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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 Publisher Pubmed



Shahsavani S1 ; Mohammadpour A2 ; Shooshtarian MR3 ; Soleimani H4 ; Ghalhari MR4 ; Badeenezhad A5 ; Baboli Z5 ; Morovati R2 ; Javanmardi P6
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Authors Affiliations
  1. 1. Research Center for Health Sciences, Department of Environmental Health Engineering, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
  2. 2. Department of Environmental Health Engineering, Shiraz University of Medical Sciences, Shiraz, Iran
  3. 3. Department of Environmental Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran
  4. 4. Department of Environmental Health Engineering, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Environmental Health Engineering, School of Medical Sciences, Behbahan Faculty of Medical Sciences, Behbahan, Iran
  6. 6. Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

Source: Environmental Monitoring and Assessment Published:2023


Abstract

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, merged with GIS, and, secondly, surveying non-carcinogenic risk assessment of fluoride and nitrate using Monte Carlo simulation and sensitivity analysis in Shiraz’s water sources. F−, NO3−, NO2−, EC, TDS, alkalinity, TH, SO42−, Cl−, and Na were applied in the WQI. The NO3− mean concentrations were 23.15 and 27.66 mg/L in the cold and warm seasons, while the mean concentrations of fluoride were 0.50 and 0.46 mg/L during the cold and warm period. The 95th centiles of fluoride’s HQs among infants, children, teenagers, and adults were 0.56, 0.7, 0.49, and 0.4, respectively, in the cold season, which was 0.65 and 0.81, respectively, 0.57 and 0.46 for mentioned groups in the warm season. In comparison, the 95th centiles of nitrate’s HQs among infants, children, teenagers, and adults were 1.27, 1.59, 1.13, and 0.9, respectively. The HQs were more than 1 for infants, children, and teenagers, so nitrate can have various adverse effects, whereas fluoride does not adversely affect all aging groups in both seasons. Also, nitrate concentration can increase the non-carcinogenic risk, which the IR and ED lead to the HQ increasing. In contrast, BW has a negative effect on risk increasing. Overall, source management of these parameters can significantly reduce the concentration of nitrate and their adverse human health effect. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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