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Influence of altitude concerning the contamination of humus soils in the German Alps: A data evaluation approach using PyHasse.
Environ. Sci. Pollut. Res. 17, 429-440 (2010)
In an international project named MONARPOP (Monitoring Network in the Alpine Region for Persistent and other Organic Pollutants), selected chemicals in different environmental media were analysed in the years 2004 and 2005. Seventeen pesticides were chosen and analysed in humus and mineral soil in the German Alps. The samples were taken at different altitudes. In such a rather complex environmental datasets, it is often necessary to compare different sets of criteria and their influence on rankings. In the similarity analysis which is part of the theory of the Hasse diagram technique, we intend to calculate the similarity of different rankings. Furthermore, we perform a so-called dominance-dominance/dominance-separability method, followed by a sensitivity analysis, both subroutines in the newly developed PyHasse programme in order to find out if the concentration of the chemicals can be related to the altitudes at which the samples were taken. It can be demonstrated that the altitude has a considerable influence on the concentration of some organic chemicals in humus: The concentrations of some chemicals increase with the altitude. This increase shows certain irregularities for which several explication attempts including possible effects of atmospheric stratification phenomena in valleys have been made. These results should be complemented in further studies with MONARPOP monitoring data from other Alpine countries, e.g. Austria, Switzerland, Italy and Slovenia.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
2.411
0.800
16
24
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Hasse diagram technique; PyHasse; Dominance-dominance/dominance-separability method; Ranking method; Pesticides; Meteorology; Alps
Sprache
Veröffentlichungsjahr
2010
HGF-Berichtsjahr
2010
ISSN (print) / ISBN
0944-1344
e-ISSN
1614-7499
Zeitschrift
Environmental Science and Pollution Research
Quellenangaben
Band: 17,
Heft: 2,
Seiten: 429-440
Verlag
Springer
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Biomathematics and Biometry (IBB)
Institute of Ecological Chemistry (IOEC)
Institute of Ecological Chemistry (IOEC)
PSP-Element(e)
G-503800-002
G-505100-001
G-505100-004
G-505100-001
G-505100-004
Scopus ID
77449139018
PubMed ID
19924459
Erfassungsdatum
2010-03-23