题名 | Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations |
作者 | |
通讯作者 | Feng,Lian |
发表日期 | 2020-09-01
|
DOI | |
发表期刊 | |
ISSN | 0034-4257
|
EISSN | 1879-0704
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卷号 | 246 |
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 to 43.86 mg m 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. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
|
重要成果 | ESI高被引
|
学校署名 | 第一
; 通讯
|
资助项目 | National Key R&D program of China[2016YFC0402806]
; National Natural Science Foundation of China[41971304][41671338][41890852][41890851]
; High-level Special Funding of the Southern University of Science and Technology[G02296302][G02296402]
|
WOS研究方向 | Environmental Sciences & Ecology
; Remote Sensing
; Imaging Science & Photographic Technology
|
WOS类目 | Environmental Sciences
; Remote Sensing
; Imaging Science & Photographic Technology
|
WOS记录号 | WOS:000537691800034
|
出版者 | |
EI入藏号 | 20202108699807
|
EI主题词 | Chlorophyll
; Eutrophication
; Machine learning
; Lakes
; Landforms
; Potable water
; Remote sensing
|
EI分类号 | Water Resources:444
; Water Analysis:445.2
; Geology:481.1
; Artificial Intelligence:723.4
; Organic Compounds:804.1
|
ESI学科分类 | GEOSCIENCES
|
Scopus记录号 | 2-s2.0-85084957944
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:127
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/137851 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 2.Department of Geoscience and Natural Resource Management,University of Copenhagen,Copenhagen,Denmark 3.Shenzhen Municipal Engineering Lab of Environmental IoT Technologies,Southern University of Science and Technology,Shenzhen,518055,China 4.Department of Physical Geography and Ecosystem Science,Lund University,Lund,Sweden 5.Department of Biology,University of Copenhagen,Copenhagen,Denmark |
第一作者单位 | 环境科学与工程学院 |
通讯作者单位 | 环境科学与工程学院; 南方科技大学 |
第一作者的第一单位 | 环境科学与工程学院 |
推荐引用方式 GB/T 7714 |
Guan,Qi,Feng,Lian,Hou,Xuejiao,et al. Eutrophication changes in fifty large lakes on the Yangtze Plain of China derived from MERIS and OLCI observations[J]. REMOTE SENSING OF ENVIRONMENT,2020,246.
|
APA |
Guan,Qi,Feng,Lian,Hou,Xuejiao,Schurgers,Guy,Zheng,Yi,&Tang,Jing.(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,Qi,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).
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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
2020-Feng lian-Eutro(5715KB) | -- | -- | 限制开放 | -- |
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