ISSN 1000-3665 CN 11-2202/P
    曲雪妍,李媛,房浩,等. 基于时空维度耦合的地质灾害发育程度评价研究[J]. 水文地质工程地质,2022,49(1): 137-145. DOI: 10.16030/j.cnki.issn.1000-3665.201912061
    引用本文: 曲雪妍,李媛,房浩,等. 基于时空维度耦合的地质灾害发育程度评价研究[J]. 水文地质工程地质,2022,49(1): 137-145. DOI: 10.16030/j.cnki.issn.1000-3665.201912061
    QU Xueyan, LI Yuan, FANG Hao, et al. A study of the evaluation of geo-hazards development degree based on time-space coupling[J]. Hydrogeology & Engineering Geology, 2022, 49(1): 137-145. DOI: 10.16030/j.cnki.issn.1000-3665.201912061
    Citation: QU Xueyan, LI Yuan, FANG Hao, et al. A study of the evaluation of geo-hazards development degree based on time-space coupling[J]. Hydrogeology & Engineering Geology, 2022, 49(1): 137-145. DOI: 10.16030/j.cnki.issn.1000-3665.201912061

    基于时空维度耦合的地质灾害发育程度评价研究

    A study of the evaluation of geo-hazards development degree based on time-space coupling

    • 摘要: 在现有地质灾害综合评价指标体系中,地质灾害发育程度评价因子只包括反映空间维度的点数量、点密度、体积数、体积密度等,不包括反映时间维度的评价因子。文章引入反映时间维度的受灾年份因子充实之。通过对地质灾害体积取中位数对数法、对受灾年份采用概率密度法进行处理和采用熵权法确定评价因子权重来建立时空耦合评价模型;采用斜率法将评价结果划分为高、较高、中、低四级,以反映已发生灾害的发育状况。选取2011—2020年已发生的地质灾害点,评价区域为除香港特别行政区、澳门特别行政区、台湾地区以外的全国31个省份,按此方法对以县域为单元的地质灾害发育程度进行评价与区划。结果表明:地质灾害高发育区共323个县,涉及19个省(自治区、直辖市),主要分布在东南、西南、西北等地。较高发育区共566个县,涉及25个省(自治区、直辖市),主要分布在西南、中南、东南等地。中发育区623个县,涉及30个省(自治区、直辖市),主要包括西北、华北等地。低发育区共1336个县,涉及30个省(自治区、直辖市),主要包括华北、东北、华东等地。本次评价结果与国家防灾部署、灾害发育分布具有较高的吻合度。野外实地调研证明,引入受灾年份后的评价结果较引入前更符合实际情况。

       

      Abstract: The geo-hazards comprehensive evaluation index system was established in the early stage of the team, and the number, the number density, the volume and the volume density, which reflect the spatial dimension, are used to evaluate the development degree of geo-hazards, excluding the evaluation factors reflecting the time dimension. In this paper, disaster years reflecting the time dimension are introduced to enrich the development degree evaluation system of geo-hazards. The median logarithmic method and probability density distribution are respectively used to processing data of disaster years and volume, and the entropy weight is used to determine the weight of evaluation factors. The evaluation models are established and the evaluation results are divided into four levels by the slope method, reflecting the development status of disasters. The geo-hazards occurred in 31provinces in China (excluding Hong Kong, Macao and Taiwan) from 2011 to 2020 are taken as examples, the development degree of geo-hazards (landslide, collapse and debris flow) is evaluated and divided according to this method. The results show that the geo-hazards high development areas cover 323 counties in total, involving 19 provinces, mainly occurring in Southeast China, Southwest China and Northwest China. The sub-high development areas cover 566 counties in total, involving 25 provinces, mainly occurring in Southwest China, South Central China and Southeast China. The moderately development areascover 623 counties in total, involving 30 provinces, mainly occurring in Northwest China and North China. The low development areas cover 1336 counties in total, involving 30 provinces, mainly occurring in North China, Northeast China and East China. When compared with the national disaster prevention deployment situation or the geo-hazards distribution, the evaluation results are in good agreement with the reality. In addition, through field investigation, the evaluation results are more consistent with the actual situation.

       

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