Characterizing a persistent Asian dust transport event: Optical properties and impact on air quality through the ground-based and satellite measurements over Nanjing, China

Han, Yong; Wu, Yonghua; Wang, Tijian; Xie, Chenbo; Zhao, Kun; Zhuang, Bingliang; Shu, Li

doi:10.1016/j.atmosenv.2015.05.048

Cited by 32 publications

(9 citation statements)

References 51 publications

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“…The SSAs on 3 June become much lower at 670–1020 nm than the ones on other days, indicating strong absorbing properties of aerosols. Particularly, they show a decreasing tendency from 440 to 1020 nm wavelength; this is much different from the increasing tendency that would be expected for dust aerosols [ Russell et al ., ; Han et al ., ].…”

Section: Resultsmentioning

confidence: 99%

An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality

Han

Voulgarakis

et al. 2017

JGR Atmospheres

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Agricultural biomass burning (ABB) has been of particular concern due to its influence on air quality and atmospheric radiation, as it produces large amounts of gaseous and aerosol emissions. This paper presents an integrated observation of a significant ABB episode in Nanjing, China, during early June 2011, using combined ground‐based and satellite sensors (Moderate Resolution Imaging Spectroradiometer, Atmospheric Infrared Sounder, Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), and Ozone Monitoring Instrument products). The time‐height distribution, optical properties, sources and transport of smoke, and its impacts on air quality are investigated. Lidar profiles indicate that the smoke aerosols are confined to the planetary boundary layer (PBL) and have a depolarization ratio of less than 0.08. The aerosol optical depths increase from 0.5 to 3.0 at 500 nm, while the extinction‐related Angstrom exponent increases from 1.1 to 1.6 at the wavelength pair of 440–870 nm. The single‐scattering albedo becomes lower at 670–1020 nm following the ABB intrusion and particularly shows a decreasing tendency between wavelengths of 440 to 1020 nm. The absorption Angstrom exponent (0.7) is smaller than 1.0, which may indicate the aged smoke particles mixed or coated with the urban aerosols. Surface particular matter PM10 and PM2.5 show a dramatic increase, reaching hourly mean of 800 µg/m3 and 485 µg/m3, respectively, which results in a heavy air pollution event. The stagnant and high‐moisture weather provides favorable conditions for the aerosols to accumulate near the surface. Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) also illustrate that the large‐scale aerosols are primarily present in the PBL and transported to the ocean, but some dense smoke plumes are misclassified as cloud or polluted dust. By comparing with the observations, we found that the Weather Research and Forecasting–Chemistry model captured the accumulation and downwind transport of surface PM2.5 from 20:00 on 2 June to 10:00 on 3 June (phase 1) but showed a dramatic underestimate from 20:00 on 3–4 June (phase 2) when dense aerosols are present. Such a discrepancy in the model is associated with the improper vertical apportion of transported smoke and atmospheric diffusion conditions when comparing with the observed aerosol and wind profiles. In addition, the model simulations indicate that the transported smoke can contribute to 50–70% of the ground‐level PM2.5 in Nanjing.

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Section: Resultsmentioning

confidence: 99%

An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality

Han

Voulgarakis

et al. 2017

JGR Atmospheres

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“…Only in the arid and semi-arid areas of NW, due to natural sources such as dust particles, is the ratio of PM 2.5 /PM 10 below 0.5. During spring (MAM), in the whole regions of NW and NC even most of NE over China, the PM 2.5 /PM 10 ratio is smaller than or near 0.5, which indicates significant contributions from local aeolian dust emission and regional dust transport [47]. During summer (JJA) and autumn (SON), the PM 2.5 /PM 10 ratio is generally large in southeast China and small in northwest China, but not as exaggerated as the high value in winter and the low value in spring, which represents lower anthropogenic emissions, better atmospheric diffusion conditions, and less wind-driven dust emissions in summer and autumn.…”

Section: Spatiotemporal Variations Of Aqi and Pm In Chinamentioning

confidence: 99%

Spatiotemporal Variations in Particulate Matter and Air Quality over China: National, Regional and Urban Scales

et al. 2020

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Ambient exposure to particulate matter (PM) air pollution is known to have an adverse effect on public health worldwide. Rapid increase rates of economic and urbanization, industrial development, and environmental change in China have exacerbated the occurrence of air pollution. This study examines the temporal and spatial distribution of PM on national, regional and local scales in China during 2014–2016. The relationships between the PM2.5 concentration rising rate (PMRR) and meteorological parameters (wind speed and wind direction) are discussed. The dataset of Air Quality Index (AQI), PM10 (PM diameter < 10 μm ) and PM2.5 (PM diameter < 2.5 μm) were collected in 169, 369, and 367 cities in 2014, 2015, and 2016 over China, respectively. The results show that the air quality has been generally improved on the national scale, but deteriorated locally in areas such as the Feiwei Plain. The northwest China (NW) and Beijing-Tianjin-Hebei (BTH) regions are the worst areas of PM pollution, which are mainly manifested by the excessive PM10 caused by blowing dust in spring in NW and the intensive emissions of PM2.5 in winter in BTH. With the classified seven geographic regions, we demonstrate the significant spatial difference and seasonal variation of PM concentration and PM2.5/PM10 ratio, which indicate different emission sources. Furthermore, the dynamic analysis of the PM2.5 pollution process in 11 large urban cities shows dramatic effects of wind speed and wind direction on the PM2.5 loadings.

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“…When the 24h-average PM2.5 is more than 250 mg*m -3 , the pollution becomes heavy level (Liu et al, 2018). PM10 with diameter less than 10 um, is used to characterize coarse particles, like dust (Han et al, 2015), smoke plume (Yang et al, 2010). Ambient air gaseous pollutant, like SO2, NO2, CO and O3, will produce sulfates and nitrates after a series of complex atmospheric chemical reactions.…”

Section: Beijing Meteorological Observatory and Lidarmentioning

confidence: 99%

“…Tao et al (2014) studied on formation process of urban pollution based on satellite and surface observations. Lidar has high spatial and temporal resolution capability and plays an increasingly important role in the detection of haze pollution (Han et al, 2015;Liu et al, 2018;Xie et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Characterization of Spring Air Pollution of Beijing in 2019 Using Active and Passive Remote Sensing Instruments

Tian

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. As the capital of China, the Beijing area needs to be paid special attention to its air quality. We used active remote sensing instrument (ground-based lidar), combined with passive remote sensing instrument (VIIRS onboard the NPP spacecraft), to study the serious pollution event over Beijing in spring of 2019. At the same time, the ground-based particulate matter (PM) data and the meteorological element data were analyzed. It is found that the ratio of concentrations of PM2.5 to PM10 is very large during the pollution period. The mean value of ratio is 0.75464, indicated it is fine particulate matter pollution. The Range correction signal (RCS) of lidar is very large in the layer below 0.5 km. But the volume depolarization ratio (VDR) is much less than 0.05. It indicated it is anthropogenic urban aerosols. The change in the aerosol optical depth (AOD) of VIIRS during pollution is consistent with the change in optical properties observed by lidar. The backward trajectory model of HYSPLIT shows that the pollutant came from the Hebei area where industrial pollution is serious, and the local meteorological conditions in Beijing are conducive to the continuous accumulation of pollutants. This work can deepen the understanding of the mechanism of haze formation and can help and support pollution prevention work.

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Characterizing a persistent Asian dust transport event: Optical properties and impact on air quality through the ground-based and satellite measurements over Nanjing, China

Cited by 32 publications

References 51 publications

An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality

An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality

Spatiotemporal Variations in Particulate Matter and Air Quality over China: National, Regional and Urban Scales

Characterization of Spring Air Pollution of Beijing in 2019 Using Active and Passive Remote Sensing Instruments

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