基于信息量模型的盘州市地质灾害易发性评价
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P694

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贵州省科技计划项目([2012]3058)、贵州省科技支撑计划项目([2016]2595-2)


Geological Hazard Risk Assessment Based on Information Quantity Model in Panzhou City
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Guizhou Science and Technology Plan Project ([2012]3058),Guizhou Science and Technology Support Plan Project ([2016]2595-2)

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    摘要:

    地质灾害易发性评价是区域灾害防治的前期工作。构建一个符合区域地质环境的灾害评价体系对评价结果的准确性和区域适用性起决定性作用。在对区域地质灾害调查分析后,文章选取了降雨、坡度、岩性等8个影响因素,利用信息量模型对盘州市进行地质灾害易发性评价。结果显示:盘州市地质灾害主要分布在河流沿岸、靠近道路和断层相对集中的区域;易发性高和较高区域呈带状分布,占盘州市国土面积的38.62%;随易发程度的升高,各区域分布的灾害点数量增多,灾积比也逐渐增大,说明评价结果与研究区地质灾害分布的实际情况相符,分区划分合理,可为盘州市灾害防治提供参考。

    Abstract:

    The vulnerability evaluation of geological disasters is the preliminary work of prevention and control of regional disasters. The construction of a disaster assessment system in accordance with the regional geological environment plays a decisive role in the accuracy of the evaluation results and the applicability of the region. After the investigation and analysis of regional geological disasters, eight influencing factors, such as rainfall, slope and lithology, were selected to evaluate the vulnerability of geological disasters in Panzhou City by using the information model. The results show that the geological disasters in Panzhou City are mainly distributed along the river coast, near the roads and faults, and the susceptible and high disaster-prone areas were distributed in bands, accounting for 38.62% of the land area of Panzhou City. With the vulnerability increasing, to rise the number of disaster points distributed in each region, and to grow gradually the percentage of the geological hazards sites of the whole area, which indicates that the evaluation results are consistent with the actual situation of geological disaster distribution in the study area, and the division is reasonable.The results of this study can provide a reference for disaster prevention and control in Panzhou City.

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鲁霞,兰安军,母浩江,等. 基于信息量模型的盘州市地质灾害易发性评价[J]. 科学技术与工程, 2020, 20(14): 5544-5551.
Lu Xia, Lan Anjun, Mu Haojiang, et al. Geological Hazard Risk Assessment Based on Information Quantity Model in Panzhou City[J]. Science Technology and Engineering,2020,20(14):5544-5551.

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  • 收稿日期:2019-08-21
  • 最后修改日期:2020-02-09
  • 录用日期:2019-11-11
  • 在线发布日期: 2020-06-11
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