Trends in Ambient O3 Concentrations at Twelve Sites in the Czech Republic over the Past Three decades: Close Inspection of Development

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00531765" target="_blank" >RIV/67985807:_____/20:00531765 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/20:10420761 RIV/75010330:_____/20:00013271 RIV/00020699:_____/20:N0000040

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.scitotenv.2020.141038" target="_blank" >http://dx.doi.org/10.1016/j.scitotenv.2020.141038</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.scitotenv.2020.141038" target="_blank" >10.1016/j.scitotenv.2020.141038</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Trends in Ambient O3 Concentrations at Twelve Sites in the Czech Republic over the Past Three decades: Close Inspection of Development

Popis výsledku v původním jazyce

Ambient or ground-level ozone (O3), a key player in atmospheric chemistry, has been studied extensively throughout the world in recent decades due to its harmful effects on human health and the environment. The aim of this study is to examine in detail the time patterns of O3 in the Czech Republic, a Central European country with a long–term history of ambient air pollution. We have examined the interplay between annual trends and within-a-year seasonality in daily O3 concentrations at twelve stations representing different environments, geographical regions and altitudes in the Czech Republic in 1993–2018. We base our analysis on a generalised additive model (GAM) framework as a modern regression approach suitable for addressing non-linear trend shapes in a formalised and unified way. In particular, we use penalised splines. The inconsistent behaviour of the stations prior to 1998, two local maxima around 2003 and 2006 and a steady increase in O3 at all sites from 2014 to the present are the main features of our study. A seasonality O3 pattern with a clear maximum in May–June is similar for all stations. In parallel with the O3 concentration changes over the years, the deformation of seasonality profiles over a long period of time occurs, resulting in a shift of the peak O3 concentrations towards later days in the year. Our statistical modelling offers a detailed view of both long-term trend and seasonality components separately. Additionally, in a model with trend*seasonality interaction, we are able to study the gradual deformation of the seasonality profile over the years. Capsule: Our analysis of daily mean O3 concentrations at twelve Czech sites in 1993–2018 revealed a steady increase in O3 from 2014 and deformation of the seasonality O3 profiles over the year.

Název v anglickém jazyce

Trends in Ambient O3 Concentrations at Twelve Sites in the Czech Republic over the Past Three decades: Close Inspection of Development

Popis výsledku anglicky

Ambient or ground-level ozone (O3), a key player in atmospheric chemistry, has been studied extensively throughout the world in recent decades due to its harmful effects on human health and the environment. The aim of this study is to examine in detail the time patterns of O3 in the Czech Republic, a Central European country with a long–term history of ambient air pollution. We have examined the interplay between annual trends and within-a-year seasonality in daily O3 concentrations at twelve stations representing different environments, geographical regions and altitudes in the Czech Republic in 1993–2018. We base our analysis on a generalised additive model (GAM) framework as a modern regression approach suitable for addressing non-linear trend shapes in a formalised and unified way. In particular, we use penalised splines. The inconsistent behaviour of the stations prior to 1998, two local maxima around 2003 and 2006 and a steady increase in O3 at all sites from 2014 to the present are the main features of our study. A seasonality O3 pattern with a clear maximum in May–June is similar for all stations. In parallel with the O3 concentration changes over the years, the deformation of seasonality profiles over a long period of time occurs, resulting in a shift of the peak O3 concentrations towards later days in the year. Our statistical modelling offers a detailed view of both long-term trend and seasonality components separately. Additionally, in a model with trend*seasonality interaction, we are able to study the gradual deformation of the seasonality profile over the years. Capsule: Our analysis of daily mean O3 concentrations at twelve Czech sites in 1993–2018 revealed a steady increase in O3 from 2014 and deformation of the seasonality O3 profiles over the year.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Science of the Total Environment

ISSN

0048-9697

e-ISSN

—

Svazek periodika

746

Číslo periodika v rámci svazku

1 December

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

141038

Kód UT WoS článku

000579371300033

EID výsledku v databázi Scopus

2-s2.0-85088924122