AIMC Topic: Water Pollution

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A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States.

Environmental monitoring and assessment Mar 19, 2015
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for planning and management of water resource structures. More recently, soft computing techniques have been used in hydrological and environmental modeling. The pres...
United States Geologic Sediments Environmental Monitoring Water Pollution Fuzzy Logic Rivers Neural Networks, Computer Artificial Intelligence
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Predicting fecal sources in waters with diverse pollution loads using general and molecular host-specific indicators and applying machine learning methods.

Journal of environmental management Jan 10, 2015
In this study we use a machine learning software (Ichnaea) to generate predictive models for water samples with different concentrations of fecal contamination (point source, moderate and low). We applied several MST methods (host-specific Bacteroide...
Bacteria Real-Time Polymerase Chain Reaction Artificial Intelligence Environmental Monitoring Feces Software Water Pollution Water Microbiology Coliphages
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Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations.

Environmental science and pollution research international Oct 5, 2014
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to report annual BOD values to Eur...
Rivers Neural Networks, Computer Linear Models Reproducibility of Results Europe Monte Carlo Method Models, Theoretical Water Pollution Conservation of Natural Resources Decision Making Biological Oxygen Demand Analysis Water Quality
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Evaluating marine environmental pollution using Fuzzy Analytic Hierarchy Process (FAHP): A comprehensive framework for sustainable coastal and oceanic management.

Marine pollution bulletin Jul 1, 2025
Marine pollution poses a significant threat to ecosystems, biodiversity, and human health, necessitating a structured evaluation framework. This study applies the Fuzzy Analytic Hierarchy Process (FAHP) to prioritize five major marine pollution sourc...
Microplastics Environmental Monitoring Ecosystem Oceans and Seas Eutrophication Water Pollutants, Chemical Petroleum Pollution Environmental Pollution Fuzzy Logic Water Pollution
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Deep learning based an effective hybrid model for water quality assessment.

Water environment research : a research publication of the Water Environment Federation Oct 1, 2023
Water, which is very important for life and civilizations on Earth, has been a source of life for all living things. However, freshwater resources gradually decrease due to climate change, pollution, and population growth. Water pollution is the qual...
Deep Learning Humans Fresh Water Water Quality Water Pollution Climate Change
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Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Mathematical biosciences and engineering : MBE Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Algorithms Environmental Monitoring Water Pollutants, Chemical Diffusion Risk Assessment Deep Learning Water Quality Water Pollution Water Supply Markov Chains
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Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2019
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates...
Geologic Sediments Drainage, Sanitary Water Pollution Multivariate Analysis Neural Networks, Computer Models, Statistical Decision Trees Waste Disposal, Fluid
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Turbidity control on dissolved air flotation process using fuzzy logic.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2018
This study intends to explore fuzzy logic control on clean water turbidity process with dissolved air flotation (DAF). Three different strategies were tested to regulate clean water turbidity by manipulating the saturator vessel flow output aiming fo...
Air Fuzzy Logic Water Pollution Water Purification
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Water quality of Danube Delta systems: ecological status and prediction using machine-learning algorithms.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national ...
Invertebrates Environmental Monitoring Water Pollutants, Chemical Water Quality Rivers Animals Artificial Intelligence Water Pollution Algorithms Ecosystem Water
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