极端降水灾害危险性空间分布数据集（2020）

此数据集以1984-2018年全球地表水数据（WOD）为基础，选取了极端降水频率指标和极端降水强度指标，结合ArcGIS中的空间分析方法，构建评估了34个关键节点在极端降水条件下发生洪涝灾害的危险性等级。34个关键节点百里级危险性评估数据集评估了“一带一路”重点区域在极端降水事件下的洪涝灾害危险性，为当地政府部门决策提供依据，同时以便在洪涝灾害发生前进行预警，从而可以争取到宝贵的时间采取防灾减灾措施，降低洪涝灾害所带来的人民群众生命财产损失。

This dataset is developed based on the global surface water data (WOD) from 1984 to 2018. It selects extreme precipitation frequency and intensity indicators, and uses spatial analysis methods in ArcGIS to construct and assess the flood disaster risk levels of 34 key nodes under extreme precipitation conditions. The hundred-li-level risk assessment dataset covering these 34 key nodes evaluates the flood disaster risks in the key areas of the Belt and Road Initiative under extreme precipitation events. It provides decision-making support for local government departments, enables early warning prior to the occurrence of flood disasters, thereby gaining valuable time to take disaster prevention and mitigation measures, and reducing the loss of people's lives and property caused by flood disasters.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对“一带一路”区域34个关键节点的极端降水灾害危险性空间分布数据集，基于1984-2018年全球地表水数据，结合极端降水频率和强度指标，通过ArcGIS空间分析评估洪涝灾害危险性等级。数据具有10m-100m的高空间分辨率，时间覆盖2015至2020年，旨在为灾害预警和决策提供科学依据，支持防灾减灾措施以减少生命财产损失。