共查询到18条相似文献，搜索用时 156 毫秒
1.
针对传统的AHP型脆弱性指数法在权重确定方面的不足,采用熵权法对其改进,将熵权法计算的客观权重与AHP法计算的主观权重进行加权平均,综合确定各主控因素诱发突水的权重比例。在综合分析长平煤矿水文地质资料的基础上,应用GIS建立主控因素专题图并进行归一化处理,运用基于GIS的改进AHP型脆弱性指数法确定各主控因素权重,建立井田西部3号煤底板奥灰突水危险性评价模型。利用自然间断点分级法确定了分区阈值,将研究区按突水危险性的相对大小分为5个区域。评价结果符合实际,对煤矿安全生产具有重要的现实意义。 相似文献
2.
GIS的AHP型脆弱性指数法在李雅庄矿底板突水评价中的应用 总被引：2，自引：0，他引：2
山西霍州矿区李雅庄煤矿石炭系太原组K2灰岩岩溶发育,加之区内断裂构造发育,水文地质条件较为复杂。为解决上组2号煤底板太灰突水评价难题,采用GIS的AHP型脆弱性指数法,首先建立煤层底板突水主控因素体系,并通过GIS对主控因素数据进行采集及归一化处理,建立子专题图层,然后运用AHP法确定各主控因素的权重比例,提出煤层底板突水脆弱性的分区方案。与传统突水系数法相比,脆弱性指数法能较为全面地反映不同区域的相对脆弱关系,其评价结果更实际、可靠。 相似文献
3.
为克服层次分析法主观确权的弊端,同时避免熵权客观确权与主控因素实际重要程度相悖的错误,以山西长治三元煤矿3号煤层底板奥灰突水危险性评价为例,将熵权与层次分析耦合确定煤层底板突水主控因素权重并建立脆弱性指数模型,采用K均值聚类法对脆弱性指数值进行聚类分区,确定阈值3个,按照突水危险程度将研究区分为安全区、相对安全区、过渡区和危险区4个区域。经对比验证评价结果符合实际情况。 相似文献
4.
从地质构造、含水层、隔水层、开采条件等方面详细分析了赵官井田10煤层底板突水的影响因素,确定了断层强度指数、褶皱分维值、"底板充水含水层组"水压、"底板充水含水层组"富水性、奥灰富水性、隔水层厚度、泥岩比率、底板破坏深度8个主控因素作为10煤层底板突水危险性评价的决策指标,并建立了各主控因素专题图;运用层次分析法(AHP)确定了各主控因素的权重系数,建立了基于"脆弱性指数法"的底板突水危险性评价模型,对10煤层底板突水危险性进行了定量评价,结果表明:在井田的南部煤层露头处脆弱性指数小,突水可能性较小;在井田的北部,特别是在井田东北部,脆弱性指数大,突水危险性较大。 相似文献
5.
为有效控制煤层底板带压开采突水发生,同时解决突水系数法评价底板突水的局限性,引入灰色模糊聚类法综合评价煤层底板突水危险性。以袁店煤矿101、102采区为例,通过对10煤层水文地质条件、底板充水水源和充水通道深入分析,提取评价煤层底板突水危险性关键指标,综合考虑岩溶裂隙发育、地质构造、隔水层厚度、裂隙含水层富水性、灰岩含水层厚度5个突水主控因素,并进行底板突水危险性分区。结果表明：101采区底板突水危险性较小,102采区危险性较大。建议对102采区局部富水地段进行注浆加固,以达到防治突水的目的。 相似文献
6.
针对葛亭煤矿的构造地质和水文地质条件,利用概率神经网络岩性反演方法获得岩性数据体,该数据体包含了煤系地层到奥陶系灰岩顶部的构造、岩性和水文地质信息,构成了评价煤层突水危险性所需的基本数据。将其各种信息进行融合后对3煤层顶板的突水危险性进行定量评价：其中波阻抗反演的岩浆侵入及煤层变焦区域（含水层）与视电阻率反演结果高度一致,同时依据孔隙度反演结果证实该区域具有相应的低孔隙度反应。将该区域3煤层顶板视电阻率与孔隙度值进行乘积归一化处理,计算其突水隶属度,依此划分了该层位的突水程度。 相似文献
7.
针对当前煤层底板突水预测存在的问题,在突水概率指数法预测预报系统的基础上,用matlab开发出了一套新型煤层底板突水预测系统软件。通过对地质、水文地质等信息数据进行分析处理,从而确定导致煤层底板突水的主控因素及次级影响因素,并分别赋予其相应的权重值,将各因素在底板突水中所起的作用定量化。特别是对于不同矿区不同控制因素的影响,其相应权重值的大小可以灵活改变。建立赋权求和数学模型,绘制出各个主要控制因素的专题图,并根据各个主要控制因素的不同权重值,叠合绘制出底板突水概率指数法突水分区图。同时计算出煤层底板突水概率指数。将系统软件应用于工程实际,预测效果与实际情况相吻合。 相似文献
8.
为解决煤层顶板突水预测预报评价难题,在提出了富水性指数和突水危险性指数的基础上,以鄂尔多斯盆地西缘新上海一号煤矿为研究对象,应用富水性指数和突水危险性指数的双图,对三个采煤工作面顶板突水危险性进行评价,结果表明,采煤活动位于富水区又位于突水危险区是顶板突（涌）水的充要条件。 相似文献
9.
煤层深部开采使得煤矿底板水害事故频发,传统突水危险性评价方法评价指标单一、评价结果偏离实际的弊端逐渐显露,造成众多新型评价方法涌现。以河北省华北型煤田东欢坨矿为研究对象,选取含水层性能、隔水层性能、地质条件、煤层条件的评价因素集,综合考虑10个评价因素,建立适用于东欢坨矿的底板突水危险性评价指标体系;利用层次分析法确定各指标主观权重,利用CRITIC法确定各指标客观权重,将2者耦合得到综合权重,兼顾专家主观经验与数据客观信息,保证权重确定的全面性;引入加权秩和比法,构建评价矩阵,依据指标对评价对象所产生的优劣性影响将其分为高优型指标和低优型指标,编秩计算WRSR值,对数据进行分档排序,确定安全、较安全、较危险、危险4个评价等级区间,形成评价模型;利用GIS强大的空间管理及信息处理功能,完成结果的信息展示;将评价结果与实际工程出水位置相比较,发现突水位置都在底板突水较危险区域,并与传统评价方法突水系数法相对比,证明评价模型有效。研究成果形成了煤层底板突水危险性评价新方法,丰富煤层底板突水危险性评价方法的种类,为煤矿防治水工作者提供新思路。 相似文献
10.
GIS在刘桥二矿煤层底板突水预测中的应用 总被引：5，自引：1，他引：4
在介绍GIS应用于煤矿底板突水预测方法、步骤的基础上,以皖北矿务局刘桥二矿为例,建立了预测煤层底板突水的多因素突水模式,对突水危险性进行了分区预测,取得了较好效果,为煤层底板突水预测提供了一条新的途径。 相似文献
11.
深埋煤层采场顶板泥砂溃涌灾害是由于泥岩顶板遇水发生松散崩解，在矿压作用下泥砂集中溃入井下的综合性灾害，其灾害发生受到含水层、矿山压力、地质构造等多因素影响。以黄陇煤田照金煤矿为研究区，在灾害发生机理研究的基础上，讨论了灾害发生的主要影响因子，最终选取洛河组含水层富水性、煤层到洛河组含水层距离、宜君组砾岩厚度、煤层上覆杂色泥岩厚度、煤层到杂色泥岩距离、单位面积断层密度、褶皱构造分布和煤层开采厚度8个主控因素，采用层次分析权重赋值方法，确定影响灾害发生的各主控因素权重，构建煤层顶板泥砂溃涌灾害危险性评价数学模型；绘制主控因素专题图并进行栅格赋值，通过信息融合叠加方法将各因素进行叠加，最终形成多源信息融合的照金煤矿煤层顶板泥砂溃涌灾害综合分区。研究结果表明，照金煤矿ZF202工作面所在区域该类灾害发生的危险性高，与实际开采过程中曾发生的“4·25”重大事故发生区域较为吻合，说明本次危险性评价模型构建合理，分区结果可用于指导矿井的开采布设与泥砂溃涌灾害防治。移动阅读 相似文献
12.
Mining-induced water inrush is a sudden and destructive underground disaster caused by a mining disturbance. This disaster occurs frequently in the northern region of Shaanxi province in China due to overburden fractures in shallow seam mining, which pose a great threat to residents’ safety. It is therefore essential to construct an accurate prediction model. This study first applies selection hierarchy analysis to the main controlling factors of roof water inrush to study their weights using an analytic hierarchy process (AHP) including five factors: surface water catchment features, wateriness of the aquifer, water-resistant characteristics of aquiclude, combined influence of overburden, and mining disturbance characteristics. The grey relational analysis (GRA) method is used to calculate the correlation degree of each water inrush. The AHP-GRA method presents a comprehensive evaluative model combining the advantages of both approaches to analyze mining safety. Qualitative and quantitative indicators of the roof water inrush prediction model in shallow seam mining are established. Secondly, risk prediction of roof water inrush points and comprehensive water inrush is determined using engineering examples from the Hanjiawan coal mine. Results indicate that during safety mining, water inflow data are consistent with our prediction, thereby substantiating the model’s accuracy and providing a new method for predicting roof water inrush in shallow seam mining. 相似文献
13.
The prediction and prevention of floor water inrush is directly related to the safety of the coal mine production. The previous evaluation method of floor water inrush was more one-sided and lacked main control factors related to mining conditions. In order to evaluate the floor water inrush more accurately, under the project background of geological data of Wanglou coal mine, stope width, mining depth, fault scale index, water pressure, water abundance and thickness of aquifer were selected as main controlling factors of floor water inrush. Combined with the subjective weight analytical hierarchy process and the objective weight variation coefficient method, the weight coefficients corresponding to the main controlling factors were obtained respectively. The thematic map of the risk assessment of coal seam floor water inrush was drawn by combining the constructed comprehensive weight vulnerability index model and geographic information system. The results show that: ① according to the actual geological data of mine, two fault related factors were removed. And stope width and mining depth were increased as the main controlling factors to evaluate floor water inrush. It is easier to compare and calculate the weight of evaluation factors. ② The constructed comprehensive weight vulnerability index model can comprehensively evaluate the risk of floor water inrush. And the results of the evaluation are more accurate. ③ The related thematic maps can directly reflect the risk of floor water inrush, which is of guiding significance for the prediction and prevention of coal seam floor water inrush. 相似文献
14.
矿山地下工程渗透变形破坏造成的典型灾害类型包括顶板突水溃砂、底板突水、防水闸墙与围岩界面渗透破坏等。本文从刘国昌先生对我国矿山水文地质工程地质学发展的奠基作用谈起,综述了矿山底板岩体渗透变形破坏突水灾害机理和防控技术进展。回顾了煤矿底板突水系数提出、改进和应用的历史,从底板渗透变形破坏产生的渗透力学机理重新阐释了突水系数的物理含义。基于底板岩体结构临界抗渗水力坡度建立了抗渗安全系数突水判别方法,其底板临界抗渗水力坡度可由半经验方法估算。在对底板突水评价方法演进分析的基础上,提出了底板危险源辨识和突水危险性动态评价方法。对底板突水灾变的主动防控措施的防控原理及效果评估方法进行了分析。最后,讨论了矿山底板渗透稳定性方面需要进一步深入研究的科学问题。 相似文献
15.
煤层顶底板突水危险性预测与评价是煤矿突水灾害防治的基础和依据。针对煤层底板隔水介质条件,分析了煤系岩石力学性质,煤层底板突水的岩性、结构和厚度特征,建立了煤层底板突水危险性评价理论和方法。研究表明:煤层底板隔水介质条件取决于隔水层岩性和断裂构造,随着底板泥岩含量增加,煤层底板隔水性能增高,但抗水压能力降低;随着断裂发育程度的增加,底板隔水层由完整结构、块裂结构到碎裂结构和松散结构,煤层底板抗水压能力和隔水性能均降低,突水危险性增大。煤层底板抗水压能力与煤层底板隔水层厚度密切相关,统计表明,煤层底板受的极限水压p与底板隔水层厚度h之间为2次幂函数关系。在传统突水系数的基础上考虑了隔水层的岩性和结构特征,提出了煤层底板突水危险评价分类;进一步根据水压Pw与岩体破裂压力Pc关系和水压Pw与最小主应力σhmin关系判断是否突水。 相似文献
16.
为了研究以煤层顶板弱富水含水层为直接充水水源的顶板透水机理,并探索防治方法,以宁夏宁东煤田红柳煤矿1121工作面开采期间发生的4次大规模透水为切入点,通过理论分析、数值模拟并结合井下钻探等工程技术手段,得出该工作面透水是由煤层开采后顶板岩移形成的次生离层水体引发,提出了煤层顶板覆岩中隔水关键层是造成次生离层水体透水的必要条件;研究了隔水关键层位置、尺寸及其水理性质对次生离层水体周期性透水的控制作用;确定了临界隔水关键层厚度为18 m,并提出了次生离层水体致灾前疏放的最佳时机为次生离层水体形成且周期垮落前,最佳位置垂向上为煤层A主隔水关键层顶板,平面上位于下顺槽距煤帮1/6~1/3工作面斜长范围。 相似文献
17.
Based on the analysis of the hydrogeological conditions and water burst (inrush) conditions on 15# coal seam roof of Shigejie coal mine of Shanxi Lu’an Group, this article evaluated the water burst (inrush) risks on 15# coal seam roof of Shigejie coal mine with the multi-source information composite technology and marked out the zones with medium and small water burst (inrush) risks on 15# coal seam roof of Shigejie coal mine. The targeted water prevention and control measures were proposed in accordance with the results of research evaluation 相似文献
18.
The no. 11 coal seam in the deep area of Hancheng mining area is mining in recent years, which is threatened by the water inrush from the Ordovician limestone aquifer. Coal-floor water inrush is governed by the water abundance of coal-floor aquifer, the water-resisting performance of coal-floor aquitard, and the pathway connecting the water source and the working face. To make an accuracy risk assessment of water inrush from the no. 11 coal seam floor, a GIS-based vulnerability index method (VIM) is adopted for its superior comprehensive consideration of more controlling factors, powerful spatial analysis, and intuitively display functions. This study firstly established an index system including the water pressure of the coal-floor aquifer, the unit water inflow, the thickness, the core recovery percentage, the thickness ratio of brittle rocks to ductile rocks, the thickness of effective aquitard, and the accumulated length of faults and folds, of which the former six indexes governed the water abundance of the coal-floor aquifer which was combined with the last two factors to determine the risk of coal-floor water inrush. Secondly, the thematic map of each controlling factor is established by GIS using the geological prospecting data, and the weight of each factor is determined by the analytic hierarchy process (AHP) after consulting the expert review panel. At last, a vulnerability index is obtained and used to assess the risk of coal-floor water inrush of the no. 11 coal seam. The risk of water inrush of the no. 11 coal seam of the study area was ranked to three zones: the southeastern shallow area in red color is the dangerous zone, the wide northwestern area in green color is the safe zone, and the transition area in yellow color is the moderate-risk zone. Compared with the actual water-inrush incidents, the risk assessment result was verified to achieve an accuracy of 82.35%, which is proved to be a dependable reference for the prevention and controlling of coal-floor water inrush of the no. 11 coal seam in Hancheng mining area. 相似文献