Monthly irrigation dataset (for both surface water and groundwater) with 30 sec spatial resolution over the Heihe River Basin (1981-2013)

Monthly irrigation dataset (for both surface water and groundwater) with 30 sec spatial resolution over the Heihe River Basin (1981-2013)

Agricultural irrigation, which accounts for about 80% of human water consumption, is the most important part of human water resources management and closely related to human survival and development.Irrigation is also an important part of the water cycle. Large-scale irrigation can affect the water cycle and even the local climate by affecting evapotranspiration.Excessive diversion of irrigation water will lead to unsustainable utilization of water resources, and at the same time, will reduce river flow and aquifer water reserves, thus harming the ecological environment.

Therefore, determining the spatial and temporal distribution and variation of irrigation is critical to studying past human water use, the impact of irrigation on ecological and hydrological processes, the environment and climate, and the development of future irrigation plans.

By integrating the irrigation amount of channel diversion water and irrigation amount of groundwater intake from different data sources, and combining the evapotranspiration data of land surface model CLM4.5 simulation and remote sensing inversion, a set of spatio-temporal continuous surface water and groundwater irrigation amount data set with spatial resolution of 30 arcseconds (0.0083 degrees) on the scale of 1981-2013 in heihe river basin was made.

It has been verified that this data set has a high reliability from 2000 to 2013, and a lower reliability from 1981 to 1999 than from 2000 to 2013 due to the absence of remote sensing data and the absence of soil utilization changes.

The document is described as follows:

Monthly surfacewater irrigation volume file name: monthly_surfacewater_irrigation

Monthly groundwater_irrigation

The data is in netcdf format.There are three dimensions, which are month, lat, and lon.

Where, month is a month, and the value is 0-395, representing each month from 1981 to 2013. Lat is grid latitude information, and lon is grid longitude information.

File naming and required software

The document is described as follows:Monthly surfacewater irrigation volume file name: monthly_surfacewater_irrigation、Monthly groundwater_irrigation
Data reading method: the data is in netcdf raster format and has three dimensions, which are month, lat and lon in turn. It can be opened by arcgis or programming

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

Xie, Z. (2016). Monthly irrigation dataset (for both surface water and groundwater) with 30 sec spatial resolution over the Heihe River Basin (1981-2013). National Tibetan Plateau Data Center, DOI: 10.11888/Hydro.tpdc.270573. CSTR: 18406.11.Hydro.tpdc.270573. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zeng, Y. , Xie, Z. , & Liu, S. . (2016). Effects of Anthropogenic Water Regulation and Groundwater Lateral Flow on Land Processes. Agu Fall Meeting. AGU Fall Meeting Abstracts.. doi:10.1002/2016MS000646( View Details | Bibtex)

2. Zeng, Y. , Xie, Z. , Yu, Y. , Liu, S. , Wang, L. , & Jia, B. , et al. (2016). Ecohydrological effects of stream–aquifer water interaction: a case study of the heihe river basin, northwestern china. Hydrology and Earth System Sciences, 20(6), 2333-2352.doi:10.5194/hess-20-2333-2016( 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

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To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (

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

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Geographic coverage
East: 102.50 West: 96.50
South: 37.50 North: 43.00
  • Temporal resolution: Monthly
  • Spatial resolution: <= 0.01º
  • File size: 1,434 MB
  • Views: 7,151
  • Downloads: 103
  • Access: Open Access
  • Temporal coverage: 1981-01-13 To 2014-01-12
  • Updated time: 2021-04-19
: XIE Zhenghui  

Distributor: National Tibetan Plateau Data Center


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