A Calculation and Optimization Method for the Theoretical Reclamation Timing of Cropland

Hejian Yin, Guangli Guo (), Huaizhan Li and Tiening Wang
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Hejian Yin: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Guangli Guo: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Huaizhan Li: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Tiening Wang: School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Land, 2024, vol. 13, issue 5, 1-19

Abstract: In mining areas with high groundwater tables, mining subsidence can lead to the inundation of cropland by water, causing damage to cropland and posing a threat to national food security. The implementation of concurrent mining and reclamation techniques can effectively enhance the reclamation rate of cropland. This technique requires engineers to initiate reclamation measures before cropland waterlogging occurs. Therefore, when mining a panel underground, an accurate calculation of the time when cropland becomes waterlogged, known as the theoretical reclamation timing, is crucial. To address this issue, this study proposes a computational method for the theoretical reclamation timing of cropland under the conditions of single-panel mining based on intelligent optimization algorithms. In addition, this paper also proposes an optimization method for the theoretical reclamation timing of cropland within a district based on an intelligent optimization algorithm. Utilizing this method makes optimizing the layout of multiple panels possible, thereby delaying the theoretical reclamation timing for cropland within a district. This approach aims to shorten the duration of reclamation projects and minimize their interference with agricultural activities. Through experimental validation, this paper demonstrates the reliability of these two methods. This study is beneficial for the rational planning of reclamation projects.

Keywords: mining subsidence; cropland; concurrent mining and reclamation; reclamation timing; intelligent optimization algorithms (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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