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基于GIS的AHP型和ANN型脆弱性指数法在底板突水评价应用中的适用性分析

Applicability Analysis of AHP and ANN Vulnerability Index Based on GIS in Coal Floor Water Inrush Evaluation

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【作者】 李哲牛鹏堃宫厚健刘守强曾一凡

【Author】 LI Zhe;NIU Peng-kun;GONG Hou-jian;LIU Shou-qiang;ZENG Yi-fan;National Coal Mine Water Disaster Prevention Engineering Technique Center,China University of Mine Technology ( Beijing);

【机构】 中国矿业大学(北京)国家煤矿水害防治工程技术研究中心

【摘要】 为了让水文地质工作者更加科学地选择底板突水危险性评价方法,首先,从理论上分析、对比了2种常用的底板突水评价方法——基于GIS的层次分析(Analytic Hierarchy Process,简称AHP)型脆弱性指数法和基于GIS的人工神经网络(Artificial Neural Network,简称ANN))型脆弱性指数法;然后,以实际矿井为研究对象,运用这2种方法对其底板进行了突水危险性评价,从评价过程中总结出两者的异同。结果表明:两者各有优缺点,应根据实际资料和需求进行合理选择。

【Abstract】 In order to select evaluation method of floor water inrush hazard scientifically for geologist,firstly,two common floor water inrush evaluation methods were compared form theoretically,which is vulnerability index AHP based on GIS and vulnerability index ANN based on GIS,and then it taking practical site as studying object,floor water inrush hazard was evaluated by the two methods,its similarities and differences of two methods were obtained during evaluation process. The results showed that the method should be selected reasonable according practical and requirement.

【基金】 国家自然科学基金(41702261);中国博士后科学基金(2016M601172);武汉市“黄鹤英才计划”联合资助项目
  • 【文献出处】 煤矿开采 ,Coal Mining Technology , 编辑部邮箱 ,2018年01期
  • 【分类号】TD745.2
  • 【被引频次】6
  • 【下载频次】225
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