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Correlation of modelled atmospheric ...

Nickel, Stefan.

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Correlation of modelled atmospheric deposition of cadmium, mercury and lead with the measured enrichment of these elements in moss

Record Type:	Electronic resources : Monograph/item
Title/Author:	Correlation of modelled atmospheric deposition of cadmium, mercury and lead with the measured enrichment of these elements in moss/ by Stefan Nickel ... [et al.].
other author:	Nickel, Stefan.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xvi, 82 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Foreword -- Chapter 1 Background and aims -- Chapter 2 Materials and Methods -- Chapter 3 Results -- Chapter 4 Conclusions.
Contained By:	Springer Nature eBook
Subject:	Air - Pollution - Germany. -
Online resource:	https://doi.org/10.1007/978-3-031-25636-3
ISBN:	9783031256363

Correlation of modelled atmospheric deposition of cadmium, mercury and lead with the measured enrichment of these elements in moss
Correlation of modelled atmospheric deposition of cadmium, mercury and lead with the measured enrichment of these elements in moss[electronic resource] /by Stefan Nickel ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xvi, 82 p. :ill. (some col.), digital ;24 cm.

Foreword -- Chapter 1 Background and aims -- Chapter 2 Materials and Methods -- Chapter 3 Results -- Chapter 4 Conclusions.

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.

ISBN: 9783031256363

Standard No.: 10.1007/978-3-031-25636-3doiSubjects--Topical Terms:

3630520
Air
--Pollution--Germany.

LC Class. No.: TD883.7.G4

Dewey Class. No.: 363.73920943

Correlation of modelled atmospheric deposition of cadmium, mercury and lead with the measured enrichment of these elements in moss
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245 0 0 $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 ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xvi, 82 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Foreword -- Chapter 1 Background and aims -- Chapter 2 Materials and Methods -- Chapter 3 Results -- Chapter 4 Conclusions.
520 $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.
650 0 $a Air $x Pollution $z Germany. $3 3630520
650 0 $a Environmental chemistry $x Mathematical models. $3 550961
650 0 $a Mosses $x Mathematical models. $3 3630521
650 0 $a Transportation $x Environmental aspects $z Germany. $3 3630522
650 0 $a Cadmium $x Environmental aspects $z Germany. $3 3630523
650 0 $a Mercury $x Environmental aspects $z Germany. $3 3630524
650 0 $a Lead $x Environmental aspects $z Germany. $3 3630525
650 1 4 $a Geochemistry. $3 539092
650 2 4 $a Biogeosciences. $3 893817
650 2 4 $a Atmospheric Science. $3 3592263
650 2 4 $a Geographical Information System. $3 3538564
650 2 4 $a Computational Chemistry. $3 3595554
700 1 $a Nickel, Stefan. $3 757108
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-25636-3
950 $a Chemistry and Materials Science (SpringerNature-11644)