globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosres.2018.12.024
Scopus ID: 2-s2.0-85059509459
Title:
Long-term variations of the PM 2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia
Author: Ma Y.; Xin J.; Zhang W.; Liu Z.; Ma Y.; Kong L.; Wang Y.; Deng Y.; Lin S.; He Z.
Source Publication: Atmospheric Research
ISSN: 1698095
Publishing Year: 2019
Volume: 219
pages begin: 140
pages end: 152
Language: 英语
Keyword: Aerosol optical depth (AOD) ; Biomass burning ; MODIS ; PM 2.5 ; Southeast Asia ; The tropical rain forest
Scopus Keyword: Aerosols ; Drought ; Forestry ; NASA ; Radiometers ; Rain ; Tropics ; Aerosol optical depths ; Biomass-burning ; MODIS ; PM2.5 ; Southeast Asia ; Tropical rain forest ; Optical properties ; aerosol ; biomass burning ; concentration (composition) ; MODIS ; optical depth ; particulate matter ; rainforest ; seasonal variation ; Southeast Asia
English Abstract: 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 PM 2.5 concentration and the aerosol optical properties during 2012–2014 in the Xishuangbanna tropical rain forest. The annual mean values of the PM 2.5 , aerosol optical depth (AOD), and the Ångström exponent (α) were 34.3 ± 19.7 μg·m −3 , 0.54 ± 0.37, and 1.36 ± 0.20 in the dry season and 16.90 ± 5.08 μg·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 PM 2.5 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 PM 2.5 and MODIS AOD were developed and used to retrieve the spatial and temporal distributions of the PM 2.5 in the tropical rain forest over the last decade (2006–2015). The annual mean PM 2.5 increased slightly in the region. The range of the PM 2.5 was 20–40 μg·m −3 in the wet season and 25–80 μg·m −3 in the dry season. In northern Thailand, northern Vietnam and the central district of Laos, PM 2.5 was up to the range of 50–80 μg·m −3 , which was mainly attributed to biomass burning in these areas. © 2018 Elsevier B.V.
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Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/122317
Appears in Collections:气候变化事实与影响

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Affiliation: College of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou, 730000, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China; Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China; State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Science, Guangzhou, 510301, China; Jiangxi Weather Modification Office, Nanchang, 330096, China

Recommended Citation:
Ma Y.,Xin J.,Zhang W.,et al. Long-term variations of the PM 2.5 concentration identified by MODIS in the tropical rain forest, Southeast Asia[J]. Atmospheric Research,2019-01-01,219
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