Direct radiative forcing of light-absorbing carbonaceous aerosols in China

被引:3
作者
Yang, Liu [1 ]
Mao, Yuhao [1 ,2 ,4 ]
Liao, Hong [1 ,2 ]
Xie, Mingjie [1 ]
Zhang, Ying [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol NUIST, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
[2] NUIST, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Int Joint Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing 210044, Jiangsu, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Environm Protect Key Lab Satellite Remote Se, Beijing 100101, Peoples R China
[4] Nanjing Univ Informat Sci & Technol NUIST, Sch Environm Sci & Engn, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
Light-absorbing carbonaceous aerosols; Direct radiative forcing; Absorption aerosol optical depth; BLACK CARBON; BROWN CARBON; EMISSION FACTORS; ORGANIC-CARBON; OBSERVATIONAL CONSTRAINTS; OPTICAL-PROPERTIES; COAL COMBUSTION; AIR-POLLUTION; FOREST-FIRES; ABSORPTION;
D O I
10.1016/j.atmosres.2024.107396
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
China is an important emitter of light-absorbing carbonaceous aerosols (LACs), including black carbon (BC) and brown carbon (BrC). Currently, there are large uncertainties in model-estimated direct radiative forcing (DRF) of LACs, partially due to the poor understanding of the emissions and optical properties of LACs. In this study, we estimated the DRF of LACs over China during the implementation of the Air Pollution Prevention and Control Action Plan (APPCAP) using the global chemical transport model (GEOS-Chem) coupled with the Rapid Radiative Transfer Model of GCMs (RRTMG). We updated the refractive index of BC, includedbiomass burning (BB) sources, biofuel (BF) and coal combustion (CC) sources in the residential sector as BrC emission sources and the optical properties were updated, which were not fully considered in the previous model studies. Our results showed that model could reasonably capture the spatial and temporal variations of LACs in China with the correlation coefficients between model simulated and Aerosol Robotic Network (AERONET) observed daily absorption aerosol optical depth (AAOD) of LACs at 440 nm above 0.63 and the corresponding values of the normalized mean bias within +/- 30%. The simulated annual mean LACs AAOD at 440 nm in China was 0.016 (0.021) in 2017 (2014) and BrC contributed about 20% (21%). The estimated annual mean clear-sky LACs DRF at the top of the atmosphere in China was 1.02 W m(-2) in 2017 and 1.38 W m(-2) in 2014, and the contribution of BrC was about 10% and 11%, respectively, which was dominated by the BF sources (46% in 2017 and 44% in 2014) and the BB sources (38% in 2017 and 43% in 2014), with CC sources being low (16% in 2017 and 13% in 2014). The annual mean AAOD and DRF of LACs in China decreased by 0.005 and 0.36 W m(-2) from 2014 to 2017, which were largely attributed to the reductions of anthropogenic emissions during the implementation of APPCAP. Our results would improve the understanding of the light absorption capacity and climate effects of LACs in China.
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页数:15
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