Publication detail

Small scale PM Dispersion Modeling in the Inner Part of an Urban Area

POSPÍŠIL, J. JÍCHA, M.

Original Title

Small scale PM Dispersion Modeling in the Inner Part of an Urban Area

English Title

Small scale PM Dispersion Modeling in the Inner Part of an Urban Area

Type

conference paper

Language

en

Original Abstract

In this paper authors present different ways of PM dispersion modeling in an urban area. The CFD code StarCD was used as an appropriate numerical tool. The study focuses on dispersion of particulate matter originating from traffic in the studied street canyon. A method developed for traffic-induced flow (Jicha at al., 2000) was applied for a correct inclusion of the traffic influence. Obtained results show a significant influence of traffic dynamic on the final PM concentration field. Two approaches of PM dispersion were tested and compared. Eulerian Lagrangian approach seems to be more realistic and enables a more accurate description of the interaction between the continuous phase and particles. Passive scalar approach uses more simplifications but calculations are faster in comparison with Eulerian Lagrangian approach. Inverse modeling was used to determine local PM background concentrations. The local background PM concentrations represent approximately 50% of the total day PM10 concentrations and approximately 80% of the total night PM10 concentrations. The influence of car velocity on PM dispersion from local sources was also tested. The influence of large city intersections is important in continuous street canyons without gaps between individual buildings. This influence is generally limited by first interruption of street canyon continuity.

English abstract

In this paper authors present different ways of PM dispersion modeling in an urban area. The CFD code StarCD was used as an appropriate numerical tool. The study focuses on dispersion of particulate matter originating from traffic in the studied street canyon. A method developed for traffic-induced flow (Jicha at al., 2000) was applied for a correct inclusion of the traffic influence. Obtained results show a significant influence of traffic dynamic on the final PM concentration field. Two approaches of PM dispersion were tested and compared. Eulerian Lagrangian approach seems to be more realistic and enables a more accurate description of the interaction between the continuous phase and particles. Passive scalar approach uses more simplifications but calculations are faster in comparison with Eulerian Lagrangian approach. Inverse modeling was used to determine local PM background concentrations. The local background PM concentrations represent approximately 50% of the total day PM10 concentrations and approximately 80% of the total night PM10 concentrations. The influence of car velocity on PM dispersion from local sources was also tested. The influence of large city intersections is important in continuous street canyons without gaps between individual buildings. This influence is generally limited by first interruption of street canyon continuity.

Released

01.12.2005

Publisher

NA

Location

Řecko

ISBN

960-233-166-6

Book

10th International Conference on Harmonisation within Atmospheric Dispersion Modeling for Regulatory Purposes - conference proceeding

Edition

1

Edition number

1

Pages from

437

Pages to

441

Pages count

5

BibTex


@inproceedings{BUT18158,
  author="Jiří {Pospíšil} and Miroslav {Jícha}",
  title="Small scale PM Dispersion Modeling in the Inner Part of an Urban Area",
  annote="In this paper authors present different ways of PM dispersion modeling in an urban area. The CFD code StarCD was used as an appropriate numerical tool. The study focuses on dispersion of particulate matter originating from traffic in the studied street canyon. A method developed for traffic-induced flow (Jicha at al., 2000) was applied for a correct inclusion of the traffic influence. Obtained results show a significant influence of traffic dynamic on the final PM concentration field. Two approaches of PM dispersion were tested and compared. Eulerian Lagrangian approach seems to be more realistic and enables a more accurate description of the interaction between the continuous phase and particles. Passive scalar approach uses more simplifications but calculations are faster in comparison with Eulerian Lagrangian approach. Inverse modeling was used to determine local PM background concentrations. The local background PM concentrations represent approximately 50% of the total day PM10 concentrations and approximately 80% of the total night PM10 concentrations. The influence of car velocity on PM dispersion from local sources was also tested. The influence of large city intersections is important in continuous street canyons without gaps between individual buildings. This influence is generally limited by first interruption of street canyon continuity.
",
  address="NA",
  booktitle="10th International Conference on Harmonisation within Atmospheric Dispersion Modeling for Regulatory Purposes - conference proceeding",
  chapter="18158",
  edition="1",
  institution="NA",
  year="2005",
  month="december",
  pages="437--441",
  publisher="NA",
  type="conference paper"
}