Preprints
https://doi.org/10.5194/essd-2019-224
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
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.
the Creative Commons Attribution 4.0 License.
02 Jan 2020
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 Yan
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Baisha Weng
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Tianling Qin
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Hao Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Xiangnan Li
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Yuheng Yang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Kun Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Zhenyu Lv
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Jianwei Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Meng Li
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Shan He
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Fang Liu
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Shanshan Liu
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Wuxia Bi
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Ting Xu
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Xiaoqing Shi
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Zihao Man
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Congwu Sun
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Meiyu Liu
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Mengke Wang
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Yinghou Huang
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Haoyu Long
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Yongzhen Niu
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Batsuren Dorjsuren
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Mohammed Gedefaw
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Abel Girma
Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Asaminew Abiyu
Water 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.
How to cite. Yan, D., Weng, B., Qin, T., Wang, H., Li, X., Yang, Y., Wang, K., Lv, Z., Wang, J., Li, M., He, S., Liu, F., Liu, S., Bi, W., Xu, T., Shi, X., Man, Z., Sun, C., Liu, M., Wang, M., Huang, Y., Long, H., Niu, Y., Dorjsuren, B., Gedefaw, M., Girma, A., and Abiyu, A.: A dataset of distributed global water withdrawal from 1960 to 2017, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2019-224, 2020.
Download & links
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(1135 KB)
Denghua Yan et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'A dataset of distributed global water withdrawal from 1960 to 2017', Anonymous Referee #1, 04 Feb 2020
-
AC1: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
AC1: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
RC2: 'review_essd-2019-224', Anonymous Referee #2, 09 Feb 2020
-
AC2: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
AC2: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
RC3: 'Review ESSD-2019-224', Anonymous Referee #3, 27 Feb 2020
-
AC3: 'Response to Comments', Xiangnan Li, 01 Apr 2020
-
AC3: 'Response to Comments', Xiangnan Li, 01 Apr 2020
-
EC1: 'Editor comment', Ge Peng, 27 Apr 2020
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'A dataset of distributed global water withdrawal from 1960 to 2017', Anonymous Referee #1, 04 Feb 2020
-
AC1: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
AC1: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
RC2: 'review_essd-2019-224', Anonymous Referee #2, 09 Feb 2020
-
AC2: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
AC2: 'Response to Comments', Xiangnan Li, 27 Feb 2020
-
RC3: 'Review ESSD-2019-224', Anonymous Referee #3, 27 Feb 2020
-
AC3: 'Response to Comments', Xiangnan Li, 01 Apr 2020
-
AC3: 'Response to Comments', Xiangnan Li, 01 Apr 2020
-
EC1: 'Editor comment', Ge Peng, 27 Apr 2020
Denghua Yan et al.
Denghua Yan et al.
Viewed
Total article views: 1,534 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jan 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,190 | 292 | 52 | 1,534 | 66 | 77 |
- HTML: 1,190
- PDF: 292
- XML: 52
- Total: 1,534
- BibTeX: 66
- EndNote: 77
Viewed (geographical distribution)
Total article views: 1,442 (including HTML, PDF, and XML)
Thereof 1,423 with geography defined
and 19 with unknown origin.
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Latest update: 08 Jun 2023
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...