Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China

Author:

Ma Chunlei1,Zhao Jun1234ORCID,Ai Bin123,Sun Shaojie123,Yang Zhihao5

Affiliation:

1. School of Marine Sciences Sun Yat‐sen University Zhuhai Guangdong China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai Guangdong China

3. Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering Guangzhou Guangdong China

4. Pearl River Estuary Marine Ecosystem Research Station Ministry of Education Zhuhai Guangdong China

5. Guangdong Marine Development Planning Research Center Guangzhou Guangdong China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Reference58 articles.

1. Understanding the influence of suspended solids on water quality and aquatic biota

2. Declining oxygen in the global ocean and coastal waters

3. Carder K. Chen F. R. Lee Z. P. Hawes S. K. &Cannizaro J. P.(2003). MODIS Ocean Science Team Algorithm Theoretical Basis Document ATBD 19 Case 2 Chlorophyll a Version 7. 30 College of Marine Science University of South Florida.

4. The use of MODIS 250m bands to improve the MODIS 1km ocean color atmospheric correction algorithm in turbid water

5. Improving ocean color data coverage through machine learning

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