TY - JOUR
T1 - A comprehensive geospatial database of nearly 100 000 reservoirs in China
AU - Song, Chunqiao
AU - Fan, Chenyu
AU - Zhu, Jingying
AU - Wang, Jida
AU - Sheng, Yongwei
AU - Liu, Kai
AU - Chen, Tan
AU - Zhan, Pengfei
AU - Luo, Shuangxiao
AU - Yuan, Chunyu
AU - Ke, Linghong
N1 - Funding Information:
The authors express their gratitude to the support from the GRanD, GOODD, GeoDAR, FHReD, and the national public basic geographic datasets. The authors would like to acknowledge Tiandi Map, for providing a base map and the geocoding API ( https://map.tianditu.gov.cn/ , last access: 16 January 2022). The authors are also grateful to the GSW, GLAD, and FROM-GLC10 data, for providing reservoir water inundation extent, and the Almanac of China's Water Power and other Chinese government documents, for providing the reservoir storage capacity records. This work was partly funded by the National Key Research and Development Program of China (grant nos. 2018YFD0900804, 2019YFA0607101, and 2018YFD1100101), the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA23100102), and the National Natural Science Foundation of China (grant no. 41971403).
Funding Information:
This research has been supported by the National Key Research and Development Program of China (grant nos. 2018YFD0900804, 2019YFA0607101, and 2018YFD1100101).
Publisher Copyright:
© 2022 Chunqiao Song et al.
PY - 2022/9/6
Y1 - 2022/9/6
N2 - 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 km2 and a total storage capacity of about 979.62 km3 (924.96-1060.59 km3). 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 km2. 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 10.5281/zenodo.6984619 (Song et al., 2022).
AB - 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 km2 and a total storage capacity of about 979.62 km3 (924.96-1060.59 km3). 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 km2. 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 10.5281/zenodo.6984619 (Song et al., 2022).
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U2 - 10.5194/essd-14-4017-2022
DO - 10.5194/essd-14-4017-2022
M3 - Article
AN - SCOPUS:85140376575
SN - 1866-3508
VL - 14
SP - 4017
EP - 4034
JO - Earth System Science Data
JF - Earth System Science Data
IS - 9
ER -