Sökning: onr:"swepub:oai:DiVA.org:kth-290621" >
A probabilistic-det...
A probabilistic-deterministic analysis of human health risk related to the exposure to potentially toxic elements in groundwater of Urmia coastal aquifer (NW of Iran) with a special focus on arsenic speciation and temporal variation
-
- Sohrabi, N. (författare)
- Shahid Chamran University of Ahvaz,Yazd Regional Water Authority
-
- Kalantari, N. (författare)
- Shahid Chamran University of Ahvaz
-
- Amiri, V. (författare)
- Yazd University
-
visa fler...
-
- Saha, N. (författare)
- University of Queensland
-
- Berndtsson, Ronny (författare)
- Lund University,Lunds universitet,Avdelningen för Teknisk vattenresurslära,Institutionen för bygg- och miljöteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Centrum för Mellanösternstudier (CMES),Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,LTH profilområde: Vatten,LTH profilområden,Division of Water Resources Engineering,Department of Building and Environmental Technology,Departments at LTH,Faculty of Engineering, LTH,Centre for Advanced Middle Eastern Studies (CMES),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences,LTH Profile Area: Water,LTH Profile areas,Faculty of Engineering, LTH
-
- Bhattacharya, Prosun, 1962- (författare)
- KTH Royal Institute of Technology,KTH,Miljögeokemi och ekoteknik,Vatten- och miljöteknik,KWR Water Research Institute
-
- Ahmad, A. (författare)
- KWR Water Research Institute,Wageningen University,SIBELCO Ankerpoort NV, Netherlands
-
visa färre...
-
(creator_code:org_t)
- 2020-11-16
- 2020
- Engelska.
-
Ingår i: Stochastic environmental research and risk assessment (Print). - : Springer Science and Business Media Deutschland GmbH. - 1436-3240 .- 1436-3259.
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
https://lup.lub.lu.s...
-
visa färre...
Abstract
Ämnesord
Stäng
- The human exposure to groundwater contamination with toxic elements is a worldwide concern. In this study, multivariate statistics coupled with probabilistic and deterministic risk estimation approaches were applied to 173 groundwater samples of Urmia aquifer (UA) to evaluate human health risks in relation to the consumption of groundwater contaminated with toxic elements. The concentrations of aluminum (Al), barium (Ba), cadmium (Cd), copper (Cu), manganese (Mn), nickel (Ni), and zinc (Zn) were below their corresponding maximum permissible levels as advised by the WHO, USEPA, and Iranian guidelines. However, arsenic (As), lead (Pb), iron (Fe), and selenium (Se) were elevated at some locations. Monte Carlo simulation-based probabilistic risk estimation suggested ingestion as the dominant pathway for water-hosted element exposure. Mean values of hazard index estimated for As exposure from combined ingestion and dermal contact pathways exceeded the safe level of 1.0 for both adults and children, indicated potential non-carcinogenic health risks. The total cancer risk induced by groundwater As exceeded the acceptable limit of 1 × 10–4. Sensitivity analysis highlighted exposure duration, element concentration in water, and average time as the most significant variables causing the probable health risks. Speciation modeling using PHREEQC highlighted the occurrence of As(V) and As(III) in groundwater of the UA. Reductive dissolution of Fe(III) (oxyhydr)oxides and clay minerals was identified as the main controlling mechanism of As mobilization. This communication emphasizes the need for appropriate approaches in mitigating toxic element contamination of water resources in coastal parts of the UA to safeguard public health from carcinogenic and non-carcinogenic risks.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)
Nyckelord
- Arsenic speciation
- Carcinogenic health risk
- Deterministic and probabilistic estimation
- Groundwater pollution
- Monte Carlo simulation
- Aquifers
- Groundwater resources
- Health
- Health risks
- Iron compounds
- Monte Carlo methods
- Multivariant analysis
- Public risks
- Risk assessment
- Risk perception
- Sensitivity analysis
- Controlling mechanism
- Deterministic analysis
- Element concentrations
- Groundwater contamination
- Multivariate statistics
- Potentially toxic elements
- Reductive dissolution
- Significant variables
- Arsenic speciation
- Carcinogenic health risk
- Deterministic and probabilistic estimation
- Groundwater pollution
- Monte Carlo simulation
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas