Influence of different complexity levels of road traffic models on air quality modelling at street scale

Vicente, Bruno J.; Rafael, Sandra; Rodrigues, Véra; Relvas, Hélder; Vilaça, Mariana; Teixeira, João Paulo; Bandeira, Jorge; Coelho, Margarida C.; Borrego, Carlos

doi:10.1007/s11869-018-0621-1

Cited by 26 publications

(16 citation statements)

References 39 publications

(20 reference statements)

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“…In this way, if a particular pollutant exceeds the target limit, efficient strategies should be adopted to mitigate the air pollution issue and find the pollution sources. Furthermore, air quality prediction models are another way to make a rational decision by political leaders (Vicente et al 2018). The combination of air quality monitoring and modeling is a valid approach for regulatory purposes (Vlachokostas et al 2011).…”

Section: Advisory and Preventionmentioning

confidence: 99%

Mitigation strategies for reducing air pollution

Sofia

Gioiella²,

Lotrecchiano

et al. 2020

Environ Sci Pollut Res

176

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Today, it is increasingly recognized that air pollution hurts human health. Consequently, efficient mitigation strategies need to be implemented for substantial environmental and health co-benefits. A valid approach to reducing the air pollution effects on the environment and human health is proposed. Specific guidelines have been elucidated by differentiating them on the base of the final stakeholders (citizens, enterprises, and public authorities), of the emission sources (transport, household energy, industry, and energy generation sector, agriculture, and shipping area), and of the field of implementation (urban and extra-urban context). This paper can provide useful information for governments for the implementation of a strategic plan focused on emphasizing multi-pollutant emission reductions and overall air pollution-related risk.

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Section: Advisory and Preventionmentioning

confidence: 99%

Mitigation strategies for reducing air pollution

Sofia

Gioiella²,

Lotrecchiano

et al. 2020

Environ Sci Pollut Res

176

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“…For the proposed study, a main avenue called Avenida 25 de Abril of a medium-size city in the Northwest of Portugal, Aveiro, was selected. This avenue is located in the city centre, surrounded by residential buildings and two high schools, contributing to high traffic volume levels at peak hours [3]. Furthermore, this avenue is one of the city's traffic getaways as it connects the city centre to higher flow and interregional roads, and highways.…”

Section: Case Study Descriptionmentioning

confidence: 99%

Assessment of Local Air Quality for Different Penetration Levels of Connected Autonomous Vehicles

Correia

Rafael

Lopes

et al. 2019

WIT Transactions on the Built Environment

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Over the last decade, air quality patterns in Europe have improved due to the implementation of effective policies and actions to reduce atmospheric emissions. Despite of this effort, up to 30% of European citizens living in cities are still exposed to air pollution levels exceeding European air quality standards. Road transport is one of main emission sources, especially of harmful pollutants such as nitrogen oxide compounds (NOx). Technological developments in recent years have allowed for an increasing level of connected autonomous vehicles (CAVs), restricting human driving behaviour, which provides greater control and standardization of the driving style. The connection of these vehicles to several infrastructures and other road transports makes way to new routing methods that may include, for example, real-time traffic information, improve road safety, commute times and generate environmental benefits. In this context, the main goal of this work was to evaluate the impact of the increasing market penetration of CAVs in local road transport emissions and its influence on air quality. A main avenue of the Aveiro urban area (Portugal) was selected as case study and three scenarios were analysed: i) a baseline case, aiming to characterize the impacts of current car fleet on air quality; ii) one scenario with a 30% CAVs market penetration rate; and iii) one scenario with a 30% electric CAVs market penetration rate. The atmospheric emissions were calculated using the vehicle-specific power (VSP) model in an hourly basis for a typical workday. Cars following the parameters of CAVs were changed in order to reduce emissions of a mixed traffic flow composition. To perform the air quality simulations, the Computational Fluid Dynamic (CFD) model VADIS was applied and the NOx concentrations were analysed. Preliminary results indicate that an increased penetration rate of CAVs causes an increase in the NOx emission of the regular and CAVs fleet, and a slight depreciation of the air quality is noticed. However, when considering pure battery CAVs, the NOx concentration at a height of 1.5 m decreases significantly, averaging a 4% decrease for the whole computational domain.

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“…103-105) and [2][3][4][5][6][7][8][9]. The dynamic increase in the number of vehicles travelling on European roads, which is accompanied by a significantly slower development of the transportation network [10], has led to a noticeable drop in the average speed at which vehicles travel. This leads to several problems where the urban environment is concerned, including increased air pollution [11], which may result in more frequent occurrence of respiratory problems in inhabitants [12].…”

Section: Introductionmentioning

confidence: 99%

“…In the recent years, the amount of carbon monoxide emitted from engines has decreased [8], among others by applying three-way catalytic converters [18], though the problem of CO emission from motor vehicles continues to exist. Despite the growing problem of smog, there is a lack of detailed studies on the emission of pollutants generated by motor vehicles on air quality, which attention had been drawn to in the works [10,11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping Carbon Monoxide Pollution of Residential Areas in a Polish City

Kwiecień

Szopińska

2020

Remote Sensing

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Road traffic is among the main sources of atmospheric pollution in cities. Maps of pollutants are based on geostatistical models using a digital model of the city along with traffic parameters allowing for ongoing analyses and prediction of the condition of the environment. The aim of the work was to determine the size of areas at risk of carbon monoxide pollution derived from road traffic along with determining the number of inhabitants exposed to excessive CO levels using geostatistical modeling on the example of the city of Bydgoszcz, a city in the northern part of Poland. The COPERT STREET LEVEL program was used to calculate CO emissions. Next, based on geostatistical modelling, a prediction map of CO pollution (kg/year) was generated, along with determining the level of CO concentration (mg/m3/year). The studies accounted for the variability of road sources as well as the spatial structure of the terrain. The results are presented for the city as well as divided into individual housing estates. The level of total carbon monoxide concentration for the city was 5.18 mg/m3/year, indicating good air quality. Detailed calculation analyses showed that the level of air pollution with CO varies in the individual housing estates, ranging from 0.08 to 35.70 mg/m3/year. Out of the 51 studied residential estates, the limit value was exceeded in 10, with 45% of the population at risk of poor air quality. The obtained results indicate that only detailed monitoring of the level of pollution can provide us with reliable information on air quality. The results also show in what way geostatistical tools can be used to map the spatial variability of air pollution in a city. The obtained spatial details can be used to improve estimated concentration based on interpolation between direct observation and prediction models.

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Influence of different complexity levels of road traffic models on air quality modelling at street scale

Abstract: 10

Cited by 26 publications

References 39 publications

Mitigation strategies for reducing air pollution

Mitigation strategies for reducing air pollution

Assessment of Local Air Quality for Different Penetration Levels of Connected Autonomous Vehicles

Mapping Carbon Monoxide Pollution of Residential Areas in a Polish City

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