OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures.

ABSTRACT: This study aims to generate a satellite-based qualitative emission source characterization for the heavily polluted eastern part of China in the 2010-2016 time period. The applied source identification technique relies on satellite-based NO_x and SO₂ emission estimates by OMI, their SO₂:NO_x ratio, and the MIX anthropogenic emission inventory to distinguish emissions from different emission categories (urban, industrial, natural) and characterize the dominant source per 0.25° × 0.25° grid cell in East China. Overall, we find good agreement between the satellite- and emission inventory-based spatiotemporal distribution and characterization of the dominant emission sources in East China in 2010-2016. In 2010, the satellite measurements suggest an emi

SUBMITTER: Zara M 

PROVIDER: S-EPMC10904434 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature