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What Are the Principal Factors Affecting Ambient Ozone Concentrations in Czech Mountain Forests?
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SYSNO ASEP 0505757 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title What Are the Principal Factors Affecting Ambient Ozone Concentrations in Czech Mountain Forests? Author(s) Hůnová, I. (CZ)
Brabec, Marek (UIVT-O) RID, SAI, ORCID
Malý, Marek (UIVT-O) RID, SAIArticle number 31 Source Title Frontiers in Forests and Global Change
Roč. 2, June 2019 (2019)Number of pages 13 s. Language eng - English Country CH - Switzerland Keywords ambient ozone ; generalized additive model ; NOx ; meteorology ; non-linear effects Subject RIV DG - Athmosphere Sciences, Meteorology OECD category Meteorology and atmospheric sciences Method of publishing Open access Institutional support UIVT-O - RVO:67985807 UT WOS 000515290800001 DOI 10.3389/ffgc.2019.00031 Annotation The aim of our study was to identify the factors substantially affecting day-to-day variability in O3 concentrations in Czech mountain forests and to describe their influence in detailed, quantitative way. We examined the effects of meteorology and ambient NOx recorded in regular long-term continuous monitoring at five mountain forest sites representing different regions, covering both polluted and relatively unpolluted areas over the time period of 1992–2018. To investigate the association between ambient O3 concentrations on one hand, and precursor NOx concentrations, and meteorology on the other hand, we used a generalized additive model, GAM, with semiparametric (penalized-spline-based) components to capture properly the possible departures from linearity that is not captured by traditional linear regression approaches. Our results revealed that the O3 concentrations showed significant associations with all selected explanatory variables, i.e., air temperature, global solar radiation (GLRD), relative humidity, and NOx. Apparently, both meteorology and air pollution are highly important for day-to-day O3 concentrations, and this finding is consistent for all five rural sites, representing middle-elevated forested mountain areas in Central Europe. In addition to individual variables, we were able to detect interactions between three pairs of explanatory variables, namely temperature*GLRD, temperature*relative humidity, and GLRD*relative humidity. Moreover, we confirmed non-linear O3 behavior toward all individual explanatory variables. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2020 Electronic address http://hdl.handle.net/11104/0297151
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