Improved maps of surface water bodies, large dams, reservoirs, and lakes in China
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Published:2022-08-23
Issue:8
Volume:14
Page:3757-3771
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Wang Xinxin,Xiao Xiangming,Qin Yuanwei,Dong Jinwei,Wu Jihua,Li Bo
Abstract
Abstract. Data and knowledge of surface water bodies (SWB), including large lakes and
reservoirs (surface water areas > 1 km2), are critical for
the management and sustainability of water resources. However, the existing
global or national dam datasets have large georeferenced coordinate offsets
for many reservoirs, and some datasets have not reported reservoirs and
lakes separately. In this study, we generated China's surface water bodies,
Large Dams, Reservoirs, and Lakes (China-LDRL) dataset by analyzing all
available Landsat imagery in 2019 (19 338 images) in Google Earth Engine and
very-high spatial resolution imagery in Google Earth Pro. There were
∼ 3.52 × 106 yearlong SWB polygons in China for
2019, only 0.01 × 106 of them (0.43 %) were of large size
(> 1 km2). The areas of these large SWB polygons accounted
for 83.54 % of the total 214.92 × 103 km2 yearlong
surface water area (SWA) in China. We identified 2418 large dams, including
624 off-stream dams and 1794 on-stream dams, 2194 large reservoirs (16.35 × 103 km2), and 3051 large lakes (73.38 × 103 km2). In general, most of the dams and reservoirs in China
were distributed in South China, East China, and Northeast China, whereas
most of lakes were located in West China, the lower Yangtze River basin, and
Northeast China. The provision of the reliable, accurate China-LDRL dataset
on large reservoirs/dams and lakes will enhance our understanding of water
resources management and water security in China. The China-LDRL dataset is
publicly available at https://doi.org/10.6084/m9.figshare.16964656.v3 (Wang et al., 2021b).
Funder
National Science Foundation China Postdoctoral Science Foundation
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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