The data set analyzes the spatial and temporal distribution, impact and loss of typical global flood disasters from 2018 to 2019. In 2018, there were 109 flood disasters in the world, with a death toll of 1995. The total number of people affected was 12.62 million. The direct economic loss was about 4.5 billion US dollars, which was at a low level in the past 30 years. The number of global flood incidents in 2018 was higher in the first half of the year than in the second half of the year, and the frequency of occurrence was higher from May to July. Therefore, based on three typical disaster events such as the hurricane flood in Florence in the United States in 2018, the flooding of the Niger River in Nigeria in 2018, and the Shouguang flood in Shandong Province in 2018, the disaster background, hazard factors, and disaster situation were analyzed. .

File naming and required software

File naming: The flooded area is stored as a vector file with the name “xxxx.shp”, and xxxx represents the flooded files in the area;
In the case of disaster damage, the land use is “xxxx.shp”, and xxxx is the English name of the land use type.
Rainfall is stored in raster form under the name "dddd.tif" and ddd is the date of the year, which is 2018 of the region's rainfall.
File reading method: If you use the icon to display it, you can open it with Arcgis.

Data Citations Data citation guideline What's data citation?

Cite as:

Jiang, Z., Jiang, W., Wu, J., Zhou, H. (2019). Typical case dataset of major global flood disasters (2018.01-2018.12). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.270209. CSTR: 18406.11.Disas.tpdc.270209. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)