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Preprints
https://doi.org/10.5194/essd-2019-224
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-224
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Jan 2020

02 Jan 2020

Review status
This preprint was under review for the journal ESSD. A final paper is not foreseen.

A dataset of distributed global water withdrawal from 1960 to 2017

Denghua Yan1,2, Baisha Weng1,2, Tianling Qin1,2, Hao Wang1,2, Xiangnan Li1,2, Yuheng Yang1,2, Kun Wang1,2, Zhenyu Lv1,2, Jianwei Wang1,2, Meng Li1,2, Shan He2, Fang Liu2, Shanshan Liu2, Wuxia Bi2, Ting Xu2, Xiaoqing Shi2, Zihao Man2, Congwu Sun2, Meiyu Liu2, Mengke Wang2, Yinghou Huang2, Haoyu Long2, Yongzhen Niu2, Batsuren Dorjsuren2, Mohammed Gedefaw2, Abel Girma2, and Asaminew Abiyu2 Denghua Yan et al.
  • 1State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
  • 2Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

Abstract. More and more high-resolution data sets are simulated worldwide and used in various research. However, in addition to the improvement in accuracy, the practical significance of the spatial distribution of data must also be considered. Considering that the most accurate water withdrawal data are mainly provided by the state, water is mainly concentrated on artificial surface and cultivated land. Whenever possible, using data published by regional or national governments and interpolating and extending them to specific land uses will maximize data accuracy. Based on this, we provide a set of water withdrawal intensity products from 1960 to 2017 distributed to the administrative units or the corresponding regions. The data set fills the gaps in the multi-year data set of the accurate intensity of water withdrawal. The datasets described in this article are publicly and freely available through the FigShare. The DOI for the data is https://doi.org/10.6084/m9.figshare.10012559.v1 (Yanetal.,2019).

This preprint has been withdrawn.

Denghua Yan et al.

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Denghua Yan et al.

Denghua Yan et al.

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Short summary
This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of the world.
This paper provides a complete data set of global water withdrawal. There is almost no...
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