全球重大洪水灾害典型案例数据集（2018.01-2018.12）

该数据集分析了2018-2019年全球典型洪水灾害事件的时空分布规律、影响及损失情况。2018年，全球洪水灾害发生次数共109起，死亡人口1995人，受灾人口总数达1262万人次，直接经济损失约为45亿美元，在全球近30年中处于较低水平。2018年全球洪灾事件发生次数上半年较下半年多，5月至7月发生频次较高。因此，以2018年美国弗罗伦斯飓风洪水、2018年尼日利亚尼日尔河洪水及2018年中国山东寿光洪水等三个典型灾害事件为案例，从灾害背景、致灾因子、受灾情况等方面进行了分析。

This dataset analyzes the spatiotemporal distribution patterns, impacts and loss situations of typical global flood disaster events during 2018-2019. In 2018, there were a total of 109 global flood disasters, causing 1,995 fatalities, affecting a total of 12.62 million people, with direct economic losses amounting to approximately 4.5 billion USD, which was at a relatively low level over the past 30 years globally. The number of global flood events in the first half of 2018 was higher than that in the second half, with a relatively high occurrence frequency from May to July. Therefore, three typical disaster events were selected as cases for analysis from the perspectives of disaster background, disaster-causing factors and affected conditions, namely the Hurricane Florence flood in the United States in 2018, the Niger River flood in Nigeria in 2018, and the Shouguang flood in Shandong, China in 2018.

搜集汇总

背景与挑战

背景概述

该数据集收录了2018年全球重大洪水灾害典型案例，包括洪水淹没区、灾损情况和降雨量等数据，以矢量文件和栅格文件形式存储。数据集还提供了灾害事件的时空分布规律、影响及损失情况的分析。