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基于GIS的矿井水害预测系统研究 被引量:8

Mine Water Disaster Prediction System Research Based on GIS
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摘要 在分析矿井突水影响因素的基础上,应用信息化手段集成GIS组件技术创建了突水预测模型库,实现了突水点预测、突水危险性分区、区域预测和顶板突水预测。运用该系统对平顶山煤业集团公司五矿首采区庚一采区突水危险进行了全面评价,认为在露头附近存在突水危险性,进而有针对性采用地面物探、井下超前探测以及帷幕注浆等综合防治水措施。经过治理,突水点涌水量由350m3/h减少为40~60m3/h,不仅保证了安全生产,还解放了庚组煤炭储量573.2万t。 Based on mine water bursting impact factor analysis, by the use of information-based integrated GIS module established water bursting prediction model base and realized water bursting point prediction, water bursting hazard division, regional and coal roof water bursting prediction. We have comprehensively assessed water bursting hazard in the G1 winning area, the initial winning area of the Pingdingsban Coal Industrial Group No.5 coalmine through the use of the system. Considered that there are water bursting hazards near the buried outcrops, then proceed to use integrated water controlling measures of surface geophysical prospecting, underground advanced prospecting and curtain grouting etc. After governing, the water bursting point water inflow is cut down from 350m^3/h to 40-60m^3/h, not only to ensure safety production, but also released the Group G coal reserve of 5.732 million tons.
作者 黄国军
出处 《中国煤炭地质》 2009年第10期39-41,共3页 Coal Geology of China
关键词 矿井水害 影响因素分析 GIS SUPERMAP 突水预测 平煤五矿 mine water disaster impact factor GIS SuperMap water bursting prediction Pingdingshan Coal Industrial Group No.5 coalmine
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  • 1刘伟韬.底板突水预测专家系统研究,硕士学位论文[M].,1994,5..

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