Faktory ovlivňující koncentraci dusíku v mechu používaném pro monitoring atmosférické depozice

Abstract

The moss sampling network was designed to identify the factors influencing the N concentrations in the moss and to evaluate the influence of the dominant industrial source in the area with increased N deposition. 50 samples of moss from 14 sampling sites were collected in two seasons (June, October). The average N concertation in moss was determined by elementary analysis to 2,02 wt. % in June and 2,35 wt. % in October. Analysis of variance revealed the significant influence of the seasons on N concentrations in moss. The correlation analysis identified the following factors, which most significantly influenced the N concentration in moss Brachythecium rutabulum in two seasons: the number of permanent residents within a certain distance (rs = -0,55 and rs = -0,48), industrial areas (rs = 0,44 and rs = 0,39) and built-up areas (rs = -0,42 and rs = -0,57). The fourth factor for June was the road transport (rs = -0.41) and for October it was agricultural areas (rs = 0,40). It has been found that based on these determined factors the neural network can be used to predict the N concentration in the moss with the determination coefficient R2 = 0,77 for June and R2 = 0,73 for October. Within the results of this work it can be concluded that the industrial source in the area does not have a decisive influence on the N concentration in moss in surroundings.