AN ASSESSMENT OF PM1 LEVELS BASED ON INDICATIVE PM1 MEASUREMENTS AND RELATIONSHIPS WITH PM10 AND PM2.5 CONCENTRATIONS, FOR THE ANALYSIS OF HOSPITAL ADMISSIONS AND MORTALITY IN THE MORAVIAN REGION.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71009396%3A_____%2F21%3AN0000026" target="_blank" >RIV/71009396:_____/21:N0000026 - isvavai.cz</a>

Výsledek na webu

<a href="http://medpr.imp.lodz.pl/pdf-133150-66577?filename=An%20assessment%20of%20PM1.pdf" target="_blank" >http://medpr.imp.lodz.pl/pdf-133150-66577?filename=An%20assessment%20of%20PM1.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13075/mp.5893.01078" target="_blank" >10.13075/mp.5893.01078</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AN ASSESSMENT OF PM1 LEVELS BASED ON INDICATIVE PM1 MEASUREMENTS AND RELATIONSHIPS WITH PM10 AND PM2.5 CONCENTRATIONS, FOR THE ANALYSIS OF HOSPITAL ADMISSIONS AND MORTALITY IN THE MORAVIAN REGION.

Popis výsledku v původním jazyce

Background: Particulate matter (PM) air pollution is a serious concern in the city of Ostrava. Thus, in 2018, a project entitled "Validation of the relationships between PM10, PM2.5 and PM1 concentrations, and morbidity and mortality, in the heavily polluted region in the Czech Republic," was launched. The relationship between hospital admissions and mortality in the said region is based primarily on short-term PM10 and PM2.5 concentrations and indicative PM1 meas-ure-ment. The analysis of spatiotemporal variations and the relationship between PM10, PM2.5 and PM1 data from 3 meas-ure-ment sites within the city of Ostrava is presented. Material and Methods: The analysis was based on the daily average PM concentrations for 5 and 6 months at 2 sites, and on the annual average values (2018-2019) at the baseline station. The correlations of and variability between PM fractions, seasonal differences and explanation of the differences found were the objectives of a detailed analysis. Especially, the potential PM1 variability and its causes were analyzed with respect to the location of the site. Results: The study findings confirmed good correlations between the PM fractions. Compared to PM10, PM2.5 concentrations were more predictive for PM1 concentrations. The annual means of PM10, PM2.5 and PM1 reached 37.5, 29.9 and 27.1 mu g/m(3) in 2018, respectively, and 25.8, 19.9 and 17.9 mu g/m(3) in 2019, respectively. The concentration levels in the non-heating season were significantly lower than in the heating season in the 2 years under consideration. The levels of PM10, PM2.5 and PM1 were significantly correlated (the correlation coefficient, r > 0.96). The levels of PM2.5 represented about 0.82-0.86 of PM10, and the levels of PM1 about 0.92-0.93 of PM2.5. These ratios were found to differ in the heating and non-heating seasons, with the PM2.5-PM10 ratio ranging 0.61-0.63 in the non-heating seasons. Conclusions: The correlations found will be used for indicative PM1 meas-ure-ments in other areas of the region. Seasonal variability should be taken into account as well.

Název v anglickém jazyce

AN ASSESSMENT OF PM1 LEVELS BASED ON INDICATIVE PM1 MEASUREMENTS AND RELATIONSHIPS WITH PM10 AND PM2.5 CONCENTRATIONS, FOR THE ANALYSIS OF HOSPITAL ADMISSIONS AND MORTALITY IN THE MORAVIAN REGION.

Popis výsledku anglicky

Background: Particulate matter (PM) air pollution is a serious concern in the city of Ostrava. Thus, in 2018, a project entitled "Validation of the relationships between PM10, PM2.5 and PM1 concentrations, and morbidity and mortality, in the heavily polluted region in the Czech Republic," was launched. The relationship between hospital admissions and mortality in the said region is based primarily on short-term PM10 and PM2.5 concentrations and indicative PM1 meas-ure-ment. The analysis of spatiotemporal variations and the relationship between PM10, PM2.5 and PM1 data from 3 meas-ure-ment sites within the city of Ostrava is presented. Material and Methods: The analysis was based on the daily average PM concentrations for 5 and 6 months at 2 sites, and on the annual average values (2018-2019) at the baseline station. The correlations of and variability between PM fractions, seasonal differences and explanation of the differences found were the objectives of a detailed analysis. Especially, the potential PM1 variability and its causes were analyzed with respect to the location of the site. Results: The study findings confirmed good correlations between the PM fractions. Compared to PM10, PM2.5 concentrations were more predictive for PM1 concentrations. The annual means of PM10, PM2.5 and PM1 reached 37.5, 29.9 and 27.1 mu g/m(3) in 2018, respectively, and 25.8, 19.9 and 17.9 mu g/m(3) in 2019, respectively. The concentration levels in the non-heating season were significantly lower than in the heating season in the 2 years under consideration. The levels of PM10, PM2.5 and PM1 were significantly correlated (the correlation coefficient, r > 0.96). The levels of PM2.5 represented about 0.82-0.86 of PM10, and the levels of PM1 about 0.92-0.93 of PM2.5. These ratios were found to differ in the heating and non-heating seasons, with the PM2.5-PM10 ratio ranging 0.61-0.63 in the non-heating seasons. Conclusions: The correlations found will be used for indicative PM1 meas-ure-ments in other areas of the region. Seasonal variability should be taken into account as well.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30304 - Public and environmental health

Projekt

<a href="/cs/project/TH03030195" target="_blank" >TH03030195: Validace vztahu koncentrací PM10, PM2,5 a PM1 a nemocnosti a úmrtnosti v silně zatížené oblasti ČR</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

MEDYCYNA PRACY

ISSN

0465-5893

e-ISSN

2353-1339

Svazek periodika

72

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

10

Strana od-do

249-258

Kód UT WoS článku

000672186900004

EID výsledku v databázi Scopus

2-s2.0-85111014206