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Correlation of Modelled Atmospheric Deposition of Cadmium, Mercury and Lead with the Measured Enrichment of these Elements in Moss: Measured Accumulation in Moss - Softcover

Nickel, Stefan; Schröder, Winfried; Ilyin, Ilia; Travnikov, Oleg

 
9783031256356: Correlation of Modelled Atmospheric Deposition of Cadmium, Mercury and Lead with the Measured Enrichment of these Elements in Moss: Measured Accumulation in Moss

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Prof. Stefan Nickel is a Full Professor and Director of the Institute of Operations Research at the Karlsruhe Institute of Technology (KIT), Germany, as well as Director of both the Karlsruhe Service Research Institute (KSRI) and the Research Center for Computer Science (FZI). He is the Editor-in-Chief of the journal Operations Research for Health Care. Since 2019 he has been the VP IFORS on the EURO executive committee and is a member of the AC of IFORS. Prof. Claudius Steinhardt is a Full Professor of Business Analytics and Management Science at the University of the Bundeswehr Munich. His research expertise focuses on revenue management, logistics, and customer choice modeling. He has chaired the Pricing and Revenue Management working group at the German OR Society (GOR) since 2015. Dr. Hans Schlenker is a Data Scientist at the Hoffmann Group, Munich. He worked many years as a Technical Sales Specialist, and as a Product Manager at IBM Deutschland GmbH. He has more than 20 years' experience in algorithm development, IT architectures, optimization modeling, and solution design. Dr. Wolfgang Burkart is a tenured Lecturer of Analytics and Optimization at the University of Augsburg. His research focuses on pricing, customer choice modeling, and logistics. For many years he has been developing a range of courses for modeling with the Optimization Programming Language within the IBM ILOG CPLEX Optimization Studio.

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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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