Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM2.5 Using an Observation-Based Model

Lin, Changqing1,2; Lau, Alexis K. H.1,2; Fung, Jimmy C. H.2,3; Lao, Xiang Qian4; Li, Ying5; Li, Chengcai6

2019-03-19

10.1021/acs.est.8b06358

ENVIRONMENTAL SCIENCE & TECHNOLOGY   影响因子和分区

0013-936X

1520-5851

Variations in aerosol characteristics play an essential role in satellite remote sensing of PM2.5 concentrations. The lack of measurement of aerosol characteristics, however, limits the assessment of their effects. This study presented an observation-based model that directly considered the effects of aerosol characteristics. In this model, we used an integrated humidity coefficient (gamma') and an integrated reference value (K) to delineate the effects of aerosol characteristics. We then investigated the effects of the long-term variations in aerosol characteristics on satellite remote sensing of PM2.5 concentration in Hong Kong from 2004 to 2012. The results show that the gamma' value peaked in 2009 because the percentages of highly hygroscopic components (e.g., sulfate and nitrate) in aerosols reached their peaks. The K value increased from 2004 to 2011 because of the increasing percentages of strong light-extinction components (e.g., organic matter) and the decreasing fine mode fraction in aerosols. The accuracy of PM2.5 retrieval improved greatly after accounting for the long-term variations in aerosol characteristics (e.g., correlation coefficient increased from 0.56 to 0.80). The results underscore the need to incorporate the variations in aerosol characteristics in the PM2.5 estimation models.

SCI ; EI

英语

NI期刊

其他

Fok Ying Tung Graduate School[NRC06/07.SC01]

Engineering ; Environmental Sciences & Ecology

Engineering, Environmental ; Environmental Sciences

WOS:000462098000007

AMER CHEMICAL SOC

20191206661605

Sulfur compounds ; Remote sensing ; Light extinction ; Satellites

Satellites:655.2 ; Light/Optics:741.1

ENVIRONMENT/ECOLOGY

Web of Science

1.Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
2.Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
3.Hong Kong Univ Sci & Technol, Dept Math, Hong Kong, Peoples R China
4.Chinese Univ Hong Kong, Jockey Club Sch Publ Hlth & Primary Care, Hong Kong, Peoples R China
5.Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China
6.Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China

Lin, Changqing,Lau, Alexis K. H.,Fung, Jimmy C. H.,et al. Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM2.5 Using an Observation-Based Model[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2019,53(6):2990-3000.

Lin, Changqing,Lau, Alexis K. H.,Fung, Jimmy C. H.,Lao, Xiang Qian,Li, Ying,&Li, Chengcai.(2019).Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM2.5 Using an Observation-Based Model.ENVIRONMENTAL SCIENCE & TECHNOLOGY,53(6),2990-3000.

Lin, Changqing,et al."Assessing the Effect of the Long-Term Variations in Aerosol Characteristics on Satellite Remote Sensing of PM2.5 Using an Observation-Based Model".ENVIRONMENTAL SCIENCE & TECHNOLOGY 53.6(2019):2990-3000.