青藏高原全区域100m多灾种综合人口风险数据（2021）

本数据采用由滑坡崩塌灾害致灾因子、滑坡崩塌易发性模型，暴露人口和人口伤亡率四大模块共同构成的多灾种人口综合风险评估模型。致灾因子模块包括DEM、坡度、降雨、气温、积雪覆盖度、GDP、植被覆盖度因素。滑坡灾害崩塌易发性模型是利用logistic回归模型进行统计分析，得到滑坡崩塌灾害易发概率值。人口暴露度模块是利用滑坡崩塌灾害易发性值与人口数据叠乘。人口伤亡率模块是基于滑坡崩塌灾害历史伤亡人口与同时期滑坡崩塌灾害暴露人口的比值得到。最后，代入2021年人口数据，计算滑坡崩塌灾害易发性不同等级下的暴露人口，并与历史时期滑坡崩塌灾害人口伤亡率相乘，评估青藏科考区多灾种人口综合风险。

This dataset employs a multi-hazard comprehensive population risk assessment model composed of four modules: hazard-inducing factors of landslide and collapse disasters, landslide and collapse susceptibility model, population exposure, and population casualty rate. The hazard-inducing factors module includes DEM, slope gradient, rainfall, air temperature, snow cover fraction, GDP, and vegetation coverage fraction. The landslide and collapse susceptibility model uses the logistic regression model for statistical analysis to obtain the susceptibility probability values of landslide and collapse disasters. The population exposure module is implemented by multiplying the landslide and collapse susceptibility values with population data. The population casualty rate module is calculated based on the ratio of the historical casualty population of landslide and collapse disasters to the exposed population of such disasters in the same period. Finally, by substituting the 2021 population data, the exposed population under different grades of landslide and collapse disaster susceptibility is calculated, then multiplied by the population casualty rates of landslide and collapse disasters in historical periods to assess the multi-hazard comprehensive population risk in the Qinghai-Tibet Scientific Expedition Area.

搜集汇总

背景与挑战

背景概述

该数据集是2021年青藏高原全区域的多灾种综合人口风险数据，空间分辨率为100米，基于滑坡崩塌灾害的致灾因子、易发性模型、人口暴露度和伤亡率模块构建风险评估模型。它结合了DEM、坡度、降雨等多种自然因素和人口数据，用于评估该地区的人口风险，并以栅格格式提供，适用于ArcGIS和QGIS等软件。