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Reservoir inventory for China in 2016 and 2021
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 a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492819/ https://www.ncbi.nlm.nih.gov/pubmed/37689730 http://dx.doi.org/10.1038/s41597-023-02515-2 |
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author | Zhang, Haiying Chen, Fang Wang, Lei Wang, Ning Yu, Bo |
author_facet | Zhang, Haiying Chen, Fang Wang, Lei Wang, Ning Yu, Bo |
author_sort | Zhang, Haiying |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10492819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104928192023-09-11 Reservoir inventory for China in 2016 and 2021 Zhang, Haiying Chen, Fang Wang, Lei Wang, Ning Yu, Bo Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-09-09 /pmc/articles/PMC10492819/ /pubmed/37689730 http://dx.doi.org/10.1038/s41597-023-02515-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zhang, Haiying Chen, Fang Wang, Lei Wang, Ning Yu, Bo Reservoir inventory for China in 2016 and 2021 |
title | Reservoir inventory for China in 2016 and 2021 |
title_full | Reservoir inventory for China in 2016 and 2021 |
title_fullStr | Reservoir inventory for China in 2016 and 2021 |
title_full_unstemmed | Reservoir inventory for China in 2016 and 2021 |
title_short | Reservoir inventory for China in 2016 and 2021 |
title_sort | reservoir inventory for china in 2016 and 2021 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492819/ https://www.ncbi.nlm.nih.gov/pubmed/37689730 http://dx.doi.org/10.1038/s41597-023-02515-2 |
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