Work

Use statistical machine learning to detect nutrient thresholds in Microcystis blooms and microcystin management

Year: 2020

Type: article

Source: Harmful Algae

DOI: 10.1016/j.hal.2020.101807

Authors: Kun Shan, Xiaoxiao Wang, Hong Yang, Botian Zhou, Lirong Song, Mingsheng Shang

Institutions: Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, University of Chinese Academy of Sciences, University of Reading, Institute of Hydrobiology, State Key Laboratory of Freshwater Ecology and Biotechnology

Language: English

Topic: Aquatic Ecosystems and Phytoplankton Dynamics

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: National Natural Science Foundation of China, Chongqing Science and Technology Commission, National Key Research and Development Program of China

Awards: G3537764463, G4469381570, G7242022769

OpenAlex ID: W3020534451

FWCI: 1.83

Cites: 74

Cited by: 40

Related to: 10