Water footprint in the Heihe River Basin- A Big Earth Data Platform for Three Poles

This data set includes the blue and green water monthly evapotranspiration of the main crops in the Heihe River Basin from 2004 to 2006, and the blue and green water footprints of the main departments in the Heihe River Basin.

Data file description:

This data set mainly includes the water footprint related data of Heihe River Basin, including the following three documents:

(1) The data table of crop evapotranspiration ﹣ CROPWAT model is the monthly blue and green water evapotranspiration and water footprint data of main crops in Heihe River Basin simulated by CROPWAT model.

(2) Heihe River footprint data table is the water footprint data of agricultural products (including crops and livestock products), industrial sector and living sector in Heihe River Basin.

(3) Water footprint data description file is used to specifically explain the contents and terms in the data table.

For detailed data description, please refer to the word document "water footprint data description".

File naming and required software

. xlsx format storage

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, J. (2013). Water footprint in the Heihe River Basin. A Big Earth Data Platform for Three Poles, DOI: 10.3972/heihe.072.2013.db. CSTR: 18406.11.heihe.072.2013.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zeng, Z., Liu, J., Koeneman, P., Zarate, E. and Hoekstra, A. (2012). Assessing water footprint at river basin level: a case study for the Heihe River Basin in northwest China. Hydrol. Earth Syst. Sci 16, 2771-2781. doi:10.5194/hess-16-2771-2012( 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

Spatial and temporal patterns of green and blue water flows in the Heihe River Basin (No:91025009)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)