scholarly journals Air Pollution Estimation from Traffic Flows in Tehran Highways

2012 ◽  
Vol 7 (1) ◽  
pp. 01-06 ◽  
Author(s):  
KEIVAN SAEB ◽  
MARYAM MALEKZADEH ◽  
SAEED KARDAR
Keyword(s):  
Air Pollution ◽  
Traffic Flows

Empirical Assessment and Modeling of Traffic-induced Air Pollution

2021 ◽  
pp. 036119812110237
Author(s):  
Zhongyang Lu ◽  
Andy H. F. Chow ◽  
Jacky Leung ◽  
Haydn Kwok ◽  
Sammy Cheung
Keyword(s):  
Air Pollution ◽  
Hong Kong ◽  
Road Network ◽  
Historical Data ◽  
Flow Speed ◽  
Traffic Flows ◽  
Real World Data ◽  
Empirical Assessment ◽  
Air Quality Monitoring Stations ◽  
Transport Management

Congestion and traffic-induced air pollution are associated with population growth and economic development. Compared with congestion, there are relatively few studies on modeling and assessment of traffic-induced pollution. This paper presents an empirical assessment and analysis of traffic-induced air pollution with real-world data collected from the Hong Kong Strategic Road Network. The study employed historical data of traffic flows, speeds, and emission of air pollutants collated by the Hong Kong Transport Department and Environmental Protection Department. This paper first reveals the correlation between traffic flows, speeds, and corresponding induced pollutants including nitrogen oxides (NO2, NOX) and carbon monoxide (CO). To gain further statistical insight, a regression analysis was conducted on the flow–speed–emission relationship at three air quality monitoring stations, which revealed the significance of various factors on this relationship. This study contributes to green transport management and urban sustainability.

Modelling of Air Pollution Caused by Traffic Flows in Manado City, Indonesia

2019 ◽  
Vol 1 (1) ◽  
pp. 84-95
Author(s):  
Theo Kurniawan Sendow
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Primary Data ◽  
Vehicle Speed ◽  
Air Pollution Control ◽  
Traffic Flows ◽  
Building Density ◽  
Independent Variables ◽  
Co Concentration ◽  
High Building

This study was aimed to determine the level of CO concentration due to traffic flows, know the traffic (vehicle) volume, traffic (vehicle) speed and wind speed, find out the relationship between traffic (vehicle) volume, traffic (vehicle) speed, wind speed and CO concentration using a regression model as well as examine the parameters influencing air pollution due to traffic flows. The primary data used in this study were the sample data of CO tested directly in the field and the sampling was done using Ecoline 6000 Gas Analyzer tool. The research sites covered 1) the segment of Sam Ratulangi Street in Manado representing the street locations with many multi-rise buildings and high building density, 2) the segment of Ahmad Yani Street in Manado representing the street locations with many trees, and 3) the segment of Pierre Tendean Street in Manado representing the street locations with open areas (beachsides). In this modeling, the independent variables were the total traffic volume, the average traffic speed as well as the wind speed and direction. The dependent variable was Carbon Monoxide (CO) with increased concentrations. Using the three independent variables, there were total 7 (seven) variable combinations used. Then, the obtained model was validated using the surveyed data. The maximum vehicle volume was 4,281.60 pcu/hour (pcu = passenger car unit) and the maximum vehicle speed was 32 km/hour. Meanwhile, the maximum wind speed generated was 7.5 km/hour and the maximum level of air pollution (CO) was 12.86 ppm (ppm = part per million). In this study, it was obtained the best model for each of the three locations. The results showed that the air pollution (CO) level of street locations with low wind speed, such as Sam Ratulangi street which is a closed area with many multi-rise buildings and high building density, was much higher than that of street locations with many trees growing in the median of streets with a distance of 1 meter from the edge of street pavement and also higher than that of street locations with open areas (beachsides). This is because a higher wind speed can disseminate or divide the concentration level of air pollution (CO) to various places. Air pollution control covers three stages namely the prevention, countermeasure, and recovery of air quality.

Analysis of air pollution in Primorsky Krai in 2019-2020 according to GMAO/NASA satellite monitoring

2021 ◽  
Vol 4 ◽  
pp. 149-162
Author(s):  
D.N. Vasilevsky ◽  
◽  
L.N. Vasilevskaya ◽  
I.A. Lisina ◽  
B.B. Mushta ◽  
...  
Keyword(s):  
Air Pollution ◽  
Chemical Elements ◽  
Atmospheric Pollutants ◽  
Satellite Monitoring ◽  
Traffic Flows ◽  
Primorsky Krai ◽  
Industrial Activity ◽  
Air Masses ◽  
Transboundary Transport ◽  
High Pollution

The results of modeling variations in atmospheric pollutants over Primorsky Krai in 2019 and 2020 based on GMAO/NASA satellite monitoring data are analyzed. It is shown that average annual concentrations of pollutants in 2020 decreased as compared to 2019: by 20–35% for sulfur dioxide; by 5–20% for sulfates; by 8–20% for carbon monoxide; by 25–40 % for particulate matter PM (1, 2.5, and 10 μm). One of the reasons for the air pollution decline in Primorsky Krai in 2020 is the reduction of anthropogenic load in the context of a decrease in industrial activity and traffic flows both in Primorye and in the adjacent areas of China. Episodes of high pollution in 2019 were formed under influence of the transboundary transport of polluted air masses. Keywords: air pollution, aerosol and chemical elements, transboundary transport, satellite monitoring, Primorsky Krai

scholarly journals FEATURES OF AIR POLLUTION BY DISPERSED PARTICLES OF THE URBANIZED TERRITORY OF «INNOKAM»

2021 ◽  
pp. 72-80
Author(s):  
A. A. Filippov ◽  
◽  
I. F. Suleimanov ◽  
S. N. Yakunin ◽  
◽  
...  
Keyword(s):  
Air Pollution ◽  
Mathematical Models ◽  
Urban Environment ◽  
Atmospheric Pollution ◽  
Road Traffic ◽  
Traffic Flows ◽  
Motor Transport ◽  
Industrial Enterprises ◽  
Dispersed Particles ◽  
Urbanized Territory

The combination of factors that determine the level of atmospheric pollution, the priority harmful component of which is dispersed particles, has a random and unique character for the urbanized territory of «InnoKam». Therefore, to study the process of atmospheric pollution of this urbanized territory, an approach was used that takes into account that the content in the air of dispersed particles of motor transport and industrial origin depends on the nature of the processes of upsurge, propagation and deposition, which are determined by the fractional composition of particles, structural and functional parameters of road traffic flows., climatic and urban features of the territory and meteorological conditions. The aim of the study is to reveal the patterns of air pollution in the urbanized territory of «InnoKam» with dispersed particles, which is relevant and necessary for the effective implementation of measures to create a favorable and comfortable urban environment, as well as the attractiveness of the innovation and production center for visiting specialists and investors. Regularities of air pollution in the urbanized territory of «InnoKam» by dispersed particles, which is formed when pollution from road traffic flows are superimposed on the polluting background of industrial enterprises, have been investigated. Motor transport streams are both independent sources of the formation of dispersed particles, and a source of upsurge and spread of dispersed particles over considerable distances beyond the boundaries of highways. To reveal the regularities and obtain the corresponding mathematical models, both instrumental methods based on measuring the content of dispersed particles DCh 10 and DCh 2.5 in the atmosphere of the investigated urbanized territory, and statistical analysis of experimental data were used. Mathematical models have been obtained that, with a high degree of reliability, describe the regularities of air pollution by dispersed particles for the urbanized territory of «InnoKam», which is the scientific value of the results obtained. The practical significance of the results obtained lies in their use for predicting and compiling air pollution maps with dispersed particles in all parts of the urbanized territory of «InnoKam» in order to develop and substantiate measures to create a favorable and comfortable urban environment. The main activities are analyzed and divided into three groups, based on the specifics of the sources of formation of dispersed particles (vehicles, traffic flows, highways). The ranking of measures for the effectiveness of reducing air pollution by dispersed particles is the object of further research.

scholarly journals Загрязнение воздуха твердыми частицами в пяти точках Владивостока (морской и автомобильный транспорт)

2020 ◽  
Vol 44 (3) ◽  
pp. 93-103
Author(s):  
Hong Hai Le
Keyword(s):  
Air Pollution ◽  
Solid Particles ◽  
Traffic Load ◽  
Particulate Emissions ◽  
Traffic Flows ◽  
Atmospheric Air ◽  
Exhaust Gases ◽  
The Impact ◽  
The City ◽  
Port Areas

Проведена оценка влияния автомобильных и судовых транспортных потоков на общую концентрацию взвешенных частиц (РМ) в атмосферном воздухе города Владивостока. В авторском эксперименте делались замеры в пяти контрольных точках, различных по орографическим характеристикам и уровню транспортной нагрузки. Было учтено загрязнение атмосферного воздуха твердыми частицами, которые содержатся в отработанных газах (ОГ) судовых энергетических установок (ССЭУ). Определено, что транспортные потоки – один из основных источников РМ в атмосферном воздухе Владивостока. Дифференцированная оценка уровня загрязнения РМ транспортными потоками позволила определить диапазон выбросов РМ от ОГ ССЭУ в атмосферу (в зависимости от орографических и климатических характеристик): 15–90%. В двух районах города, наиболее близких к портовым зонам, этот показатель оказался выше почти в 2 раза, чем в контрольной точке, наиболее удаленной от портовых зон. Ключевые слова: выбросы твердых частиц, водный транспорт, отработанные газы судовых установок, концентрация частиц в воздухе, воздух портового города, загрязнение воздуха частицами. The impact of automobile and maritime traffic flows on the total concentration of suspended particles (RM) in the atmospheric air of the city of Vladivostok was assessed. In the experiment, measurements were made at five control points with different orographic characteristics and levels of traffic load intensity. Also, air pollution with solid particles emitted by exhaust gases (exhaust) of marine power plants (SSEU) was taken into account. It is determined that traffic flows are one of the main sources of RM in the atmospheric air of the city of Vladivostok. A differentiated assessment of the level of PM pollution by traffic flows showed that depending on the geographical and climatic characteristics, overall contribution of PM from the OG SSEU to the urban atmosphere is in the range of 15–90%. At two spots closest to the port areas, this value was 70% and 80%. This indicator is almost two times higher than at the control point most remote from port areas. Keywords: particulate emissions, water transport, exhaust gases from ship installations, particle concentration in air, port city air, particle air pollution.

scholarly journals Modeling of Air Pollution Caused by Traffic Flows in Manado City, Indonesia

2019 ◽  
Vol 14 (4) ◽  
pp. 1142-1149
Author(s):  
Theo Kurniawan Sendow ◽  
Harnen Sulistio ◽  
Achmad Wicaksono ◽  
Ludfi Djakfar
Keyword(s):  
Air Pollution ◽  
Traffic Flows
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