AIMC Topic: Eutrophication

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Comparative analysis of machine learning methods for prediction of chlorophyll-a in a river with different hydrology characteristics: A case study in Fuchun River, China.

Journal of environmental management Jun 11, 2024
Eutrophication is a serious threat to water quality and human health, and chlorophyll-a (Chla) is a key indicator to represent eutrophication in rivers or lakes. Understanding the spatial-temporal distribution of Chla and its accurate prediction are ...
Eutrophication China Environmental Monitoring Machine Learning Chlorophyll Chlorophyll A Hydrology Water Quality Rivers
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Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine learning: Validation with toxic species under environmental ranges.

The Science of the total environment Apr 26, 2024
Cyanobacteria are major contributors to algal blooms in inland waters, threatening ecosystem function and water uses, especially when toxin-producing strains dominate. Here, we examine 140 hyperspectral (HS) images of five representatives of the wide...
Harmful Algal Bloom Machine Learning Cyanobacteria Environmental Monitoring Eutrophication Hyperspectral Imaging
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An optical mechanism-based deep learning approach for deriving water trophic state of China's lakes from Landsat images.

Water research Jan 24, 2024
Widespread eutrophication has been considered as the most serious environment problems in the world. Given the critical roles of lakes in human society and serious negative effects of water eutrophication on lake ecosystems, it is thus fundamentally ...
Humans Ecosystem Eutrophication China Water Lakes Environmental Monitoring Deep Learning
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Artificial intelligence to explain the variables that favor the cyanobacteria steady-state in tropical ecosystems: A Bayeasian network approach.

Anais da Academia Brasileira de Ciencias Dec 1, 2023
The steady-state is a situation of little variability of species dominance and total biomass over time. Maintenance of cyanobacteria are often observed in tropical and eutrophic ecosystems and can cause imbalances in aquatic ecosystem. Bayeasian netw...
Eutrophication Cyanobacteria Artificial Intelligence Lakes Biomass Ecosystem
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Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm.

Environmental monitoring and assessment May 20, 2023
Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to control. Based on the analysis of the temporal and spatial variation characteristics of environmental factors, this study uses a support vector machine re...
Nitrogen Phosphorus Rivers Environmental Monitoring Support Vector Machine Chlorophyll Chlorophyll A Lakes China Eutrophication
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Automated Secchi disk depth measurement based on artificial intelligence object recognition.

Marine pollution bulletin Nov 23, 2022
Water transparency affects the degree of sunlight penetration in water, which is important to many water quality processes. It can be visually measured by lowering a Secchi disk (SD) into water and recording its disappearance depth - the Secchi disk ...
Circadian Rhythm Eye Algorithms Eutrophication Humans Artificial Intelligence
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Research on Cyanobacterial-Bloom Detection Based on Multispectral Imaging and Deep-Learning Method.

Sensors (Basel, Switzerland) Jun 17, 2022
Frequent outbreaks of cyanobacterial blooms have become one of the most challenging water ecosystem issues and a critical concern in environmental protection. To overcome the poor stability of traditional detection algorithms, this paper proposes a m...
Ecosystem Cyanobacteria Deep Learning Eutrophication Environmental Monitoring
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Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach.

Water research May 14, 2022
The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents a promising solution to algal bloom forecasting. However, the discontinuous and non-stationary processes within algal dynamics still largely limit the functions of ...
Eutrophication Lakes Deep Learning Neural Networks, Computer Forecasting
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Early warning of algal blooms based on the optimization support vector machine regression in a typical tributary bay of the Three Gorges Reservoir, China.

Environmental geochemistry and health Mar 10, 2022
Algal blooms caused by climate change and human activities have received considerable attention in recent years. Since chlorophyll a (Chl-a) can be used as an indicator of phytoplankton biomass, it has been selected as a direct indicator for monitori...
Eutrophication China Chlorophyll A Bays Support Vector Machine Humans Artificial Intelligence
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Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter.

PloS one Feb 7, 2022
Routing protocols for underwater wireless sensor networks (UWSN) and underwater Internet of Things (IoT_UWSN) networks have expanded significantly. DBR routing protocol is one of the most critical routing protocols in UWSNs. In this routing protocol,...
Wireless Technology Biosensing Techniques Oceans and Seas Fuzzy Logic Water Microbiology Quality Improvement Cluster Analysis Humans Algorithms Electric Power Supplies Eutrophication Filtration Computer Simulation Computer Communication Networks Water
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