SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia
Ma, Yining1; Xin, Jinyuan1,2; Zhang, Wenyu; Liu, Zirui1; Ma, Yongjing1; Kong, Lingbin1; Wang, Yuesi1; Deng, Yun3; Lin, Shuheng4; He, Zhiming5
2019
Source PublicationATMOSPHERIC RESEARCH
ISSN0169-8095
Volume219Pages:140
AbstractAerosol and particulate matter are playing significant roles in the regional climate and environment in the tropical rain forest of Southeast Asia. Both satellite and ground observations showed significant seasonal variations in the PM2.5 concentration and the aerosol optical properties during 2012-2014 in the Xishuangbanna tropical rain forest. The annual mean values of the PM2.5, aerosol optical depth (AOD), and the Angstrom exponent (alpha) were 34.3 +/- 19.7 mu g.m(-3), 0.54 +/- 0.37, and 1.36 +/- 0.20 in the dry season and 16.90 +/- 5.08 mu g.m(-3), 0.37 +/- 0.10, and 1.07 +/- 0.25 in the wet season, respectively. The results showed that 46.9% and 56.5% of the moderate-resolution imaging spectroradiometer (MODIS) C6 AOD data met the NASA accuracy requirements in the dry and wet season respectively and 17.1% and 17.7% of the seasonal mean systematically underestimated the ground-based data. There was a high correlation between PM2.5 and AOD. The range of the correlation coefficient (R-2) was 0.69-0.85 in the dry season and 0.33-0.39 in the wet season. Linear regression functions of PM2.5 and MODIS AOD were developed and used to retrieve the spatial and temporal distributions of the PM2.5 in the tropical rain forest over the last decade (2006-2015). The annual mean PM2.5 increased slightly in the region. The range of the PM2.5 was 20-40 mu g.m(-3) in the wet season and 25-80 mu g.m(-3) in the dry season. In northern Thailand, northern Vietnam and the central district of Laos, PM2.5 was up to the range of 50-80 mu g.m(-3), which was mainly attributed to biomass burning in these areas.
DepartmentLTO
KeywordPM2.5 Aerosol optical depth (AOD) MODIS Biomass burning The tropical rain forest Southeast Asia
DOI10.1016/j.atmosres.2018.12.024
Citation statistics
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/17738
Collection热带海洋环境国家重点实验室(LTO)
Affiliation1.Lanzhou Univ, Coll Atmospher Sci, Key Lab Arid Climat Change & Reducing Disaster Ga, Lanzhou 730000, Gansu, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, China Meteorol Adm,Key Lab Aerosol Cloud Precipit, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
4.Chinese Acad Sci, Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Mengla, Yunnan, Peoples R China
5.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China
6.Jiangxi Weather Modificat Off, Nanchang 330096, Jiangxi, Peoples R China
Recommended Citation
GB/T 7714
Ma, Yining,Xin, Jinyuan,Zhang, Wenyu,et al. Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia[J]. ATMOSPHERIC RESEARCH,2019,219:140, 152.
APA Ma, Yining.,Xin, Jinyuan.,Zhang, Wenyu.,Liu, Zirui.,Ma, Yongjing.,...&He, Zhiming.(2019).Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia.ATMOSPHERIC RESEARCH,219,140.
MLA Ma, Yining,et al."Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia".ATMOSPHERIC RESEARCH 219(2019):140.
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