AIMC Journal:
Journal of environmental management

Showing 191 to 200 of 344 articles

Forecasting of compound ocean-fluvial floods using machine learning.

Journal of environmental management Jun 13, 2024
Flood modelling and forecasting can enhance our understanding of flood mechanisms and facilitate effective management of flood risk. Conventional flood hazard and risk assessments usually consider one driver at a time, whether it is ocean, fluvial or...
Support Vector Machine Neural Networks, Computer Forecasting Rivers Machine Learning Models, Theoretical Floods Oceans and Seas
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Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning.

Journal of environmental management Jun 13, 2024
Optimization and control of wastewater treatment process (WTP) can contribute to cost reduction and efficiency. A wastewater treatment process multi-objective optimization (WTPMO) framework is proposed in this paper to provide suggestions for decisio...
Algorithms Water Purification Bayes Theorem Machine Learning Water Quality Waste Disposal, Fluid Wastewater Models, Theoretical
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Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches.

Journal of environmental management Jun 13, 2024
Floods are natural occurrences that pose serious risks to human life and the environment, including significant property and infrastructure damage and subsequent socioeconomic challenges. Recent floods in Cheongju County, South Korea have been linked...
Floods Algorithms Republic of Korea Machine Learning
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Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting.

Journal of environmental management Jun 12, 2024
One of the important non-engineering measures for flood forecasting and disaster reduction in watersheds is the application of machine learning flood prediction models, with Long Short-Term Memory (LSTM) being one of the most representative time seri...
Machine Learning Forecasting Models, Theoretical Rivers Neural Networks, Computer Floods Water Movements
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A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods.

Journal of environmental management Jun 12, 2024
The considerable amount of energy utilized by buildings has led to various environmental challenges that adversely impact human existence. Predicting buildings' energy usage is commonly acknowledged as encouraging energy efficiency and enabling well-...
Decision Trees Machine Learning Algorithms Family Characteristics Forecasting Humans Cluster Analysis Neural Networks, Computer
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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 ...
Chlorophyll A Hydrology Environmental Monitoring Water Quality Rivers Eutrophication Chlorophyll China Machine Learning
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Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia.

Journal of environmental management Jun 9, 2024
Climate change is one of the most pressing challenges of our time, profoundly impacting global water resources and sustainability. This study aimed to predict the long-term effects of climate change on the Gilgel Gibe watershed by integrating machine...
Machine Learning Algorithms Climate Change Models, Theoretical Ethiopia
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Machine learning-based surrogate modelling of a robust, sustainable development goal (SDG)-compliant land-use future for Australia at high spatial resolution.

Journal of environmental management Jun 5, 2024
We developed a high-resolution machine learning based surrogate model to identify a robust land-use future for Australia which meets multiple UN Sustainable Development Goals. We compared machine learning models with different architectures to pick t...
Machine Learning Ecosystem Sustainable Development Conservation of Natural Resources Australia Agriculture Biodiversity Models, Theoretical
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Ensemble machine learning using hydrometeorological information to improve modeling of quality parameter of raw water supplying treatment plants.

Journal of environmental management Jun 5, 2024
Source and raw water quality may deteriorate due to rainfall and river flow events that occur in watersheds. The effects on raw water quality are normally detected in drinking water treatment plants (DWTPs) with a time-lag after these events in the w...
Models, Theoretical Water Quality Rivers Machine Learning Water Purification
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Automated identification of toxigenic cyanobacterial genera for water quality control purposes.

Journal of environmental management Jun 4, 2024
Cyanobacteria are the dominating microorganisms in aquatic environments, posing significant risks to public health due to toxin production in drinking water reservoirs. Traditional water quality assessments for abundance of the toxigenic genera in wa...
Water Quality Automation Cyanobacteria Quality Control Neural Networks, Computer Algorithms
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