Associations between air pollution in the industrial and suburban parts of Ostrava city and their use

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F17%3AA1801TPG" target="_blank" >RIV/61988987:17110/17:A1801TPG - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007%2Fs10661-017-6094-0" target="_blank" >https://link.springer.com/article/10.1007%2Fs10661-017-6094-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10661-017-6094-0" target="_blank" >10.1007/s10661-017-6094-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Associations between air pollution in the industrial and suburban parts of Ostrava city and their use

Popis výsledku v původním jazyce

Selecting the locations and numbers of air quality monitoring stations is challenging as these are expensive to operate. Representative concentrations of pollutants in certain areas are usually determined by measuring. If there are significant correlations with concentrations of other pollutants or with other monitoring sites, however, concentrations could also be computed, partly reducing the costs. The aim of this study is to provide an overview of such possible relationships using data on concentrations of ambient air pollutants obtained in different areas of a larger city. Presented are associations between industrial (IP) and suburban parts (SP) as well as correlations between concentrations of various pollutants at the same site. Results of air pollutant monitoring come from Ostrava, an industrial city in Central Europe with a population of over 300,000. The study showed that certain pollutants were strongly correlated, especially particulate matter (r = 0.940) and ozone (r = 0.923) between the IP and SP. Statistically significant correlations were also found between different pollutants at the same site. The highest correlations were between PM10 and NO2 (rIP = 0.728; rSP = 0.734), NO2 and benzo(a)pyrene (rIP = 0.787; rSP = 0.697), and NO2 and ozone (rIP = -0.706; rSP = -0.686). This could contribute to more cost-effective solutions for air pollution monitoring in cities and their surroundings by using computational models based on the correlations, optimization of the network of monitoring stations, and the best selection of measuring devices.

Název v anglickém jazyce

Associations between air pollution in the industrial and suburban parts of Ostrava city and their use

Popis výsledku anglicky

Selecting the locations and numbers of air quality monitoring stations is challenging as these are expensive to operate. Representative concentrations of pollutants in certain areas are usually determined by measuring. If there are significant correlations with concentrations of other pollutants or with other monitoring sites, however, concentrations could also be computed, partly reducing the costs. The aim of this study is to provide an overview of such possible relationships using data on concentrations of ambient air pollutants obtained in different areas of a larger city. Presented are associations between industrial (IP) and suburban parts (SP) as well as correlations between concentrations of various pollutants at the same site. Results of air pollutant monitoring come from Ostrava, an industrial city in Central Europe with a population of over 300,000. The study showed that certain pollutants were strongly correlated, especially particulate matter (r = 0.940) and ozone (r = 0.923) between the IP and SP. Statistically significant correlations were also found between different pollutants at the same site. The highest correlations were between PM10 and NO2 (rIP = 0.728; rSP = 0.734), NO2 and benzo(a)pyrene (rIP = 0.787; rSP = 0.697), and NO2 and ozone (rIP = -0.706; rSP = -0.686). This could contribute to more cost-effective solutions for air pollution monitoring in cities and their surroundings by using computational models based on the correlations, optimization of the network of monitoring stations, and the best selection of measuring devices.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30304 - Public and environmental health

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Environmental Monitoiring and Assesment

ISSN

0167-6369

e-ISSN

1573-2959

Svazek periodika

189

Číslo periodika v rámci svazku

381

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

—

Kód UT WoS článku

000405440300020

EID výsledku v databázi Scopus

2-s2.0-85022024228