Pregled bibliografske jedinice broj: 1090486
Temporal classification of the fine particle air pollution by multivariate methods
Temporal classification of the fine particle air pollution by multivariate methods // Knjiga sažetaka 18th Ružička days “TODAY SCIENCE – TOMORROW INDUSTRY” / Jukić, Ante (ur.).
Zagreb, 2020. str. 149-149 (poster, recenziran, sažetak, ostalo)
CROSBI ID: 1090486 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Temporal classification of the fine particle air
pollution by multivariate methods
Autori
Lipoveci, Virgjina ; Čurlin, Mirjana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
Knjiga sažetaka 18th Ružička days “TODAY SCIENCE – TOMORROW INDUSTRY”
/ Jukić, Ante - Zagreb, 2020, 149-149
ISBN
978-953-6894-75-8
Skup
18. Ružičkini dani "Danas znanost - sutra industrija"
Mjesto i datum
Vukovar, Hrvatska, 16.09.2020. - 18.09.2020
Vrsta sudjelovanja
Poster
Vrsta recenzije
Recenziran
Ključne riječi
air pollution, PM 2, 5 ; PM 10 ; chemometric methods
Sažetak
Multivariate analysis of monitoring dataset for air quality in the Kosovo region was performed. The aim of this work is focused on temporal classification based on the datasets of hourly monitoring the fine particulate matter during the year 2017. For handling the dataset, different chemometrics methods were employed, such as basic statistical methods, Pearson`s correlation coefficients, the principal component analysis (PCA) and cluster analysis (CA). The obtained results show and explain the seasonal value movement of particulate matter with an aerodynamic diameter of 2, 5 (PM2.5) and 10 (PM10) as a quality indicator of ambient air. This study allows drawing out new information from the monitoring datasets such as patterns of similarity between temporal behavior of fine particle pollution and time trends. Modernization and accelerated urban development polute the air and consequently have an impact on human health. Therefore, the implementation of these analyses is necessary for making guidelines and recommendation on population movement and daily activities, in the frame of the healthcare protection of the population in this region.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo
POVEZANOST RADA
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Mirjana Čurlin
(autor)