Remote sensing emission inventory of field-level open biomass
burning NOx of China

Abstract

Abstract: Aiming at different land cover types, especially the spatial distribution of crops, an emission factor (EF) weighting strategy, which considers the prior probability of the elaborate crop distribution within the fire pixels, was proposed, and then under the assumption of Gaussian distribution of diurnal cycle of fire radiative power (FRP), the emission inventory of nitrogen oxide (NOx) from biomass combustion on field-level of China was constructed. To validate the assumption of Gaussian distribution of diurnal cycle of FRP, comparison between the established emission inventory and the Himawari-8 satellite observations was conducted, and the Pearson correlation coefficient between the two results reaches 0.65. Meanwhile, in order to evaluate the emission inventory, comparisons with the global fire emission database (GFED), in-situ observations at three environmental monitoring stations in Hubei Province and ozone monitoring instrument (OMI) product were also conducted. It is shown that the correlation coefficients between the emission inventories established in this study and the two in-situ observations are 0.56 and 0.65, respectively, and in other hand, the emission inventory agrees well with GFED database and OMI observations in general with higher spatiotemporal resolution.

Key words: open biomass burning, field-level, NOx, emission inventory, land cover

CLC Number:

X511
TP79

SHEN Yonglin, JIANG Changmin, XIAO Zemin, YAO Ling, QIN Kai∗ (. Remote sensing emission inventory of field-level open biomass burning NOx of China[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(6): 655-669.

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Remote sensing emission inventory of field-level open biomass burning NOx of China

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