A comprehensive geospatial database of nearly 100 000 reservoirs in China
<p>With rapid population growth and socioeconomic development over the last century, a great number of dams/reservoirs have been constructed globally to meet various needs. China has strong economical and societal demands for constructing dams and reservoirs. The official statistics reported m...
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Copernicus Publications
2022-09-01
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Series: | Earth System Science Data |
Online Access: | https://essd.copernicus.org/articles/14/4017/2022/essd-14-4017-2022.pdf |
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author | C. Song C. Fan C. Fan J. Zhu J. Zhu J. Wang Y. Sheng K. Liu T. Chen P. Zhan P. Zhan S. Luo S. Luo C. Yuan C. Yuan L. Ke |
author_facet | C. Song C. Fan C. Fan J. Zhu J. Zhu J. Wang Y. Sheng K. Liu T. Chen P. Zhan P. Zhan S. Luo S. Luo C. Yuan C. Yuan L. Ke |
author_sort | C. Song |
collection | DOAJ |
description | <p>With rapid population growth and socioeconomic development over the last century, a great number of dams/reservoirs have been constructed globally to meet various needs. China has strong economical and societal demands for constructing dams and reservoirs. The official statistics reported more than 98 000 dams/reservoirs in China, including nearly 40 % of the world's largest dams. Despite the availability of several global-scale dam/reservoir databases (e.g., the Global Reservoir and Dam database (GRanD), the GlObal geOreferenced Database of Dams (GOODD), and the Georeferenced global Dams And Reservoirs (GeoDAR)), these databases have insufficient coverage of the reservoirs in China, especially for small or newly constructed ones. The lack of reservoir information impedes the estimation of water budgets and the evaluation of dam impacts on hydrologic and nutrient fluxes for China and its downstream countries. Therefore, we presented the China Reservoir Dataset (CRD), which contains 97 435 reservoir polygons and fundamental attribute information (e.g., name and storage capacity) based on existing dam/reservoir products, national basic geographic datasets, multi-source open map data, and multi-level governmental yearbooks and databases. The reservoirs compiled in the CRD have a total maximum water inundation area of 50 085.21 km<span class="inline-formula"><sup>2</sup></span> and a total storage capacity of about 979.62 km<span class="inline-formula"><sup>3</sup></span> (924.96–1060.59 km<span class="inline-formula"><sup>3</sup></span>). The quantity of reservoirs decreases from the southeast to the northwest, and the density hotspots mainly occur in hilly regions and large plains, with the Yangtze River basin dominating in reservoir count, area, and storage capacity. We found that these spatial accumulations of reservoirs are closely related to China's socioeconomic development and the implementation of major policies. Finally, we presented the comparison of the CRD with GOODD, GeoDAR, and GRanD databases. The CRD has significantly increased the reservoir count, area, and storage capacity in China, especially for reservoirs smaller than 1 km<span class="inline-formula"><sup>2</sup></span>. The CRD database provides more comprehensive reservoir spatial and attribute information and is expected to benefit water resources managements and the understanding of ecological and environmental impacts of dams across China and its affected transboundary basins. The CRD database is publicly available at <a href="https://doi.org/10.5281/zenodo.6984619">https://doi.org/10.5281/zenodo.6984619</a> (Song et al., 2022).</p> |
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spelling | doaj.art-ed27e15f800844409c182693ab6d4eaa2022-12-22T03:20:59ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-09-01144017403410.5194/essd-14-4017-2022A comprehensive geospatial database of nearly 100 000 reservoirs in ChinaC. Song0C. Fan1C. Fan2J. Zhu3J. Zhu4J. Wang5Y. Sheng6K. Liu7T. Chen8P. Zhan9P. Zhan10S. Luo11S. Luo12C. Yuan13C. Yuan14L. Ke15Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaDepartment of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS 66506, USADepartment of Geography, University of California, Los Angeles, CA 90095, USAKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, ChinaCollege of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, China<p>With rapid population growth and socioeconomic development over the last century, a great number of dams/reservoirs have been constructed globally to meet various needs. China has strong economical and societal demands for constructing dams and reservoirs. The official statistics reported more than 98 000 dams/reservoirs in China, including nearly 40 % of the world's largest dams. Despite the availability of several global-scale dam/reservoir databases (e.g., the Global Reservoir and Dam database (GRanD), the GlObal geOreferenced Database of Dams (GOODD), and the Georeferenced global Dams And Reservoirs (GeoDAR)), these databases have insufficient coverage of the reservoirs in China, especially for small or newly constructed ones. The lack of reservoir information impedes the estimation of water budgets and the evaluation of dam impacts on hydrologic and nutrient fluxes for China and its downstream countries. Therefore, we presented the China Reservoir Dataset (CRD), which contains 97 435 reservoir polygons and fundamental attribute information (e.g., name and storage capacity) based on existing dam/reservoir products, national basic geographic datasets, multi-source open map data, and multi-level governmental yearbooks and databases. The reservoirs compiled in the CRD have a total maximum water inundation area of 50 085.21 km<span class="inline-formula"><sup>2</sup></span> and a total storage capacity of about 979.62 km<span class="inline-formula"><sup>3</sup></span> (924.96–1060.59 km<span class="inline-formula"><sup>3</sup></span>). The quantity of reservoirs decreases from the southeast to the northwest, and the density hotspots mainly occur in hilly regions and large plains, with the Yangtze River basin dominating in reservoir count, area, and storage capacity. We found that these spatial accumulations of reservoirs are closely related to China's socioeconomic development and the implementation of major policies. Finally, we presented the comparison of the CRD with GOODD, GeoDAR, and GRanD databases. The CRD has significantly increased the reservoir count, area, and storage capacity in China, especially for reservoirs smaller than 1 km<span class="inline-formula"><sup>2</sup></span>. The CRD database provides more comprehensive reservoir spatial and attribute information and is expected to benefit water resources managements and the understanding of ecological and environmental impacts of dams across China and its affected transboundary basins. The CRD database is publicly available at <a href="https://doi.org/10.5281/zenodo.6984619">https://doi.org/10.5281/zenodo.6984619</a> (Song et al., 2022).</p>https://essd.copernicus.org/articles/14/4017/2022/essd-14-4017-2022.pdf |
spellingShingle | C. Song C. Fan C. Fan J. Zhu J. Zhu J. Wang Y. Sheng K. Liu T. Chen P. Zhan P. Zhan S. Luo S. Luo C. Yuan C. Yuan L. Ke A comprehensive geospatial database of nearly 100 000 reservoirs in China Earth System Science Data |
title | A comprehensive geospatial database of nearly 100 000 reservoirs in China |
title_full | A comprehensive geospatial database of nearly 100 000 reservoirs in China |
title_fullStr | A comprehensive geospatial database of nearly 100 000 reservoirs in China |
title_full_unstemmed | A comprehensive geospatial database of nearly 100 000 reservoirs in China |
title_short | A comprehensive geospatial database of nearly 100 000 reservoirs in China |
title_sort | comprehensive geospatial database of nearly 100 thinsp 000 reservoirs in china |
url | https://essd.copernicus.org/articles/14/4017/2022/essd-14-4017-2022.pdf |
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