Spatial distribution data set of extreme precipitation disaster risk in Yangon deepwater port area (2019)

Spatial distribution data set of extreme precipitation disaster risk in Yangon deepwater port area (2019)


This data set is based on the spatial distribution data set of extreme precipitation disaster risk (2019) and vulnerability spatial distribution data set (2019) in Yangon deep water port area, combined with GDP and population distribution data of Yangon deep water port area, and through the definition of "risk = exposure × vulnerability × risk", the risk of extreme precipitation disaster in Yangon deepwater port area is calculated. The data set can provide a reference for the local disaster prevention and reduction work. By analyzing the distribution and causes of high risk, we can put forward engineering measures or non engineering measures to achieve the purpose of disaster reduction and prevention, and reduce the loss of people's lives and property caused by extreme precipitation disasters.


File naming and required software

The data is stored in ". TIF" format and can be opened by ArcGIS software. The name of the file is“ YangonRisk.tif "


Data Citations Data citation guideline What's data citation?
Cite as:

Li, Y. (2020). Spatial distribution data set of extreme precipitation disaster risk in Yangon deepwater port area (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.271057. CSTR: 18406.11.Disas.tpdc.271057. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Ma, Z.Q., Xu, J.T., Zhu, S.Y., Yang, J., Tang, G.Q., Yang, Y.J., Shi, Z., and Hong, Y. (2020). AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE, Earth Syst. Sci. Data, 12, 1525–1544, https://doi.org/10.5194/essd-12-1525-2020.( View Details | Bibtex)

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


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


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


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 96.40 West: 95.90
South: 16.50 North: 17.10
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 118 MB
  • Views: 1917
  • Downloads: 364
  • Access: Open Access
  • Temporal coverage: 2019-01-01 To 2019-12-31
  • Updated time: 2021-04-19
Contacts
: LI Yi  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata