International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Sci Data. 2023 Sep 9;10(1):609. doi: 10.1038/s41597-023-02515-2.
Reservoir inventories are essential for investigating the impact of climate change and anthropogenic activities on water scape changes. They provide fundamental data sources to explore the sustainability and management efficiency of water resources. However, publicly released reservoir inventories are currently limited to a single temporal domain. As a result, the effectiveness of governmental policy implementation on water resources remains to be explored due to the lack of multi-time datasets. In this study, we generated a reservoir inventory for China for the years 2016 and 2021 with an overall accuracy of 99.71%. The reservoirs were visually interpreted from annually composited Landsat images, and each reservoir is represented by a polygon with attributes of reservoir name, area and storage capacity. About 10.32% of the reservoirs have increased storage capacity from 2016 to 2021, while 22.73% have decreased. Most provinces and river basins in China have expanded their accumulated storage capacity from 2016 to 2021.
水库清单对于研究气候变化和人为活动对水情变化的影响至关重要。它们为探索水资源的可持续性和管理效率提供了基本的数据来源。然而，目前公开发布的水库清单仅局限于单一的时间域。因此，由于缺乏多时间数据集，政府在水资源方面的政策实施效果仍有待探索。在本研究中，我们针对 2016 年和 2021 年生成了一个中国水库清单，整体精度达到了 99.71%。水库是通过每年合成的 Landsat 图像进行目视解译的，每个水库都用一个带有水库名称、面积和储水量等属性的多边形来表示。大约 10.32%的水库在 2016 年至 2021 年间增加了储水量，而 22.73%的水库则减少了。中国大部分省份和流域的累计储水量从 2016 年到 2021 年都有所增加。
