Japan Geoscience Union Meeting 2018

Presentation information

[EJ] Oral

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS06] Atmospheric Chemistry

Thu. May 24, 2018 10:45 AM - 12:15 PM A05 (Tokyo Bay Makuhari Hall)

convener:Yoko Iwamoto(Graduate School of Biosphere Science, Hiroshima University), Tomoki Nakayama(Graduate School of Fisheries and Environmental Sciences, Nagasaki University), Sakae Toyoda(東京工業大学物質理工学院, 共同), Nawo Eguchi(Kyushu University), Chairperson:Saitoh Naoko(Chiba University)

11:30 AM - 11:45 AM

[AAS06-14] Aerosol Types from 25 Southeast Asian AERONET sites obtained using specified clustering and Mahalanobis distance

*Hans Jarett J. Ong1,2, Nofel Lagrosas15, Uy Sherdon2, Cruz Liz2, Gacal Glenn2, Reid Jeffrey16, Anh Xuan Nguyen3, Puji Lestari4, Serm Janjai5, Tang-Huang Lin6, Sheng-Hsiang (Carlo) Wang6, Chun-Chiang (Ferret) Kuo6, Hao-Ping (Eric) Chia6, Neng-Huei (George) Lin6, Brent N. Holben7, Maznorian Mohamad8, Mastura Mahmud9, Soo Chin Liew10, Gin-Rong Liu6, Susana Dorado11, Victorino Tobis11, Santo V. Salinas Cortijo12, Po-Hsiung Lin13, Hwee San Lim14 (1.Ateneo de Manila University, 2.Manila Observatory, 3.Vietnam Academy of Science and Techonology, 4.Institute of Technology Bandung, 5.Silpakorn University, 6.National Central University, 7.NASA Goddard Space Flight Center, 8.Malaysian Meteorological Department, 9.Universiti Kebangsaan Malaysia, 10.National University of Singapore, 11.Notre Dame of Marbel University, 12.Center of Remote Imaging, Sensing and Processing, 13.National Taiwan University, 14.Universiti Sains Malaysia, 15.Center of Environmental Remote Sensing, Chiba University, 16.United States Naval Research Laboratory)

Keywords:Aerosols, AERONET, Southeast Asia, Angstrom Exponent, Single Scattering Albedo, Biomass

This study aims to identify aerosol types over 25 southeast Asian sites using Aerosol Robotic Network (AERONET) level 2.0 inversion data in a five-dimensional specified classification method. The classification method makes use of the Mahalanobis distance in five dimensions to classify each point of the data to the closest reference cluster. This study relies on the fact that the method is scale-free and takes into account the obliqueness of the clusters. AERONET data from 7 sites is used to define 7 aerosol reference clusters: mineral dust (MD), polluted dust (PD), urban industrial (UI), urban industrial developing (UID), biomass burning white smoke (BBW), biomass burning dark smoke (BBD), and marine aerosols (Russell et al., 2014). These are applied on the following AERONET sites: Thailand (ChiangMaiMetSta, Mukdahan, Omkoi, SilpakornUniv, SongkhlaMetSta, UbonRatchathani); Singapore (Singapore); Vietnam (BacGiang, BacLieu, NGHIADO, NhaTrang); Philippines (ManilaObservatory, NDMarbelUniv); Taiwan (Chiayi, DongshaIsland, EPANCU, Lulin, NCUTaiwan, TaipeiCWB); Malaysia (Kuching, USMPenang); and Indonesia (Bandung, Jambi, Palangkaraya, Pontianak). The results of applying this method to the AERONET data from these sites show that the most dominant aerosol types in the region are PD, UID, and BBW. PD aerosols are characterized by mean Angstrom Exponent (AE) values of 1.19 (±0.238) and mean Single Scattering Albedo (SSA) values of 0.886 (±0.0400). UID aerosols are characterized by mean AE of 1.34 (±0.151) and mean SSA of 0.955 (±0.0249). BBW is characterized by mean AE of 1.87 (±0.144) and mean SSA of 0.925 (±0.0201). This implies that BBW aerosols are finer compared to PD and UID while PD aerosols are more absorbing compared to UID and BBW. The dominance of PD and UID aerosols may be attributed to vehicular emissions (with complete and incomplete combustions). The dominance of BBW in this region may be attributed to open burning of crop residues after harvesting. In this work, the sites where PD is most dominant are BacGiang (75%), BacLieu (63%), Bandung (55%), ChiangMaiMetSta (69%), DongshaIsland (52%), Lulin (38%), ManilaObservatory (77%), Mukdahan (58%), NDMarbelUniv (41%), NGHIADO (50%), NhaTrang (48%), Omkoi (38%), SilpakornUniv (77%), SongkhlaMetSta (69%), TaipeiCWB (54%), and USMPenang (55%). In these sites, PD is generally dominant during the months of January to May, although it is observed to be scattered throughout the year for some sites. The months of January to May are usually considered as dry months in some sites although exact dry months differ for each site. UID is the most dominant aerosol type in Chiayi (66%), EPANCU (50%), Jambi (50%), Kuching (47%), NCUTaiwan (56%), Palangkaraya (67%), Pontianak (48%), and Singapore (60%). BBW is most dominant in UbonRatchathani (38%), but is also found in significant amounts in Jambi (22%), Kuching (24%), Lulin (14%), Mukdahan (15%), NDMarbelUniv (21%), NhaTrang (23%), Omkoi (34%), USMPenang (11%). During September and October when biomass burning is common in the region, traces of BBW and BBD are found in Kuching, Pontianak, Singapore, and Taipei. UID type is commonly observed all throughout the year.