Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.12.024 |
Long-term variations of the PM2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia | |
Ma, Yining1,2; Xin, Jinyuan2,3; Zhang, Wenyu1; Liu, Zirui2; Ma, Yongjing1,2; Kong, Lingbin1,2; Wang, Yuesi2; Deng, Yun4; Lin, Shuheng5; He, Zhiming6 | |
2019-05-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 219页码:140-152 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Aerosol 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. |
英文关键词 | PM2.5 Aerosol optical depth (AOD) MODIS Biomass burning The tropical rain forest Southeast Asia |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000457948900012 |
WOS关键词 | AEROSOL OPTICAL DEPTH ; IMAGING SPECTRORADIOMETER MODIS ; YANGTZE-RIVER DELTA ; EMPIRICAL RELATIONSHIP ; SOURCE APPORTIONMENT ; CHINA ; POLLUTION ; PRODUCTS ; XISHUANGBANNA ; VARIABILITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182565 |
专题 | 地球科学 |
作者单位 | 1.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 |
推荐引用方式 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,219,140-152. |
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):140-152. |
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