2D Semi-empirical models for predicting the entry of soil gas pollutants into buildings

Diallo, Thierno; Collignan, Bernard; Allard, Francis

doi:10.1016/j.buildenv.2014.11.013

Cited by 24 publications

(17 citation statements)

References 25 publications

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“…The simulation results highlighted that the soil gas entry rate and the building's ventilation rate are positively correlated, and this correlation mutes the influence of stack and wind effects on the subslab attenuation factor. Diallo et al (2015) presented some semiempirical models to quantity the entry of VOCs into buildings as a function of a series of site-specific parameters such as soil diffusion coefficients, diffusion coefficients of the slab, source depth, and indoor ventilation rate. Shen and Suuberg (2016) used a 3D finite element model to examine the influence of indoor air pressure and air exchange rate on indoor air contaminant vapor concentrations showing how these parameters can influence the temporal indoor air contaminant vapor concentration changes.…”

Section: Entry Into the Buildingmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Recent Vapor Intrusion Modeling Work

Verginelli¹,

Yao²

2021

Groundwater Monitoring Rem

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This column reviews the general features of PHT3D Version 2, a reactive multicomponent transport model that couples the geochemical modeling software PHREEQC-2 (Parkhurst and Appelo 1999) with three-dimensional groundwater flow and transport simulators MODFLOW-2000 and MT3DMS (Zheng and Wang 1999). The original version of PHT3D was developed by Henning Prommer and Version 2 by Henning Prommer and Vincent Post (Prommer and Post 2010). More detailed information about PHT3D is available at the website http://www.pht3d.org.The review was conducted separately by two reviewers. This column is presented in two parts.

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Section: Entry Into the Buildingmentioning

confidence: 99%

“…Diallo et al (2015) presented some semiempirical models to quantity the entry of VOCs into buildings as a function of a series of site‐specific parameters such as soil diffusion coefficients, diffusion coefficients of the slab, source depth, and indoor ventilation rate.…”

Section: Entry Into the Buildingmentioning

confidence: 99%

A Review of Recent Vapor Intrusion Modeling Work

Verginelli¹,

Yao²

2021

Groundwater Monitoring Rem

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“…By using the analogy between the heat transfer (Fourier's law) and airflow behaviour (Darcy's law) in porous media, Diallo et al [15] developed analytical airflow models quantifying the airflow from soil to different building substructures. Furthermore, Diallo et al [27] developed semi-empirical models (SEM) to quantify the mass flux of soil gas pollutants entering different building substructures (supported slab, floating slab and crawl space). These models have been adapted to the "experimental box" by considering the particularity of the box geometry as well as the particularity associated with the interface material.…”

Section: Presentation Of the Transfer Modelmentioning

confidence: 99%

“…The SEM developed by Diallo et al [27] considers different building substructures (floating slab, supported slab and crawl space). Then, these models can be easily used to estimate the mass flux of the vapor contaminant entering most encountered building substructures, depending on the depressurisation level of the building.…”

Section: Building Substructure Influencementioning

confidence: 99%

Methodology for the in situ characterisation of soil vapor contaminants and their impact on the indoor air quality of buildings

Collignan

Diallo

Traverse³

et al. 2020

Building and Environment

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This study presents a fast and nonintrusive in situ methodology to characterise the Volatile Organic Compounds (VOCs) fluxes of contaminated sites and to quantify their intrusion into future buildings built on these sites. It could be used to conduct exhaustive ground pre-characterisation and indoor air assessments for future on-site buildings. The methodology involved the use of a specific apparatus called the "experimental box", representing convective and diffusive transfers of soil gas pollutants into buildings, to quantify an equivalent homogeneous concentration of the contaminant in the soil gas. Furthermore, this equivalent homogeneous concentration was used to quantify the indoor air pollutant concentration in a future building using an analytical transfer model associated with a numerical ventilation model. This methodology was applied on an experimental site. A critical analysis highlights its interest as a powerful complementary tool to constitute complementary support for decision-making methods and for human health risk assessment.

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“…The amount of radon available to enter dwellings depends on local geological conditions (Tanner, 1964;Nero and Nazaroff, 1984;Stranden et al, 1985;Peake, 1988;Nazaroff, 1992;Hutri and M€ akel€ ainen, 1993;Albarracin et al, 2002;Sundal et al, 2004aSundal et al, , 2004b, while entry into the buildings depends on their physical characteristics, their styles of use, and meteorological conditions (Hubbard et al, 1988;Nazaroff, 1988;Robinson and Sextro, 1997;Miles, 2001;Font and Baixeras, 2003;Janssen, 2003;Fro nka, 2011;Diallo et al, 2015). Despite complex variability in ground conditions and dwelling properties from one place to another in Norway, there is clear evidence for a correlation between the amount of radon generated in the ground around dwellings and the amount of radon that ends up inside the dwellings to present a risk to human health (Smethurst et al, 2008a).…”

Section: Introductionmentioning

confidence: 99%

The predictive power of airborne gamma ray survey data on the locations of domestic radon hazards in Norway: A strong case for utilizing airborne data in large-scale radon potential mapping

Smethurst

Watson

Baranwal

et al. 2017

Journal of Environmental Radioactivity

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It is estimated that exposure to radon in Norwegian dwellings is responsible for as many as 300 deaths a year due to lung cancer. To address this, the authorities in Norway have developed a national action plan that has the aim of reducing exposure to radon in Norway (Norwegian Ministries, 2010). The plan includes further investigation of the relationship between radon hazard and geological conditions, and development of map-based tools for assessing the large spatial variation in radon hazard levels across Norway. The main focus of the present contribution is to describe how we generate map predictions of radon potential (RP), a measure of radon hazard, from available airborne gamma ray spectrometry (AGRS) surveys in Norway, and what impact these map predictions can be expected to have on radon protection work including land-use planning and targeted surveying. We have compiled 11 contiguous AGRS surveys centred on the most populated part of Norway around Oslo to produce an equivalent uranium map measuring 180 km × 102 km that represents the relative concentrations of radon in the near surface of the ground with a spatial resolution in the 100 s of metres. We find that this map of radon in the ground offers a far more detailed and reliable picture of the distribution of radon in the sub-surface than can be deduced from the available digital geology maps. We tested the performances of digital geology and AGRS data as predictors of RP. We find that digital geology explains approximately 40% of the observed variance in ln RP nationally, while the AGRS data in the Oslo area split into 14 bands explains approximately 70% of the variance in the same parameter. We also notice that there are too few indoor data to characterise all geological settings in Norway which leaves areas in the geology-based RP map in the Oslo area, and elsewhere, unclassified. The AGRS RP map is derived from fewer classes, all characterised by more than 30 indoor measurements, and the corresponding RP map of the Oslo area has no unclassified parts. We used statistics of proportions to add 95% confidence limits to estimates of RP on our predictive maps, offering public health strategists an objective measure of uncertainty in the model. The geological and AGRS RP maps were further compared in terms of their performances in correctly classifying local areas known to be radon affected and less affected. Both maps were accurate in their predictions; however the AGRS map out-performed the geology map in its ability to offer confident predictions of RP for all of the local areas tested. We compared the AGRS RP map with the 2015 distribution of population in the Oslo area to determine the likely impact of radon contamination on the population. 11.4% of the population currently reside in the area classified as radon affected. 34% of ground floor living spaces in this affected area are expected to exceed the maximum limit of 200 Bq/m, while 8.4% of similar spaces outside the affected area exceed this same limit, indicating that the map is very efficient...

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2D Semi-empirical models for predicting the entry of soil gas pollutants into buildings

Cited by 24 publications

References 25 publications

A Review of Recent Vapor Intrusion Modeling Work

A Review of Recent Vapor Intrusion Modeling Work

Methodology for the in situ characterisation of soil vapor contaminants and their impact on the indoor air quality of buildings

The predictive power of airborne gamma ray survey data on the locations of domestic radon hazards in Norway: A strong case for utilizing airborne data in large-scale radon potential mapping

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