[세미나] Prof. Jintai Lin

Satellite-based Estimate of NOx Pollution and Emissions: Towards 1 km Resolution

Prof. Jintai Lin

2024년 7월 1일 (월) 16:00

과학관 551호

Abstract

Nitrogen oxides (NOx = NO + NO 2 ) are a major air pollutant which undergoes substantial fine-scale spatiotemporal variations associated with complex emission sources and nonlinear chemistry. Current ground-based concentration measurements and emission datasets can hardly capture the fine-scale spatial details of NOx. Satellite remote sensing provides a great opportunity to estimate NOx pollution and their emissions at high resolution. Our decade-long endeavor has established an advanced algorithm (POMINO) to retrieve tropospheric vertical column densities (VCDs) of nitrogen dioxide (NO 2 ) from three satellite instruments (OMI, TROPOMI and GEMS). POMINO allows an explicit representation of how aerosol absorption and scattering affect the NO 2 retrieval, among other special features. Recently, we have also developed a fast, reliable algorithm (PHLET) to retrieve NOx emissions at high spatial resolution (≤ 5 km), by accounting for the nonlinear chemistry (i.e., concentration-dependent lifetime) and horizontal transport at individual locations. Applying POMINO and PHLET to Asia reveals many important emission sources which are missing in current anthropogenic emission inventories and natural emission datasets. At the moment, we are taking a further step to estimate NOx emissions at an unprecedented resolution of 1 km, by combining satellite NO 2 data, physics-based emission inversion and Artificial Intelligence (AI). These data will provide crucial information to support future-generation satellite mission, air quality and climate modeling and targeted emission mitigation.