Topic
Air pollutant concentrations
About: Air pollutant concentrations is a research topic. Over the lifetime, 1652 publications have been published within this topic receiving 36138 citations.
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TL;DR: In this paper, air pollution levels at the roadside were measured and trallic flows were analyzed in order to determine the dynamic features of air pollutants, and a traflic simulator was used to simulate observed tratTic flows and to evaluate proposed strategies.
Abstract: Air pollution levels at the roadside were measured and trallic flows were analyzed in order to determine the dynamic features of air pollutants. Moreover, a t.raflic simulator was used to simulate observed tratTic flows and to evaluate proposed strategies. It was found that temperature-inversion above the road surface due to vehicle exhaust emissions might suppress the vertical dispersion of air pollutants in the early morning. It was also found that concentrations of air pollutants at the roadside near traffic lights had periodicity corresponding to the traffic signal cycle. But the phase of nitrogen dioxide concentration was different fkom that of suspended particulate matter. It was found that total traffic volume depended mainly on the number of small car, but level of air pollution along the roadside seemed to depend on mainly on the number of heavy-goods vehicles, A vehicle-actuated signal-control system that enables reduetion of the air pollution level at the roadside is proposed.
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30 Mar 2007TL;DR: In this article, the authors examined the impact of policy instruments on controlling air pollution in industrial areas in India from 1991 to 2002 with particular reference to trends in the concentration of SO2 NO2 and SPM.
Abstract: One of the major environmental problems facing India today is air pollution. The Indian government has already taken a number of measures to control air pollution. The purpose of this paper is to examine the impact of policy instruments on controlling air pollution in industrial areas in India from 1991 to 2002 with particular reference to trends in the concentration of SO2 NO2 and SPM. The results indicate that the concentration of SO2 at all monitoring stations in 2002 met Indias National Ambient Air Quality Standards (NAAQS as a result of measures such as the diesel‑sulfur phase‑out program. Also with regard to the concentration of NO2 the fraction of stations reporting levels above the NAAQS has gradually declined since 1997 and the national annual average of NO2 has been within the NAAQS at the majority of monitoring stations. SPM concentrations however have shown no such decline. One reason for this may be that the coal produced in India has a high ash content. This paper implies that because the SPM emission levels depend on the ash content of coal stricter measures for controlling SPM will be needed.
TL;DR: In this article, the authors suggest that exposure to ambient air pollution is associated with adverse health effects, and that air pollution in urban areas is a mixture of air pollution mixture of ozone and nitrogen dioxide.
Abstract: Research suggests that exposure to ambient air pollution is associated with adverse health effects. In urban areas, air pollution is a mixture of
01 Jan 2013
13 Apr 2023
TL;DR: Wang et al. as discussed by the authors applied the land-use regression approach to develop an integrated model framework to estimate annual-average exposures of four major PM10 chemical species as well as four criteria air pollutants of PM10, PM2.5, NO2, and O3 in a typical high-rise and high-density Asian city.
Abstract: Abstract. Exposure models for some criteria air pollutants have been intensively developed in past research; multi-air-pollutant exposure models, especially for particulate chemical species, have been however overlooked in Asia. Lack of an integrated model framework to calculate multi-air-pollutant exposure hinders the combined exposure assessment and the corresponding health assessment. This work applied the land-use regression (LUR) approach to develop an integrated model framework to estimate annual-average exposures of four major PM10 chemical species as well as four criteria air pollutants of PM10, PM2.5, NO2, and O3 in a typical high-rise and high-density Asian city (Hong Kong, China). Our integrated multi-air-pollutant exposure model framework is capable of explaining 91–97 % of the variability of measured air pollutant concentration, with the leave-one-out cross-validation R2 values ranging from 0.73 to 0.93. Using the model framework, the spatial distribution of the concentration of various air pollutants at a spatial resolution of 500 m was generated. The LUR model-derived spatial distribution maps revealed weak to moderate spatial correlations between the PM10 chemical species and the criteria air pollutants, which may help to distinguish their independent chronic health effects. In addition, further improvements in the development of air pollution exposure models are discussed. This study proposes an integrated model framework for estimating multi-air-pollutant exposure in high-density and high-rise urban areas, serving an important tool for combined exposure assessment and the corresponding epidemiological studies.