Japan Geoscience Union Meeting 2014

Presentation information

Poster

Symbol A (Atmospheric, Ocean, and Environmental Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS22_1PO1] Atmospheric Chemistry

Thu. May 1, 2014 6:15 PM - 7:30 PM Poster (3F)

Convener:*Takegawa Nobuyuki(Research Center for Advanced Science and Technology, University of Tokyo), Yousuke Sawa(Geochemical Research Department, Meteorological Research Institute), Yugo Kanaya Yugo(Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology), Kenshi Takahashi(Research Institute for Sustainable Humanosphere, Kyoto University), Hiroshi Tanimoto(National Institute for Environmental Studies)

6:15 PM - 7:30 PM

[AAS22-P25] The Relationship between CO Concentration and Biomass Burning over the North China Plain

*Satoko KAYABA1, Sachiko HAYASHIDA1, Akiko ONO1 (1.Faculty of Science, Nara Women's University)

Carbon monoxide (CO) controls the greenhouse gasses (e.g., CH4, O3) indirectly through a chemical reactions. Therefore, CO is regarded as an indirect-greenhouse gas and thus it is important to understand its spatiotemporal variation.Wang et al.,[JGR, 2002] suggested that the open crop residue burning in June over the North China Plain affects on CO concentration, and it was confirmed by field campaign at Mt.Tai and investigated by model simulations [Kanaya et al.,2013 and reference therein]. Besides, the recent rapid industrialization in China brought significant increase in emission of CO [Ohara et al., ACP, 2007].In this study, we analyzed the relationship between fire outbreak and CO concentration over the North China Plain by using satellite data. The CO data are taken from Measurement Of Pollution In The Troposphere (MOPITT). We used the Version 5 product. The fires detected by satellite observations are expressed as the hotspot numbers that are derived from the MODIS thermal anomaly product [Takeuchi and Yasuoka, 2006], using the algorithm by [Giglio et al.RSE,2003]. Here we used the hotspot numbers as proxy of the fire detection index.CO concentration in June increases accompanied by a large number of the hotspot counts, which is consistent as previous studies. On the other hand, CO concentration gradually increases in fall and winter with only few hotspot numbers. It implies that CO emissions are possibly from industrial activity, automobiles and coal burning for heating rather than biomass burning in fall and winter. In addition, the year-to-year variability of CO concentration in June and in fall and winter was different. This study was supported by a Grant-in-Aid from the Green Network of Excellence, Environmental Information (GRENE-ei) program.