AIMC Topic: Water Quality

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Time series-based machine learning for forecasting multivariate water quality in full-scale drinking water treatment with various reagent dosages.

Water research Nov 9, 2024
Accurately predicting drinking water quality is critical for intelligent water supply management and for maintaining the stability and efficiency of water treatment processes. This study presents an optimized time series machine learning approach for...
Water Purification Water Quality Machine Learning Drinking Water
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Assessment of groundwater quality variation characteristics and influencing factors in an intensified agricultural area: An integrated hydrochemical and machine learning approach.

Journal of environmental management Nov 6, 2024
The decline in groundwater quality in intensive agricultural areas in recent years, driven by environmental change and intensified human activity, poses a significant threat to agricultural production and public health, requiring attention and effect...
Water Quality Environmental Monitoring Water Pollutants, Chemical Agriculture Groundwater Algorithms China Machine Learning
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Enhancing long-term water quality modeling by addressing base demand, demand patterns, and temperature uncertainty using unsupervised machine learning techniques.

Water research Oct 25, 2024
Water quality modelling in Water Distribution systems (WDS) is frequently affected by uncertainties in input variables such as base demand and decay constants. When utilizing simulation tools like EPANET, which necessitate exact numerical inputs, the...
Temperature Chlorine Water Quality Uncertainty Models, Theoretical Unsupervised Machine Learning
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Quality evaluation parameter and classification model for effluents of wastewater treatment plant based on machine learning.

Water research Oct 24, 2024
With the growing consensus of emerging pollutants and biological toxicity risks in wastewater treatment plant (WWTP) effluents, traditional water quality management based on general chemical parameters no longer meets the new challenges. Here, a firs...
Water Quality China Machine Learning Water Purification Environmental Monitoring Waste Disposal, Fluid Wastewater Animals Water Pollutants, Chemical
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Derivation of marine water quality criteria for copper based on artificial neural network model.

Environmental pollution (Barking, Essex : 1987) Oct 21, 2024
The water chemical effects of copper have been a focus in the study of water quality criteria (WQC). Currently, multiple regression models are commonly used to quantitatively describe the impact of environmental factors on Cu toxicity in WQC studies....
Neural Networks, Computer Animals Seawater Copper Environmental Monitoring Water Quality Water Pollutants, Chemical
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Enhancing local-scale groundwater quality predictions using advanced machine learning approaches.

Journal of environmental management Oct 15, 2024
Assessing groundwater quality typically involves labor-intensive, time-consuming, and costly laboratory tests, making real-time monitoring impractical, especially at the local level. Groundwater quality projections at the local scale using broad spat...
Machine Learning Algorithms Groundwater Environmental Monitoring Water Quality
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Dynamic patterns and potential drivers of river water quality in a coastal city: Insights from a machine-learning-based framework and water management.

Journal of environmental management Oct 15, 2024
River water quality continues to deteriorate under the coupled effects of climate change and human activities. Machine learning (ML) is a promising approach for analyzing water quality. Nevertheless, the spatiotemporal dynamics of river water quality...
Rivers Cities Environmental Monitoring Phosphorus Machine Learning Water Quality Nitrogen China
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Leveraging explainable machine learning for enhanced management of lake water quality.

Journal of environmental management Oct 13, 2024
Freshwater lakes worldwide suffer from eutrophication caused by excessive nutrient loads, particularly nitrogen (N) and phosphorus (P) from wastewater and runoff, affecting aquatic life and public health. Using a large (1800 km) subtropical lake as a...
Water Quality Florida Lakes Environmental Monitoring Nitrogen Phosphorus Algorithms Eutrophication Machine Learning
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Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal.

Journal of environmental management Oct 13, 2024
In the pursuit of understanding surface water quality for sustainable urban management, we created a machine learning modeling framework that utilized Random Forest (RF), Cubist, Extreme Gradient Boosting (XGB), Multivariate Adaptive Regression Splin...
Machine Learning India Support Vector Machine Water Quality
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Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoir.

Environmental research Oct 9, 2024
The proliferation of harmful algal blooms results in adverse impacts on aquatic ecosystems and public health. Early warning system monitors algal bloom occurrences and provides management strategies for promptly addressing high-concentration algal bl...
Harmful Algal Bloom Environmental Monitoring Neural Networks, Computer Water Quality Cyanobacteria Deep Learning
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