AIMC Topic: Water Pollution
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Identifying and addressing challenges in gross pollutant trap maintenance: perspectives from the Australian stormwater industry.
Marine pollution bulletin
Apr 16, 2025
A common approach to removing pollution from stormwater is through the installation of gross pollutant traps (GPTs). However, GPTs are often not maintained effectively, leading to pollution accumulation and additional pollution bypassing into natural...
A novel deep learning-based floating garbage detection approach and its effectiveness evaluation in environmentally sustainable development.
Journal of environmental management
Apr 5, 2025
Floating garbage removal is an essential environmental strategy to reduce water pollution and achieve environmental sustainability, and it is a pressing issue for global ecological restoration. Under the interference of complex environments, floating...
Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning.
Ecotoxicology and environmental safety
Apr 5, 2025
Identification of groundwater pollution sources (IGPSs) is a prerequisite for pollution remediation and pollution risk prediction. Data assimilation approaches have been used extensively in IGPSs field in recent years. A data assimilation approach-un...
Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review.
Journal of contaminant hydrology
Mar 17, 2025
Water quality (WQ) is a metric for assessing the overall health and safety of water bodies like a river. Owing to the habitation of anthropogenic habitation around its basin, the rivers can become one of the most contaminated water sources globally. ...
Prediction of surface water pollution using wavelet transform and 1D-CNN.
Water science and technology : a journal of the International Association on Water Pollution Research
Mar 4, 2025
Permanganate index (COD), total nitrogen, and ammonia nitrogen are important indicators that represent the degree of pollution of surface water. This study combined ultraviolet-visible (UV-vis) spectroscopy with a one-dimensional convolutional neural...
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence.
Environmental pollution (Barking, Essex : 1987)
Jan 7, 2025
Antimicrobial resistance refers to the ability of pathogens to develop resistance to drugs designed to eliminate them, making the infections they cause more difficult to treat and increasing the likelihood of disease diffusion and mortality. As such,...
Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning.
Environment international
Dec 24, 2024
Identifying and differentiating human activities is crucial for effectively preventing the threats posed by environmental pollution to aquatic ecosystems and human health. Machine learning (ML) is a powerful analytical tool for tracking human impacts...
Recent advances in groundwater pollution research using machine learning from 2000 to 2023: A bibliometric analysis.
Environmental research
Dec 20, 2024
Groundwater pollution has become a global challenge, posing significant threats to human health and ecological environments. Machine learning, with its superior ability to capture non-linear relationships in data, has shown significant potential in a...
Identifying and quantifying multiple pollution sources in estuaries using fluorescence spectra and gradient-based deep learning.
Marine pollution bulletin
Nov 16, 2024
This study developed an intelligent method for identifying and quantifying water pollution sources in estuarine areas. It characterized the excitation-emission matrix (EEM) fluorescence spectra from seven end-members, including seawater, rainwater, a...
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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