Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model

Mukai, Sonoyo; Yasumoto, Masayoshi; Nakata, Makiko

doi:10.1155/2014/649648

Cited by 18 publications

(10 citation statements)

References 35 publications

(36 reference statements)

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“…Mukai et al (2012) and Mukai, Yasumoto, and Nakata (2014) propose that aerosol retrieval in the hazy atmosphere is achieved based on radiation simulation method of successive order of scattering (MSOS). They have shown that MSOS is available for such dense aerosol episodes as yellow sand storms or biomass burning plumes.…”

Section: Aerosol Remote Sensingmentioning

confidence: 99%

Aerosol and Air Quality

Fuzzi

Gilardoni

Kokhanovsky

et al. 2016

Atmospheric Aerosols

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Section: Aerosol Remote Sensingmentioning

confidence: 99%

Aerosol and Air Quality

Fuzzi

Gilardoni

Kokhanovsky

et al. 2016

Atmospheric Aerosols

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“…Our previous work has dealt with the aerosol retrieval in a case of severe air pollution detected with Aqua/MODIS data by using our MSOS-computing code. It was found that air pollution around Beijing in June of 2010 is mainly due to increased emissions of anthropogenic aerosols, and that carbonaceous aerosols transported from agriculture biomass burning in Southeast Asia also contribute to the pollution 13 . In that case, the values of albedo for single scattering ω took less than 0.92, and hence the convergence of summing up of the nth-order reflection function R * (n: Ω, Ω 0 ) in Eq.…”

Section: Radistive Transfer Problemmentioning

confidence: 99%

Air pollutant retrieval in East Asia from space and ground: algorithm improvement

2014

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This work intends to develop an efficient algorithm for aerosol retrieval in haze episodes. The increasing emissions of anthropogenic particles provide the serious air pollutants. Although extreme concentrations of aerosols in the atmosphere can prevent aerosol monitoring with surface-level sun/sky photometers, satellites can still be used in such conditions to observe the Earth's atmosphere from space. It is known that the precise simulation of multiple light-scattering processes within the atmosphere is necessary for aerosol remote sensing and needs a long computational time especially in such an optically thick atmosphere as during an aerosol episode. Accordingly efficient and practical algorithms for radiation simulations are indispensable to retrieve particle characteristics in a case of serious air pollution.

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“…In China, agricultural fires mostly occurred in central and north China in early/late June and October. In recent years, crop residue burning often induced serious air pollution in east China and drew increasing attention from public and scientific community (Yang et al, 2008;Li et al, 2010;Tao et al, 2013;Mukai et al, 2014;Long et al, 2016;Yao et al, 2016). A detailed agricultural open fire emission inventory over China with a spatial resolution of 1 km and temporal resolution of 10 days was developed by Huang et al (2012), with the estimated annual emission of PM 2.5 being 0.27 Tg yr -1 .…”

Section: Introductionmentioning

confidence: 99%

A Modeling Study of the Impact of Crop Residue Burning on PM2.5 Concentration in Beijing and Tianjin during a Severe Autumn Haze Event

Zhou

Han

Liu

et al. 2018

Aerosol Air Qual. Res.

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Crop residue burning is one of the important types of biomass burning in China and has potentially important effect on air quality and climate. A coupled meteorology and aerosol/chemistry model (WRF-Chem) with ground and satellite observations and biomass burning emission inventory were applied to investigate the spatial/temporal distribution and transport pathways of air pollutants and to quantify the contribution of crop residue burning to aerosol concentration in the North China Plain, with focus on Beijing and Tianjin during a severe haze episode on 7-11 October 2014, when the daily mean surface PM 2.5 concentration in Beijing reached 317 µg m -3 . During this period, intensive crop fires were detected over wide areas of eastern Henan, southern Hebei and western Shandong, and the crop residue burning emission was much larger than anthropogenic emission in major fire areas. Model comparison with ground observations demonstrated the WRF-Chem was able to generally reproduce surface meteorological variables and PM 2.5 concentration, although it tended to overpredict wind speed and aerosol concentration in some locations. Taking crop residue burning into account can apparently improve PM 2.5 prediction during the haze episode. The stagnant weather condition favored haze formation and maintenance in this region, and crop residue burning intensified haze pollution in both fire source and downwind regions. The crop residue burning emission on average contributed 19% to surface PM 2.5 concentration in Beijing during the haze episode, in which it contributed 40% and 29% to organic carbon aerosol and primary PM 2.5 , respectively, and less to black carbon aerosol (4.9%). The impact of crop residue burning in Tianjin was smaller than that in Beijing, with an average contribution of 7.4% due to different fire sources and transport pathways.

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Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model

Cited by 18 publications

References 35 publications

Aerosol and Air Quality

Aerosol and Air Quality

Air pollutant retrieval in East Asia from space and ground: algorithm improvement

A Modeling Study of the Impact of Crop Residue Burning on PM2.5 Concentration in Beijing and Tianjin during a Severe Autumn Haze Event

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