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首页> 外文期刊>Journal of Hydrology >A GIS-based model of potential groundwater yield zonation for a sandstone aquifer in the Juye Coalfield, Shangdong, China
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A GIS-based model of potential groundwater yield zonation for a sandstone aquifer in the Juye Coalfield, Shangdong, China

机译：山东山东省山地煤矿砂岩含水层潜在地下水屈服区土地区含GIS基于GIS的潜在地下水区划

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摘要

Resolving the potential groundwater yield zonation of sandstone aquifers occurring at depths of several hundred meters has been an important and challenging objective of the hydrogeological research focused on preventing flood hazards in coal mines. Using accessible geological exploration data we put forward a method of predicting the spatial distribution of groundwater storage potential in sandstone aquifers from Permian-age coal deposits in Juye Coalfield, Shangdong, China. A Geological, Tectonic and Lithological Composition Index (GTLCI) model was created using the following parameters: sandstone depth and thickness, faults length density (FaLD), faults density (FaD), fault frequency density (FaFD), fault scale density (FaSD), variation coefficient of the slope (VCS) of the coal seam, intensity index of folds in horizontal direction (IIFoH), and lithological composition index (LCI). Each of these factors was subsequently divided into 5 classes. The analytic hierarchy process (AHP) and trapezoidal fuzzy number (TFN) method was applied to calculate the weight of the conditioning factor and their respective sub-classes. Groundwater yield potential contour map, which was initially constructed using the GTLCI values revealed four groundwater abundance zones. The map was further refined by taking into account hydro geologic data collected during mining activities. The GTLCI model predictive success rate of 80% was explained by the limited number of boreholes available for validation. It is considered that the GTLCI model is effective at predicting zonation of groundwater yield in the sandstone aquifers from Permian-age coal deposits in Juye Coalfield, China. (C) 2017 Elsevier B.V. All rights reserved.
机译：解决在数百米深度的砂岩含水层的潜在地下水屈服区分区是水文地质研究的一个重要而充满挑战的目标，重点是预防煤矿洪水危害。使用可访问的地质勘探数据，我们提出了一种预测山地山区山区煤矿矿床地下水含水层地下水储存潜力空间分布的方法。使用以下参数产生地质，构造和岩性组成指数（GTLCI）模型：砂岩深度和厚度，故障长度密度（FALD），故障密度（FAD），故障频率密度（FAFD），故障尺度密度（FASD） ，煤层的斜率（Vcs）的变化系数，水平方向上折叠强度指数（IIFOH）和岩性成分指数（LCI）。随后将这些因素中的每一个分为5个课程。应用分析层次处理（AHP）和梯形模糊数（TFN）方法来计算调节因子及其各自的子类的重量。地下水产量潜在轮廓图，最初使用GTLCI值构建，显示出四个地下水丰度区域。通过考虑在采矿活动期间收集的水电地质数据进一步改进地图。通过可用于验证的有限数量的钻孔来解释GTLCI模型预测成功率80％。据认为，GTLCI模型有效地预测柴斯山矿物砂岩含水层的地下水产量分区，中国果实煤田山矿地区。 （c）2017年Elsevier B.V.保留所有权利。

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  • 来源
    《Journal of Hydrology》 |2018年第2018期|共14页
  • 作者

    Yin Huiyong; Shi Yongli; Niu Huigong; Xie Daolei; Wei Jiuchuan; Lefticariu Liliana; Xu Shuanxiang;

  • 作者单位

    Shandong Univ Sci &

    Technol Coll Earth Sci &

    Engn Shandong Prov Key Lab Deposit Mineralizat &

    Sedim Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Earth Sci &

    Engn Shandong Prov Key Lab Deposit Mineralizat &

    Sedim Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Earth Sci &

    Engn Shandong Prov Key Lab Deposit Mineralizat &

    Sedim Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Earth Sci &

    Engn Shandong Prov Key Lab Deposit Mineralizat &

    Sedim Qingdao 266590 Shandong Peoples R China;

    Shandong Univ Sci &

    Technol Coll Earth Sci &

    Engn Shandong Prov Key Lab Deposit Mineralizat &

    Sedim Qingdao 266590 Shandong Peoples R China;

    Southern Illinois Univ Dept Geol Carbondale IL 62901 USA;

    Shandong Xinjulong Energy Co Ltd Heze 272200 Shandong Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水文科学（水界物理学）;
  • 关键词

    Potential groundwater yield zone; GIS; Sandstone aquifers; Coal deposits; China;

    机译：潜在地下水产量区;GIS;砂岩含水层;煤矿;中国;

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