Librarian View

LEADER 03855nam a22005535i 4500
001 16647567
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008 230428s2023 sz | o |||| 0|eng d
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|a 9783031256363
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|a 10.1007/978-3-031-25636-3 |2 doi
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|a (DE-He213)978-3-031-25636-3
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|a QE514-516.5
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|a Nickel, Stefan. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut
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|a Correlation of Modelled Atmospheric Deposition of Cadmium, Mercury and Lead with the Measured Enrichment of these Elements in Moss |h [electronic resource] / |c by Stefan Nickel, Winfried Schröder, Ilia Ilyin, Oleg Travnikov.
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|a 1st ed. 2023.
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|a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023.
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|a 1 online resource (XVI, 82 p.) 35 illus., 34 illus. in color.
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|a text |b txt |2 rdacontent
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|a computer |b c |2 rdamedia
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|a online resource |b cr |2 rdacarrier
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|a text file |b PDF |2 rda
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|a Foreword -- Chapter 1 Background and aims -- Chapter 2 Materials and Methods -- Chapter 3 Results -- Chapter 4 Conclusions.
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|a Access restricted by licensing agreement.
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|a The book provides a unique analysis of current air pollution in Germany by correlating results from chemical transport modelling and accumulation monitoring by moss. Results of most recent modelling of atmospheric concentration and deposition of the metal elements Cd, Hg and Pb are compared with the results of technical measurements and bioindication with mosses. These modelling results with status 2020 have a higher spatial resolution of 0.1° x 0.1° than the modelling results valid up to then (50 km x 50 km). This leads to partly slightly higher correlations between the findings of the modelling and those of the moss monitoring. In this study, descriptive and correlation-statistical parameters are calculated, results and recommendations drawn described. A statistically adequately deepened analysis and evaluation of the highresolution modelling results requires additional methodological tools, which are outlined in summary. It is particularly important to link the exposure data from modelling, technical measurements and the findings from moss monitoring with information on the receptors, the ecosystem types. This is the only way to ensure that the results of the present project contribute to a more differentiated assessment of the impacts on ecosystems from atmospheric heavy metal deposition than has been the case to date, thus enabling a targeted further development of risk assessments for German.
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|a Access is available to the Yale community.
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|a Geochemistry.
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|a Biogeography.
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|a Atmospheric science.
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|a Geographic information systems.
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|a Chemistry-Data processing.
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|a Schröder, Winfried. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut
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|a Ilyin, Ilia. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut
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|a Travnikov, Oleg. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|a Springer ENIN.
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|t Springer Nature eBook
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|i Printed edition: |z 9783031256356
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|i Printed edition: |z 9783031256370
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|b yulintx |h None |z Online resource
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|z Online resource
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|y Online book |u https://yale.idm.oclc.org/login?URL=https://doi.org/10.1007/978-3-031-25636-3
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|a QE514-516.5
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|a Yale Internet Resource |b Yale Internet Resource >> None|DELIM|16549337
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|a online resource
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|a 2023-05-09T14:12:43.000Z
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|a DO NOT EDIT. DO NOT EXPORT.
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|a https://doi.org/10.1007/978-3-031-25636-3