Title Information
Title
A two-dimensional analytical model of vapor intrusion involving vertical heterogeneity
Abstract
We present an analytical chlorinated vapor intrusion (CVI) model that can estimate source-to-indoor air concentration attenuation by simulating two-dimensional (2-D) vapor concentration profile in vertically heterogeneous soils overlying a homogenous vapor source. The analytical solution describing the 2-D soil gas transport was obtained by applying a modified Schwarz-Christoffel mapping method. A partial field validation showed that the developed model provides results (especially in terms of indoor emission rates) in line with the measured data from a case involving a building overlying a layered soil. In further testing, it was found that the new analytical model can very closely replicate the results of three dimensional (3-D) numerical models at steady state in scenarios involving layered soils overlying homogenous groundwater sources. By contrast, by adopting a two-layer approach (capillary fringe and vadose zone) as employed in the EPA implementation of the Johnson and Ettinger model, the spatially and temporally averaged indoor concentrations in the case of groundwater sources can be higher than the ones estimated by the numerical model up to two orders of magnitude. In short, the model proposed in this work can represent an easy-to-use tool that can simulate the subsurface soil gas concentration in layered soils overlying a homogenous vapor source while keeping the simplicity of an analytical approach that requires much less computational effort.
Name: Personal
Name Part
Yao, Yijun
Role
Role Term: Text
creator
Name: Personal
Name Part
Verginelli, Iason
Role
Role Term: Text
creator
Name: Personal
Name Part
Suuberg, Eric M.
Role
Role Term: Text
creator
Origin Information
Date Created (keyDate="yes", encoding="w3cdtf")
2017
Genre
research publication
Type of Resource
multimedia
Subject (Local)
Topic
vapor intrusion
Subject (Local)
Topic
gas transport
Language
Language Term: Text (ISO639-2B)
English
Note: funding
This research is supported by the National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program P42ES013660
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