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)


The evaluation area of the data set is the central urban area of Yangon deepwater port. The data set is based on the extreme precipitation disaster risk spatial distribution data set (2019) and its evaluation index system. The data set considers both precipitation risk and terrain risk. Among them, precipitation risk index includes extreme precipitation intensity index and extreme precipitation frequency index, both of which are obtained from GPM precipitation data. Terrain risk mainly considers elevation index. Finally, the risk assessment results of extreme precipitation disaster are obtained. The probability and intensity of extreme precipitation disaster in high risk area are higher than those in low risk area.


File naming and required software

The data is stored in. TIF format and can be opened by ArcGIS software. The file is named as“ YangonHazard.tif "


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

Ge, Y., Li, Q., 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.271056. CSTR: 18406.11.Disas.tpdc.271056. (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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 96.00 West: 95.90
South: 16.50 North: 17.10
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 118 MB
  • Views: 1831
  • Downloads: 357
  • Access: Open Access
  • Temporal coverage: 2019-01-01 To 2019-12-31
  • Updated time: 2021-04-19
Contacts
: GE Yong   LI Qiangzi   LI Yi  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata