Cargando…
Using machine learning to understand the implications of meteorological conditions for fish kills
Fish kills, often caused by low levels of dissolved oxygen (DO), involve with complex interactions and dynamics in the environment. In many places the precise cause of massive fish kills remains uncertain due to a lack of continuous water quality monitoring. In this study, we tested if meteorologica...
Autores principales: | Chen, You-Jia, Nicholson, Emily, Cheng, Su-Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550581/ https://www.ncbi.nlm.nih.gov/pubmed/33046733 http://dx.doi.org/10.1038/s41598-020-73922-3 |
Ejemplares similares
-
An assessment of meteorological parameters effects on COVID-19 pandemic in Bangladesh using machine learning models
por: Karmokar, Jaionto, et al.
Publicado: (2022) -
Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data
por: Nakashima, Takahiro, et al.
Publicado: (2021) -
Coastal Water Quality Modelling Using E. coli, Meteorological Parameters and Machine Learning Algorithms
por: Tselemponis, Athanasios, et al.
Publicado: (2023) -
Can Machine Learning Provide Understanding? How Cosmologists Use Machine Learning to Understand Observations of the Universe
por: Meskhidze, Helen
Publicado: (2021) -
Progress in Understanding Algal Bloom-Mediated Fish Kills: The Role of Superoxide Radicals, Phycotoxins and Fatty Acids
por: Dorantes-Aranda, Juan José, et al.
Publicado: (2015)