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 article, the authors used estimated concentrations by mathematical model of air pollutants to identify associations with respiratory diseases, using the generalized additive model Poisson regression, and lags of zero up to five days.
Abstract: This article used estimated concentrations by mathematical model of air pollutants to identify associations with respiratory diseases. Admission data of residents in Taubate, due to respiratory diseases (ICD-10 J00-J99), were obtained from Datasus during the 01.08.2011 to 31.07.2012. Values of the estimated air pollutant concentrations (CO, PM2.5, O3, NOx) were provided by the mathematical model CATT-BRAMS (CPTEC-INPE). Daily data of meteorological variables (temperature and relative humidity) were obtained in CPTEC-INPE and used to calculate the apparent temperature, used to adjust the multipoluente model. The analysis used the generalized additive model Poisson regression, and lags of zero up to five days. Three hundred and fifty two admissions occurred in the period. Exposures to oxides of nitrogen in the one day lag showed RR=1.046 (95%CI: 1.015-1.079) and at four days lag showed a RR=1.054 (95%CI: 1.054-1.196]. The risk of hospitalization increases up to 17% when the concentrations of oxides of nitrogen increase in the amount of 3µg/m3. The use of estimated data by mathematical model identified an association between exposure to air pollutants and hospitalization due to respiratory diseases, enabling the use of this model in cities where there are no air pollutants stations metering.
1 citations
01 Jan 2005
TL;DR: The DAUMOD model as discussed by the authors estimates background concentrations of pollutants emitted from multiple area sources located in an urban area and uses these estimates to select the minimum number of monitoring sites to control CO, NOx and PM10 concentration levels in the city.
Abstract: This paper presents relevant aspects of the urban atmospheric dispersion model
DAUMOD: 1) a description of the main assumptions considered in its development, 2)
several results of the evaluation of its performance; 3) a discussion on model results
sensitivity to the roughness length value, atmospheric stability and to different
parameterisation of the vertical extension of the plume of contaminants and 4) the application
of DAUMOD model to estimate air pollutant concentrations in Buenos Aires City. DAUMOD
model estimates background concentrations of pollutants emitted from multiple area sources
located in an urban area. Statistical evaluations of its results for five cities show a good
agreement between estimations and observed values. The applications to Buenos Aires City
include the estimation of background concentration distributions of CO and NOx in the city
using the DAUMOD model to area source emissions and the ISCST3 model to point source
emissions. Estimated concentration patterns show a large spatial variability mainly related to
the distribution of emissions. We use model estimations of hourly concentrations to obtain an
evaluation of the possible population exposure to NO2 in the city. Considering model
estimations we present the application of an objective method to select the minimum number
of monitoring sites to control CO, NOx and PM10 concentration levels in the city.
1 citations
TL;DR: A survey of state air pollution control programs can be found in this article, where the authors present a survey of the state's Air Pollution Control Programs (APCP) programs.
Abstract: (1962). Administration of State Air Pollution Control Programs, A Survey. Journal of the Air Pollution Control Association: Vol. 12, No. 6, pp. 282-284.
1 citations
TL;DR: In this paper, a space-time variation rule of road-related atmospheric pollution is analyzed based on the characteristics of air pollution on the road and the basic methods of road related air pollution health risk assessment are determined in the analysis of the relationship of roadrelated air pollution and health.
Abstract: 60%~70% of air pollutants are vehicle emissions. With the soaring increasing of Vehicle Population, automobile exhaust is becoming the leading cause of air pollution. In this paper space-time variation rule of road-related atmospheric pollution is analyzed based on the characteristics of air pollution on the road. And the basic methods of road-related air pollution health risk assessment are determined in the analysis of the relationship of road-related air pollution and health. The economic evaluation of road-related air pollution is also made which would provide the methods for reference in the related research on road air pollution.
1 citations
1 citations