Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata

Zaiyong Wang, Qi Zhang, Jianli Shao, Wenquan Zhang, Xintao Wu, Yu Lei, Xunan Wu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)34596-34605
Number of pages10
JournalACS Omega
Volume6
Issue number50
DOIs
Publication statusPublished - 21 Dec 2021
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering

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