AIMC Topic: Drinking Water
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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...
Evaluation of a novel automated water analyzer for continuous monitoring of toxicity and chemical parameters in municipal water supply.
Ecotoxicology and environmental safety
Apr 6, 2018
A novel tool, the DAMTA analyzer (Device for Analytical Monitoring and Toxicity Assessment), designed for fully automated toxicity measurements based on luminescent bacteria as well as for concomitant determination of chemical parameters, was develop...
Neural networks for dimensionality reduction of fluorescence spectra and prediction of drinking water disinfection by-products.
Water research
Feb 21, 2018
The use of fluorescence data coupled with neural networks for improved predictability of drinking water disinfection by-products (DBPs) was investigated. Novel application of autoencoders to process high-dimensional fluorescence data was related to c...
Metal-organic framework UiO-66 for rapid dispersive solid phase extraction of neonicotinoid insecticides in water samples.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Dec 21, 2017
UIO-66 crystals were explored for the first time to adsorb neonicotinoid insecticides in environmental water samples. HPLC coupled with tandem MS was used for quantification and determination of neonicotinoid insecticides. UiO-66 crystals was success...
A micro-plate colorimetric assay for rapid determination of trace zinc in animal feed, pet food and drinking water by ion masking and statistical partitioning correction.
Food chemistry
Oct 14, 2017
A new micro-plate colorimetric assay was developed for rapid determination of zinc in animal feed, pet food and drinking water. Zinc ion was extracted from sample by trichloroacetic acid and then reacted with 2-(5-Bromo-2-pyridylazo)-5-[N-propyl-N-(3...
Difficulties in thickened water ingestion in healthy subjects.
Clinical nutrition ESPEN
Aug 12, 2017
BACKGROUND: For some patients with dysphagia who have airway aspiration, it is not possible to drink water as a thin liquid, as they need their water to be thickened.
Experimental comparison of point-of-use filters for drinking water ultrafiltration.
The Journal of hospital infection
Dec 1, 2016
BACKGROUND: Waterborne pathogens such as Pseudomonas spp. and Legionella spp. may persist in hospital water networks despite chemical disinfection. Point-of-use filtration represents a physical control measure that can be applied in high-risk areas t...
Fuzzy logic-based assessment for mapping potential infiltration areas in low-gradient watersheds.
Journal of environmental management
Apr 1, 2016
This paper gives an account of the design a logic-based approach for identifying potential infiltration areas in low-gradient watersheds based on remote sensing data. This methodological framework is applied in a sector of the Pampa Plain, Argentina,...
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