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Reconstruction of Daily Courses of SO42−, NO3−, NH4+ Concentrations in Precipitation from Cumulative Samples
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SYSNO ASEP 0559279 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Reconstruction of Daily Courses of SO42−, NO3−, NH4+ Concentrations in Precipitation from Cumulative Samples Author(s) Hůnová, I. (CZ)
Brabec, Marek (UIVT-O) RID, SAI, ORCID
Malý, Marek (UIVT-O) RID, SAI
Škáchová, H. (CZ)Number of authors 4 Article number 1049 Source Title Atmosphere. - : MDPI
Roč. 13, č. 7 (2022)Number of pages 16 s. Publication form Online - E Language eng - English Country CH - Switzerland Keywords precipitation chemistry ; Central Europe ; long-term trends ; time series ; data disaggregation ; Bayesian modelling ; INLA OECD category Statistics and probability R&D Projects SS02030031 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Method of publishing Open access Institutional support UIVT-O - RVO:67985807 UT WOS 000837983600001 EID SCOPUS 85133499586 DOI 10.3390/atmos13071049 Annotation It is important to study precipitation chemistry to comprehend both atmospheric and environmental processes. The aim of this study was the reconstruction of daily concentration patterns of major ions in precipitation from samples exposed for longer and differing time periods. We explored sulphates (SO42−), nitrates (NO3−) and ammonium (NH4+) ions measured in precipitation within a nation-wide atmospheric deposition monitoring network in the Czech Republic during 1980–2020. We visualised the long-term trends at selected individual years for four stations, Praha 4-Libuš (LIB), Svratouch (SVR), Rudolice v Horách (RUD) and Souš (SOU), differing in geographical location and reflecting different environments. We found anticipated time trends reflecting the emission patterns of the precursors, i.e., sharp decreases in SO42−, milder decreases in NO3− and steady states in NH4+ concentrations in precipitation. Statistically significant decreasing time trends in SO42− and NO3− concentrations in precipitation between 1990 and 2015 were revealed for the LIB and SVR sites. Spring maxima in April were found for all major ions at the LIB site and for NO3− for the SVR site, for both past and current samples, whereas no distinct seasonal behaviour was recorded for NH4+ at the RUD and SO42− at the SVR sites. By applying Bayesian modelling and the Integrated Nested Laplace Approximation approach, we were able to reconstruct the daily patterns of SO42−, NO3− and NH4+ concentrations in precipitation, which might be further utilised for a wide range of tasks, including comparison of magnitudes and shapes between stations, grouping the decomposed daily data into the ecologically motivated time periods, as well as for logical checks of sampling and measurement reliability. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2023 Electronic address https://dx.doi.org/10.3390/atmos13071049
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