916 resultados para grain dust
Resumo:
Die heterogenen Reaktionen von N2O5 bzw. NO3 auf mineralischen Staubpartikeln wurden untersucht, um deren Einfluss auf den Abbau atmosphärischer Stickoxide (NOx) sowie auf die chemische Veränderung der Staubpartikel während ihres Transportes durch die Atmosphäre besser verstehen zu können. Die experimentellen Studien wurden bei Atmosphärendruck, Raumtemperatur und unterschiedlichen relativen Luftfeuchten durchgeführt. Der Aufnahmekoeffizient γ(N2O5) von N2O5 auf dispergiertem Staub aus der Sahara wurde zu 0,020 ± 0,002 (1σ) bestimmt, unabhängig von der relativen Feuchte (0 - 67 %) sowie der N2O5-Konzentration (5x1011 - 3x1013 Moleküle cm-3).rnDie Analyse der Reaktionsprodukte in der Gasphase sowie auf der Partikeloberfläche führt zu der Annahme, dass N2O5 auf der Staubpartikeloberfläche zu Nitrat hydrolysiert wird. Es konnte kein Einfluss der relativen Feuchte auf den Aufnahmekoeffizienten ermittelt werden, was durch das vorhandene interlamellare Wasser, welches bis zu 10 % der Partikelmasse betragen kann, erklärbar ist. Der gemessene Wert des Aufnahmekoeffizienten ist unabhängig von der Eingangs-N2O5-Konzentration, was sich über die sehr große innere Oberfläche der Partikel erklären lässt. Dennoch ließ sich durch eine vorherige Konditionierung der Partikel mit gasförmigem HNO3, was eine Nitratanreicherung an der Oberfläche bewirkt, die Effizienz der N2O5-Aufnahme auf die Staubpartikel reduzieren. Zusätzliche Studien befassten sich mit der Bestimmung des Aufnahmekoeffizienten von N2O5 auf Illit-Partikeln und auf Teststaub aus Arizona. Bei einer relativen Luftfeuchte von 0 % wurden für γ(N2O5) Werte von 0,084 ± 0,019 (1σ) für Illit und von 0,010 ± 0,001 (1σ) für Arizona Teststaub ermittelt.rnUnter Anwendung einer neuartigen Messmethode, die auf der zeitgleichen Messung der Konzentrationsabnahme von NO3 und N2O5 relativ zueinander beruht, wurde das Verhältnis γ(NO3)/γ(N2O5) der Aufnahmekoeffizienten von NO3 und N2O5 auf Saharastaub zu 0,9 ± 0,4 (1σ) bestimmt. Dieser Wert war unabhängig von der relativen Feuchte, den NO3- und N2O5-Konzentrationen sowie der Reaktionszeit, obwohl eine Oberflächendeaktivierung für beide Spurenstoffe beobachtet wurde.
Resumo:
Mineral dust is an important component of the Earth's climate system and provides essential nutrientsrnto oceans and rain forests. During atmospheric transport, dust particles directly and indirectly influencernweather and climate. The strength of dust sources and characteristics of the transport, in turn, mightrnbe subject to climatic changes. Earth system models help for a better understanding of these complexrnmechanisms.rnrnThis thesis applies the global climate model ECHAM5/MESSy Atmospheric Chemistry (EMAC) for simulationsrnof the mineral dust cycle under different climatic conditions. The prerequisite for suitable modelrnresults is the determination of the model setup reproducing the most realistic dust cycle in the recentrnclimate. Simulations with this setup are used to gain new insights into properties of the transatlanticrndust transport from Africa to the Americas and adaptations of the model's climate forcing factors allowrnfor investigations of the impact of climatic changes on the dust cycle.rnrnIn the first part, the most appropriate model setup is determined through a number of sensitivity experiments.rnIt uses the dust emission parametrisation from Tegen et al. 2002 and a spectral resolutionrnof T85, corresponding to a horizontal grid spacing of about 155 km. Coarser resolutions are not able tornaccurately reproduce emissions from important source regions such as the Bodele Depression in Chad orrnthe Taklamakan Desert in Central Asia. Furthermore, the representation of ageing and wet deposition ofrndust particles in the model requires a basic sulphur chemical mechanism. This setup is recommended forrnfuture simulations with EMAC focusing on mineral dust.rnrnOne major branch of the global dust cycle is the long-range transport from the world's largest dustrnsource, the Sahara, across the Atlantic Ocean. Seasonal variations of the main transport pathways to thernAmazon Basin in boreal winter and to the Caribbean during summer are well known and understood,rnand corroborated in this thesis. Both Eulerian and Lagrangian methods give estimates on the typicalrntransport times from the source regions to the deposition on the order of nine to ten days. Previously, arnhuge proportion of the dust transported across the Atlantic Ocean has been attributed to emissions fromrnthe Bodele Depression. However, the contribution of this hot spot to the total transport is very low inrnthe present results, although the overall emissions from this region are comparable. Both model resultsrnand data sets analysed earlier, such as satellite products, involve uncertainties and this controversy aboutrndust transport from the Bodele Depression calls for future investigations and clarification.rnrnAforementioned characteristics of the transatlantic dust transport just slightly change in simulationsrnrepresenting climatic conditions of the Little Ice Age in the middle of the last millennium with meanrnnear-surface cooling of 0.5 to 1 K. However, intensification of the West African summer monsoon duringrnthe Little Ice Age is associated with higher dust emissions from North African source regions and wetterrnconditions in the Sahel. Furthermore, the Indian Monsoon and dust emissions from the Arabian Peninsula,rnwhich are affected by this circulation, are intensified during the Little Ice Age, whereas the annual globalrndust budget is similar in both climate epochs. Simulated dust emission fluxes are particularly influencedrnby the surface parameters. Modifications of the model do not affect those in this thesis, to be able tornascribe all differences in the results to changed forcing factors, such as greenhouse gas concentrations.rnDue to meagre comparison data sets, the verification of results presented here is problematic. Deeperrnknowledge about the dust cycle during the Little Ice Age can be obtained by future simulations, based onrnthis work, and additionally using improved reconstructions of surface parameters. Better evaluation ofrnsuch simulations would be possible by refining the temporal resolution of reconstructed dust depositionrnfluxes from existing ice and marine sediment cores.
Reaction-induced nucleation and growth v. grain coarsening in contact metamorphic, impure carbonates
Resumo:
The Greenland NGRIP ice core continuously covers the period from present day back to 123 ka before present, which includes several thousand years of ice from the previous interglacial period, MIS 5e or the Eemian. In the glacial part of the core, annual layers can be identified from impurity records and visual stratigraphy, and stratigraphic layer counting has been performed back to 60 ka. In the deepest part of the core, however, the ice is close to the pressure melting point, the visual stratigraphy is dominated by crystal boundaries, and annual layering is not visible to the naked eye. In this study, we apply a newly developed setup for high-resolution ice core impurity analysis to produce continuous records of dust, sodium and ammonium concentrations as well as conductivity of melt water. We analyzed three 2.2 m sections of ice from the Eemian and the glacial inception. In all of the analyzed ice, annual layers can clearly be recognized, most prominently in the dust and conductivity profiles. Part of the samples is, however, contaminated in dust, most likely from drill liquid. It is interesting that the annual layering is preserved despite a very active crystal growth and grain boundary migration in the deep and warm NGRIP ice. Based on annual layer counting of the new records, we determine a mean annual layer thickness close to 11 mm for all three sections, which, to first order, confirms the modeled NGRIP time scale (ss09sea). The counting does, however, suggest a longer duration of the climatically warmest part of the NGRIP record (MIS5e) of up to 1 ka as compared to the model estimate. Our results suggest that stratigraphic layer counting is possible basically throughout the entire NGRIP ice core, provided sufficiently highly-resolved profiles become available.