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Article

Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China

1
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
2
Research and Development Center for Watershed Environmental Eco-Engineering, Advanced Institute of Natural Science, Beijing Normal University at Zhuhai, Zhuhai 519087, China
3
Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education, Dongying 257500, China
4
School of Environment, Tsinghua University, Beijing 100084, China
5
Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
6
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
7
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(6), 1154; https://doi.org/10.3390/rs13061154
Submission received: 15 February 2021 / Revised: 14 March 2021 / Accepted: 16 March 2021 / Published: 18 March 2021
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)

Abstract

Various surface water bodies, such as rivers, lakes and reservoirs, provide water and essential services to human society. However, the long-term spatiotemporal dynamics of different types of surface water bodies and their possible driving factors over large areas remain very limited. Here, we used unprecedented surface water data layers derived from all available Landsat images and further developed two databases on China’s lakes and reservoirs larger than 1 km2 to document and understand the characteristics of changes in different water body types during 2000 to 2019 in China. Our results show that China is dominated by permanent water bodies. The areas of permanent and seasonal water bodies in China increased by 16,631.02 km2 (16.72%) and 16,994.95 km2 (25.14%), respectively, between 2000 and 2019, with permanent and seasonal water bodies exhibiting divergent spatial variations. Lakes and artificial reservoirs larger than 1 km2, which collectively represent a significant proportion of the permanent water bodies in China, displayed net increases of 6884.52 km2 (10.71%) and 4075.13 km2 (36.10%), respectively, from 2000 to 2019; these increases accounted for 41.40% and 24.50%, respectively, of the total permanent water body increment. The expanding lakes were mainly distributed on the Tibetan Plateau, whereas the rapidly growing reservoirs were mainly located on the Northeast Plain and Eastern Plain. Statistical analyses indicated that artificial reservoirs were an important factor controlling both permanent and seasonal water body changes in most of provinces. Climate factors, such as precipitation and temperature, were the main influencing factors affecting the changes in different water bodies in the sparsely populated Tibetan Plateau.
Keywords: China’s surface water; lakes and reservoirs; variation; climate change; human activity; Landsat China’s surface water; lakes and reservoirs; variation; climate change; human activity; Landsat
Graphical Abstract

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MDPI and ACS Style

Yu, B.; Cui, B.; Zang, Y.; Wu, C.; Zhao, Z.; Wang, Y. Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sens. 2021, 13, 1154. https://doi.org/10.3390/rs13061154

AMA Style

Yu B, Cui B, Zang Y, Wu C, Zhao Z, Wang Y. Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sensing. 2021; 13(6):1154. https://doi.org/10.3390/rs13061154

Chicago/Turabian Style

Yu, Bowei, Baoshan Cui, Yongge Zang, Chunsheng Wu, Zhonghe Zhao, and Youxiao Wang. 2021. "Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China" Remote Sensing 13, no. 6: 1154. https://doi.org/10.3390/rs13061154

APA Style

Yu, B., Cui, B., Zang, Y., Wu, C., Zhao, Z., & Wang, Y. (2021). Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sensing, 13(6), 1154. https://doi.org/10.3390/rs13061154

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