Vulnerability refers to a property of the system that is susceptible to changes in structure and function due to the system's sensitivity to internal and external disturbances and its lack of ability to respond, that is, the ability of the region to cope with disasters to reduce losses when heat waves occur. This dataset is based on the pan-third pole regional road network data, GDP data, medical facility spatial distribution data, vegetation coverage data, and water distribution data as basic data,and takes 2015 as the base year. The Euclidean Metric calculation method is adopted to determine the spatial distribution of road networks, water and medical facilities in the area. The distance from roads, water bodies, medical facilities, GDP, and vegetation coverage are used as evaluation indicators. The equal-weight overlapping addition is used to evaluate the vulnerability of heat waves at each node. In order to eliminate the impact of unit differences, the data of each index layer is normalized before the evaluation.Finally, the vulnerability level of each node is divided by the natural Jenks method.

File naming and required software

Raster form, can use ArcGIS, ENVI and so on open view and analysis.

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Cite as:

Ge, Y., Yang, F., Liu, Q. (2020). Heat wave vulnerability data set of 34 key nodes in 2015. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270426. CSTR: 18406.11.Meteoro.tpdc.270426. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Carrão, H., Naumann, G., & Barbosa, P. (2016). Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability. Global Environmental Change, 39, 108–124. https://doi.org/https://doi.org/10.1016/j.gloenvcha.2016.04.012.( View Details | Download | 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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