A53D-03
Substantial Underestimation of Post-harvest Burning Emissions in East China as Seen by Multi-species Space Observations

Friday, 18 December 2015: 14:10
3010 (Moscone West)
Trissevgeni Stavrakou1, Jean-Francois Muller2, Maite Bauwens2, Isabelle De Smedt1, Christophe Lerot1 and Michel Van Roozendael1, (1)Belgian Institute for Space Aeronomy, Brussels, Belgium, (2)Belgisch Instituut voor Ruimte-Aeronomie, Brussel, Belgium
Abstract:
Crop residue burning is an important contributor to global biomass burning. In the North China Plain, one of the largest and densely populated world plains, post-harvest crop burning is a common agricultural management practice, allowing for land clearing from residual straw and preparation for the subsequent crop cultivation. The most extensive crop fires occur in the North China Plain in June after the winter wheat comes to maturity, and have been blamed for spikes in air pollution leading to serious health problems. Estimating harvest season burning emissions is therefore of primary importance to assess air quality and define best policies for its improvement in this sensitive region. Bottom-up approaches, either based on crop production and emission factors, or on satellite burned area and fire radiative power products, have been adopted so far, however, these methods crucially depend, among other assumptions, on the satellite skill to detect small fires, and could lead to underestimation of the actual emissions. The flux inversion of atmospheric observations is an alternative, independent approach for inferring the emissions from crop fires. Satellite column observations of formaldehyde (HCHO) exhibit a strong peak over the North China Plain in June, resulting from enhanced pyrogenic emissions of a large suite of volatile organic compounds (VOCs), precursors of HCHO. We use vertical columns of formaldehyde retrieved from the OMI instrument between 2005 and 2012 as constraints in an adjoint inversion scheme built on IMAGESv2 CTM, and perform the optimization of biogenic, pyrogenic, and anthropogenic emission parameters at the model resolution. We investigate the interannual variability of the top-down source, quantify its importance for the atmospheric composition on the regional scale, and explore its uncertainties. The OMI-based crop burning source is compared with the corresponding anthropogenic flux in the North China Plain, and is evaluated against HCHO columns from the GOME-2 instrument. The contribution of crop fires to the observed glyoxal and NO2 columns from OMI, and methanol columns from IASI is also investigated and discussed.