Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea-Reference-Cited by-同舟云学术

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

Published:2015-01 Issue: Volume:502 Page:31-41
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Park Yongeun,Cho Kyung Hwa,Park Jihwan,Cha Sung Min,Kim Joon Ha

Funder

National Research Foundation

Ministry of Science, ICT & Future Planning

Publisher

Elsevier BV

Subject

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

Reference82 articles.

1. Trophic interactions and direct physical effects control phytoplankton biomass and production in an estuary;Alpine;Limnol Oceanogr,1992

2. Monitoring and management strategies for harmful algal blooms in coastal waters;Anderson,2001

3. Modelling the interacting effects of nutrient uptake, light capture and temperature on phytoplankton growth;Baird;J Plankton Res,2001

4. Support vector machine regression (SVR/LS-SVM) — An alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data;Balabin;Analyst,2011

5. Long-term nutrient enrichment of an estuarine system: Ythan, Scotland (1958–1993);Balls;Environ Pollut,1995

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