AIMC Topic: Harmful Algal Bloom
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A deep learning method for cyanobacterial harmful algae blooms prediction in Taihu Lake, China.
Harmful algae
Jan 28, 2022
Cyanobacterial Harmful Algae Blooms (CyanoHABs) in the eutrophic lakes have become a global environmental and ecological problem. In this study, a CNN-LSTM integrated model for predicting the CyanoHABs area was proposed and applied to the prediction ...
A novel random forest approach to revealing interactions and controls on chlorophyll concentration and bacterial communities during coastal phytoplankton blooms.
Scientific reports
Oct 7, 2021
Increasing occurrence of harmful algal blooms across the land-water interface poses significant risks to coastal ecosystem structure and human health. Defining significant drivers and their interactive impacts on blooms allows for more effective anal...
LSTM Networks to Improve the Prediction of Harmful Algal Blooms in the West Coast of Sabah.
International journal of environmental research and public health
Jul 19, 2021
Harmful algal bloom (HAB) events have alarmed authorities of human health that have caused severe illness and fatalities, death of marine organisms, and massive fish killings. This work aimed to perform the long short-term memory (LSTM) method and co...
Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models.
The Science of the total environment
Jun 19, 2021
Remote sensing techniques have been applied to monitor the spatiotemporal variation of harmful algal blooms (HABs) in many inland waters. However, these studies have been limited to monitor the vertical distribution of HABs due to the optical complex...
Inhibition to crucial enzymes in the lethal effects of the dinoflagellate Karenia mikimotoi on the rotifer Brachionus plicatilis.
Marine environmental research
Dec 21, 2019
Blooms of the dinoflagellate Karenia mikimotoi have cause great financial losses to the marine aquaculture industry. However, the toxicity mechanism of this species is still not fully known. In this study, we evaluated the short-term effects of K. mi...
Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.
The Science of the total environment
Dec 17, 2019
Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problems that appear to be increasing in frequency and expanding in area. One way to help mitigate their impacts on people's health and livelihoods is to dev...
Algal Bloom Prediction Using Extreme Learning Machine Models at Artificial Weirs in the Nakdong River, Korea.
International journal of environmental research and public health
Sep 21, 2018
In this study, we design an intelligent model to predict chlorophyll-a concentration, which is the primary indicator of algal blooms, using extreme learning machine (ELM) models. Modeling algal blooms is important for environmental management and eco...
Four Major South Korea's Rivers Using Deep Learning Models.
International journal of environmental research and public health
Jun 24, 2018
Harmful algal blooms are an annual phenomenon that cause environmental damage, economic losses, and disease outbreaks. A fundamental solution to this problem is still lacking, thus, the best option for counteracting the effects of algal blooms is to ...
The allelopathic effect and safety evaluation of 3,4-Dihydroxybenzalacetone on Microcystis aeruginosa.
Pesticide biochemistry and physiology
Aug 14, 2017
Harmful algal blooms (HABs) has been a serious problem in recent years, because of large quantities of cyanobacterial in eutrophic water. We studied the effects of 3,4-Dihydroxybenzalacetone (DBL) and other four compounds (vanillic acid, ferulic acid...
A novel application of an adaptable modeling approach to the management of toxic microalgal bloom events in coastal areas.
Harmful algae
Mar 10, 2017
Harmful algal blooms have been increasing in frequency in recent years, and attention has shifted from describing to modeling and trying to predict these phenomena, since in many cases they pose a risk to human health and coastal activities. Predicti...
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