Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions

T. Sarica; K. Sartelet; Y. Roustan; Y. Kim; L. Lugon; M. André; B. Marques; B. D’Anna; C. Chaillou; C. Larrieu

doi:10.1007/978-3-031-12786-1_39

Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions

T. Sarica
, K. Sartelet
, Y. Roustan
, Y. Kim
, L. Lugon
, M. André
, B. Marques
, B. D’Anna
, C. Chaillou
, C. Larrieu

Lamsid/EDF/R and D
Université Gustave Eiffel
UMR 7376
ADEME
Aramco Overseas Company

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Higher concentrations of nitrogen dioxide and particles (organics and black carbon) are often observed in streets compared to urban background. Road traffic is generally seen as one of the dominant sources of emissions in streets. The main goal of this work is to evaluate the impact of uncertainties of traffic emissions (speciation of VOC at exhaust and non-exhaust emissions) on pollutant concentrations in streets, and to evaluate the potential impact of asphalt-related emissions, which are usually ignored.

Original language	English
Title of host publication	Air Pollution Modeling and its Application XXVIII
Editors	Clemens Mensink, Oriol Jorba
Publisher	Springer Science and Business Media B.V.
Pages	287-293
Number of pages	7
ISBN (Print)	9783031127854
DOIs	https://doi.org/10.1007/978-3-031-12786-1_39
Publication status	Published - 1 Jan 2022
Externally published	Yes
Event	38th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2021 - Barcelona, Spain Duration: 18 Oct 2021 → 22 Oct 2021

Publication series

Name	Springer Proceedings in Complexity
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Conference

Conference	38th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2021
Country/Territory	Spain
City	Barcelona
Period	18/10/21 → 22/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Emissions
Pollutant concentrations
Sensitivity
Street network
Traffic

Access to Document

10.1007/978-3-031-12786-1_39

Cite this

Sarica, T., Sartelet, K., Roustan, Y., Kim, Y., Lugon, L., André, M., Marques, B., D’Anna, B., Chaillou, C., & Larrieu, C. (2022). Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. In C. Mensink, & O. Jorba (Eds.), Air Pollution Modeling and its Application XXVIII (pp. 287-293). (Springer Proceedings in Complexity). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-031-12786-1_39

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abstract = "Higher concentrations of nitrogen dioxide and particles (organics and black carbon) are often observed in streets compared to urban background. Road traffic is generally seen as one of the dominant sources of emissions in streets. The main goal of this work is to evaluate the impact of uncertainties of traffic emissions (speciation of VOC at exhaust and non-exhaust emissions) on pollutant concentrations in streets, and to evaluate the potential impact of asphalt-related emissions, which are usually ignored.",

keywords = "Emissions, Pollutant concentrations, Sensitivity, Street network, Traffic",

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Sarica, T, Sartelet, K , Roustan, Y , Kim, Y , Lugon, L, André, M, Marques, B, D’Anna, B, Chaillou, C & Larrieu, C 2022, Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. in C Mensink & O Jorba (eds), Air Pollution Modeling and its Application XXVIII. Springer Proceedings in Complexity, Springer Science and Business Media B.V., pp. 287-293, 38th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2021, Barcelona, Spain, 18/10/21. https://doi.org/10.1007/978-3-031-12786-1_39

Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. / Sarica, T.; Sartelet, K.; Roustan, Y. et al.
Air Pollution Modeling and its Application XXVIII. ed. / Clemens Mensink; Oriol Jorba. Springer Science and Business Media B.V., 2022. p. 287-293 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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T2 - 38th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2021

AU - Sarica, T.

AU - Sartelet, K.

AU - Roustan, Y.

AU - Kim, Y.

AU - Lugon, L.

AU - André, M.

AU - Marques, B.

AU - D’Anna, B.

AU - Chaillou, C.

AU - Larrieu, C.

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Higher concentrations of nitrogen dioxide and particles (organics and black carbon) are often observed in streets compared to urban background. Road traffic is generally seen as one of the dominant sources of emissions in streets. The main goal of this work is to evaluate the impact of uncertainties of traffic emissions (speciation of VOC at exhaust and non-exhaust emissions) on pollutant concentrations in streets, and to evaluate the potential impact of asphalt-related emissions, which are usually ignored.

AB - Higher concentrations of nitrogen dioxide and particles (organics and black carbon) are often observed in streets compared to urban background. Road traffic is generally seen as one of the dominant sources of emissions in streets. The main goal of this work is to evaluate the impact of uncertainties of traffic emissions (speciation of VOC at exhaust and non-exhaust emissions) on pollutant concentrations in streets, and to evaluate the potential impact of asphalt-related emissions, which are usually ignored.

KW - Emissions

KW - Pollutant concentrations

KW - Sensitivity

KW - Street network

KW - Traffic

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AN - SCOPUS:85148027831

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T3 - Springer Proceedings in Complexity

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ER -

Sarica T, Sartelet K , Roustan Y , Kim Y , Lugon L, André M et al. Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. In Mensink C, Jorba O, editors, Air Pollution Modeling and its Application XXVIII. Springer Science and Business Media B.V. 2022. p. 287-293. (Springer Proceedings in Complexity). doi: 10.1007/978-3-031-12786-1_39

Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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