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Mohammadpour A, Keshtkar M, Samaei MR, Isazadeh S, Mousavi Khaneghah A. Assessing water quality index and health risk using deterministic and probabilistic approaches in Darab County, Iran; A machine learning for fluoride prediction. CHEMOSPHERE 2024; 352:141284. [PMID: 38336038 DOI: 10.1016/j.chemosphere.2024.141284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 12/16/2023] [Accepted: 01/21/2024] [Indexed: 02/12/2024]
Abstract
The present study employed deterministic and probabilistic approaches to determine the Water Quality Index (WQI) and assess health risks associated with water consumption in Darab County, Iran. Additionally, pollution levels were predicted using a machine-learning algorithm. The study's findings indicate that certain physicochemical parameters of water in some locations exceeded permissible limits (WHO or EPA), with 79.00 % of total hardness (TH) and 21.74 % of Total dissolved solids (TDS) levels exceeding standard values. The WQI for drinking water was determined to be 94.56 % using the deterministic approach, and 98.4 % of samples included the excellent and good categories according to the WQI classification system using the probabilistic approach. Fluoride (F) exhibited the most substantial impact on WQI values. The Artificial Neural Network (ANN) analysis findings suggest that the pH, nitrate (NO3), and TDS are the most significant factors affecting the prediction of F concentration in water. Multivariate analysis demonstrated that anthropogenic, especially agriculture and geogenic factors, contributed to the water quality in this area. The health risk assessment (HRA) using deterministic methods revealed that water consumption posed a relatively high risk in certain areas. However, Monte Carlo simulation demonstrated that the 5th and 95th percentiles of Hazard Index (HI) for children, teenagers, and adults were within limits of (0.14-2.38), (0.09-1.29), and (0.10-1.00) respectively, with a certainty level of 70 %, 91 %, and 95 %. Interactive indices revealed that the intake of IR and NO3-IR in children, BW and F-BW in teenagers, and NO3 and NO3-IR in adults significantly impacted health risks. Based on these findings, augmenting water treatment processes, regulating fluoride concentrations, and advocating for sustainable agricultural practices complemented by continuous monitoring is imperative.
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Affiliation(s)
- Amin Mohammadpour
- Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahsa Keshtkar
- Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Environmental Health Engineering, School of Public Health, Hormozgan University of Medical Sciences, Hormozgan, Iran
| | - Mohammad Reza Samaei
- Department of Environmental Health Engineering, School of Public Health, Shiraz University of Medical Sciences, Shiraz, Iran.
| | | | - Amin Mousavi Khaneghah
- Department of Fruit and Vegetable Product Technology, Prof. Wacław Dąbrowski Institute of Agricultural and Food Biotechnology - State Research Institute, Warsaw, Poland; Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
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Pourshabanian M, Nasseri S, Nodehi RN, Hosseini SS, Mahvi AH. Radon measurement and age-independent effective dose attributed to ingestion of bottled water in Iran: sensitivity analysis. Sci Rep 2023; 13:12717. [PMID: 37543701 PMCID: PMC10404218 DOI: 10.1038/s41598-023-39679-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/28/2023] [Indexed: 08/07/2023] Open
Abstract
A comprehensive study was made to measure the radon concentration in bottled water available in Iran market. The 222Rn concentration in 70 bottled water samples were measured by the sniffing mode technique and RTM 1688-2 (SARAD, Germany) in immediate sampling time and 3 months later for determination of radon decay. The measured radon concentration ranged from 0.003 to 0.618 Bq L-1 in bottled water samples, which were much lower than the recommended value for radon in drinking water by WHO (100 Bq L-1) and United states environmental protection agency (USEPA) (11.1 Bq L-1). The annual effective dose of 222Rn due to ingestion bottled water was also evaluated in this research. The mean annual effective dose due to ingestion of radon in bottled water for adults, children, and infants were estimated to vary from 5.30 × 10-4 mSv-1, 4.90 × 10-4 mSv-1, and 2.15 × 10-4 mSv-1, respectively. Overall, this study indicated that the Iranian people receive no significant radiological risk due to exposure to radon concentration in bottled water brands common consumed in Iranian market.
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Affiliation(s)
- Mina Pourshabanian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Science, Tehran, Iran
| | - Simin Nasseri
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Science, Tehran, Iran
| | - Ramin Nabizadeh Nodehi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Science, Tehran, Iran
| | - Sara Sadat Hosseini
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Mahvi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Science, Tehran, Iran.
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Abstract
PURPOSE OF REVIEW Gastric cancer is one of the leading causes of cancer-related deaths globally. Several modifiable environmental factors have been linked to gastric carcinogenesis but in many cases, evidence is either weak or fragmented. In this review, we interrogate the latest evidence implicating environmental factors in the development of gastric cancer. RECENT FINDINGS We are writing this review at a time when technological advancements are enabling scientists to effectively conduct large epidemiological studies with better tools for exposure estimations. We have highlighted risk factors that do not yet have enough evidence to be included as definite carcinogens in the International Agency for Research on Cancer monographs but have the potential for inclusion in the near future. Considered in our review are the links between gastric cancer and exposure to biomass smoke, particulate matter, occupational hazards and water contamination. SUMMARY This review illustrates the need for vigilance as evidence linking gastric cancer to various environmental factors is mounting. Many of these factors are modifiable, allowing for preventive strategies that could further decrease the global burden of gastric cancer.
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Ediagbonya TF, Omotade ET, Iranse OB. Investigation of metals accumulation in soil dumpsites using proton-induced X-ray emission. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:29-42. [PMID: 33835359 DOI: 10.1007/s10653-021-00901-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 03/19/2021] [Indexed: 06/12/2023]
Abstract
This work was designed to examine the elemental constituents and physiochemical parameters of dumpsites in four local government areas in Ondo State. Elemental composition and physiochemical parameters such as pH, electrical conductivity, temperature, chloride and nitrate were analyzed in soil samples. The data were analyzed using the windows version 24.0 of the IBM Statistical Package for Social Sciences. Odigbo reported the highest mean concentrations in Al, Zn and Co. The highest mean concentrations of metals were Si, K, Cr, S and Y in Okitipupa. Although at Irele P, Fe, Rb, Sr, Bi and Au had the maximum mean concentration, in Control Site, Cl and Mn had an exponential increase in value. The highest value was observed in Ilaje for V, Cu, As, Zr, Sn, Pb. There was significant spatial variation (p < 0.05) in all metals except Sr, Bi and Y, which did not reveal any significant difference in mean concentration. The soil sample values at other sites were greater than the values collected at the control site. This study found that some of the obtained elemental concentrations were higher than the regulatory limits of the Soil-7 International Atomic Energy Agency and the World Health Organization. The study also revealed that continuous deposition of the elements in these dumpsites could lead to a threat to human health and to the environment.
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Affiliation(s)
- T F Ediagbonya
- Department of Chemical Sciences, Olusegun Agagu University of Science and Technology, Okitipupa, Ondo State, Nigeria.
| | - E T Omotade
- Department of Chemical Sciences, Olusegun Agagu University of Science and Technology, Okitipupa, Ondo State, Nigeria
| | - O B Iranse
- Department of Chemical Sciences, Olusegun Agagu University of Science and Technology, Okitipupa, Ondo State, Nigeria
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Zhang Y, Jia R, Wu J, Wang H, Luo Z. Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18147703. [PMID: 34300165 PMCID: PMC8307073 DOI: 10.3390/ijerph18147703] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 01/10/2023]
Abstract
Groundwater is an important source of water in Beijing. Hydrochemical composition and water quality are the key factors to determine the availability of groundwater. Therefore, an improved integrated weight water quality index approach (IWQI) combining the entropy weight method and the stochastic simulation method is proposed. Through systematic investigation of groundwater chemical composition in different periods, using a hydrogeochemical diagram, multivariate statistics and spatial interpolation analysis, the spatial evolution characteristics and genetic mechanism of groundwater chemistry are discussed. The results show that the groundwater in the study area is weakly alkaline and low mineralized water. The south part of the study area showed higher concentrations of total dissolved solids, total hardness and NO3--N in the dry season and wet season, and the main hydrochemical types are HCO3--Ca and HCO3--Ca-Mg. The natural source mechanism of the groundwater chemical components in Chaoyang District includes rock weathering, dissolution and cation exchange, while the human-made sources are mainly residents and industrial activities. Improved IWQI evaluation results indicate that water quality decreases from southwest to northeast along groundwater flow path. The water quality index (WQI) method cannot reflect the trend of groundwater. Sensitivity analysis indicated that the improved IWQI method could describe the overall water quality reliably, accurately and stably.
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Affiliation(s)
- Yongxiang Zhang
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; (Y.Z.); (R.J.); (H.W.); (Z.L.)
| | - Ruitao Jia
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; (Y.Z.); (R.J.); (H.W.); (Z.L.)
| | - Jin Wu
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; (Y.Z.); (R.J.); (H.W.); (Z.L.)
- Correspondence: ; Tel.: +86-151-1793-1639
| | - Huaqing Wang
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; (Y.Z.); (R.J.); (H.W.); (Z.L.)
- LOMC, UMR CNRS 6294, Université du Havre, 76600 Le Havre, France
| | - Zhuoran Luo
- Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; (Y.Z.); (R.J.); (H.W.); (Z.L.)
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