TY - JOUR
T1 - High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020
AU - Hou, Chengcheng
AU - Li, Yan
AU - Sang, Shan
AU - Zhao, Xu
AU - Liu, Yanxu
AU - Liu, Yinglu
AU - Zhao, Fang
N1 - Publisher Copyright:
© 2024 Copernicus Publications. All rights reserved.
PY - 2024/5/22
Y1 - 2024/5/22
N2 - High-quality gridded data on industrial water use are vital for research and water resource management. However, such data in China usually have low accuracy. In this study, we developed a gridded dataset of monthly industrial water withdrawal (IWW) for China, which is called the China Industrial Water Withdrawal (CIWW) dataset; this dataset spans a 56-year period from 1965 to 2020 at spatial resolutions of 0.1 and 0.25°. We utilized >g400g000 records of industrial enterprises, monthly industrial product output data, and continuous statistical IWW records from 1965 to 2020 to facilitate spatial scaling, seasonal allocation, and long-term temporal coverage in developing the dataset. Our CIWW dataset is a significant improvement in comparison to previous data for the characterization of the spatial and seasonal patterns of the IWW dynamics in China and achieves better consistency with statistical records at the local scale. The CIWW dataset, together with its methodology and auxiliary data, will be useful for water resource management and hydrological models. This new dataset is now available at 10.6084/m9.figshare.21901074 (Hou and Li, 2023).
AB - High-quality gridded data on industrial water use are vital for research and water resource management. However, such data in China usually have low accuracy. In this study, we developed a gridded dataset of monthly industrial water withdrawal (IWW) for China, which is called the China Industrial Water Withdrawal (CIWW) dataset; this dataset spans a 56-year period from 1965 to 2020 at spatial resolutions of 0.1 and 0.25°. We utilized >g400g000 records of industrial enterprises, monthly industrial product output data, and continuous statistical IWW records from 1965 to 2020 to facilitate spatial scaling, seasonal allocation, and long-term temporal coverage in developing the dataset. Our CIWW dataset is a significant improvement in comparison to previous data for the characterization of the spatial and seasonal patterns of the IWW dynamics in China and achieves better consistency with statistical records at the local scale. The CIWW dataset, together with its methodology and auxiliary data, will be useful for water resource management and hydrological models. This new dataset is now available at 10.6084/m9.figshare.21901074 (Hou and Li, 2023).
UR - https://www.scopus.com/pages/publications/85194061191
U2 - 10.5194/essd-16-2449-2024
DO - 10.5194/essd-16-2449-2024
M3 - 文章
AN - SCOPUS:85194061191
SN - 1866-3508
VL - 16
SP - 2449
EP - 2464
JO - Earth System Science Data
JF - Earth System Science Data
IS - 5
ER -