Water use efficiency impact data of industrial transformation scheme in Heihe River Basin

Water use efficiency impact data of industrial transformation scheme in Heihe River Basin


Industrial transformation refers to the state or process of significant changes in industrial structure, industrial scale, industrial organization, industrial technology and equipment in the main composition of a country or region's national economy. From this point of view, industrial transformation is a comprehensive process, including industrial transformation in structure, organization and technology. Another explanation refers to the reallocation of resource stock among industries in an industry, that is, the process of transferring capital, labor and other production factors from declining industries to emerging industries

Data include industrial output impact data of water resources industrial structure adjustment (primary industry technology, secondary industry technology, tertiary industry technology)


File naming and required software

The data is stored in Excel format and can be opened and read by office software


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

Deng, X. (2016). Water use efficiency impact data of industrial transformation scheme in Heihe River Basin. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Socioeco.tpdc.270849. CSTR: 18406.11.Socioeco.tpdc.270849. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Deng, X.Z., and Zhao, C.H. (2015). Identification of Water Scarcity and Providing Solutions for Adapting to Climate Changes in the Heihe River Basin of China. Adv. Meteorol. 2015, 1–13.( View Details | Bibtex)

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


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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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: 102.50 West: 96.50
South: 37.50 North: 43.00
Details
  • File size: 0.01 MB
  • Views: 8248
  • Downloads: 8
  • Access: Requestable
  • Temporal coverage: 2012-01-16 To 2013-01-14
  • Updated time: 2021-04-19
Contacts
: DENG XiangZheng  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata