A dataset of water supply resilience in countries along the "Belt and Road" (2000-2019)

A dataset of water supply resilience in countries along the "Belt and Road" (2000-2019)


The water resource supply resilience of countries along the “Belt and Road” reflects the level of water supply resilience of countries along the route. The higher the data value, the stronger the resilience of water supply in countries along the route. Preparation of data products for water supply resilience of countries along the “Belt and Road”, using the annual precipitation, surface runoff and underground net data produced by FLDAS (Famine Early Warning System Network Land Data Assimilation System) based on the Noah land surface model from 2000 to 2019 The flow simulation data set, on the basis of considering the year-to-year changes, based on sensitivity and adaptability analysis, and through comprehensive diagnosis, prepared and generated water resource supply resilience products. The data set of water supply resilience of countries along the “Belt and Road” has important reference significance for analyzing and comparing the current status of water resources supply resilience in various countries.


File naming and required software

File naming: The water supply resilience dataset is stored as ARCGIS raster data tif and vector data shape files, compressed and named 'water.zip'.
Data reading: The data is uncompressed into the ARCGIS raster data tif file format and the vector data shape file format, which should be opened using ARCGIS software. The 'average' field in the attribute table of the shapefile is the average value for each country.


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

Xu, X. (2022). A dataset of water supply resilience in countries along the "Belt and Road" (2000-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272271. CSTR: 18406.11.HumanNat.tpdc.272271. (Download the reference: RIS | Bibtex )

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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)


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Keywords
Geographic coverage
East: 180.00 West: 12.09
South: -11.00 North: 81.87
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 0.1º - 0.25º
  • File size: 18 MB
  • Views: 286
  • Downloads: 90
  • Access: Open Access
  • Temporal coverage: For the past 20 years
  • Updated time: 2022-04-29
Contacts
: XU Xinliang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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