An ontology-based study on water quality: probabilistic risk assessment of exposure to fluoride and nitrate in Shiraz drinking water, Iran using fuzzy multi-criteria group decision-making models

World Health Organization reports that 2.2 million people die yearly from insufficient sanitary drinking water. This ontology-based study focused on investigating the chemical quality of drinking water through a new water quality index designed by fuzzy multi-criteria group decision-making methods,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environmental monitoring and assessment 2023-01, Vol.195 (1), p.35-35, Article 35
Hauptverfasser:	Shahsavani, Samaneh, Mohammadpour, Amin, Shooshtarian, Mohammad Reza, Soleimani, Hamed, Ghalhari, Mohammad Rezvani, Badeenezhad, Ahmad, Baboli, Zeynab, Morovati, Roya, Javanmardi, Parviz
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescents Adults Aging Alkalinity Atmospheric Protection/Air Quality Control/Air Pollution Carcinogens Children cold Cold season Decision making Drinking water Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental monitoring Environmental science Fluorides Geographical information systems human health Infants Iran Monitoring/Environmental Analysis Monte Carlo method Monte Carlo simulation Multiple criterion Nitrates Nitrogen dioxide Ontology people Probabilistic risk assessment Quality assessment risk Risk assessment Seasons Sensitivity analysis Statistical methods Surveying warm season Warm seasons Water quality Water sources World Health Organization
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!