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Moss biomonitoring and air pollution modelling on a regional scale: delayed reflection of industrial pollution in moss in a heavily polluted region?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27710%2F20%3A10244960" target="_blank" >RIV/61989100:27710/20:10244960 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27360/20:10244960 RIV/61989100:27640/20:10244960 RIV/61989100:27730/20:10244960

  • Result on the web

    <a href="https://doi.org/10.1007/s11356-020-09466-w" target="_blank" >https://doi.org/10.1007/s11356-020-09466-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11356-020-09466-w" target="_blank" >10.1007/s11356-020-09466-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Moss biomonitoring and air pollution modelling on a regional scale: delayed reflection of industrial pollution in moss in a heavily polluted region?

  • Original language description

    A passive biomonitoring survey using terrestrial mosses was performed in a heavily polluted industrial region on the border between Czechia and Poland in a regular grid of 41 sampling points. The concentrations of 38 elements were determined in the moss samples, using Neutron Activation Analysis (NAA). Simultaneously, air pollution modelling was performed using the Czech reference methodology Symos&apos;97 for the year of the sampling (2015) and 3 years prior (2012) in order to compare the results of both the approaches and evaluate the credibility of the moss biomonitoring method. The NAA results were transformed according to the principles of compositional data analysis and assessed using hierarchical clustering on principal components. The resulting clusters were compared with the results of air pollution modelling using one-way analysis of variance. The association of determined clusters with the pollution from industrial sources was confirmed only for the results of the 2012 modelling. This validates the complementarity of the air pollution modelling and the moss biomonitoring, ascertains the moss biomonitoring as a valid method for long-term pollution assessment and confirms one of the fundamentals of moss biomonitoring, the reflection of the atmospheric conditions prevailing in the period before the sampling.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Environmental Science and Pollution Research

  • ISSN

    0944-1344

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    26

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    32569-32578

  • UT code for WoS article

    000538978000006

  • EID of the result in the Scopus database

    2-s2.0-85086164613