Abstract

The accumulated particulate matter concentration at a given vertical column due to traffic sources in urban area has many important consequences. This task, however, imposes a major challenge, since the problem of realistic pollutant dispersion in an urban environment is a very demanding task, both theoretically and computationally. This is mainly due to the highly inhomogeneous three dimensional turbulent flow regime in the urban canopy roughness sublayer, which is far from “local equilibrium” between shear production and dissipation. We present here a mass-consistent urban Lagrangian stochastic model for pollutants dispersion, where the flow field is modeled using a hybrid approach by which we model the surface layer based on the typical turbulent scales, both of the canopy and in the surface layer inertial sub-layer. In particular it relies on representing the canopy aerodynamically as a porous medium by spatial averaging the equations of motion, with the assumption that the canopy is laterally uniform on a scale much larger than the buildings but smaller than the urban block/neighbourhood, i.e., at the sub-urban-block scale. Choosing the spatial representative averaging volume allows the averaged variables to reflect the characteristic vertical heterogeneity of the canopy but to smooth out smaller scale spatial fluctuations caused as air flows in between the buildings. This modeling approach serves as the base for a realistic and efficient methodology for the calculation of the accumulated concentration from multiple traffic sources for any vertical column in the urban area. The existence of multiple traffic sources impose further difficulty since the computational effort required is very demanding for practical uses. Therefore, footprint analysis screening was introduced to identify the relevant part of the urban area which contributes to the chosen column. All the traffic sources in this footprint area where merged into several areal sources, further used for the evaluation of the concentration profile. This methodology was implemented for four cases in the Tel Aviv metropolitan area based on several selected summer climatological scenarios. We present different typical behaviors, demonstrating combination of source structure, urban morphology, flow characteristics, and the resultant dispersion pattern in each case.

Highlights

  • To demonstrate the methodology described above, we chose to study the concentration profile at two points—the “Edgar Tower” (32◦ 30 4300 N × 34◦ 470 1900 E) which is located at the center of the Tel Aviv in the close proximity of main traffic routes and a junction of two main streets in city of Ramat-Gan (32◦ 50 2400 N × 34◦ 490 2000 E), a suburban of Tel-aviv

  • A single Lagrangian stochastic models (LSM) simulation is known to be of relatively low computational effort, the simulation of urban traffic sources implies large number of sources and with it the computational cost rises

  • In this study we present an efficient methodology, using a footprint analysis based on backward Lagrangian stochastic modeling (bLSM), as well as on merging the traffic routs into area source cells

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Summary

Introduction

There are a considerable number of studies that point out the hazard to health following exposure to traffic-related PM10 Such exposure was found to be associated with adverse changes in the regulation of the cardiovascular system among subjects without cardiovascular disease [1], risk of asthma development among children [2]. Several campaigns were held in different urban regions around the world in which particulate matter concentrations were measured in different heights, ranging from ground level up to several hundreds of meters above ground. All these have exhibited variability in the PM10 vertical concentrations [5,6,7]

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