Environmentally dependent dust chemistry of a super Asian dust storm in March 2010: observation and simulation

Wang, Qiongzhen; Dong, Xinyi; Fu, Joshua S.; Xu, Jian; Deng, Congrui; Jiang, Yilun; Fu, Qingyan; Lin, Yanfen; Huang, Kan; Zhuang, Guoshun

doi:10.5194/acp-18-3505-2018

Cited by 29 publications

(16 citation statements)

References 65 publications

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“…1a), over the period from 21 March to 2 June 2017. The area was selected since it lies within a dusty belt in the Hexi Corridor (Wang et al, 2018), which is mainly affected by the Mongolian cyclones (and probably by the cold downdrafts from thunderstorms/squall) during the observational period and is therefore frequently 110 subjected to dust events (Shao, 2000;Williams et al, 2009). At the Qingtu Lake Observational Array (QLOA) site, there is a prevailing wind direction, along with a straight (Fig.…”

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confidence: 99%

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

Zhang¹,

Zheng²

2018

Preprint

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Dust/sand electrification, which is a ubiquitous phenomenon in dust events, has a potentially dramatic effect on dust/sand lifting and transport processes. However, the 15 effect of such electrification is still largely unclear, mainly due to its complexity and sparse observations. Here, we conducted an extensive observational analysis involving mild and severe dust storms with minimum visibility, ranging from ~0.09 to 0.93 km, to assess the electrical properties of airborne dust particles in dust storms. The space charge density has been estimated indirectly based on Gauss's law. Using the wavelet coherence analysis 20 that is a method for evaluating the correlations between two non-stationary time series in the time-frequency domain, we found that the space charge density and dust concentration were significantly correlated over the 10 min timescales that is on the order of the typical integral time scale of atmospheric turbulence. We further presented a simple linear regression (SLR) model to quantify such large timescale correlations and 25 found that there was a significant linear relationship between space charge density and dust concentration at given ambient temperature and relative humidity (RH), suggesting that the estimated mean charge-to-mass ratio of dust particles was expected to remain constant (termed as the equilibrium value * ). nn addition, the influences of ambient temperature and RH on * were evaluated by a multiple linear regression (MLR) model,

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confidence: 99%

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

Zhang¹,

Zheng²

2018

Preprint

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“…The opposite trend between the PBL AOD and dust AOD probably suggested the dilution effect of dust on the local anthropogenic aerosols. This phenomenon has been frequently observed in Taiwan, mainland China, and elsewhere (Chuang et al, ; Wang et al, ). After 12 UTC, AOD within the PBL gradually increased, likely due to the shallow boundary layer at night.…”

Section: Resultsmentioning

confidence: 67%

“…PM 10 concentrations (based on the beta attenuation principle) in 86 Chinese cities were derived from air pollution index via the data center of Ministry of Environmental Protection of China (http://datacenter.mee.gov.cn/websjzx/dataproduct/resourceproduct/queryResourceList.vm?rocde=). Conversion from air pollution index to PM 10 was explicitly described in Wang et al (). In addition, PM 10 concentrations in some other Asian countries can be obtained via various sources.…”

Section: Methodsmentioning

confidence: 99%

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Superposition of Gobi Dust and Southeast Asian Biomass Burning: The Effect of Multisource Long‐Range Transport on Aerosol Optical Properties and Regional Meteorology Modification

Huang

Lin

et al. 2019

JGR Atmospheres

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One unique long‐range transport event with multiple layers of aerosol plumes was observed over Taiwan during 29–31 March 2006. A synergy of ground‐based observation, remote sensing, and backward trajectory simulation collectively indicated the high‐altitude (above 3 km) plume originated from biomass burning in Southeast Asia while the midaltitude (around 0.8–2 km) plume was attributed to dust from the Gobi Desert. Aerosol optical properties measured at a low‐altitude site were characterized of abundant coarse mode particles and increased single scattering albedo as a function of increased wavelength, indicating the influence from dust particles. While at a high mountain site (elevation of ~3 km), aerosol optical depth was elevated by a factor of 3–4 compared to its background value and mainly comprised of fine particles. It was diagnosed that the high‐altitude aerosols were influenced by the transported smoke plumes but exempted from dust. Simulation of the meteorological conditions against a Taiwan‐wide meteorology network showed strong near surface temperature rise of more than 2° during this long‐range transport event as well as for the vertical temperature profiles. Both dust and biomass burning aerosol plumes via long‐range transport contributed significantly to the atmospheric warming, resulting in strong instantaneous aerosol radiative forcing of 46.0 W/m2 in the atmosphere. A “double dome” warming effect mechanism was proposed that both biomass burning and dust plumes above the boundary layer could efficiently reserve the solar energy and heat the lower troposphere.

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“…The Morlet wavelet (with ω 0 = 6) is used to perform the continuous wavelet transforms W X and W Y . The squared wavelet coherence R 2 (n, s) ranges from 0 to 1 and can be thought of as a localized correlation coefficient between two time series in time and frequency space (Grinsted et al, 2004;Holman et al, 2011;Wang et al, 2017). A Matlab toolbox for wavelet coherence analysis can be found at http://noc.ac.uk/ using-science/crosswavelet-wavelet-coherence (last access: 21 November 2018; Grinsted et al, 2004;Wang et al, 2017).…”

Section: Wavelet Coherence Analysismentioning

confidence: 99%

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

Zhang

Zheng

2018

Atmos. Chem. Phys.

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Abstract. Dust and sand electrification, which is a ubiquitous phenomenon in dust events, has a potentially dramatic effect on dust and sand lifting and transport processes. However, the effect of such electrification is still largely unclear, mainly due to its complexity and sparse observations. Here, we conducted an extensive observational analysis involving mild and severe dust storms with minimum visibility, ranging from ∼0.09 to 0.93 km, to assess the electrical properties of airborne dust particles in dust storms. The space charge density has been estimated indirectly based on Gauss's law. Using the wavelet coherence analysis that is a method for evaluating the correlations between two non-stationary time series in the time–frequency domain, we found that the space charge density and dust concentration were significantly correlated over the 10 min timescales (on the order of the typical integral timescale of atmospheric turbulence). We further presented a simple linear regression (SLR) model to quantify such large timescale correlations and found that there was a significant linear relationship between space charge density and dust concentration at given ambient temperature and relative humidity (RH), suggesting that the estimated mean charge-to-mass ratio of dust particles was expected to remain constant (termed as the equilibrium value μ∗). In addition, the influences of ambient temperature and RH on μ∗ were evaluated by a multiple linear regression (MLR) model, showing that the μ∗ is nonlinearly related to environmental factors. The present study provides observational evidence for the environmental-dependent electrification equilibrium effects in dust storms. This finding may reduce challenges in future quantifications of dust electrification, as it is possible to exclude effects, such as the particles' collisional dynamics, on dust electrification.

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Environmentally dependent dust chemistry of a super Asian dust storm in March 2010: observation and simulation

Cited by 29 publications

References 65 publications

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

Superposition of Gobi Dust and Southeast Asian Biomass Burning: The Effect of Multisource Long‐Range Transport on Aerosol Optical Properties and Regional Meteorology Modification

Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory

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