Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers

Abstract This study investigates a seasonally varying response of phytoplankton biomass to environmental factors in rivers. Artificial neural network (ANN) models incorporated with a clustering technique, the clustered ANN models, were employed to analyze the relationship between chlorophyll a (Chl-...

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Autores principales:	Jun Song Kim, Il Won Seo, Donghae Baek
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f5b98a4a84f64bafac1d9b9ef18eef01
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spelling	oai:doaj.org-article:f5b98a4a84f64bafac1d9b9ef18eef012021-12-02T15:09:47ZSeasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers10.1038/s41598-019-45621-12045-2322https://doaj.org/article/f5b98a4a84f64bafac1d9b9ef18eef012019-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-45621-1https://doaj.org/toc/2045-2322Abstract This study investigates a seasonally varying response of phytoplankton biomass to environmental factors in rivers. Artificial neural network (ANN) models incorporated with a clustering technique, the clustered ANN models, were employed to analyze the relationship between chlorophyll a (Chl-a) and the explanatory variables in the regulated Nakdong River, South Korea. The results show that weir discharge (Q) and total phosphorus (TP) were the most influential factors on temporal dynamics of Chl-a. The relative importance of both variables increased up to higher than 30% for low water temperature seasons with dominance of diatoms. While, during summer when cyanobacteria predominated, the significance of Q increased up to 45%, while that of TP declined to about 10%. These tendencies highlight that the effects of the river environmental factors on phytoplankton abundance was temporally inhomogeneous. In harmful algal bloom mitigation scenarios, the clustered ANN models reveals that the optimal weir discharge was 400 m3/s which was 67% of the value derived from the non-clustered ANN models. At the immediate downstream of confluence of the Kumho River, the optimal weir discharge should increase up to about 1.5 times because of the increase in the tributary pollutant loads attributed to electrical conductivity (EC).Jun Song KimIl Won SeoDonghae BaekNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jun Song Kim Il Won Seo Donghae Baek Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
description	Abstract This study investigates a seasonally varying response of phytoplankton biomass to environmental factors in rivers. Artificial neural network (ANN) models incorporated with a clustering technique, the clustered ANN models, were employed to analyze the relationship between chlorophyll a (Chl-a) and the explanatory variables in the regulated Nakdong River, South Korea. The results show that weir discharge (Q) and total phosphorus (TP) were the most influential factors on temporal dynamics of Chl-a. The relative importance of both variables increased up to higher than 30% for low water temperature seasons with dominance of diatoms. While, during summer when cyanobacteria predominated, the significance of Q increased up to 45%, while that of TP declined to about 10%. These tendencies highlight that the effects of the river environmental factors on phytoplankton abundance was temporally inhomogeneous. In harmful algal bloom mitigation scenarios, the clustered ANN models reveals that the optimal weir discharge was 400 m3/s which was 67% of the value derived from the non-clustered ANN models. At the immediate downstream of confluence of the Kumho River, the optimal weir discharge should increase up to about 1.5 times because of the increase in the tributary pollutant loads attributed to electrical conductivity (EC).
format	article
author	Jun Song Kim Il Won Seo Donghae Baek
author_facet	Jun Song Kim Il Won Seo Donghae Baek
author_sort	Jun Song Kim
title	Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
title_short	Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
title_full	Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
title_fullStr	Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
title_full_unstemmed	Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
title_sort	seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/f5b98a4a84f64bafac1d9b9ef18eef01
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Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers

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