인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
Aerosols significantly impact air quality, public health, and climate. Long-term analysis of aerosol loading trends is essential for understanding changes in air quality and climate, and informing regulatory policies. This study analyzes long-term Aerosol Optical Depth (AOD) trends across Asia using data from the Aerosol Robotic Network (AERONET), a global ground-based remote sensing network for aerosol optical properties. Observations from 56 stations across 21 countries in East, Southeast, South, and Central Asia (1998~2024) were deseasonalized and analyzed via linear regression. Unlike previous studies focused on total AOD, this study separately examines Fine-mode and Coarse-mode AOD (FAOD and CAOD) to distinguish anthropogenic aerosol contributions from dust and integrates analyses of absorption properties, including Single Scattering Albedo (SSA), and aerosol type. Overall, both FAOD and CAOD exhibit decreasing trends across Asia. The FAOD decrease is most pronounced in East Asia, reaching up to -7% yr<sup>-1</sup>, likely attributable to air pollution control policies. Several stations also show a shift from Black Carbon to Non-Absorbing aerosol dominance, accompanied by increasing SSA. The CAOD decrease is dominant in South Asia, reaching up to -6% yr<sup>-1</sup>, driven primarily by a reduction in Asian dust frequency. In contrast, FAOD in South Asia shows an increasing trend, potentially linked to meteorological factors. These findings demonstrate that regional aerosol trends are governed by the combined influence of local environmental conditions, air quality policies, and meteorological variability, all of which must be considered in future analyses.
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목차
- Abstract
- 1. 서론
- 2. 자료 및 방법
- 3. 결과 및 토의
- 4. 결론
- REFERENCES
참고문헌
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