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Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study
[Image: see text] With the increase in mining depth, the hydrogeological conditions of mines become more complex, which leads to higher possibility and harmfulness of water inrush accidents and brings great challenges to mine safety. It is particularly important to accurately evaluate the risk of mi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655929/ https://www.ncbi.nlm.nih.gov/pubmed/34901616 http://dx.doi.org/10.1021/acsomega.1c04357 |
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author | Liu, Weitao Han, Mengke Meng, Xiangxi Qin, Yueyun |
author_facet | Liu, Weitao Han, Mengke Meng, Xiangxi Qin, Yueyun |
author_sort | Liu, Weitao |
collection | PubMed |
description | [Image: see text] With the increase in mining depth, the hydrogeological conditions of mines become more complex, which leads to higher possibility and harmfulness of water inrush accidents and brings great challenges to mine safety. It is particularly important to accurately evaluate the risk of mine water inrush. In order to study and prevent the floor water disaster of coal mines, it is necessary to correctly evaluate the risk of water inrush according to the limited borehole data. Based on the six main factors affecting water inrush, such as the seam dip angle, fault fractal dimension, key-strata thickness, water pressure, mining depth, and dip length, a comprehensive evaluation index system of floor water inrush risk is established in this paper. In the first step, we combine the combination weight method based on game theory with the cloud model to calculate the risk level of water inrush at each borehole location. In the second step, the risk level is displayed in a geographic information system, and the single index and comprehensive zoning map of water inrush risk in the study area are established to provide scientific guidance for mine water disaster prevention and control in this area. Through the case study of the Yangcheng Coal Mine, the whole process is further expounded. The results show that the five actual water inrush points in the Yangcheng Coal Mine are located in the dangerous area (grade IV) and the relatively dangerous area (grade III), which verifies the effectiveness of this method. At the same time, the evaluation results show that water pressure has great influence on floor water inrush. |
format | Online Article Text |
id | pubmed-8655929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-86559292021-12-10 Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study Liu, Weitao Han, Mengke Meng, Xiangxi Qin, Yueyun ACS Omega [Image: see text] With the increase in mining depth, the hydrogeological conditions of mines become more complex, which leads to higher possibility and harmfulness of water inrush accidents and brings great challenges to mine safety. It is particularly important to accurately evaluate the risk of mine water inrush. In order to study and prevent the floor water disaster of coal mines, it is necessary to correctly evaluate the risk of water inrush according to the limited borehole data. Based on the six main factors affecting water inrush, such as the seam dip angle, fault fractal dimension, key-strata thickness, water pressure, mining depth, and dip length, a comprehensive evaluation index system of floor water inrush risk is established in this paper. In the first step, we combine the combination weight method based on game theory with the cloud model to calculate the risk level of water inrush at each borehole location. In the second step, the risk level is displayed in a geographic information system, and the single index and comprehensive zoning map of water inrush risk in the study area are established to provide scientific guidance for mine water disaster prevention and control in this area. Through the case study of the Yangcheng Coal Mine, the whole process is further expounded. The results show that the five actual water inrush points in the Yangcheng Coal Mine are located in the dangerous area (grade IV) and the relatively dangerous area (grade III), which verifies the effectiveness of this method. At the same time, the evaluation results show that water pressure has great influence on floor water inrush. American Chemical Society 2021-11-19 /pmc/articles/PMC8655929/ /pubmed/34901616 http://dx.doi.org/10.1021/acsomega.1c04357 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Liu, Weitao Han, Mengke Meng, Xiangxi Qin, Yueyun Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study |
title | Mine Water Inrush Risk Assessment Evaluation Based
on the GIS and Combination Weight-Cloud Model: A Case Study |
title_full | Mine Water Inrush Risk Assessment Evaluation Based
on the GIS and Combination Weight-Cloud Model: A Case Study |
title_fullStr | Mine Water Inrush Risk Assessment Evaluation Based
on the GIS and Combination Weight-Cloud Model: A Case Study |
title_full_unstemmed | Mine Water Inrush Risk Assessment Evaluation Based
on the GIS and Combination Weight-Cloud Model: A Case Study |
title_short | Mine Water Inrush Risk Assessment Evaluation Based
on the GIS and Combination Weight-Cloud Model: A Case Study |
title_sort | mine water inrush risk assessment evaluation based
on the gis and combination weight-cloud model: a case study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655929/ https://www.ncbi.nlm.nih.gov/pubmed/34901616 http://dx.doi.org/10.1021/acsomega.1c04357 |
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