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

IF 11.2 1区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Earth System Science Data Pub Date : 2024-05-22 DOI:10.5194/essd-16-2449-2024

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

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引用次数: 0

Abstract

Abstract. 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 > 400 000 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 https://doi.org/10.6084/m9.figshare.21901074 (Hou and Li, 2023).

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1965-2020 年中国月度工业取水量高分辨率分布图

摘要。高质量的工业用水网格数据对研究和水资源管理至关重要。然而，中国的此类数据通常精度较低。在本研究中，我们开发了中国月度工业取水量网格数据集，即中国工业取水量（CIWW）数据集；该数据集的空间分辨率为 0.1 和 0.25°，时间跨度为 1965 年至 2020 年，为期 56 年。在开发该数据集时，我们利用了 > 400 000 条工业企业记录、月度工业产品产量数据以及 1965 年至 2020 年期间连续的工业用水统计记录，以便于进行空间缩放、季节分配和长期时间覆盖。与以往的数据相比，我们的 CIWW 数据集在描述中国 IWW 动态的空间和季节模式方面有了显著改进，并在地方尺度上与统计记录实现了更好的一致性。CIWW 数据集及其方法和辅助数据将有助于水资源管理和水文模型。这一新数据集可在 https://doi.org/10.6084/m9.figshare.21901074 网站上查阅（侯和李，2023 年）。

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来源期刊

Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

18.00

自引率

5.30%

发文量

231

审稿时长

35 weeks

期刊介绍： Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.