Distinct Regional and Seasonal Patterns of Atmospheric NH3 Observed from Satellite over East Asia

  • Choi, Haklim; 
  • Park, Mi Eun; 
  • Bae, Jeong-Ho
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초록

Ammonia (NH3), as a vital component of the nitrogen cycle, exerts significant influence on the biosphere, air quality, and climate by contributing to secondary aerosol formation through its reactions with sulfur dioxide (SO2) and nitrogen oxides (NOx). Despite its critical environmental role, NH3's transient atmospheric lifetime and the variability in spatial and temporal distributions pose challenges for effective global monitoring and comprehensive impact assessment. Recognizing the inadequacies in current in situ measurement capabilities, this study embarked on an extensive analysis of NH3's temporal and spatial characteristics over East Asia, using the Infrared Atmospheric Sounding Interferometer (IASI) onboard the MetOp-B satellite from 2013 to 2024. The atmospheric NH3 concentrations exhibit clear seasonality, beginning to rise in spring, peaking in summer, and then decreasing in winter. Overall, atmospheric NH3 shows an annual increasing trend, with significant increases particularly evident in Eastern China, especially in June. The regional NH3 trends within China have varied, with steady increases across most regions, while the Northeastern China Plain remained stable until a recent rapid rise. South Korea continues to show consistent and accelerating growth. East Asia demonstrates similar NH3 emission characteristics, driven by farmland and livestock. The spatial and temporal inconsistencies between satellite data and global chemical transport models underscore the importance of establishing accurate NH3 emission inventories in East Asia.

키워드

ammonia; agricultural; livestock; satellite; East Asia; AMMONIA NH3; GLOBAL-MODEL; MEGAN MODEL; EMISSIONS; AEROSOLS; VERSION; CHEMISTRY; GASES; DEPOSITION; INVENTORY
제목
Distinct Regional and Seasonal Patterns of Atmospheric NH3 Observed from Satellite over East Asia
저자
Choi, Haklim; Park, Mi Eun; Bae, Jeong-Ho
DOI
10.3390/rs17152587
발행일
2025-07-24
유형
Article
저널명
Remote Sensing
권
17
호
15