薄煤层开采引起的地表变形预测:四川关山煤田案例研究

Wei Cai , Linyang Li , Mengming Lin , Jingyong Wang , Ping Wang , Qingmiao Li , Zhiping Ye , Jie Zhang , Jianjun Zhao
{"title":"薄煤层开采引起的地表变形预测:四川关山煤田案例研究","authors":"Wei Cai ,&nbsp;Linyang Li ,&nbsp;Mengming Lin ,&nbsp;Jingyong Wang ,&nbsp;Ping Wang ,&nbsp;Qingmiao Li ,&nbsp;Zhiping Ye ,&nbsp;Jie Zhang ,&nbsp;Jianjun Zhao","doi":"10.1016/j.nhres.2023.09.011","DOIUrl":null,"url":null,"abstract":"<div><p>The problem of surface deformation caused by coal mining is acute and usually lasts for a long time. During coal mining, the movement of the overlying strata has a broad range of influences, which may cause surface deformation, surface cracking, and damage to structures (buildings). However, continuous deformation monitoring data are often scarce in practice, making it challenging to predict the surface deformation caused by coal mining. In this context, this paper takes Sichuan’s Guanshan coalfield as the research object and proposes a comprehensive method integrating interferometric synthetic aperture radar (InSAR) technology, the FLAC3D finite difference software, and the probability integral method to predict the surface deformation caused by mining a thin seam of coal. The results show that the trend of surface deformation estimated by the numerical simulation agrees well with the results of InSAR data and the probability integral model when using InSAR historical deformation data to invert the parameters of rock mechanics in the numerical simulation, which is beneficial to improving the reliability of the simulation results. The calculations of the probability integral method are close to the predictions of the FLAC3D numerical simulation, and a settlement deformation of 0.68 ​m is expected to occur in the Guanshan coalfield area. The comprehensive prediction method proposed in this paper effectively enhances the accuracy of surface deformation prediction under the action of mining and can provide a reference for predicting the surface subsidence of similar coal mines.</p></div>","PeriodicalId":100943,"journal":{"name":"Natural Hazards Research","volume":"4 2","pages":"Pages 255-264"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666592123000926/pdfft?md5=358cbe8ec65eccfdb954710befac4677&pid=1-s2.0-S2666592123000926-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Prediction of surface deformation induced by mining thin coal seam: A case study of Guanshan coalfield in Sichuan\",\"authors\":\"Wei Cai ,&nbsp;Linyang Li ,&nbsp;Mengming Lin ,&nbsp;Jingyong Wang ,&nbsp;Ping Wang ,&nbsp;Qingmiao Li ,&nbsp;Zhiping Ye ,&nbsp;Jie Zhang ,&nbsp;Jianjun Zhao\",\"doi\":\"10.1016/j.nhres.2023.09.011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The problem of surface deformation caused by coal mining is acute and usually lasts for a long time. During coal mining, the movement of the overlying strata has a broad range of influences, which may cause surface deformation, surface cracking, and damage to structures (buildings). However, continuous deformation monitoring data are often scarce in practice, making it challenging to predict the surface deformation caused by coal mining. In this context, this paper takes Sichuan’s Guanshan coalfield as the research object and proposes a comprehensive method integrating interferometric synthetic aperture radar (InSAR) technology, the FLAC3D finite difference software, and the probability integral method to predict the surface deformation caused by mining a thin seam of coal. The results show that the trend of surface deformation estimated by the numerical simulation agrees well with the results of InSAR data and the probability integral model when using InSAR historical deformation data to invert the parameters of rock mechanics in the numerical simulation, which is beneficial to improving the reliability of the simulation results. The calculations of the probability integral method are close to the predictions of the FLAC3D numerical simulation, and a settlement deformation of 0.68 ​m is expected to occur in the Guanshan coalfield area. The comprehensive prediction method proposed in this paper effectively enhances the accuracy of surface deformation prediction under the action of mining and can provide a reference for predicting the surface subsidence of similar coal mines.</p></div>\",\"PeriodicalId\":100943,\"journal\":{\"name\":\"Natural Hazards Research\",\"volume\":\"4 2\",\"pages\":\"Pages 255-264\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666592123000926/pdfft?md5=358cbe8ec65eccfdb954710befac4677&pid=1-s2.0-S2666592123000926-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666592123000926\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666592123000926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

煤矿开采造成的地表变形问题十分严重,而且通常会持续很长时间。在煤炭开采过程中,上覆地层的移动具有广泛的影响,可能导致地表变形、地表开裂和结构(建筑物)损坏。然而,在实际应用中,连续的变形监测数据往往很少,这给预测煤矿开采引起的地表变形带来了挑战。在此背景下,本文以四川关山煤田为研究对象,提出了一种集成干涉合成孔径雷达(InSAR)技术、FLAC3D有限差分软件和概率积分法的综合方法,用于预测薄煤层开采引起的地表变形。结果表明,在数值模拟中利用 InSAR 历史变形数据反演岩石力学参数时,数值模拟估算的地表变形趋势与 InSAR 数据和概率积分模型的结果吻合良好,有利于提高模拟结果的可靠性。概率积分法的计算结果与FLAC3D数值模拟的预测结果接近,预计关山煤田区将发生0.68 m的沉降变形。本文提出的综合预测方法有效提高了开采作用下地表变形预测的准确性,可为类似煤矿地表沉陷预测提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of surface deformation induced by mining thin coal seam: A case study of Guanshan coalfield in Sichuan

The problem of surface deformation caused by coal mining is acute and usually lasts for a long time. During coal mining, the movement of the overlying strata has a broad range of influences, which may cause surface deformation, surface cracking, and damage to structures (buildings). However, continuous deformation monitoring data are often scarce in practice, making it challenging to predict the surface deformation caused by coal mining. In this context, this paper takes Sichuan’s Guanshan coalfield as the research object and proposes a comprehensive method integrating interferometric synthetic aperture radar (InSAR) technology, the FLAC3D finite difference software, and the probability integral method to predict the surface deformation caused by mining a thin seam of coal. The results show that the trend of surface deformation estimated by the numerical simulation agrees well with the results of InSAR data and the probability integral model when using InSAR historical deformation data to invert the parameters of rock mechanics in the numerical simulation, which is beneficial to improving the reliability of the simulation results. The calculations of the probability integral method are close to the predictions of the FLAC3D numerical simulation, and a settlement deformation of 0.68 ​m is expected to occur in the Guanshan coalfield area. The comprehensive prediction method proposed in this paper effectively enhances the accuracy of surface deformation prediction under the action of mining and can provide a reference for predicting the surface subsidence of similar coal mines.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信