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A two-dimensional analytical model of petroleum vapor intrusion.
Yao, Yijun; Verginelli, Iason; Suuberg, Eric M.
Afiliação
  • Yao Y; Key Lab of Environmental Remediation and Ecosystem Health (Ministry of Education), College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China; Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China; Institute of Environmental Science, Zhejiang University, Hangzhou, China.
  • Verginelli I; Laboratory of Environmental Engineering, Department of Civil Engineering and Computer Science Engineering, University of Rome "Tor Vergata,", Rome, Italy.
  • Suuberg EM; School of Engineering, Brown University, Providence, Rhode Island, USA.
Water Resour Res ; 52(2): 1528-1539, 2016 Feb.
Article em En | MEDLINE | ID: mdl-28255184
ABSTRACT
In this study we present an analytical solution of a two-dimensional petroleum vapor intrusion model, which incorporates a steady-state diffusion-dominated vapor transport in a homogeneous soil and piecewise first-order aerobic biodegradation limited by oxygen availability. This new model can help practitioners to easily generate two-dimensional soil gas concentration profiles for both hydrocarbons and oxygen and estimate hydrocarbon indoor air concentrations as a function of site-specific conditions such as source strength and depth, reaction rate constant, soil characteristics and building features. The soil gas concentration profiles generated by this new model are shown in good agreement with three-dimensional numerical simulations and two-dimensional measured soil gas data from a field study. This implies that for cases involving diffusion dominated soil gas transport, steady state conditions and homogenous source and soil, this analytical model can be used as a fast and easy-to-use risk screening tool by replicating the results of 3-D numerical simulations but with much less computational effort.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article