Applicability of Soil Concentration for VOC-Contaminated Site Assessments Explored Using Field Data from the Beijing-Tianjin-Hebei Urban Agglomeration.


Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
15 01 2019
Historique:
pubmed: 12 12 2018
medline: 19 9 2019
entrez: 12 12 2018
Statut: ppublish

Résumé

A total of 128 available soil-soil gas data pairs of benzene were collected from 5 contaminated sites in the Beijing-Tianjin-Hebei urban agglomeration. Soil gas concentrations predicted by the linear model and the dual equilibrium desorption (DED) model were compared with measured values. Although the immersion of soil samples in methanol during sampling and preservation was specified to minimize volatilization losses and biodegradation, the study still found that many points with high soil gas concentrations correspond to unreasonably low soil concentrations. Further analysis revealed that the soil matrices of these points are basically composed of sandy and silty soils, given that soil gas collected may migrate from more contaminated soils nearby due to the large porosity and soil benzene escapes more easily during sampling in the coarser soil particles. Therefore, for sandy and silty soil, collecting soil gas would be more reasonable for screening the vapor intrusion (VI) pathway. For clay, the combination of bulk soil concentration and the DED model will be more convenient. Defaulting f as 1, as recommended by previous studies in the DED, would not be suitable for all cases, and this value needs to be further explored to revise the DED model for future applications.

Identifiants

pubmed: 30532954
doi: 10.1021/acs.est.8b03241
doi:

Substances chimiques

Soil 0
Soil Pollutants 0
Volatile Organic Compounds 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

789-797

Auteurs

Ruihuan Zhang (R)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Lin Jiang (L)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Maosheng Zhong (M)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Dan Han (D)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Rui Zheng (R)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Quankai Fu (Q)

National Engineering Research Centre of Urban Environmental Pollution Control, Beijing Key Laboratory for Risk Modeling and Remediation of Contaminated Sites , Beijing Municipal Research Institute of Environmental Protection , Beijing 100037 , China.

Youya Zhou (Y)

State Key Laboratory of Environmental Criteria and Risk Assessment , China Research Academy of Environmental Sciences , Beijing 100012 , China.

Jie Ma (J)

State Key Laboratory of Heavy Oil Processing, Beijing Key Lab of Oil & Gas Pollution Control , China University of Petroleum- Beijing , Beijing 102249 , China.

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Classifications MeSH