四川省小流域泥石流危险性评价

发布时间：2018-04-03 18:27

本文选题：泥石流　切入点：地貌特征　出处：《地球信息科学学报》2017年12期

【摘要】：泥石流危险性评价是泥石流防灾减灾的重要内容。本文以四川省为研究区,以DEM为数据源,通过提取水流方向,计算汇流累积量,实现四川省小流域划分。基于收集的已查明泥石流流域资料,分析了泥石流孕灾环境与成灾特点,选择流域高差、流域面积为指标,建立基于能量条件的潜势泥石流流域判识模型,对划分的小流域进行判识,识别出7798个小流域具备泥石流发生所需能量条件,面积为31.1×104km2,占四川省总面积的64.18%。进而建立了泥石流危险性评价指标体系和可拓物元模型,开展了小流域泥石流危险性评价,划分了危险度等级,得到中度、高度、极高危险区的小流域个数分别为1946、1725和1002个,面积分别为9.1×104、7.7×104和3.4×104km2,中度以上危险区面积共20.2×104km2,占四川省总面积的41.67%。最后对评价结果可靠性和各等级泥石流危险区在各地市级行政区、各大流域的分布进行了分析。其结果对促进泥石流判识与危险性评价理论,区域泥石流防灾减灾与山区可持续发展等具有重要的理论和现实意义。
[Abstract]:Debris flow risk assessment is an important content of debris flow disaster prevention and mitigation.This paper takes Sichuan Province as the research area and DEM as the data source. By extracting the direction of water flow, the accumulative amount of confluence is calculated, and the division of small watershed in Sichuan Province is realized.Based on the collected data of debris flow basin, the paper analyzes the disaster environment and characteristics of debris flow, selects basin height difference and basin area as index, and establishes a potential debris flow basin recognition model based on energy condition.According to the classification of small watersheds, 7798 small watersheds have the energy conditions needed for debris flow, with an area of 31.1 脳 10 ~ 4 km ~ (2), accounting for 64.1818% of the total area of Sichuan Province.Then the index system of debris flow risk assessment and extension matter-element model are established, and the risk assessment of debris flow in small watershed is carried out. The number of small watershed in medium, high and extremely high risk areas is 1 446% 1725 and 100 2 respectively.The area was 9.1 脳 104km2 and 3.4 脳 104km2, respectively, and the area of the risk area above moderate level was 20.2 脳 104km2, accounting for 41.67km2 of the total area of Sichuan province.Finally, the reliability of the evaluation results and the distribution of debris flow risk areas are analyzed.The results have important theoretical and practical significance for promoting the theory of debris flow identification and risk assessment, regional debris flow prevention and mitigation and sustainable development of mountain areas.
【作者单位】：西南石油大学土木工程与建筑学院;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院重庆绿色智能技术研究院;
【基金】：住房和城乡建设部科技计划项目(2016-K3-024) 国家安全生产监督管理总局科技项目(2014-3281) 西藏自治区科技支撑计划项目(省809) 西南石油大学启航计划项目(2014QHZ034)
【分类号】：P642.23

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