Correlation between traffic and PM10 concentrations in the ambient air of Maribor city
Environmental pollution is increasingly becoming a major global problem. In Europe, about 90% urban population is periodically or continuously exposed to excessive concentrations of particulate matters. Pollutants from traffic are one of the main sources which on the level of PM10 concentrations in...
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| Format: | Software Book Chapter |
| Jezik: | English |
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| Sorodne knjige/članki: | Vsebovano v:
Pomorstvo, promet in logistika |
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| LEADER | 02949naa a2200301 ib4500 | ||
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| 003 | SI-MaCOB | ||
| 005 | 20130617000000.0 | ||
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| 007 | co|||| | ||
| 008 | 130617s2013 xv ||||fq|||||||| ||eng c | ||
| 040 | |a KTFMB |b slv |c SI-MaIIZ |d KTFMB |e ppiak | ||
| 041 | 0 | |a eng |b eng | |
| 080 | |a 502/504 | ||
| 245 | 1 | 0 | |a Correlation between traffic and PM10 concentrations in the ambient air of Maribor city |h [Elektronski vir] / |c Marko Golnar ... [et al.]. |
| 246 | 3 | |a Correlation between traffic and PM10 concentrations in the ambient air of Maribor city | |
| 300 | |a Str. 113-122 : |b Graf. prikazi. | ||
| 500 | |a Soavtorji: Benjamin Lukan, Uroš Lešnik, Branka Trček. | ||
| 504 | |a Bibliografija: str. 121-122. | ||
| 504 | |a Abstract. | ||
| 520 | |a Environmental pollution is increasingly becoming a major global problem. In Europe, about 90% urban population is periodically or continuously exposed to excessive concentrations of particulate matters. Pollutants from traffic are one of the main sources which on the level of PM10 concentrations in cities and adversely effects on human health. This article discusses and analyzes the correlation between data from different automatic traffic counting stations around the city center, which are not necessarily close to measuring sites for the quality of ambient air with PM10 particles in Maribor. Initially, the observation analysis was conducted with on daily data graphs, which means that each day has been represented with hourly derived data from traffic flow and PM10 concentrations. Because there was no clearly observable connection between PM10 concentrations and traffic, we decided to examine the correlation. Data was divided into warm and cold season, because of heating season, which impacts air pollutants. Furthermore we subdivided the data into weekdays, Saturdays and Sundays. Based on fluctuations of correlations between weekdays and weekend days in the warm season, we could assume that traffic impacts the PM10 at the measurement site Center. According to findings in our correlation analysis, there is no such significant correlation which uniquely demonstrates that traffic and air quality are related when longer distances are ubiquitous comparing between ambient air quality measuring sites and traffic counters which are not in direct vicinity of each other. To prove the latter, more coherent and detailed advanced statistical methods will be used in the future . | ||
| 653 | 0 | |a promet |a Maribor |a prašni delci | |
| 653 | 0 | |a traffic |a Maribor |a pollutants |a particulate matter |a correlation | |
| 700 | 1 | 2 | |a Golnar, Marko. |4 aut |
| 700 | 1 | 2 | |a Lukan, Benjamin. |4 aut |
| 700 | 1 | 2 | |a Lešnik, Uroš. |4 aut |
| 700 | 1 | 2 | |a Trček, Branka. |4 aut |
| 773 | 0 | |a Mednarodno posvetovanje o prometni znanosti (16 : 2013 : Portorož) |t Pomorstvo, promet in logistika |d Portorož : Fakulteta za pomorstvo in promet, 2013 |w 267143936 |z 9789616044967 |g Str. 113-122 | |