Articles | Volume 9, issue 11
Atmos. Meas. Tech., 9, 5591–5606, 2016
Atmos. Meas. Tech., 9, 5591–5606, 2016

Research article 23 Nov 2016

Research article | 23 Nov 2016

Impact of biomass burning emission on total peroxy nitrates: fire plume identification during the BORTAS campaign

Eleonora Aruffo et al.

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Cited articles

Andreae, M. O. and Merlet, P.: Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cy., 15, 955–966, 2001.
Biancofiore, F., Verdecchia, M., Di Carlo, P., Tomassetti, B., Aruffo, E., Busilacchio, M., Bianco, S., Di Tommaso, S., and Colangeli, C.: Analysis of surface ozone using a recurrent neural network, Sci. Total. Environ., 514, 379–387, 2015.
Bertschi, I. T., Jaffe, D. A., Jaeglé, L., Price, H. U., and Dennison, J. B.: PHOBEA/ITCT 2002 airborne observations of trans-Pacific transport of ozone, CO, VOCs, and aerosols to the northeast Pacific: Impacts of Asian anthropogenic emissions and Siberian boreal fire emissions, J. Geophys. Res., 109, D23S12,, 2004.
Braspenning, P. J. , Thuijsman, F., and Weijters, A. J. M. M.: Artificial Neural Net-works, an Introduction to ANN Theory and Practice. Lecture Notes on Computer Science, 931, Springer, Berlin, ISBN-10: 3540594884, 1995.
Short summary
During the BORTAS aircraft campaign, we measured NO2 and their oxidtation products (as peroxy nitrates) with a custom laser-induced fluorescence instrument. Because of the high correlation between known pyrogenic tracers (i.e., carbon monoxide) and peroxy nitrates, we provide two methods to use these species for the identification of biomass burning (BB) plumes. Using an artifical neural network, we improved the BB identification taking into account of a meteorological parameter (pressure).