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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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Journal ArticleDOI
O. Preining1
TL;DR: In this paper, the authors calculated the total emissions of air pollutants in Austria in 1974 and compared these emissions to the U.S. emissions in 1968 and assumed comparable situations and a linear cost-emission relation.
Abstract: Using recently published emission factors and the official Austrian consumption data the total emissions of air pollutants in Austria in 1974 are calculated. Comparing these emissions to the U.S. emissions in 1968 and assuming comparable situations and a linear cost-emission relation, Austrian cost of air pollution damage figures are derived from the estimated U.S. figures.

2 citations

Book ChapterDOI
01 Jan 1971
TL;DR: Many techniques are available for analyzing the emissions from industrial and transportation sources Most of these techniques involve instrumental analysis, as opposed to the traditional “wet chemical” methods in this paper.
Abstract: Many techniques are available for analyzing the emissions from industrial and transportation sources Most of these techniques involve instrumental analysis, as opposed to the traditional “wet chemical” methods In order to recognize the advantages and limitations of a given analytical method it is important to understand the principles of the method The first part of these notes discusses chemical instrumentation in general; the second part then describes applications of these techniques to analysis of various emissions

2 citations

Proceedings ArticleDOI
24 Jun 2011
TL;DR: A correlation analysis between air pollutant concentrations in 2004 and data on respiratory disease inpatients from No.1 People's Hospital, City A, China shows that bronchitis inpatient data clearly correlates with PM10 and NO2 concentrations; asthma in patient data have positive linear relations withPM10 concentrations; and pneumonia inpatientData have a positive linear relation with SO2 concentrations.
Abstract: Air pollution is one of the major factors affecting human health. Examining the relationship between air pollution and respiratory disease is a major focus in environmental science. In this paper, we conduct a correlation analysis between air pollutant concentrations in 2004 (specifically PM10, NO2 and SO2) and 2004 data on respiratory disease inpatients (including bronchitis, asthma and pneumonia) from No.1 People's Hospital, City A. The results show that bronchitis inpatient data clearly correlates with PM10 and NO2 concentrations; asthma inpatient data have positive linear relations with PM10 concentrations; and pneumonia inpatient data have a positive linear relation with SO2 concentrations. The results are comparable to other research in China.

2 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of agriculture-related local regulations in California on air quality, as measured by the number of exceedances of the CO and NO2 standards, by exploiting the natural variation in policy among the different air districts in California.
Abstract: Air pollution is a critical environmental issue for California, which has some of the nation’s most polluted air basins and also the nation’s most stringent set of state and local air quality standards. This paper reviews my previous work in Lin (2011), in which I examine the effects of agriculture-related local regulations in California on air quality, as measured by the number of exceedances of the CO and NO2 standards, by exploiting the natural variation in policy among the different air districts in California. Agricultural burning policies and penalty fees reduce the pollution from CO. Other policies such as the prohibition on visible emission, fugitive dust, particulate matter, nitrogen and the reduction of animal matter are correlated with higher levels of CO. Regulations on orchard and citrus heaters have no significant effect on the number of exceedances of the CO and NO2 standards.

2 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202316
20229
2021100
202084
201972
201852