Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source
Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rios Mora, Juan Sebastian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Tsinghua University Press 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Building simulation - Beijing : Tsinghua Press, 2008, 15(2022), 12 vom: 01. Juni, Seite 2031-2049 |
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| Übergeordnetes Werk: |
volume:15 ; year:2022 ; number:12 ; day:01 ; month:06 ; pages:2031-2049 |
| Links: |
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| DOI / URN: |
10.1007/s12273-022-0910-3 |
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| Katalog-ID: |
SPR051050021 |
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| 100 | 1 | |a Rios Mora, Juan Sebastian |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source |
| 264 | 1 | |c 2022 | |
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| 520 | |a Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. | ||
| 650 | 4 | |a indoor air quality |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a lateral source/building distance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a polluted soils |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a semi-empirical models |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a vapor intrusion |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Diallo, Thierno |4 aut | |
| 700 | 1 | |a Collignan, Bernard |4 aut | |
| 700 | 1 | |a Abadie, Marc |4 aut | |
| 700 | 1 | |a Limam, Karim |4 aut | |
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10.1007/s12273-022-0910-3 doi (DE-627)SPR051050021 (SPR)s12273-022-0910-3-e DE-627 ger DE-627 rakwb eng Rios Mora, Juan Sebastian verfasserin aut Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2022 Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 Diallo, Thierno aut Collignan, Bernard aut Abadie, Marc aut Limam, Karim aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 15(2022), 12 vom: 01. Juni, Seite 2031-2049 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:15 year:2022 number:12 day:01 month:06 pages:2031-2049 https://dx.doi.org/10.1007/s12273-022-0910-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 12 01 06 2031-2049 |
| spelling |
10.1007/s12273-022-0910-3 doi (DE-627)SPR051050021 (SPR)s12273-022-0910-3-e DE-627 ger DE-627 rakwb eng Rios Mora, Juan Sebastian verfasserin aut Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2022 Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 Diallo, Thierno aut Collignan, Bernard aut Abadie, Marc aut Limam, Karim aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 15(2022), 12 vom: 01. Juni, Seite 2031-2049 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:15 year:2022 number:12 day:01 month:06 pages:2031-2049 https://dx.doi.org/10.1007/s12273-022-0910-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 12 01 06 2031-2049 |
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10.1007/s12273-022-0910-3 doi (DE-627)SPR051050021 (SPR)s12273-022-0910-3-e DE-627 ger DE-627 rakwb eng Rios Mora, Juan Sebastian verfasserin aut Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2022 Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 Diallo, Thierno aut Collignan, Bernard aut Abadie, Marc aut Limam, Karim aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 15(2022), 12 vom: 01. Juni, Seite 2031-2049 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:15 year:2022 number:12 day:01 month:06 pages:2031-2049 https://dx.doi.org/10.1007/s12273-022-0910-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 12 01 06 2031-2049 |
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10.1007/s12273-022-0910-3 doi (DE-627)SPR051050021 (SPR)s12273-022-0910-3-e DE-627 ger DE-627 rakwb eng Rios Mora, Juan Sebastian verfasserin aut Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2022 Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 Diallo, Thierno aut Collignan, Bernard aut Abadie, Marc aut Limam, Karim aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 15(2022), 12 vom: 01. Juni, Seite 2031-2049 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:15 year:2022 number:12 day:01 month:06 pages:2031-2049 https://dx.doi.org/10.1007/s12273-022-0910-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 12 01 06 2031-2049 |
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10.1007/s12273-022-0910-3 doi (DE-627)SPR051050021 (SPR)s12273-022-0910-3-e DE-627 ger DE-627 rakwb eng Rios Mora, Juan Sebastian verfasserin aut Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2022 Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 Diallo, Thierno aut Collignan, Bernard aut Abadie, Marc aut Limam, Karim aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 15(2022), 12 vom: 01. Juni, Seite 2031-2049 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:15 year:2022 number:12 day:01 month:06 pages:2031-2049 https://dx.doi.org/10.1007/s12273-022-0910-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 15 2022 12 01 06 2031-2049 |
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Rios Mora, Juan Sebastian @@aut@@ Diallo, Thierno @@aut@@ Collignan, Bernard @@aut@@ Abadie, Marc @@aut@@ Limam, Karim @@aut@@ |
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VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. 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Rios Mora, Juan Sebastian |
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Rios Mora, Juan Sebastian misc indoor air quality misc lateral source/building distance misc polluted soils misc semi-empirical models misc vapor intrusion Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source |
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Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source indoor air quality (dpeaa)DE-He213 lateral source/building distance (dpeaa)DE-He213 polluted soils (dpeaa)DE-He213 semi-empirical models (dpeaa)DE-He213 vapor intrusion (dpeaa)DE-He213 |
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Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source |
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vapor intrusion in buildings: development of semi-empirical models including lateral separation between the building and the pollution source |
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Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source |
| abstract |
Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. © Tsinghua University Press 2022 |
| abstractGer |
Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. © Tsinghua University Press 2022 |
| abstract_unstemmed |
Abstract Future constructions in the context of the industrial wastelands reuse may be exposed to Vapor Intrusion (VI). VI can be evaluated by combining in-situ measures and analytical models to evaluate exposure risk in future indoor environments. However, the assumptions in the existing models may reduce their accuracy when they do not meet the characteristics of real situations. Wrong estimations of indoor concentration levels may lead to inappropriate solutions against VI. In this context, new semi-empirical models (SEM) are proposed in order to better specify pollution scenarios and thus increase the accuracy of VI estimations. This development is based on a parametric study (numerical CFD) and a dimensionless analysis combined to existing VI models that consider a continuous source distribution in the soil. These expressions allow to better take into account the source position in the soil (i.e. depth and lateral source/building separation), soil properties (air permeability, diffusion coefficient of the pollutant, …) and building features (building foundation, indoor pressure, air exchange rate, …) in the estimation of indoor concentration levels. The obtained results with the proposed SEM were compared with a numerical CFD model and available experimental data, showing good accuracy in the estimation of VI. Given the advantages of these new models, they can provide better precision in the health risk assessments associated with VI. Furthermore, these expressions can be easily integrated into building ventilation codes allowing to consider air exchange rate and indoor pressure variations over time. © Tsinghua University Press 2022 |
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Vapor intrusion in buildings: Development of semi-empirical models including lateral separation between the building and the pollution source |
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https://dx.doi.org/10.1007/s12273-022-0910-3 |
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Diallo, Thierno Collignan, Bernard Abadie, Marc Limam, Karim |
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10.1007/s12273-022-0910-3 |
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2024-07-03T19:28:11.127Z |
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| score |
7.400943 |