH

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show abstract

“…In addition, an arti cial recharge system reduces environmental problems in the related areas (Zahng et al, 2015). Arid regions with high rainfall intensity and low in ltration and groundwater recharge are generally suitable for the introduction of arti cial recharge systems (Makkawi 2015;Xu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%