AIMC Topic: Water Pollution

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Identification of pollution source and prediction of water quality based on deep learning techniques.

Journal of contaminant hydrology Dec 23, 2023
Semi-arid rivers are particularly vulnerable and responsive to the impacts of industrial contamination. Prompt identification and projection of pollutant dynamics are crucial in the accidental pollution incidents, therefore required the timely inform...
Environmental Monitoring Water Pollutants, Chemical Nitrogen Deep Learning China Water Quality Rivers Ammonia Water Pollution Phosphorus
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A fuzzy logic-based approach for groundwater vulnerability assessment.

Environmental science and pollution research international Mar 20, 2023
Groundwater vulnerability assessment systems have been developed to protect groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer based on seven effective parameters. The application of expert opinion in rating an...
Groundwater Environmental Monitoring Water Pollution Nitrates Fuzzy Logic
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Air pollution, water pollution, and robots: Is technology the panacea.

Journal of environmental management Dec 30, 2022
The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this ...
China Robotics Air Pollution Commerce Environmental Pollution Vehicle Emissions Water Pollution Environment
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IoT-based automated water pollution treatment using machine learning classifiers.

Environmental technology Feb 19, 2022
Water is one of the most vital sources for the survival of life. In the globe, the accessibility of water in safe and healthy ways is a major concern. The consumption of unsafe water may lead to health risks. Therefore, it is necessary to classify an...
Humans Machine Learning Algorithms Support Vector Machine Water Pollution
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Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States.

Environmental science and pollution research international Jan 21, 2022
Natural streams longitudinal dispersion coefficient (Kx) is an essential indicator for pollutants transport and its determination is very important. Kx is influenced by several parameters, including river hydraulic geometry, sediment properties, and ...
Water Pollution Rivers Machine Learning United States
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Identification the source of fecal contamination for geographically unassociated samples with a statistical classification model based on support vector machine.

Journal of hazardous materials Dec 11, 2020
The bacterial diversity and corresponding biological significance revealed by high-throughput sequencing contribute massive information to source tracking of fecal contamination. The performances of classification models on predicting the fecal sourc...
Water Pollution Water Microbiology Bacteroidetes Support Vector Machine RNA, Ribosomal, 16S Humans Feces
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Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A review.

Journal of microbiological methods Sep 4, 2020
The development of Microbial Source Tracking (MST) technologies was borne out of necessity. This was largely due to the: 1) inadequacies of the fecal indicator bacterial paradigm, 2) fact that many fecal bacteria can survive and often grow in the env...
Machine Learning Algorithms Humans Microbiota Water Pollution Water Microbiology Bacteriological Techniques High-Throughput Nucleotide Sequencing Bacteria Animals Feces Environmental Monitoring Bayes Theorem
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Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Water Quality Machine Learning Rivers Temperature Humans Water Decision Trees Environmental Monitoring Oxygen Models, Statistical Water Pollution
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Effective allocation of resources in water pollution treatment alternatives: a multi-stage gray group decision-making method based on hesitant fuzzy linguistic term sets.

Environmental science and pollution research international Dec 14, 2019
With the significant economic shift, water pollution treatment has gradually become a key problem which needs to be deeply investigated for the sustainable development of China. In the face of specific water pollution incidents, multiple alternatives...
Environmental Restoration and Remediation Water Pollution Linguistics Fuzzy Logic China Decision Making Resource Allocation
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Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model.

International journal of environmental research and public health Feb 4, 2019
Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for e...
Remote Sensing Technology Spatial Regression Neural Networks, Computer Models, Spatial Interaction Particulate Matter China Water Pollution Water Pollutants
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