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 article
| 
22 May 2024
Data description article |
| 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
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Total article views: 3,917 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020 C. Hou et al.
- Bridging GRACE/GRACE-FO data gaps with ESTConvS2S for enhanced water storage monitoring S. Gu et al.
- Assessment of terrestrial water storage variations and spatial heterogeneity across the Pearl River Basin: the influences of climatic change and human activities W. Pan et al.
- Development of Long-Term Gridded Data of Water Use in Japan Since the Late 20th Century K. IDE et al.
- Natural and anthropogenic imprints on seasonal river water quality trends across China H. Zhang et al.
- Irrigated agriculture expansion drives groundwater storage decline in Black Soil Region of Northeast China Y. Yu et al.
- Diagnosing the causal relationships between groundwater resource characteristics and socio-economic factors in the Heihe river basin, China Z. Lu et al.
- Integrated strategies for water sustainability in the Yellow River Basin: Roles of water transfer, reclaimed water, and irrigation efficiency W. Zhang et al.
- A high-resolution multi-scale industrial water use dataset in China M. Li et al.
- Warming climate and water withdrawals threaten river flow connectivity in China J. Gou et al.
- Identification of spatially heterogeneous drivers of lake eutrophication in China with explainable automated machine learning W. Qin et al.
- A multiple spatial scales water use simulation for capturing its spatial heterogeneity through cellular automata model J. Zhang et al.
- 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.
- Integrated analysis of climate and human drivers of streamflow and sediment load in a dryland river S. Yin et al.
- A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use Y. Zhang et al.
- A new perspective on socioeconomic drought: a distributed and standardized index F. Meng et al.
- Appropriate spatiotemporal scale selection for water use simulation in China J. Zhang et al.
- Nonstationary groundwater level responses to coupled human–natural drivers in the Baiyangdian Watershed L. Zhou et al.
- Assessing water resources service value through simulation of a water supply–hydropower generation–ecosystem photosynthesis nexus system F. Yue et al.
19 citations as recorded by crossref.
- High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020 C. Hou et al.
- Bridging GRACE/GRACE-FO data gaps with ESTConvS2S for enhanced water storage monitoring S. Gu et al.
- Assessment of terrestrial water storage variations and spatial heterogeneity across the Pearl River Basin: the influences of climatic change and human activities W. Pan et al.
- Development of Long-Term Gridded Data of Water Use in Japan Since the Late 20th Century K. IDE et al.
- Natural and anthropogenic imprints on seasonal river water quality trends across China H. Zhang et al.
- Irrigated agriculture expansion drives groundwater storage decline in Black Soil Region of Northeast China Y. Yu et al.
- Diagnosing the causal relationships between groundwater resource characteristics and socio-economic factors in the Heihe river basin, China Z. Lu et al.
- Integrated strategies for water sustainability in the Yellow River Basin: Roles of water transfer, reclaimed water, and irrigation efficiency W. Zhang et al.
- A high-resolution multi-scale industrial water use dataset in China M. Li et al.
- Warming climate and water withdrawals threaten river flow connectivity in China J. Gou et al.
- Identification of spatially heterogeneous drivers of lake eutrophication in China with explainable automated machine learning W. Qin et al.
- A multiple spatial scales water use simulation for capturing its spatial heterogeneity through cellular automata model J. Zhang et al.
- 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.
- Integrated analysis of climate and human drivers of streamflow and sediment load in a dryland river S. Yin et al.
- A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use Y. Zhang et al.
- A new perspective on socioeconomic drought: a distributed and standardized index F. Meng et al.
- Appropriate spatiotemporal scale selection for water use simulation in China J. Zhang et al.
- Nonstationary groundwater level responses to coupled human–natural drivers in the Baiyangdian Watershed L. Zhou et al.
- Assessing water resources service value through simulation of a water supply–hydropower generation–ecosystem photosynthesis nexus system F. Yue et al.
Saved (final revised paper)
Latest update: 24 May 2026
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...
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