横断山区（川藏铁路）自然灾害风险及综合风险评估数据集（2020）

基于中国地面逐日气象要素数据集、全国地理基础数据、人口普查数据以及30m分辨率的DEM数据、统计年鉴数据、历史灾害数据及其他相关数据，结合暴雨、洪涝、高温、雪灾、崩塌、滑坡灾害，运用主成分分析法、随机森林等多种方法计算灾害的危险性与脆弱性指标，在此基础上，构建综合灾害风险指数，并进行归一化处理。其中，横断山区考虑上述所有灾害类型，川藏铁路考虑洪涝、雪灾、崩塌、滑坡灾害。数据集包括横断山区（川藏铁路）的自然灾害危险性评图、脆弱性评价图和综合风险评价图。

Based on China's daily surface meteorological element dataset, national geographic basic data, national census data, 30-meter resolution DEM data, statistical yearbook data, historical disaster data and other relevant datasets, combined with disasters such as rainstorm, flood, high temperature, snow disaster, collapse and landslide, multiple methods including principal component analysis and random forest were employed to calculate disaster hazard and vulnerability indicators. On this basis, a comprehensive disaster risk index was constructed and normalized. Specifically, the Hengduan Mountains region covers all the aforementioned disaster types, while the Sichuan-Tibet Railway corridor only considers flood, snow disaster, collapse and landslide. The dataset comprises natural disaster hazard assessment maps, vulnerability assessment maps and comprehensive risk assessment maps for the Hengduan Mountains (Sichuan-Tibet Railway corridor).

搜集汇总

背景与挑战

背景概述

该数据集是2020年横断山区及川藏铁路沿线自然灾害风险的综合评估数据，空间分辨率为100m-1km，数据大小为499.84 MB。它基于多源数据（如气象、地理、人口和DEM数据），采用主成分分析法和随机森林等方法，评估了暴雨、洪涝、高温、雪灾、崩塌、滑坡等灾害的危险性和脆弱性，并生成了综合风险评价图，为区域灾害风险管理提供科学依据。数据以Geotiff格式存储，适用于ArcGIS等遥感软件处理。