气候变化领域集成服务门户(CCPortal): Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations

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DOI	10.1016/j.rse.2020.111890
	Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations
	Guan Q.; Feng L.; Hou X.; Schurgers G.; Zheng Y.; Tang J.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	The eutrophication problems in lakes on the Yangtze Plain of China have attracted global concern. However, a comprehensive assessment of the eutrophication status and its evolution is still lacking for these regional lakes, mostly because of technical difficulties and/or insufficient data to cover the large region. Our study attempts to fill this knowledge gap by using the entire archive of remote sensing images from two satellite ocean color missions (MEdium Resolution Imaging Spectrometer, or MERIS (2003−2011), and Ocean and Land Color Instrument, or OLCI (2017–2018)), together with in situ data on remote sensing reflectance and chlorophyll-a (Chla) concentrations across various lakes on the Yangtze Plain. A machine learning-based piecewise Chla algorithm was developed in this study, with special considerations to improve algorithm performance under lower Chla conditions. Remotely sensed Chla and algal bloom areas were then used to classify the eutrophication status of 50 large lakes on the Yangtze Plain, and the frequent satellite observations enabled us to estimate the probability of eutrophication occurrence (PEO) for each examined lake. The long-term mean Chla ranged from 17.58 mg m−3 to 43.86 mg m−3 on the Yangtze Plain, and severe floating algal blooms were found in 7 lakes. All 50 lakes had high climatological PEO values (50%) during the study period, indicating a generally high probability of eutrophication in lakes on the Yangtze Plain. However, 21 out of 51 lakes exhibited statistically significant (p < .05) decreasing trends in PEO during the observation period, suggesting an overall improvement in the water quality of lakes on the Yangtze Plain in recent years. The methods developed here are expected to contribute to real-time monitoring of drinking water safety for local regions, and the long-term results provide valuable baseline information for future lake conservation and restoration efforts. © 2020 Elsevier Inc.
英文关键词	Algal bloom; Chlorophyll-a; Eutrophication; Lakes; MERIS; OLCI; Water quality; Yangtze Plain
语种	英语
scopus关键词	Lakes; Landforms; Machine learning; Potable water; Remote sensing; Water conservation; Water quality; Algorithm performance; Comprehensive assessment; Medium resolution imaging spectrometers; Remote sensing images; Remote-sensing reflectance; Satellite observations; Satellite Ocean Color; Technical difficulties; Eutrophication; algorithm; chlorophyll a; eutrophication; lake ecosystem; learning; MERIS; ocean color; reflectometry; remote sensing; satellite imagery; water quality; China; Yangtze Basin; algae
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179279
作者单位	School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; Department of Geoscience and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark; Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden; Department of Biology, University of Copenhagen, Copenhagen, Denmark
推荐引用方式 GB/T 7714	Guan Q.,Feng L.,Hou X.,et al. Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations[J],2020,246.
APA	Guan Q.,Feng L.,Hou X.,Schurgers G.,Zheng Y.,&Tang J..(2020).Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations.Remote Sensing of Environment,246.
MLA	Guan Q.,et al."Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations".Remote Sensing of Environment 246(2020).