Database of Central Asia Great Lakes region groundwater depth (2021)- A Big Earth Data Platform for Three Poles

Data content: groundwater depth data of Nukus irrigation area from January 2021 to December 2021, that is, the distance from the groundwater table to the surface, in M.

Data source and processing method: this data is collected from the automatic groundwater monitoring station in Nukus irrigation area.

Data quality description: this data is site data with a time resolution of 3 hours.

Data application achievements and prospects: it can be used to statistically analyze the variation characteristics of groundwater depth with time and space in the irrigation area, and analyze the impact of climate change and human activities on groundwater level in combination with other hydrometeorological parameters. It can also be used to analyze the interaction process between surface water and groundwater.

File naming and required software

File name: groundwater depth data is stored in xlsx format, including station name, date, probe depth and groundwater depth (m).
Data reading method: the data can be read directly by Excel.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, T. (2022). Database of Central Asia Great Lakes region groundwater depth (2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272612. CSTR: 18406.11.Terre.tpdc.272612. (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)

Water and ecosystem collaborative management and decision support (No:XDA20060303)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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