伍艳丽, 李文平, 谢朋, 杨文丰, 代松. 2016: 陕北生态脆弱区环境工程地质模式分区预测. 工程地质学报, 24(s1): 990-995. DOI: 10.13544/j.cnki.jeg.2016.s1.143
    引用本文: 伍艳丽, 李文平, 谢朋, 杨文丰, 代松. 2016: 陕北生态脆弱区环境工程地质模式分区预测. 工程地质学报, 24(s1): 990-995. DOI: 10.13544/j.cnki.jeg.2016.s1.143
    WU Yanli, LI Wenping, XIE Peng, YANG Wenfeng, DAI Song. 2016: ZONING PREDICTION OF ENVIRONMENTAL ENGINEERING GEOLOGICAL PATTERN IN ECOLOGICALLY FRAGILE AREA OF SHAANXI. JOURNAL OF ENGINEERING GEOLOGY, 24(s1): 990-995. DOI: 10.13544/j.cnki.jeg.2016.s1.143
    Citation: WU Yanli, LI Wenping, XIE Peng, YANG Wenfeng, DAI Song. 2016: ZONING PREDICTION OF ENVIRONMENTAL ENGINEERING GEOLOGICAL PATTERN IN ECOLOGICALLY FRAGILE AREA OF SHAANXI. JOURNAL OF ENGINEERING GEOLOGY, 24(s1): 990-995. DOI: 10.13544/j.cnki.jeg.2016.s1.143

    陕北生态脆弱区环境工程地质模式分区预测

    ZONING PREDICTION OF ENVIRONMENTAL ENGINEERING GEOLOGICAL PATTERN IN ECOLOGICALLY FRAGILE AREA OF SHAANXI

    • 摘要: 陕北生态脆弱区煤炭资源埋藏浅、厚度大,其井下开采对地表生态环境影响更为敏感和剧烈,极易导致严重的环境工程地质问题。以红柳林井田为例,综合煤层开采对水资源影响的主要因素及其量化指标,对研究区进行了保水采煤环境工程地质模式分区预测。选取煤层厚度、红土厚度、黄土厚度、基岩厚度和煤层与潜水的间距等作为研究环境工程地质模式的关键因素,运用人工神经网络方法,在GIS平台下构建了基于多元信息的红柳林井田环境工程地质模式评价模型,对研究区进行了环境工程地质模式分区预测。结果表明,研究区存在4种环境工程地质模式类型,即环境友好型、环境渐变恢复型、环境渐变恶化型及环境灾变型。

       

      Abstract: Ecologically fragile area of northern Shaanxi has coal resources with large mining thicknesses and shallow burial depths, so surface ecological environment is more sensitive and dramatic impact caused by underground mining, and it can easily lead to serious environmental engineering geological problems. Hongliulin was taken as a case study, and considered the main conditioning factors impacts on water resourcesand their quantitative indicators caused by coal mining, environmental engineering geological pattern of water contain with coal mining was mapped for the study area. Based on characteristic analysis of environmental engineering geology pattern types, we discussed the impact factors of environmental engineering geological pattern, and selected the thickness of seam, the thickness of laterite, the thickness of loess, the thickness of cover rock, and the spacing between seam and phreatic water, as the key impact factors of environmental engineering geological model. Using artificial neural network, evaluation model of environmental engineering geological patternin Hongliulin mine filed in GIS platform was built. And the environmental engineering geological pattern in the study area was zoned. The results show that the study area has four kinds of environmental engineering geological patternnamely, the environment-friendly, environment gradual recovery, environment gradual deterioration, and the environmental hazardpatterntype.

       

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