Based on the world surface water data (wod) from 1984 to 2018, this data set selects several indexes of precipitation, topography and land use type, and combines with the spatial analysis method in ArcGIS, constructs and evaluates the risk level of flood disaster in 34 key nodes under extreme precipitation conditions. One belt, one road, 34 critical nodes, is evaluated for the risk of flooding in the key areas along the extreme precipitation events. It provides a basis for local government departments to make decisions and early warning before the flood. Thus, we can gain valuable time to take measures to prevent and reduce disasters, and to reduce people's lives and property losses caused by floods. Loss.

File naming and required software

. TIFF format, which can be opened using ArcGIS

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Cite as:

Ge, Y., Li, Q., Li, Y. (2020). Spatial distribution data set of extreme precipitation disaster risk (2014-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270464. CSTR: 18406.11.Meteoro.tpdc.270464. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, Q.L., Zhang, W.C., Yi, L., Liu, J.P., & Chen, H. (2018). Accuracy evaluation and comparison of GPM and TRMM precipitation product over Mainland China. Advances in Water Science, 29(3), 303-313.( View Details | Bibtex)

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

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