Dust Aerosols Detected Using a Ground-Based Polarization Lidar and CALIPSO over Wuhan (30.5°N, 114.4°E), China

He, Yeping; Fan, Yanguo

doi:10.1155/2015/536762

Cited by 35 publications

(24 citation statements)

References 59 publications

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“…reason why the color ratio of transported anthropogenic dust is greater than that of pure dust is that the dust is mixed with smoke or anthropogenic aerosols during its transport, causing slight growth of the mixed aerosol. In the source regions, the color ratios of dust particles are between 0.7-1.0 (Huang et al, 2007;He et al, 2015). Huang et al (2007) found the mean color ratio of the frequently observed dust aerosols at heights of 4-7 km over the Tibet Plateau in the summer to be 0.83.…”

Section: Comparison Of the Optical Properties Of Two Types Of Dustmentioning

confidence: 99%

Comparison of the optical properties of pure and transported anthropogenic dusts measured by ground-based Lidar

Zhang

Chen

Huang

et al. 2017

Preprint

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In this study, the optical properties of pure dust (PDU) and transported anthropogenic dust (TDU) (also defined as polluted dust) are compared by using ground-based Lidar data for the period from October 2009 to June 2013. The total attenuated backscattering coefficient at 532&thinsp;nm, the linear volume depolarization ratio and the color ratio are derived from the L2S-SM-II dual-band polarization Lidar. We found that the TDU has a spherical shape, a small linear volume depolarization ratio and a large color ratio which representing its large particle sizes. The threshold value delineating PDU and TDU was approximately 0.2, which is the same as the threshold value used in the CALIPSO CAD algorithm. The histogram of the attenuated backscattering coefficients and the color ratios of pure dust shows two peaks, but that for the transported anthropogenic dust shows no significant peak and a nearly uniform distribution. The ground-based Lidar results confirm that both the transported anthropogenic dust and pure dust can be detected by air-borne or ground-based Lidar measurements.

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Section: Comparison Of the Optical Properties Of Two Types Of Dustmentioning

confidence: 99%

Comparison of the optical properties of pure and transported anthropogenic dusts measured by ground-based Lidar

Zhang

Chen

Huang

et al. 2017

Preprint

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“…7e-h). The low dust depolarization ratio values observed over the densely populated and highly industrialized regions suggest the occurrence of a mixture of non-spherical aerosols with particles of anthropogenic origin (Heese and Wiegner, 2008). Conversely to the aerosol layers close to the urban or industrial regions, the elevated layers over China and India are characterized by intermedi-E. Proestakis et al: Nine-year spatial and temporal evolution of desert dust aerosols ate dust depolarization ratio values, from about 15 to 25 %.…”

Section: Conditional Dust Extinction Coefficientmentioning

confidence: 99%

9-year spatial and temporal evolution of desert dust aerosols over South-East Asia as revealed by CALIOP

Proestakis¹,

Amiridis²,

Marinou³

et al. 2017

Preprint

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<p><strong>Abstract.</strong> We present a 3-D climatology of the desert dust distribution over South-East Asia derived using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) data. To distinguish desert dust from total aerosol load we apply a methodology developed in the framework of EARLINET (European Aerosol Research Lidar Network), the particle linear depolarization ratio and updated lidar ratio values suitable for Asian dust, on multiyear CALIPSO observations (01/2007&#8211;12/2015). The resulting dust product provides information on the horizontal and vertical distribution of dust aerosols over SE (South-East) Asia along with the seasonal transition of dust transport pathways. Persistent high D_AOD (Dust Aerosol Optical Depth) values, of the order of 0.6, are present over the arid and semi-arid desert regions. Dust aerosol transport (range, height and intensity) is subject to high seasonality, with highest values observed during spring for northern China (Taklimakan/Gobi deserts) and during summer over the Indian subcontinent (Thar Desert). Additionally we decompose the CALIPSO AOD (Aerosol Optical Depth) into dust and non-dust aerosol components to reveal the non-dust AOD over the highly industrialized and densely populated regions of SE Asia, where the non-dust aerosols yield AOD values of the order of 0.5. Furthermore, the CALIPSO-based short-term AOD and D_AOD time series and trends between 01/2007 and 12/2015 are calculated over SE Asia and over selected sub-regions. Positive trends are observed over northwest and east China and the Indian subcontinent, whereas over southeast China are mostly negative. The calculated AOD trends agree well with the trends derived from Aqua/MODIS (Moderate Resolution Imaging Spectroradiometer), although significant differences are observed over specific regions.</p>

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“…The reason why we could use VDR to discriminate pure dust and polluted dust aerosol is that dust mixes with smoke or other anthropogenic aerosols during transport, which makes the mixed aerosol nearly spherical. For example, dust particles can be fully mixed with inorganic salt (Fan et al, ; Shen et al, ; Sun et al, ); pollution elements such as Se, Ni, Pb, Br, Cu (Zhang et al, ); black carbon (Kim et al, ); VOCs; (volatile organic compounds) and polyaromatic hydrocarbon during long‐range transport (He & Yi, ).…”

Section: Comparison Of the Optical Properties Of Two Types Of Dustmentioning

confidence: 99%

“…When the CR was larger than 0.8, it was mostly pure dust. In the source regions, the CR values of dust particles were between 0.7 and 1.0 (He & Yi, 2015;.…”

Section: 1029/2018jd028957mentioning

confidence: 99%

Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data

et al. 2019

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Mineral dust is a dominant aerosol type in northwestern China and can mix with other air pollutants during its long‐range transport, playing an important role in Earth's energy budget and hydrological cycle on both regional and global scales. In this study, the optical properties of pure dust and polluted dust were compared by using ground‐based lidar and sun photometer data at SACOL (Semi‐Arid Climate and Environment Observatory of Lanzhou University) from August 2009 to August 2012. The total attenuated backscattering coefficient at 532 nm, the volume depolarization ratio (VDR) and the color ratio (CR) derived from the L2S‐SM‐II dual‐band polarization lidar and aerosol optical depth (AOD) and Angstrom exponent from sun photometer data were used to identify pure dust and polluted dust. The results showed that AOD at 440 nm of pure dust was widely distributed within the range of 0.4–1.1 but the AOD of polluted dust was generally less than 0.6. The frequency distribution of VDR showed that the mean value of pure dust was greater than that of polluted dust and the peak values were 0.31 and 0.21, respectively. The frequency distribution of CR showed that the mean value of pure dust was larger than that of polluted dust, and it was mostly pure dust aerosol when color ratio was greater than 0.8. The VDR showed a positive correlation with CR. Using the frequency distribution of VDR, a threshold value of 0.25 was proposed to differentiate pure dust from polluted dust. The rates of misclassification were 20.7% and 18.6% for pure dust and polluted dust, respectively. This work will be helpful for the classification of aerosol types in satellite observations and numerical modeling.

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Dust Aerosols Detected Using a Ground-Based Polarization Lidar and CALIPSO over Wuhan (30.5°N, 114.4°E), China

Cited by 35 publications

References 59 publications

Comparison of the optical properties of pure and transported anthropogenic dusts measured by ground-based Lidar

Comparison of the optical properties of pure and transported anthropogenic dusts measured by ground-based Lidar

9-year spatial and temporal evolution of desert dust aerosols over South-East Asia as revealed by CALIOP

Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data

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