Scholarly record
PRESENTATION AND STATISTICAL MODELING OF THE CONCENTRATION PROFILES FOR MAJOR AIR POLLUTANTS MONITORED WITHIN A ROMANIAN CITY
Abstract
The purpose of the paper has been presenting the evolution of concentrations for four main air pollutants in Craiova, so as to show the situation of air quality in this major city in Southern Romania, also finding the best statistical model to fit the recorded data for particulate matter with diameter of less than 10 microns transported by the wind within the urban area. In order to accomplish this purpose, experimental data have been gathered during the entire year 2018 in the above-mentioned town, by two air quality monitoring stations for: nitrogen oxides (NOx), sulfur dioxide (SO2), carbon monoxide (CO) and suspended particulate matter (PM10). It was shown that none of the monitored gaseous air pollutants exhibited an alarming temporal variability, although some values close to the allowed limit or even beyond it were recorded during the monitoring period; however, PM10 daily average in the ambient air has been often higher than the European Union threshold, so that urgent measures for reducing air pollution have to be taken in Craiova, as well as in other developed cities in Romania, for this country to get the exoneration regarding air pollution from the European Union and for the people living here to improve their life quality. The best statistical model to fit the recorded data for PM10 seemed to be the log-normal distribution, which was found appropriate for describing the percentage of appearance for each range of concentration, this three-dimensional diffusion model being shown to be consistent with the experimental data, providing an important and useful tool in describing an important aspect of air quality monitoring.
Publication Impact Profile
- Captures
- Mendeley - Readers: 2
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.