AIMC Topic: Drinking Water
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Deep learning approach for prediction and classification of potable water.
Analytical sciences : the international journal of the Japan Society for Analytical Chemistry
Apr 8, 2023
Potable water, commonly known as drinking water, refers to water that is safe to drink and does not endanger human health. It must adhere to strict quality standards set by health organizations, be devoid of dangerous pollutants and chemicals, and me...
Multiple Statistical Model Ensemble Predictions of Residual Chlorine in Drinking Water: Applications of Various Deep Learning and Machine Learning Algorithms.
Journal of environmental and public health
Sep 28, 2022
Applicability of statistical models in predicting chlorine decay remains minimally explored. This study predicted residual chlorine using six deep learning and nine machine learning techniques. Suitability of multimodel ensembles (MMEs) including ari...
Predicting flocculant dosage in the drinking water treatment process using Elman neural network.
Environmental science and pollution research international
Aug 31, 2021
Predicting the flocculant dosage in the drinking water treatment process is essential for public health. However, due to the complexity of water quality and flocculation, many difficulties remain. The present study aimed to report on using artificial...
Spectrophotometric Online Detection of Drinking Water Disinfectant: A Machine Learning Approach.
Sensors (Basel, Switzerland)
Nov 21, 2020
The spectra fingerprint of drinking water from a water treatment plant (WTP) is characterised by a number of light-absorbing substances, including organic, nitrate, disinfectant, and particle or turbidity. Detection of disinfectant (monochloramine) c...
Application of a new HMW framework derived ANN model for optimization of aquatic dissolved organic matter removal by coagulation.
Chemosphere
Jul 29, 2020
Removing dissolved organic matter (DOM) with polyaluminium chloride is one of the primary goals of drinking water treatment. In this study, a new HMW framework was proposed, which divided the factors affecting coagulation into three parts consisting ...
Radial basis function artificial neural network able to accurately predict disinfection by-product levels in tap water: Taking haloacetic acids as a case study.
Chemosphere
Jan 22, 2020
Control of risks caused by disinfection by-products (DBPs) requires pre-knowledge of their levels in drinking water. In this study, a radial basis function (RBF) artificial neural network (ANN) was proposed to predict the concentrations of haloacetic...
In vitro selection of DNA aptamers and their integration in a competitive voltammetric biosensor for azlocillin determination in waste water.
Analytica chimica acta
Dec 16, 2019
The uncontrolled usage of veterinary antibiotics has led to their widespread pollution in waterways and milk products. Potential impact of antibiotic residues on the environment and human health such as increased antibiotic resistance of microorganis...
Risk assessment of hybrid rain harvesting system and other small drinking water supply systems by game theory and fuzzy logic modeling.
The Science of the total environment
Nov 2, 2019
The complexity and uncertainties affecting drinking water supply systems and threatening hazards require a comprehensive and effective risk assessment to increase the reliability of drinking water safety, especially for small or household systems. Th...
Machine learning combined with non-targeted LC-HRMS analysis for a risk warning system of chemical hazards in drinking water: A proof of concept.
Talanta
Nov 15, 2018
Guaranteeing clean drinking water to the global population is becoming more challenging, because of the cases of water scarcity across the globe, growing population, and increased chemical footprint of this population. Existing targeted strategies fo...
Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water.
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Apr 22, 2018
Today, due to the increase in the population, the growth of industry and the variety of chemical compounds, the quality of drinking water has decreased. Five important river water quality properties such as: dissolved oxygen (DO), total dissolved sol...
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