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Multi-factor analysis of algal blooms in gate-controlled urban water bodies by data mining

  • Published:2021-01 Issue: Volume:753 Page:141821
  • ISSN:0048-9697
  • Container-title:Science of The Total Environment
  • language:en
  • Short-container-title:Science of The Total Environment

Author:

Li Ke,Xu Te,Xi Jinying,Jia Haifeng,Gao Zhengjuan,Sun Zhaoxia,Yin Dingkun,Leng Linyuan

Funder

Major Science and Technology Program for Water Pollution Control and Treatment

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference47 articles.

1. Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay;Anderson;J. Marine Syst.,2010

2. Analysis and modeling of algal blooms in the Nakdong River, Korea;Bae;Ecol. Model.,2018

3. Revised criteria for noise in buildings;Beranek;Noise Control,1957

4. Classification and Regression Trees;Breiman,1984

5. Characterization and causes analysis for algal blooms in large river system;Cheng;Sustain. Cities Soc.,2019
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