Your browser doesn't support javascript.
loading
Application of multiplatform remote sensing data over East Asia Ocean: aerosol characteristics and aerosol types.
Luan, Kuifeng; Cao, Zhaoxiang; Shen, Wei; Zhou, Peng; Qiu, Zhenge; Wan, Haixia; Wang, Zhenhua; Zhu, Weidong.
Affiliation
  • Luan K; College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
  • Cao Z; Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai, 200123, China.
  • Shen W; College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China. m210200599@st.shou.edu.cn.
  • Zhou P; College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
  • Qiu Z; Estuarine and Oceanographic Mapping Engineering Research Center of Shanghai, Shanghai, 200123, China.
  • Wan H; School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China.
  • Wang Z; State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Zhu W; College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
Environ Sci Pollut Res Int ; 31(25): 37175-37195, 2024 May.
Article in En | MEDLINE | ID: mdl-38764086
ABSTRACT
It is important to explore the characteristics and rules of atmospheric aerosol in the East Asian Sea for monitoring and evaluating atmospheric environmental quality. Based on Aerosol Robot Network (AERONET), Visible Infrared Imaging Radiometer (VIIRS), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, the temporal and spatial variation characteristics and differences of aerosol parameters and types in the East Asian Sea were studied by using figure classification method (FIGCM), aerosol optical depth (AOD)440-Angstrom exponent (AE)440-870 method (AA1M), and AOD550-AE490-670 method (AA2M). The results show that the seasonal variation trend of aerosol characteristics and types is obvious in East Asia Sea. AOD, volume concentration (Cv), and aerosol effective radius (reff) in the Bohai-Yellow Sea and the Sea of Japan in autumn are lower than those in other seasons, and the occurrence frequency of ocean-type aerosols is high. Different from the Bohai-Yellow Sea and Sea of Japan, human activities in winter, summer, and autumn seriously affect the air quality in the East China Sea and South China Sea. Especially at the Taipei CWB site, from aerosol parameters and high biomass burning/urban industrial (BB/UI) aerosol, human activity is an important factor for high pollution at the Taipei CWB site. Aerosol types of AA1M, FIGCM, AA2M, and CALIPSO were compared at Anmyon and Yonsei University sites in the Bohai-Yellow Sea in March 2020. The results show that aerosol types based on threshold classification methods generally have higher mixed aerosol results, and the marine (MA) results of AA1M, FIGCM, and AA2M are close to the clean marine aerosol results of CALIPSO. Comparing the results of AA 2 M and CALIPSO on a spatial scale, it is found that the clean marine aerosol proportion identified by CALIPSO (0.38, 0.48, 0.82) is consistent with the MA proportion identified by AA 2 M (0.43, 0.46, 0.97) in the East China Sea, South China Sea, and Western Pacific Ocean.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oceans and Seas / Environmental Monitoring / Aerosols / Remote Sensing Technology Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oceans and Seas / Environmental Monitoring / Aerosols / Remote Sensing Technology Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: