Understanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons

Kumar, Prashant; Zavala‐Reyes, Juan C.; Tomson, Mamatha; Kalaiarasan, Gopinath

doi:10.1016/j.envint.2021.106883

Cited by 39 publications

(19 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Paper [15] describes the results of studies on reducing the concentration of pollutants near a highway in the case of the location of the plant protective barrier. The experimental data reported in the cited work make it possible to determine the effectiveness of this barrier in relation to a decrease in dust concentration at different heights.…”

Section: Highways Are An Intensive Source Of Environmental Pollution Atmospheric Air Is Exposed To the Fastest Anthropogenic Influence Thmentioning

confidence: 99%

See 1 more Smart Citation

Constructing a method for assessing the effectiveness of using protective barriers near highways to decrease the level of air pollution

Biliaiev

Kozachyna

Biliaieva

et al. 2021

EEJET

View full text Add to dashboard Cite

Highways are an intensive source of environmental pollution. Atmospheric air is exposed to the fastest anthropogenic influence. Therefore, a particularly important task is to minimize the level of air pollution near the highway. An effective method for solving this problem is the use of protective barriers of various shapes installed near highways. At the stage of designing these protective structures, an important task arises to assess their effectiveness. Estimation of the effectiveness of protective barriers by the method of the physical experiment takes considerable time to set up and conduct an experiment, as well as analyze the results of physical modeling. This method is not always convenient during design work. An alternative method is the method of mathematical modeling. For the designer, it is very important to have mathematical models that make it possible to quickly obtain a predictive result and take into consideration a set of important factors on which the effectiveness of the protective barrier depends. A method has been devised that makes it possible to assess the effectiveness of using protective barriers to reduce the level of air pollution near the highway. It was found that an increase in barrier height by 80 % leads to a 22 % decrease in the concentration of impurities behind the barrier. It was established that applying a barrier with a height of 1.5 m leads to a 26 % decrease in the concentration of impurities in buildings adjacent to the highway. A method has been devised to assess the effectiveness of using absorbent "TX Active" surfaces on the protective barrier located near the highway. This study's result revealed that the application of a barrier with one "TX Active" surface leads to a decrease in the concentration of NO behind the barrier by an average of 43 %. When using a barrier with two "TX Active" surfaces, a decrease in the NO concentration behind the barrier is 85 % on average

show abstract

Section: Highways Are An Intensive Source Of Environmental Pollution Atmospheric Air Is Exposed To the Fastest Anthropogenic Influence Thmentioning

confidence: 99%

“…In order to solve equations ( 15), ( 16) numerically, a two-step splitting scheme [19] is used. For equation (15), this scheme is:…”

Section: Building a Three-dimensional Cfd Model For Calculating The Effectiveness Of The Use Of A Protective Barrier With An Absorbing Comentioning

confidence: 99%

Constructing a method for assessing the effectiveness of using protective barriers near highways to decrease the level of air pollution

Biliaiev

Kozachyna

Biliaieva

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…Although most computational fluid dynamics and chemistry-transport models have focused until very recently to accurately represent the mass of particles, modelling the number of particles has become increasingly the subject of studies. At the local scale, the number of particles was modelled at the local exhaust outlet (Albriet et al, 2010;Xu et al, 2021), in the plumes of ships (Karl et al, 2020) and at the neighbouring scale (Karl et al, 2016;Kurppa et al, 2020;Ketzel et al, 2021;Kumar et al, 2022), stressing the large influence of nucleation and primary emissions from traffic. At the regional and global scale, chemistry-transport models with model to measurement comparisons of number concentrations were performed in the United States (Jung et al, 2010;Zhang et al, 2010a;Kelly et al, 2011) and more recently in Europe (Kukkonen et al, 2016;Fountoukis et al, 2012;Patoulias et al, 2018;Fanourgakis et al, 2019;Olin et al, 2021;Patoulias and Pandis, 2021;Frohn et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Influence of emission size distribution and nucleation on number concentrations over Greater Paris

Sartelet

Kim

Couvidat

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. With the growing evidence that high particle number concentrations may impact health, modelling their emissions and understanding formation processes is necessary, especially in cities where many people are exposed. As emission inventories of particle numbers and size distribution over cities are usually not available, a methodology is defined to estimate them from PM2.5 emissions, ratios PM1/PM2.5 and PM0.1/PM2.5 by activity sector. In this methodology, a fitting parameter is used to redistribute the number concentrations in the lowest emission diameter range. This parameter is chosen by comparing measured and simulated number concentrations during non-nucleation days. The emission size distribution is then finely discretised by conserving both mass and number in each of the size ranges where emissions are specified. The methodology is applied over Greater Paris during the MEGAPOLI campaign (July 2009). Three-dimensional simulations are performed using the chemistry-transport model Polair3D/Polyphemus coupled to the aerosol module SSH-aerosol to represent the evolution of particles by condensation/evaporation, coagulation and nucleation, with a sectional approach for the size distribution. The model is first compared to measurements during non-nucleation days, and the influence over the month of July 2009 of three different nucleation parameterisations is assessed: a binary (sulfuric acid, water), ternary (sulfuric acid, ammonia, water) and heteromolecular (extremely-low volatile organic compounds (ELVOC) from monoterpenes and sulfuric acid). The modelled number concentrations compare very well to measurements with an average normalised mean error of 42 % for the daily number concentrations of particles larger than 10 nm, and 37 % for the number concentrations of particles larger than 100 nm. The influence of the binary nucleation is low, and the ternary nucleation scheme leads to better simulated number concentrations (in terms of bias and error) at only one site out of three, but it systematically reduces the model to measurement correlation, suggesting that ternary nucleation may not be the dominant process in new particle formation. However, the relative bias and error, as well as the correlation at suburban sites, are systematically improved using the heteromolecular nucleation scheme involving sulfuric acid and ELVOC from monoterpenes. This suggests that heteromolecular nucleation may be important in cities, especially at suburban sites in summer, and that a better characterisation of the emissions of ELVOC precursors from traffic is needed.

show abstract

“…Although most computational fluid dynamics and chemistry transport models have focused until very recently on accurately representing the mass of particles, modelling the number of particles has increasingly become the subject of these studies. At the local scale, the number of particles was modelled at the local exhaust outlet (Albriet et al, 2010;Xu et al, 2021) and in the plumes of ships (Karl et al, 2020), and at the neighbouring scale (Karl et al, 2016;Kurppa et al, 2020;Ketzel et al, 2021;Kumar et al, 2022) the large influence of nucleation and primary emissions from traffic was stressed. At the regional and global scales, chemistry transport models with model-to-measurement comparisons of number concentrations were performed in the United States (Jung et al, 2010;Zhang et al, 2010a;Kelly et al, 2011) and (more recently) in Europe (Kukkonen et al, 2016;Fountoukis et al, 2012;Patoulias et al, 2018;Fanourgakis et al, 2019;Olin et al, 2022;Patoulias and Pandis, 2022;Frohn et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Influence of emission size distribution and nucleation on number concentrations over Greater Paris

et al. 2022

View full text Add to dashboard Cite

Abstract. With the growing evidence that high particle number concentrations may impact health, modelling their emissions and understanding formation processes is necessary, especially in cities where many people are exposed. As emission inventories of particle numbers and size distribution over cities are usually not available, a methodology is defined to estimate them from PM2.5 emissions and ratios of PM1 / PM2.5 and PM0.1 / PM2.5 by activity sector. In this methodology, a fitting parameter αem is used to redistribute the number concentrations in the lowest emission diameter range. This parameter is chosen by comparing measured and simulated number concentrations during non-nucleation days. The emission size distribution is then finely discretised by conserving both mass and number in each of the size ranges where emissions are specified. The methodology is applied over Greater Paris during the MEGAPOLI campaign (July 2009). Three-dimensional simulations are performed using the chemistry transport model Polair3D/Polyphemus coupled to the aerosol module SSH-aerosol to represent the evolution of particles by condensation, evaporation, coagulation, and nucleation, with a sectional approach for the size distribution. The model is first compared to measurements during non-nucleation days, and the influence over the month of July 2009 of three different nucleation parameterisations is assessed, i.e. binary (sulfuric acid, water), ternary (sulfuric acid, ammonia, water), and heteromolecular (extremely low-volatility organic compounds (ELVOCs) from monoterpenes and sulfuric acid). The modelled number concentrations compare very well to measurements, with an average normalised mean error of 42 % for the daily number concentrations of particles larger than 10 nm and 37 % for the number concentrations of particles larger than 100 nm. The influence of the binary nucleation is low, and the ternary nucleation scheme leads to better simulated number concentrations (in terms of bias and error) at only one site out of three, but it systematically reduces the model to measurement correlation, suggesting that ternary nucleation may not be the dominant process in new particle formation. However, the relative bias and error, as well as the correlation at suburban sites, are systematically improved using the heteromolecular nucleation scheme involving sulfuric acid and ELVOCs from monoterpenes. This suggests that heteromolecular nucleation may be important in cities, especially at suburban sites in summer, and that a better characterisation of the emissions of ELVOC precursors from traffic is needed.

show abstract

Understanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons

Cited by 39 publications

References 61 publications

Constructing a method for assessing the effectiveness of using protective barriers near highways to decrease the level of air pollution

Constructing a method for assessing the effectiveness of using protective barriers near highways to decrease the level of air pollution

Influence of emission size distribution and nucleation on number concentrations over Greater Paris

Influence of emission size distribution and nucleation on number concentrations over Greater Paris

Contact Info

Product

Resources

About