| Autor: |
Deguillaume, L., Charbouillot, T., Joly, M., Vaïtilingom, M., Parazols, M., Marinoni, A., Amato, P., Delort, A.-M., Vinatier, V., Flossmann, A., Chaumerliac, N., Pichon, J. M., Houdier, S., Laj, P., Sellegri, K., Colomb, A., Brigante, M., Mailhot, G. |
| Zdroj: |
Atmospheric Chemistry & Physics Discussions; 2013, Vol. 13 Issue 8, p22795-22846, 52p, 3 Charts, 6 Graphs, 1 Map |
| Abstrakt: |
Long-term monitoring of the chemical composition of clouds (73 cloud events representing 199 individual samples) sampled at the puy de Dôme (pdD) station (France) was performed between 2001 and 2011. Physico-chemical parameters, as well as the concentrations of the major organic and inorganic constituents, were measured and analyzed by multi-component statistical analysis. Along with the corresponding back-trajectory plots, this allowed distinguishing four different categories of air masses reaching the summit of the pdD: polluted, continental, marine and highly marine. This statistical tool leads to the determination of criteria (concentration of inorganic compounds, pH) that differentiate each categories of air masses. Highly marine clouds exhibited high concentrations of Na+ and Cl-; the marine category presented lower concentration of ions but more elevated pH. Finally, the two remaining clusters were classified as "continental" and "polluted" with increasing concentrations of NH4+, NO3-, SO42-. This unique dataset of cloud chemical composition is then discussed as a function of this classification; this will allow the creation of "standard chemical scenarios" that can serve for modeling purposes on multiphase cloud chemistry. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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