2020
Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic
NEUBAUER, Jiří; Jaroslav MICHÁLEK; Karel ŠILINGER a Petr FIRBASZákladní údaje
Originální název
Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic
Autoři
NEUBAUER, Jiří (garant); Jaroslav MICHÁLEK; Karel ŠILINGER a Petr FIRBAS (203 Česká republika, domácí)
Vydání
Atmosphere, Basel, MDPI, 2020, 2073-4433
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10500 1.5. Earth and related environmental sciences
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.686
Kód RIV
RIV/00216224:14310/20:00117260
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000584043800001
EID Scopus
2-s2.0-85092708092
Klíčová slova anglicky
PM10; meteorological factors; monitoring stations; Passing-Bablok test; regression analysis; statistical modeling; analysis of variance
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 7. 12. 2020 18:53, Mgr. Marie Novosadová Šípková, DiS.
Anotace
V originále
This paper presents a statistical comparison of parallel hourly measurements of particulate matter smaller than 10 mu m (PM10) from two monitoring stations that are located 560 m from each other in the northern part of Brno City. One monitoring station is located in a park, the other in a built-up area. The authors' aim is to describe the influence of a built-up area geometry and nearby traffic intensity on modeling of PM10 pollution levels in the respective part of Brno. Furthermore, the purpose of this study is also to examine the influence of meteorological factors on the pollution levels; above all, to assess the influence of wind speed and direction, temperature change, and humidity change. In order to evaluate the obtained data, the following methods of mathematical statistics were applied: descriptive statistics, regression analysis, analysis of variance, and robust statistical tests. According to the results of the Passing-Bablok test, it can be stated that the parallel measurements of PM10 are significantly different. A regression model for PM10 pollution prediction was created and tested in terms of applicability; subsequently, it was used in order to compare measurements from both stations. It shows that in addition to the monitored meteorological factors, pollution levels are influenced mainly by traffic intensity and the geometry of the monitored built-up area.