中国田块尺度露天生物质燃烧NO_(x)遥感排放清单

Remote sensing emission inventory of field-level open biomass burning NO_(x) of China

针对不同土地覆盖类型特别是作物空间分布,提出一种顾及火点像元地物类别先验概率的排放因子加权策略,并结合热辐射功率(FRP)昼夜周期分布的假设,建立了我国逐日1 km的田块尺度露天生物质燃烧氮氧化物(NO_(x))遥感排放清单。为验证FRP昼夜周期分布假设的合理性,与Himawari-8 FRP反演结果进行比较,两者相关系数约为0.65。同时,为验证排放清单的有效性,将估算结果与全球火情数据库(GFED)、湖北省内三个环境监测站点观测资料、臭氧监测仪(OMI)遥感观测数据等进行了对比验证。对比结果显示所建立的排放清单与其中两站点观测数据的相关系数分别为0.56和0.65,与GFED数据库以及OMI数据具有较好的一致性,且具有更高的时空分辨率。

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(NO_(x))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.