Wang Zaiyong, Zhang Qi, Shao Jianli, Zhang Wenquan, Wu Xintao, Lei Yu, Wu Xunan
College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Department of Civil and Environmental Engineering, Stanford University, Stanford, California 94305, United States.
ACS Omega. 2021 Dec 8;6(50):34596-34605. doi: 10.1021/acsomega.1c04970. eCollection 2021 Dec 21.
Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight (CW) method and the fuzzy matter-element analysis (FMEA) method were used to analyze and evaluate the control effect of subsiding land. Overall, 20 sets of geological samples were collected from this area. The influencing factors and the corresponding weights for the control effect of subsiding land were comprehensively analyzed, and an FMEA model was built to predict and verify the results. The results showed that (1) the two evaluation indicators with the most significant impact on land reclamation were the degree of integration and the economic and social benefits and (2) among the 20 sets of samples selected, the predicted conclusions of 17 sets were consistent with the actual engineering situations, which led to an accuracy of 85%. In other words, the CW-FMEA model showed good reliability for evaluating the control effect of subsiding land, which can provide scientific references for control and quality evaluations of land subsidence due to coal mining.
中国北方厚松散层下的煤炭开采会导致地面沉降，这是水力-力学耦合（流体流动与固体变形耦合）的自然结果。因此，矿区周边土地受到极大破坏。本研究采用组合权重（CW）法和模糊物元分析（FMEA）法对塌陷土地的治理效果进行分析和评价。总体而言，从该地区采集了20组地质样本。综合分析了塌陷土地治理效果的影响因素及相应权重，并建立了FMEA模型对结果进行预测和验证。结果表明：（1）对土地复垦影响最显著的两个评价指标是整合度和经济社会效益；（2）在选取的20组样本中，有17组的预测结论与实际工程情况一致，准确率达85%。换句话说，CW-FMEA模型在评价塌陷土地治理效果方面显示出良好的可靠性，可为煤矿开采引起的地面沉降控制和质量评价提供科学参考。
