| 基于分形理论的南江县滑坡敏感性分析与易发性评价 |
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| 引用本文： | 王森,许强,罗博宇,王一超,刘文德,严越.基于分形理论的南江县滑坡敏感性分析与易发性评价[J].水文地质工程地质,2017,0(3):119-126. |
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| 作者姓名： | 王森 许强 罗博宇 王一超 刘文德 严越 |
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| 作者单位： | 成都理工大学地质灾害防治与地质环境保护国家重点实验室，四川 成都 610059 |
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| 基金项目： | 国家重点基础研究发展计划（973计划）（2013CB733200）；国家创新研究群体科学基金（41521002) |
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| 摘 要： | 定量分析滑坡发生的敏感性，能为易发性区划、危险性评价、风险性评估等提供定量依据，对研究滑坡的成灾背景、发育规律具有重要意义。文章基于ArcGIS技术应用“累计和分形理论”对滑坡的敏感性进行了分析，得到各致灾因子的累计和分维值及滑坡发生对各致灾因子的敏感性；基于滑坡对致灾因子的敏感性绘制南江县易发性区划图，将南江县滑坡易发性等级分为极高易发区、高易发区、中易发区、较低易发区、极低易发区五个等级。
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| 关 键 词： | 滑坡空间分布 滑坡敏感性 分形 变维分形 易发性评价 |
| 收稿时间： | 2016-06-23 |
| 修稿时间： | 2016-09-26 |
Vulnerability analysis and susceptibility evaluation of landslides based on fractal theory in Nanjiang County |
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| WANG Sen,XU Qiang,LUO Boyu,WANG Yichao,LIU Wende,YAN Yue.Vulnerability analysis and susceptibility evaluation of landslides based on fractal theory in Nanjiang County[J].Hydrogeology and Engineering Geology,2017,0(3):119-126. |
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| Authors: | WANG Sen XU Qiang LUO Boyu WANG Yichao LIU Wende YAN Yue |
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| Affiliation: | State Key Laboratory of Geohazards Prevention and Geoenvironment Protection，Chengdu University of Technology，Chengdu，Sichuan610059，China |
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| Abstract: | Analyzing the vulnerability of occurrence of landslides with quantitative methods is significant to examine the disaster-pregnant background and the laws of development of landslides, which can provide quantitative gist for susceptibility zonation, hazard evaluation and risk assessment. This paper uses the “cumulative and fractal theory” to analyze the vulnerability of landslides based on ArcGIS technology. The cumulative and fractal values of each disaster-induced factors and the vulnerability of the occurrence of landslides for each disaster-induced factors are obtained through calculating and analyzing. Mapping susceptibility zonation of Nanjiang County based on the vulnerability of landslides for each disaster-induced factors is carried out and its susceptibility level is classified as extremely high susceptibility region, high susceptibility region, middle susceptibility region, low susceptibility region and extremely low susceptibility region. |
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