TY - JOUR
T1 - Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
AU - Wang, Zaiyong
AU - Zhang, Qi
AU - Shao, Jianli
AU - Zhang, Wenquan
AU - Wu, Xintao
AU - Lei, Yu
AU - Wu, Xunan
N1 - Funding Information:
This work received support from the National Natural Science Foundation of China (51774199). The authors also thank all of the coal mining enterprises for providing geological subsiding land data for this study.
Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society
PY - 2021/12/21
Y1 - 2021/12/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85121155578&partnerID=8YFLogxK
U2 - 10.1021/acsomega.1c04970
DO - 10.1021/acsomega.1c04970
M3 - Journal article
AN - SCOPUS:85121155578
SN - 2470-1343
VL - 6
SP - 34596
EP - 34605
JO - ACS Omega
JF - ACS Omega
IS - 50
ER -