Characterization of Desert Road Dust Aerosol from Provinces of Afghanistan and Iraq

Dobrzhinsky, Nikolaj; Krugly, Edvinas; Kliučininkas, Linas; Prasauskas, Tadas; Kireitseu, Maksim; Zerrath, Axel; Martuzevičius, Dainius

doi:10.4209/aaqr.2012.05.0112

Cited by 9 publications

(12 citation statements)

References 22 publications

(17 reference statements)

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“…The total mass concentration ratio of south site to source site (1 meter height sampling) was about 1:3. And the particle mass size characteristics of Aeolian dust were distributed in a bimodal or a multimodal curve (Dobrzhinsky et al, 2012). The available evidence giving the same information with other studies, coarse particle with the size greater than 10 µm was the major effect upon source atmospheric or dust cloud, as the windblown dust condition (Neff et al, 2013).…”

Section: Horizontal and Vertical Characteristics Of Aeolian Dustsupporting

confidence: 71%

The Horizontal and Vertical Characteristics of Aeolian Dust from Riverbed

Syu

Cheng

Kao

et al. 2016

Aerosol Air Qual. Res.

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Arid riverbed is an important source of Aeolian dust to influence the atmosphere of nearby village or downtown. In general, Aeolian dust pertains to wind activity in the study of geology, environment and meteorology on particle suspension. This field study set the horizontal/vertical sampling system up in order to investigate the Aeolian dust dimensional distribution properties from the riverbed of the Jhuoshuei River. In addition, the study utilized the unmanned aerial vehicle (UAV) imagery to discriminate the covering condition of riverbed. The results revealed that the percentage of riverbed covering conditions, including bare zone, wetlands, green covering and water covering was about 50.1, 15.7, 16.8 and 17.4%, respectively, on January 5 th , 2011. Two Aeolian dust cases from riverbed were measured on November 26 th , 2010 and January 15 th , 2011. First sampling case was under slower wind speed, and the total particulate matter (PM) concentration in vertical sampling was almost decreased with increasing sampling height, however, the phenomena of second case (faster wind speed) was just on the contrary. Besides, Aeolian dust was distributed in a bimodal or a multimodal curve, and the main peak size was above 10 µm. Mode size of suspension particle diameter was increased as the wind speed increased (14.8 µm/ first case; 21.3 µm/ second case). The total mass concentration ratio of south site to source site (one meter height) was about 1:9 in first case and about 1:3 in second case. Comparing with those two cases, the faster the wind is, the shorter the surface roughness height is (3.08 mm/ first case; 1.07 mm/ second case). Besides, as the wind speed increasing, the friction velocity was also increased (0.33 m s -1 / first case; 0.68 m s -1 / second case). Consequently, this study clued the spatial variability of river dust events, which can further aid the site investigating, forecasting and preventing of dust influences.

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Section: Horizontal and Vertical Characteristics Of Aeolian Dustsupporting

confidence: 71%

The Horizontal and Vertical Characteristics of Aeolian Dust from Riverbed

Syu

Cheng

Kao

et al. 2016

Aerosol Air Qual. Res.

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“…In addition, long-rang transport, such as through sandstorms, is important for increasing the particle mass concentration during spring, especially for coarse particles. Though particulate data associated with sandstorm events was excluded from the analyses, deposited dust resuspension after intensive sandstorm events cannot be ignored (Dobrzhinsky et al 2012). Compared with non-dust days, PM 10 mass concentration increases due to dust storms in spring were calculated at 17.2 (2004), 55.2 (2006), 8.3 (2008), 18.2 (2010), 14.9 (2011), and 43.4 (2012)μg/m 3 , respectively.…”

Section: Seasonal Pm Variationmentioning

confidence: 99%

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Liu

Wang

et al. 2014

Environ Sci Pollut Res

208

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Air pollution has become a top environmental concern in China. In the present study, 9 years of PM10 and PM2.5 data from an urban monitoring station in Beijing was analyzed relative to other gaseous pollutants and several meteorological parameters. The levels and characteristics of particulate matters as well as the sources and factors affecting them were provided in the present study. During the 9-year observation period, PM10 and PM2.5 showed high levels, with annual mean values of 138.5 ± 92.9 and 72.3 ± 54.4 μg/m(3), respectively. Slight decreasing trends of annual mean PM10 and PM2.5 were observed; autumn was the main season that contributed to the decrease in annual mean PM10 and PM2.5. Higher values for both PM fractions were generally observed in the spring and summer months, respectively, whereas lower values were found in the summer and spring months, respectively. Pronounced diurnal variations were found for PM10 and PM2.5, which both displayed a bimodal pattern with peaks between 7:00 and 8:00 a.m. as well as 7:00 and 11:00 p.m.; a minimum generally appeared at approximately noon. The seasonal and diurnal variations in particulate concentration are mostly dominated by the seasonal and diurnal variability of boundary layer and source emissions. A principal components analysis revealed that both the traffic-related emissions and combustion sources were major contributions to the particles; their contributions ranged between 35.5-75.1%. Furthermore, a directional analysis shows a stronger association between particles and the southerly winds, the PM derived from sources south of Beijing, most likely secondary PM, significantly affects concentrations at the sampling site. To improve air quality in Beijing, mitigation measures including phasing out high energy-consuming industries and prioritize the use of clean energy sources should be designed to reduce emissions from both local and regional sources.

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“…Resuspended desert dust is an important air pollutant in both local and transboundary levels (Dobrzhinsky et al, 2012). Atmospheric particulate matter (PM) characterizes the atmospheric air quality (Vernile et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Source Analysis of Trace Metal Pollution Received at Harbor, Airport and Farmland Locations in Central Taiwan

Fang

Kuo

Zhuang

2015

Aerosol Air Qual. Res.

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Measured concentrations of five metallic elements (Cr, Cu, Zn, Cd and Pb) during August 2013 to July 2014 at three sites in central Taiwan were analyzed for identifying source regions and seasonal and site variations. Air mass backward trajectory analysis suggested that pollution sources were mainly from southern Taiwan and Philippine seashore areas during the spring and summer, from Korea, Japan and Hainan during the fall, and from northern China and Hong Kong during the winter. Biomass burning activities in south East Asia in spring were believed to have contributed a significant amount to the measured high elements concentrations. Two-way Analysis of variance was conducted to identify the significance of differences in measured elements concentrations between element species, season and sites. Significant differences between elements were identified at all the three sites with exceptions for Cr and Pb at the Airport site. Season differences were significant at two of the three sites; but site to site differences were found to be insignificant. The elements pollution levels in central Taiwan were in medium to high ranges in East Asia.

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Characterization of Desert Road Dust Aerosol from Provinces of Afghanistan and Iraq

Cited by 9 publications

References 22 publications

The Horizontal and Vertical Characteristics of Aeolian Dust from Riverbed

The Horizontal and Vertical Characteristics of Aeolian Dust from Riverbed

Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study

Source Analysis of Trace Metal Pollution Received at Harbor, Airport and Farmland Locations in Central Taiwan

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