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
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3,766
1,241
158
5,165
185
197
221
HTML: 3,766
PDF: 1,241
XML: 158
Total: 5,165
Supplement: 185
BibTeX: 197
EndNote: 221
Views and downloads (calculated since 19 Apr 2023)
Cumulative views and downloads
(calculated since 19 Apr 2023)
Total article views: 3,593 (including HTML, PDF, and XML)
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Total
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EndNote
2,759
728
106
3,593
185
136
178
HTML: 2,759
PDF: 728
XML: 106
Total: 3,593
Supplement: 185
BibTeX: 136
EndNote: 178
Views and downloads (calculated since 22 May 2024)
Cumulative views and downloads
(calculated since 22 May 2024)
Total article views: 1,572 (including HTML, PDF, and XML)
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Total
BibTeX
EndNote
1,007
513
52
1,572
61
43
HTML: 1,007
PDF: 513
XML: 52
Total: 1,572
BibTeX: 61
EndNote: 43
Views and downloads (calculated since 19 Apr 2023)
Cumulative views and downloads
(calculated since 19 Apr 2023)
Viewed (geographical distribution)
Total article views: 5,165 (including HTML, PDF, and XML)
Thereof 5,064 with geography defined
and 101 with unknown origin.
Total article views: 3,593 (including HTML, PDF, and XML)
Thereof 3,527 with geography defined
and 66 with unknown origin.
Total article views: 1,572 (including HTML, PDF, and XML)
Thereof 1,537 with geography defined
and 35 with unknown origin.
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...