Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China

Crop residue burning is the major biomass activity in China, strongly influencing regional air quality and climate. As cultivation pattern China rather scattered intricate, it a challenge to derive an accurate emission inventory for crop burning. In this study, we proposed remote sensing-based method estimate nitrogen oxide (NOx) emissions related at field level over Hubei, China. The new considers differences factors spatial distribution different types. Fire radiative power (FRP) derived from moderate-resolution imaging spectroradiometer (MODIS) was used quantify NOx agricultural combustion. of crops classified by multisource sensing data as priori constraint. We database Hubei 2014 2016 with resolution 1 × km. Significant seasonal patterns were observed database. Peak occurring October late autumn harvesting. Another peak between January April, which due frequent stubble before spring sowing. Our results validated comparing our geostationary satellite observations, previous studies, global fire (GFED), NO2 vertical column densities (VCDs) ozone monitoring instrument (OMI) measurements environmental stations. comparisons showed GFED 47% lower than ours, while evaluations most statistical studies significantly higher results. discrepancies likely methodology sources. spatiotemporal variations study strong correlations VCDs, agreed well observations. A reasonable correlation situ observations regions demonstrated that reliable. believe can potentially improve understanding pollution sources provide additional information design control measures.