AIMC Topic: Water Pollution
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Precise management and control around the landfill integrating artificial intelligence and groundwater pollution risks.
Chemosphere
Aug 24, 2024
The Landfill plays an important role in urban development and waste disposal. However, landfill leachate may also bring more serious pollution and health risks to the surrounding groundwater environment. Compared with other areas, the area around the...
Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning.
Water research
Jul 30, 2024
Pollution control and environmental protection of the Yangtze River have received major attention in China. However, modeling the river's pollution load remains challenging due to limited monitoring and unclear spatiotemporal distribution of pollutio...
Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method.
Marine pollution bulletin
Jul 12, 2024
The escalating growth of the global population has led to degraded water quality, particularly in seawater environments. Water quality monitoring is crucial to understanding the dynamic changes and implementing effective management strategies. In thi...
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management.
Environmental science and pollution research international
Jun 17, 2024
In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge and jeopardise the achievement of sustainable development goals. The urgent need for rapid and accurate monitoring and assessment of water quality requires sophistica...
Occurrence and Distribution of Antibacterial Quaternary Ammonium Compounds in Chinese Estuaries Revealed by Machine Learning-Assisted Mass Spectrometric Analysis.
Environmental science & technology
Jun 13, 2024
Antimicrobial resistance (AMR) undermines the United Nations Sustainable Development Goals of good health and well-being. Antibiotics are known to exacerbate AMR, but nonantibiotic antimicrobials, such as quaternary ammonium compounds (QACs), are now...
Remotely sensed estimates of long-term biochemical oxygen demand over Hong Kong marine waters using machine learning enhanced by imbalanced label optimisation.
The Science of the total environment
Jun 8, 2024
In many coastal cities around the world, continuing water degradation threatens the living environment of humans and aquatic organisms. To assess and control the water pollution situation, this study estimated the Biochemical Oxygen Demand (BOD) conc...
Identification of agricultural surface source pollution in plain river network areas based on 3D-EEMs and convolutional neural networks.
Water science and technology : a journal of the International Association on Water Pollution Research
Apr 15, 2024
Agricultural non-point sources, as major sources of organic pollution, continue to flow into the river network area of the Jiangnan Plain, posing a serious threat to the quality of water bodies, the ecological environment, and human health. Therefore...
Deep learning in water protection of resources, environment, and ecology: achievement and challenges.
Environmental science and pollution research international
Feb 2, 2024
The breathtaking economic development put a heavy toll on ecology, especially on water pollution. Efficient water resource management has a long-term influence on the sustainable development of the economy and society. Economic development and ecolog...
Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates.
Science (New York, N.Y.)
Jan 25, 2024
We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the...
Reusable and Practical Biocomposite Based on sp. YF1 and Polyacrylonitrile-Based Carbon Fiber for the Efficient Bioremediation of Microcystin-LR-Contaminated Water.
Toxins
Dec 29, 2023
Microbial degradation is a cost-effective and environmentally friendly method for removing microcystin-LR (MC-LR). However, the application of free bacteria has limitations due to low operational stability and difficulties in recovery. In a previous ...
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