Monitoring and Health Risk Assessment of Fluoride in Drinking Water Based on Monte Carlo Simulation and Sensitivity Analysis: a Study in Rural Areas of East Azerbaijan Province, Iran

被引:1
|
作者
Khangahi, Behzad Mohammadi [1 ]
Ghayurdoost, Farhad [1 ]
Ghanbari Ghozikali, Mohammad [2 ]
Safari, Gholam Hossein [2 ,3 ]
机构
[1] Tabriz Univ Med Sci, Student Res Comm, Tabriz, Iran
[2] Tabriz Univ Med Sci, Hlth & Environm Res Ctr, Tabriz, Iran
[3] Tabriz Univ Med Sci, Fac Hlth, Dept Environm Hlth Engn, Tabriz, Iran
来源
WATER AIR AND SOIL POLLUTION | 2023年 / 234卷 / 01期
关键词
Fluoride; Risk assessment; Monte Carlo simulations; Sensitivity analysis; East Azerbaijan province; GROUNDWATER QUALITY; EXPOSURE; NORTHWEST; DISTRICT; PRADESH; REGION; CITY;
D O I
10.1007/s11270-022-06044-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The presence of fluoride in drinking water sources at an optimal level is essential for public health and the prevention of tooth decay. The purpose of this study was to survey the fluoride level in drinking water in the rural areas of East Azerbaijan province in the northwest of Iran. Also, non-carcinogenic risk assessment, sensitivity, and uncertainty analysis for four age groups were performed using the Monte Carlo simulations with a probabilistic approach. In this descriptive cross-sectional study, fluoride concentration was measured in 1127 samples collected from rural areas of 20 counties of East Azerbaijan province (northwest of Iran) during warm (spring and summer) and cold (autumn and winter) seasons in 2017-2018. The results indicated that the average value of fluoride in drinking water varies between 0.26 and 0.59 and 0.30 and 0.59 mg/L in cold and warm seasons, respectively. The amount of fluoride in the hot and cold seasons was lower than the national standard of Iran and the guidelines of the World Health Organization in 66.00% and 63.91% of the samples, respectively. Also, the fluoride concentration in drinking water was less than the calculated optimal level using Galagan and Vermillion's equation. The order of health risks in the study groups was infants > children > teenagers > adults. The mean hazard quotient (HQ) for the four age groups, during both cold and warm seasons, was lower than one. Based on the sensitivity test, the amount of fluoride in drinking water was the most efficient agent in estimating the HQ index. According to our study, drinking water does not have a significant non-carcinogenic risk to consumers in rural areas. Therefore, more studies concerning other sources of fluoride intake will be conducted in the future and possible deficiency compensated with corrective actions such as using mouthwash and toothpaste.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Concentration, distribution and probabilistic health risk assessment of exposure to fluoride in drinking water of Hormozgan province, Iran
    Amin Mohammadpour
    Zeynab Tabatabaee
    Reza Dehbandi
    Razieh Khaksefidi
    Mohammad Golaki
    Ehsan Gharechahi
    Mohammad Reza Samaei
    Reza Mohammadpour
    Amin Sheibani
    Ahmad Badeenezhad
    Stochastic Environmental Research and Risk Assessment, 2022, 36 : 1035 - 1047
  • [22] The concentration data of fluoride and health risk assessment in drinking water in the Ardakan city of Yazd province, Iran
    Mirzabeygi , Majid
    Yousefi, Mahmood
    Soleimani, Hamed
    Mohammadi, Ali Akbar
    Mahvi, Amir Hossein
    Abbasnia, Abbas
    DATA IN BRIEF, 2018, 18 : 40 - 46
  • [23] Data on health risk assessment of fluoride in drinking water in the Khash city of Sistan and Baluchistan province, Iran
    Azhdarpoor, Abooalfazl
    Radfard, Majid
    Rahmatinia, Massuomeh
    Hashemi, Hassan
    Hashemzadeh, Bayram
    Nabavi, Samira
    Akbari, Hamed
    Akbari, Hesam
    Adibzadeh, Amir
    DATA IN BRIEF, 2018, 21 : 1508 - 1513
  • [24] Dataset of fluoride concentration and health risk assessment in drinking water in the Saveh City of Markazi Province, Iran
    Tashauoei, Hamid Reza
    Mahdavi, Mokhtar
    Mahvi, Amir Hossein
    Fatehizadeh, Ali
    DATA IN BRIEF, 2023, 50
  • [25] Health risk assessment to fluoride in drinking water of rural residents living in the Poldasht city, Northwest of Iran
    Yousefi, Mahmood
    Ghoochani, Mahboobeh
    Mahvi, Amir Hossein
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2018, 148 : 426 - 430
  • [26] Chemical and radiological human health risk assessment from uranium and fluoride concentrations in tap water samples collected from Shiraz, Iran; Monte-Carlo simulation and sensitivity analysis
    Dehghani, Mansooreh
    Rezaie, Nayereh
    Zarei, Mohammad
    Parseh, Iman
    Soleimani, Hamed
    Keshtkar, Mahsa
    Zarei, Amin Allah
    Khaksefidi, Razyeh
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY, 2024, 104 (06) : 1349 - 1364
  • [27] Seasonal variations of potentially toxic elements (PTEs) in drinking water and health risk assessment via Monte Carlo simulation and Sobol sensitivity analysis in southern Iran's largest city
    Mohammadpour, Amin
    Rajabi, Saeed
    Bell, Michelle
    Baghapour, Mohammad Ali
    Aliyeva, Aynura
    Khaneghah, Amin Mousavi
    APPLIED WATER SCIENCE, 2023, 13 (12)
  • [28] Seasonal variations of potentially toxic elements (PTEs) in drinking water and health risk assessment via Monte Carlo simulation and Sobol sensitivity analysis in southern Iran's largest city
    Amin Mohammadpour
    Saeed Rajabi
    Michelle Bell
    Mohammad Ali Baghapour
    Aynura Aliyeva
    Amin Mousavi Khaneghah
    Applied Water Science, 2023, 13
  • [29] Trace elements human health risk assessment by Monte Carlo probabilistic method in drinking water of Shiraz, Iran
    A. Mohammadpour
    M. Motamed-Jahromi
    H. Soleimani
    R. Dehbandi
    Z. E. Doost
    M. R. Samaei
    Z. Derakhshan
    G. Renella
    A. H. Mahvi
    International Journal of Environmental Science and Technology, 2023, 20 : 3775 - 3788
  • [30] Trace elements human health risk assessment by Monte Carlo probabilistic method in drinking water of Shiraz, Iran
    Mohammadpour, A.
    Motamed-Jahromi, M.
    Soleimani, H.
    Dehbandi, R.
    Doost, Z. E.
    Samaei, M. R.
    Derakhshan, Z.
    Renella, G.
    Mahvi, A. H.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2023, 20 (04) : 3775 - 3788