Prediction of Dominant Roof Water Inrush Windows and Analysis of Control Target Area based on Set Pair Variable Weight - Forward Correlation Cloud Model

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Journal of Cleaner Production Pub Date : 2024-11-17 DOI:10.1016/j.jclepro.2024.144253
Wenju Cheng, Huiyong Yin, Daolei Xie, Fangying Dong, Yongjie Li, Teng Zhu, Ji Wang
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Abstract

Coal mining disturbs the roof overlying rock, forming a channel for roof water inrush. This process destroys the primary seepage state of the deep aquifer, resulting in waste and pollution of deep water resources and posing a significant threat to coal mining. Therefore, through field measurement and numerical simulation, this paper comprehensively analyzes the development law of coal seam mining overlying rock fracture, and determines the influence range of coal seam roof water inrush. Then, a set pair variable weight - forward associated cloud prediction model is constructed to predict the dominant water inrush window and seepage channel of coal seam roof, and the key protection area of coal mining roof water inrush is delineated. The results show that with the continuous advance of the coal face, the stress shifts to both sides of the face, forming a stress concentration area, and the vertical fissure develops intensively, which becomes the main channel of water inrush. After the development is stable, it is comprehensively determined that the fissure production ratio of the coal seam is 11.7, and the fracture zone extends to the aquifer area are the water inrush source. Then, through the prediction model, the edge of the danger area near the high-risk area is defined as the advantage window of coal seam roof water inrush, and the result is consistent with the actual water inrush event. Therefore, the target of water inrush in roof is determined, and the effective measures of water reduction mining are put forward. This study is of great significance for protecting deep water resources, ensuring mine safety, and creating efficiency and increasing income.
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基于集对变量权重-前向相关云模型的屋顶主要涌水窗口预测和控制目标区域分析
煤矿开采会扰动顶板上覆岩石,形成顶板水涌入通道。这一过程破坏了深部含水层的原生渗流状态,造成深部水资源的浪费和污染,对煤炭开采构成重大威胁。因此,本文通过现场实测和数值模拟,全面分析了煤层开采上覆岩层裂隙的发育规律,确定了煤层顶板涌水的影响范围。然后,构建了集对变权-正演关联云预测模型,预测了煤层顶板主要涌水窗口和渗流通道,划定了采煤顶板涌水重点保护区域。结果表明,随着采煤工作面的不断推进,应力向工作面两侧移动,形成应力集中区,垂直裂隙密集发育,成为主要的涌水通道。发育稳定后,综合确定该煤层的裂隙产水率为 11.7,裂隙带延伸至含水层区域为涌水水源。然后,通过预测模型,将高危区附近的危险区边缘确定为煤层顶板突水优势窗口,结果与实际突水事件一致。因此,确定了顶板突水的对象,提出了有效的减水开采措施。该研究对保护深部水资源、保障矿井安全、创效增收具有重要意义。
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来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
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