Pollutant Dispersion Modeling via Mathematical Homogenization and Integral Transform-Based Multilayer Methods

Author(s):  
Camila P. da Costa ◽  
Leslie D. Pérez-Fernández ◽  
Julián Bravo-Castillero
Author(s):  
Petras Vaitiekūnas ◽  
Reda Banaitytė

Pollution is a major problem in all countries, even developed ones. It is the major environmental negative impact of anthropogenic activities affecting ecology. There are two major ways for assessment of negative impact of motor transport flow intensity and pollution level: monitoring the air or modeling pollutant dispersion. It is very important to estimate different unknown air modeling programs. In this work modeling is to be executed by the US EPA (United States Environmental Protection Agency) the so‐called “the best possible existing software for strategic environmental assessment”. That is also recommended by the Ministry of Environment of the Republic of Lithuania. In this work pollution modeling was executed for the northern part of Vilnius (the network of streets Geležinis Vilkas ‐ Ozas ‐ Kalvarijos). For motor vehicle pollution mathematical modeling, it is necessary to evaluate meteorological parameters like temperature, humidity, the wind direction and speed. Modeling software can also estimate relief conditions. Pollution emission measurements were used, and pollution dispersion modeling was performed. The main target was to evaluate pollutant dispersion from motor transport in the analysed area of Vilnius. During investigation maximum hourly, daily and annual concentrations of carbon monoxide, nitrogen oxide, sulphur dioxide, volatile organic compounds and particulate matter were observed.


2019 ◽  
Vol 58 (3) ◽  
pp. 551-568 ◽  
Author(s):  
Michael T. Kiefer ◽  
Joseph J. Charney ◽  
Shiyuan Zhong ◽  
Warren E. Heilman ◽  
Xindi Bian ◽  
...  

AbstractIn this study, the Flexible Particle (FLEXPART)-WRF, a Lagrangian particle dispersion model, is employed to simulate pollutant dispersion in and near the Lehigh Gap, a gap in a prominent ridgeline in eastern Pennsylvania. FLEXPART-WRF is used to evaluate the diagnostic value of the ventilation index (VI), an index that describes the potential for smoke or other pollutants to ventilate away from a source, for indicating dispersion potential in complex terrain. Little is known about the effectiveness of the ventilation index in diagnosing dispersion potential in complex terrain. The modeling approach used in this study is to release a dense cloud of particles across a portion of the model domain and evaluate particle behavior and VI diagnostic value in areas of the domain with differing terrain characteristics. Although both horizontal and vertical dispersion are examined, the study focuses primarily on horizontal dispersion, assessed quantitatively by calculating horizontal residence time (HRT) within a 1-km-radius circle surrounding the particle release point. Analysis of HRT across the domain reveals horizontal dispersion patterns that are influenced by the ridgeline and the Lehigh Gap. Comparison of VI and HRT in different areas of the domain reveals a robust relationship windward of the ridgeline and a weak relationship leeward of the ridgeline and in the vicinity of the Lehigh Gap. The results of this study suggest that VI users should consider whether they are windward or leeward of topographic features, and highlight the need for an alternative metric that better takes into account the influence of the terrain on dispersion.


2007 ◽  
Vol 13 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Gevaldo L. de Almeida ◽  
Luiz C. G. Pimentel ◽  
Renato M. Cotta

2013 ◽  
Vol 28 (4) ◽  
pp. 373-381
Author(s):  
Davidson Martins Moreira ◽  
Antônio Gledson Goulart ◽  
Marcelo Romero de Moraes

An updated version of the semi-analytical model for describing the steady-state concentration in the atmospheric boundary layer is presented here. Two inversion methods of the Laplace transform are tested: the Gaussian Quadrature scheme and the Fixed-Talbot method. The model takes into account settling velocity, removal (wet and dry deposition), and first order chemical reactions. The capability of the model to accurately predict the ground-level concentration is demonstrated qualitative and quantitatively. The results are in good agreement with experimental data.


2019 ◽  
Vol 396 ◽  
pp. 81-90
Author(s):  
Camila Pinto da Costa ◽  
Amanda Mallüe Ferreira ◽  
Leslie D. Pérez-Fernández ◽  
Julián Bravo Castillero

The Advection-Diffusion Multilayer Method (ADMM) emerged to address the solution of advection-diffusion equations with variable coefficients in the context of pollutant dispersion modeling. The ADMM is based on the piecewise-constant approximation of the variable coefficients and the application of the Laplace transform. Applications of ADMM in other areas are potentially relevant for modeling the behavior of heterogeneous media. However, if such heterogeneity is characterized by rapidly oscillating coefficients, the direct application of the ADMM would increase the computational effort needed, as it would require a very fine discretization of the domain. In order to overcome such a drawback, in this contribution, an alternative approach combining the ADMM with the Asymptotic Homogenization Method (AHM) is presented. The ADMM-AHM integrated approach is compared to the direct application of the ADMM in order to assess the accuracy of the estimations of the solution of the original problem, and the computational efficiency.


Author(s):  
J. Moussafir ◽  
C. Olry ◽  
M. Nibart ◽  
A. Albergel ◽  
P. Armand ◽  
...  

The AIRCITY project, partly funded by the European Union, is now successfully achieved. It aimed at developing a 4D innovative numerical simulation tool dedicated to the dispersion of traffic-induced air pollution at local scale on the whole urban area of PARIS. AIRCITY modeling system is based on PMSS (Parallel-Micro-SWIFT-SPRAY) software, which has been developed by ARIA Technologies in close collaboration with CEA and MOKILI. PMSS is a simplified CFD solution which is an alternative to micro-scale simulations usually carried out with full-CFD. Yet, AIRCITY challenge was to model the flow and pollutant dispersion with a 3 m resolution over the whole city of Paris covering a 14 km × 11,5 km domain. Thus, the choice was to run a mass-consistent diagnostic flow model (SWIFT) associated with a Lagrangian Particle Dispersion Model (SPRAY) on a massively parallel architecture. With a 3 m resolution on this huge domain, parallelization was applied to the computation of both the flow (by domain splitting) and the Lagrangian dispersion (management of particles is split over several processors). This MPI parallelization is more complex but gives a large flexibility to optimize the number of CPU, the available RAM and the CPU time. So, it makes possible to process arbitrarily large domains (only limited by the memory of the available nodes). As CEA operates the largest computing center in Europe, with parallel machines ranging from a few hundred to several thousand cores, the modeling system was tested on huge parallel clusters. More usual and affordable computers with a few tens of cores were also utilized during the project by ARIA Technologies and by AIRPARIF, the Regional Air Quality Management Board of Paris region, whose role was also to build the end-users requirements. These computations were performed on a simulation domain restricted to the hypercenter of Paris with dimensions around 2 km × 2 km (at the same resolution of 3 m). The focus was on the improvements needed to adapt simulation codes initially designed for emergency response to urban air quality applications: • Coupling with the MM5 / CHIMERE operational photochemical model at AIRPARIF (as the forecast background), • Turbulence generated by traffic / coupling with traffic model, • Inclusion of chemical reactions / Interaction with background substances (especially NO / NO2). Finally, in-depth validation of the modeling system was undertaken using both the routine air quality measurements in Paris (at four stations influenced by the road traffic) and a field experiment specially arranged for the project, with LIDARs provided by LEOSPHERE Inc. Comparison of PMSS and measurements gave excellent results concerning NO / NO2 and PM10 hourly concentrations for a monthly period of time while the LIDAR campaign results were also promising. In the paper, more details are given regarding the modeling system principles and developments and its validation. Perspectives of the project will also be discussed as AIRCITY system. The TRL must now be elevated from a demonstration to a robust and systematically validated modeling tool that could be used to predict routinely the air quality in Paris and in other large cities around the world.


2019 ◽  
Vol 24 (1) ◽  
pp. 91-103 ◽  
Author(s):  
A. Merah ◽  
A. Noureddine

Abstract Reactive pollutant dispersion in a 3-D urban street canyon is numerically investigated using a computational fluid dynamics (CFD) code (Ansys-CFX), with the k–ε turbulence model and includes transport equations for NO, NO2, and O3 with simple photochemistry. An area emission source of NO and NO2 was considered in the presence of background O3 with an ambient wind perpendicular to the along-canyon direction. The results showed that the magnitude of NOx (NO+NO2) concentrations on the leeward side of the upstream buildings was much larger than the windward side of the downstream building, due to the entrainment and dispersion of traffic emissions by the primary vortex. The reverse is the case for ozone with higher concentrations on the windward side compared to the leeward side. The model has been validated against no-reactive pollutant experimental data of the wind tunnel experiments of Hoydysh and Dabberdt [1].


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