Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2449-2024
© Author(s) 2024. 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-16-2449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 May 2024
Data description paper |
| 22 May 2024
| 22 May 2024
High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
Chengcheng Hou
State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Shan Sang
State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Xu Zhao
Institute of Blue and Green Development, Shandong University, Weihai 264209, China
Yanxu Liu
State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Yinglu Liu
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
Fang Zhao
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Viewed
Total article views: 3,835 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,844 | 883 | 108 | 3,835 | 88 | 123 | 120 |
- HTML: 2,844
- PDF: 883
- XML: 108
- Total: 3,835
- Supplement: 88
- BibTeX: 123
- EndNote: 120
Total article views: 2,423 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 May 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,908 | 456 | 59 | 2,423 | 88 | 67 | 79 |
- HTML: 1,908
- PDF: 456
- XML: 59
- Total: 2,423
- Supplement: 88
- BibTeX: 67
- EndNote: 79
Total article views: 1,412 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Apr 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 936 | 427 | 49 | 1,412 | 56 | 41 |
- HTML: 936
- PDF: 427
- XML: 49
- Total: 1,412
- BibTeX: 56
- EndNote: 41
Viewed (geographical distribution)
Total article views: 3,835 (including HTML, PDF, and XML)
Thereof 3,711 with geography defined
and 124 with unknown origin.
Total article views: 2,423 (including HTML, PDF, and XML)
Thereof 2,333 with geography defined
and 90 with unknown origin.
Total article views: 1,412 (including HTML, PDF, and XML)
Thereof 1,378 with geography defined
and 34 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020 C. Hou et al. 10.5194/essd-16-2449-2024
- Estimation of the prevalence of non-perennial rivers and streams in anthropogenically altered river basins by random Forest modeling: A case study for the Yellow River basin L. Zhang et al. 10.1016/j.jhydrol.2025.132910
- Natural and anthropogenic imprints on seasonal river water quality trends across China H. Zhang et al. 10.1038/s41545-025-00481-3
- A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use Y. Zhang et al. 10.1038/s41597-025-05400-2
- Integrated strategies for water sustainability in the Yellow River Basin: Roles of water transfer, reclaimed water, and irrigation efficiency W. Zhang et al. 10.1016/j.agwat.2025.109694
- A new perspective on socioeconomic drought: a distributed and standardized index F. Meng et al. 10.1088/1748-9326/adba00
- Appropriate spatiotemporal scale selection for water use simulation in China J. Zhang et al. 10.1016/j.jhydrol.2025.133502
- A high-resolution multi-scale industrial water use dataset in China M. Li et al. 10.1038/s41597-024-04204-0
- Warming climate and water withdrawals threaten river flow connectivity in China J. Gou et al. 10.1073/pnas.2421046122
- High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020 C. Hou et al. 10.5194/essd-16-2449-2024
9 citations as recorded by crossref.
- High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020 C. Hou et al. 10.5194/essd-16-2449-2024
- Estimation of the prevalence of non-perennial rivers and streams in anthropogenically altered river basins by random Forest modeling: A case study for the Yellow River basin L. Zhang et al. 10.1016/j.jhydrol.2025.132910
- Natural and anthropogenic imprints on seasonal river water quality trends across China H. Zhang et al. 10.1038/s41545-025-00481-3
- A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use Y. Zhang et al. 10.1038/s41597-025-05400-2
- Integrated strategies for water sustainability in the Yellow River Basin: Roles of water transfer, reclaimed water, and irrigation efficiency W. Zhang et al. 10.1016/j.agwat.2025.109694
- A new perspective on socioeconomic drought: a distributed and standardized index F. Meng et al. 10.1088/1748-9326/adba00
- Appropriate spatiotemporal scale selection for water use simulation in China J. Zhang et al. 10.1016/j.jhydrol.2025.133502
- A high-resolution multi-scale industrial water use dataset in China M. Li et al. 10.1038/s41597-024-04204-0
- Warming climate and water withdrawals threaten river flow connectivity in China J. Gou et al. 10.1073/pnas.2421046122
1 citations as recorded by crossref.
Latest update: 28 Aug 2025
Short summary
To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the...
Altmetrics
Final-revised paper
Preprint