Reconstruction of Daily Courses of SO4(2-), NO3-, NH4+ Concentrations in Precipitation from Cumulative Samples
Abstract
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 (SO4(2-)), 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-Libus (LIB), Svratouch (SVR), Rudolice v Horach (RUD) and Sous (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 SO4(2-), milder decreases in NO3(-) and steady states in NH4(+) concentrations in precipitation. Statistically significant decreasing time trends in SO4(2-) 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 SO4(2-) at the SVR sites. By applying Bayesian modelling and the Integrated Nested Laplace Approximation approach, we were able to reconstruct the daily patterns of SO4(2-), 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.