Fate and contaminant transport model-driven probabilistic human health risk assessment of DNAPL-contaminated site

被引:9
|
作者
Guleria, Abhay [1 ]
Chakma, Sumedha [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Civil Engn, New Delhi 110016, India
关键词
Probabilistic human health risk assessment; DNAPLs; Groundwater; Model-driven risk index; Monte Carlo simulations; UNCERTAINTY ANALYSIS; CHLORINATED ETHENES; NATURAL ATTENUATION; GROUNDWATER; DEGRADATION; WATER; TRICHLOROETHYLENE; METHODOLOGY; PERSISTENCE; FRAMEWORK;
D O I
10.1007/s11356-020-11635-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, fate and contaminant transport model-driven human health risk indexes were calculated due to the presence of dense non-aqueous phase liquids (DNAPLs) in the subsurface environment of air force base area in Florida, USA. Source concentration data of DNAPLs was used for the calculation of transport model-driven health risk indexes for the children and adult sub-population via direct oral ingestion and skin dermal contact exposure scenario using 10,000 Monte Carlo type simulations. The highest variation in the probability distribution of transformed DNAPL compound (cis-dichloroethene (cis-DCE) > vinyl chloride (VC)) was observed as compared to parent DNAPL (tetrachloroethene (PCE)) based on the 50-year simulation timespan. Transformed DNAPL compounds (VC, cis-DCE) posed the highest risk to human health for a longer duration (up to 15 years) in comparison to parent DNAPL (PCE), as non-carcinogenic hazard quotient varied from 400 to 1100. Carcinogenic health risks were observed as 3-order of magnitude higher than safe limit (HQ(Safe) < 10(-6)) from 2nd to 5th year timespan and fall in the high-risk zone, indicating the need for a remediation plan for a contaminated site. Variance attribution analysis revealed that concentration, body weight, and exposure duration (contribution percentage - 70 to 95%) were the most important parameters, highlighting the impact of dispersivity and exposure model in the estimation of risk indexes. This approach can help decision-makers when a contaminated site with partial data on hydrogeological properties and with higher uncertainty in model parameters is to be assessed for the formulation of remediation measures.
引用
收藏
页码:14358 / 14371
页数:14
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