AIMC Topic: Water Quality
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How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant.
Water research
Dec 25, 2024
Wastewater treatment plants (WWTPs) generate vast amounts of water quality, operational, and biological data. The potential of these big data, particularly through machine learning (ML), to improve WWTP management is increasingly recognized. However,...
Reproductive performance of Channa striata in wetland ecosystems: a fuzzy logic approach to water quality and eco-climatic factors for long-term sustainable management and aquaculture advancement.
Environmental science and pollution research international
Dec 10, 2024
The striped snakehead, Channa striata, is commercially and nutritionally important due to its medicinal properties, such as wound healing and antimicrobial abilities. This study investigated the reproductive biology of C. striata in relation to hydro...
Dongting Lake algal bloom forecasting: Robustness and accuracy analysis of deep learning models.
Journal of hazardous materials
Dec 5, 2024
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, prompting efforts to predict their occurrence for swift action by water management agencies. Despite the potential for high-precision forecasting through machine learning, t...
Enhancing groundwater quality prediction through ensemble machine learning techniques.
Environmental monitoring and assessment
Dec 4, 2024
Groundwater quality is assessed by conducting water sampling and laboratory analysis. Field-based measurements are costly and time-consuming. This study introduces a machine learning (ML)-based framework and innovative application of stacking ensembl...
Feasibility of classification of drainage and river water quality using machine learning methods based on multidimensional data from a gas sensor array.
Annals of agricultural and environmental medicine : AAEM
Dec 2, 2024
OBJECTIVE: The aim of the study is to verify whether the electronic nose system - an array of 17 gas sensors with a signal analysis system - is a useful tool for the classification and preliminary assessment of the quality of drainage water.
Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches.
Water research
Nov 29, 2024
The eutrophication of lakes and the subsequent algal blooms have become significant environmental issues of global concern in recent years. With ongoing global warming and intensifying human activities, water quality trends in lakes worldwide varied ...
Improving fecal bacteria estimation using machine learning and explainable AI in four major rivers, South Korea.
The Science of the total environment
Nov 19, 2024
This study addresses the critical public health issue of fecal coliform contamination in the four major rivers in South Korea (Han, Nakdong, Geum, and Yeongsan rivers) by applying advanced machine learning (ML) algorithms combined with Explainable Ar...
Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed.
Journal of environmental management
Nov 19, 2024
Prediction and quantification of nutrient concentrations in surface water has gained substantial attention during recent decades because excess nutrients released from agricultural and urban watersheds can significantly deteriorate surface water qual...
Long-term water quality assessment in coastal and inland waters: An ensemble machine-learning approach using satellite data.
Marine pollution bulletin
Nov 16, 2024
Accurate estimation of coastal and in-land water quality parameters is important for managing water resources and meeting the demand of sustainable development goals. The water quality monitoring based on discrete water sample analysis is limited to ...
Unravelling integrated groundwater management in pollution-prone agricultural cities: A synergistic approach combining probabilistic risk, source apportionment and artificial intelligence.
Journal of hazardous materials
Nov 15, 2024
Groundwater is vital for agricultural cities, but intensive farming and fertilizer use have increased contamination risks, particularly for non-carcinogenic health hazards. This study reveals the sources of contaminants in groundwater, their health i...
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