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 "


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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)

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


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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: 1596
  • Downloads: 311
  • 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

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