Dataset for Country Level Water Withdrawals in Belt and Road Region (2015)

Dataset for Country Level Water Withdrawals in Belt and Road Region (2015)


Firstly, country-wise sectorial water withdrawal data are collected from FAO AQUASTAT database, Peter Gleick’s water use data, country statistics and literatures. In order to get consistent data, all data are unified to 2015 due to inconsistent times. For the data of year 2013-2017 close to 2015, the values of these years are directly used as water withdrawals of 2015. For the others, GDP, population, temperature, precipitation, irrigation area, carbon dioxide emission, nighttime light index, coal production, urban population corresponding to the water use data of different years in each country are collected, the panel data regression model of fixed effect and random effect between industrial water, agricultural water and domestic water and these factors are established, respectively. Sectorial water withdrawals in 2015 are estimated for every country.


File naming and required software

In excel format, can be opened in Microsoft EXCEL


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

(2019). Dataset for Country Level Water Withdrawals in Belt and Road Region (2015). A Big Earth Data Platform for Three Poles, (Download the reference: RIS | 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 180.00 West: 10.00
South: -15.00 North: 85.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 1º-10º
  • File size: 0.02 MB
  • Views: 4064
  • Downloads: 45
  • Access: Requestable
  • Temporal coverage: 2015-01-09 To 2016-01-08
  • Updated time: 2021-04-19
Contacts
: 贾绍凤  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata