Application of a Surrogate Model for a Groundwater Numerical Simulation Model for Determination of the Annual Control Index of the Groundwater Table in China

Xiaowei Wang, Jingli Shao, Yali Cui and Qiulan Zhang
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Xiaowei Wang: School of Water Resources and Environment, China University of Geosciences (Beijing), No.29 Xueyuan Road, Haidian District, Beijing 10083, China
Jingli Shao: School of Water Resources and Environment, China University of Geosciences (Beijing), No.29 Xueyuan Road, Haidian District, Beijing 10083, China
Yali Cui: School of Water Resources and Environment, China University of Geosciences (Beijing), No.29 Xueyuan Road, Haidian District, Beijing 10083, China
Qiulan Zhang: School of Water Resources and Environment, China University of Geosciences (Beijing), No.29 Xueyuan Road, Haidian District, Beijing 10083, China

Sustainability, 2020, vol. 12, issue 14, 1-16

Abstract: The Chinese government hopes to implement groundwater table control to realize the sustainable utilization of groundwater resources based on controlling the current groundwater exploitation amount. In this study, a method to determine the control index of the groundwater table is proposed. In the method, the reasonable relationship between the groundwater table and groundwater exploitation amount is ensured using the groundwater numerical simulation model. The operability of the index determination is improved using a surrogate numerical model, and the annual hydrological dynamic is simplified to three scenarios of dry, flat, and wet. To verify this method, the Minqin Basin in Northwest China was chosen as a typical study area. It is assumed that the control index of groundwater exploitation in 2020 is 85,000 × 10 3 m 3 . Then, the preset annual water table index is calculated as [−0.70, 0.62, 1.13, −1.25, 1.36, 3.09] m [−0.77, 0.53, 1.05, −1.33, 1.27, 2.96] m, and [−0.83, 0.46, 0.99, −1.40, 1.20, 2.85] m for the chosen six monitoring wells, varying over the years with wet, flat, and dry scenarios. This method can ensure high precision, operability, and dynamic management when determining the control index of the groundwater table and satisfy the demand of managers.

Keywords: groundwater management; control index of groundwater exploitation amount; control index of groundwater table; numerical simulation model; surrogate model; Minqin Basin (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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