19 Apr 2023
 | 19 Apr 2023
Status: this preprint is currently under review for the journal ESSD.

High-resolution mapping of monthly industrial water withdrawal in China from 1965 to 2020

Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao

Abstract. High-quality gridded data on industrial water use is 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, namely, the China industrial water withdrawal dataset (CIWW), which spans a 56-year period from 1965 to 2020 at a spatial resolution of 0.1° and 0.25°. We utilized >400,000 records of industrial enterprises, monthly industrial product output data, continuous statistical IWW records from 1965 to 2020, to facilitate spatial scaling, seasonal allocation, and long-term temporal coverage in the developing the dataset. The CIWW dataset presented significant improvement in characterizing the spatial and seasonal patterns of IWW dynamics in China, with a much higher accuracy at fine scale while ensuring consistency with statistical records. The CIWW dataset, together with its methodology, and auxiliary data, is useful for water resource management and for research in hydrology, geography, environment, and sustainability sciences. This new dataset is now available at (Hou and Li, 2023).

Chengcheng Hou et al.

Status: open (until 21 Jun 2023)

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  • RC1: 'Comment on essd-2023-66', Anonymous Referee #1, 18 May 2023 reply

Chengcheng Hou et al.

Data sets

The China industrial water withdrawal dataset Chengcheng Hou and Yan Li

Chengcheng Hou et al.


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Short summary
The China Industrial Water Withdrawal Dataset help understand the human water use dynamics and support studies in hydrology, geography, environment, sustainability sciences, and regional water resources management and allocation in China. The transparent methodology and public availability of the source data allowed further adjustments and calibration to support the various applications by users. They also served as a reference for other countries to develop localized datasets of their own.