Based on 2015 as the base year, this data set selects population density, distribution of high-risk population and GDP as the evaluation indicators to complete the assessment of high temperature heat wave exposure at 34 key nodes. Exposure refers to the degree that a certain area may be affected by the disaster when the disaster occurs. In the extreme high temperature, human and economy are the two most obvious factors affected by the high temperature heat wave. The high-risk population is defined as children younger than five years old and the elderly older than 65 years old respectively. Equal weight overlapping plus method is adopted in the assessment. In order to eliminate the influence of unit difference, the data of each indicator layer is normalized before the assessment. The spatial resolution of the assessment result is 100m, covering 34 key nodes of the third pole.

File naming and required software

File name: data is stored in TIF, grid form. The file name is "country + exposure. TIF", for example: Vientiane exposure. TIF, which represents the exposure grid data of Vientiane.
Data reading method: ArcGIS, ENVI and other software can be used to open the view and analysis.

Data Citations Data citation guideline What's data citation?

Cite as:

Ge, Y., Yang, F., Liu, Q. (2020). Heat wave exposure data set of 34 key nodes in Pan-Third Pole (2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270405. CSTR: 18406.11.Meteoro.tpdc.270405. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Alegana V A , Atkinson P M , Pezzulo C , et al. (2015). Fine resolution mapping of population age-structures for health and development applications. Journal of The Royal Society Interface, 12(105), 20150073-20150073.( View Details | Download | 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)