Cargando…
Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
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 th...
Autores principales: | Kim, Jun Song, Seo, Il Won, Baek, Donghae |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592884/ https://www.ncbi.nlm.nih.gov/pubmed/31239474 http://dx.doi.org/10.1038/s41598-019-45621-1 |
Ejemplares similares
-
Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis
por: Kwon, Siyoon, et al.
Publicado: (2021) -
Impact assessment of barge trafficking on phytoplankton abundance and Chl a concentration, in River Ganga, India
por: Das Sarkar, Soma, et al.
Publicado: (2019) -
Seasonal and spatial patterns of eukaryotic phytoplankton communities in an urban river based on marker gene
por: Yang, Jing, et al.
Publicado: (2021) -
Abundance trends for river macroinvertebrates vary across taxa, trophic group and river typology
por: Powell, Kathryn E., et al.
Publicado: (2022) -
Response of Phytoplankton Photophysiology to Varying Environmental Conditions in the Sub-Antarctic and Polar Frontal Zone
por: Cheah, Wee, et al.
Publicado: (2013)