AIMC Topic: Water Quality

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A new method for drinking water quality risk assessment based on data-driven.

Environmental geochemistry and health May 21, 2025
Risk assessment of water quality plays a crucial role in sustainable management of water resource. However, evaluating drinking water quality risk for different types of water within the same framework is a challenging task. The Water Quality Index (...
Environmental Monitoring Machine Learning Water Pollutants, Chemical Risk Assessment Water Quality Drinking Water Fuzzy Logic
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Holistic characterization of water quality parameters to understand the ecological impacts of eutrophication.

Marine pollution bulletin May 17, 2025
The naturally oligotrophic waters of the Florida Keys, U.S.A., can be impacted by small increases in nutrients, which are reflected by increased phytoplankton productivity and over time, produce hypoxic conditions, a process called "eutrophication." ...
Water Quality Chlorophyll A Florida Environmental Monitoring Phytoplankton Eutrophication
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Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Environmental science & technology May 6, 2025
Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes worldwide. Determining how to control both greenhouse gas emissions and water quality decline is a long-term challenge. We compiled data on the annual a...
Carbon Phosphorus Carbon Dioxide Eutrophication Lakes Water Quality Carbon Sequestration
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Exploring the nexus between coastal tourism growth and eutrophication: Challenges for environmental management.

Marine pollution bulletin Apr 16, 2025
Coastal tourism has witnessed rapid growth over the past two decades, often accompanied by increasing environmental concerns, particularly eutrophication in sensitive marine zones. This study explores the relationship between coastal tourism expansio...
Support Vector Machine Water Pollutants, Chemical Nitrogen Eutrophication Environmental Monitoring Conservation of Natural Resources Phosphorus Tourism Water Quality Mediterranean Sea
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Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake.

Environmental monitoring and assessment Apr 15, 2025
A timely and accurate understanding of lake water quality is significant for maintaining ecological balance, ensuring water resource security, and promoting regional sustainable development. However, due to the varying numerical ranges and characteri...
Water Quality Chlorophyll Environmental Monitoring Lakes Machine Learning Water Pollutants, Chemical Nutrients Nitrogen China Algorithms Phosphorus
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Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management Apr 3, 2025
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...
Algorithms Environmental Monitoring Machine Learning Water Quality Support Vector Machine Decision Trees Waste Management
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Statistical analysis and prediction via neural networks of water quality in the Middle Paraíba do Sul (Rio de Janeiro State, Brazil) region in the period (2012-2022).

Environmental science and pollution research international Apr 3, 2025
The aim of this study is to accurately predict the water quality at these points over a decade through the combined use of statistical tools and artificial intelligence. This study brings the innovative use of neural networks implemented with the GRN...
Water Quality Brazil Neural Networks, Computer Rivers Environmental Monitoring
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Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

Journal of environmental management Apr 2, 2025
With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only access...
Water Quality Rivers Nitrogen Phosphorus Carbon Deep Learning Feasibility Studies Environmental Monitoring Water Pollutants, Chemical
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Effective evaluation of greenhouse gases (GHGs) emissions from anoxic/oxic (A/O) process of regenerated papermaking wastewater treatment through hybrid deep learning techniques: Leveraging the critical role of water quality indicators.

Journal of environmental management Apr 1, 2025
Accurate accounting of greenhouse gases (GHGs) emissions from industrial wastewater treatment processes/plants with high organic concentration and fluctuating inflows is crucial for the calculation and management of carbon emissions. The impacts of w...
Wastewater Deep Learning Water Quality Greenhouse Gases Waste Disposal, Fluid Neural Networks, Computer
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Water quality parameters-based prediction of dissolved oxygen in estuaries using advanced explainable ensemble machine learning.

Journal of environmental management Apr 1, 2025
The dissolved oxygen (DO) is crucial for the ecological health of estuaries and bays. However, human activities, land-sea interactions, and the unclear impact mechanisms of water quality parameters (WQPs) pose challenges to DO prediction. Water quali...
Nitrogen Water Quality Estuaries Rivers Environmental Monitoring Oxygen Machine Learning China
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