Transport of dusts from East Asian and non-East Asian sources to Hong Kong during dust storm related events 1996–2007

Lee, Y.C.; Yang, Xun; Wenig, Mark

doi:10.1016/j.atmosenv.2010.03.034

Cited by 70 publications

(31 citation statements)

References 39 publications

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“…4, it was obviously found that PM 10 , PM 2.5 and PM 2.5-10 presented good correlation coefficient with 0.92 and 0.95, respectively, which not only demonstrated that there were the same sources for PM 10 , PM 2.5 and PM 2.5-10 , but also revealed that DS impacted both these particles dramatically, especially for PM 10 and PM 2.5-10 . These results were similar with the researches of other coastal cites, such as Taiwan and Hong Kong (Lee et al, 2010), which implied that DS originated from northern or northwestern regions evidently influenced these coastal cities by long-range transport. In general, fine particle occupied much higher fraction of the PM 10 mass during normal days (Wang et al, 2009), which reached to 54% before and after DS in Xiamen.…”

Section: Resultssupporting

confidence: 81%

Chemical Characteristics of Particulate Matter during a Heavy Dust Episode in a Coastal City, Xiamen, 2010

Zhao

Zhang

et al. 2011

Aerosol Air Qual. Res.

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Xiamen, as a southeastern coastal city, is hardly affected by dust storms (DSs) sourced from the arid and semiarid areas in North or Northwestern China in spring. Unfortunately, during 21-23 March, 2010, the heaviest DS that had been recorded in past 50 years affected air quality seriously. Continuous particulate matter monitor was employed for the observation of PM 2.5 (aerodynamic diameter less than 2.5 μm) and PM 10 (aerodynamic diameter less than 10 μm) during 20-24 March 2010. Total suspended particulate (TSP) samples during this episode were also collected and their characteristics of element species and water-soluble ions were illustrated to characterize the heavy pollution in Xiamen. The DS peaked on 21 March, with the highest concentrations of 454.51 μg/m 3 and 990.24 μg/m 3 for PM 2.5 and PM 10 , respectively. The variations of ratio for PM 2.5 /PM 10 indicated that PM 10 was the main particles that were influenced by DS. The higher ratios (DS/Non dust days) of Al, Fe, Mg, Mn, and Ba were over 5.0, which are primarily from a soil. However, the ratios of Zn, V, As, Ti, and Cr, mainly from anthropogenic sources, had a range of 1.3 to 3.4. These results suggested that the soil-sourced species made more contribution to DS particles compared to the anthropogenic species. The mass fractions of water-soluble ions in TSP indicated that the concentrations of K + , Ca 2+ , Mg 2+ , F -, NO 2 -, and NO 3 -were evidently higher in DS samples than those of non-DS samples. The compositions of ions in dust aerosols showed that the multi-sources of aerosol were ubiquitous during the dust episode. The highest concentrations of sulfate and nitrate occurred in the day when dust ended in Xiamen, which demonstrated the formation of secondary pollutants from dust during the long-range transport, as well as from local environmental pollution.

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Section: Resultssupporting

confidence: 81%

Chemical Characteristics of Particulate Matter during a Heavy Dust Episode in a Coastal City, Xiamen, 2010

Zhao

Zhang

et al. 2011

Aerosol Air Qual. Res.

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“…In detail, both North America and Europe contribute to ground-level O 3 concentrations throughout the region, though the seasonality of these two sources varies. Based on aluminium and calcium concentrations in PM10, Lee et al [6] studied the transport of dusts from east Asian and noneast Asian sources to Hong Kong and found that dust events (96%) involve noneast Asian sources. Liu et al [7] studied the influence of Asian dust storms on air quality in Taiwan.…”

Section: Introductionmentioning

confidence: 99%

Seasonality and Dynamic Spatial Contagion of Air Pollution in 42 Chinese Cities

Sriboonchita

2013

The Scientific World Journal

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To monitor and improve the urban air quality, the Chinese government has begun to make many efforts, and the interregional cooperation to cut and improve air quality has been required. In this paper, we focus on the seasonality of the first and second moments of the daily air pollution indexes (APIs) of 42 Chinese sample cities over 10 years, from June 5, 2000 to March 4, 2010, and investigate the dynamic correlation of air pollution indexes (APIs) between 42 Chinese cities and their corresponding regional and national levels; comparison with the model without seasonal consideration is made. By adopting a DCC-GARCH model that accounts for the seasonality, we found that (i) the transformed DCC-GARCH model including seasonality dummies improves the estimation result in this study; (ii) the seasonality feature of the second moment follows that of the first moment, with the condition mean and variance of the second and autumn significantly lower than spring, whereas that of winter is higher than spring; (iii) the correlation between local APIs and their corresponding regional and national levels is dynamic; (iv) comparing with the DCC-GARCH model estimation, the transformed model does not change the feature of the dynamic correlations very much.

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“…Ample research has been conducted on the different underlying surfaces (Marshunova 1961;Zilitinkevich and Chalikov 1968;Lykosov and Gutman 1972;Zhang 1995;Kukharets et al 2000;Golitsyn et al 2004;Gorchakov et al 2004;Jin et al 2004;Zhong et al 2010) as well as on natural Gobi (Parungo 1996;Wang et al 1998Wang et al , 2009Qu et al 2001;Ishizuka et al 2005;Liang et al 2005;Hara et al 2006;Kaczenskya et al 2008;Pankova 2008;Zhang et al 2008;Lee et al 2010;Yu et al 2010). However, the artificial Gobi has not been sufficiently studied.…”

Section: Introductionmentioning

confidence: 99%

“…Research on the effects of local meteorology have mainly focus on air temperature (Marshunova 1961;Charney 1975;Chou et al 1981;Parungo 1996;Wang et al 1998;Bounoua et al 2002;Zeng et al 2002;Golitsyn et al 2004;Zhong et al 2010), ground temperature (Zhong et al 2010), relative humidity (Zhong et al 2010), solar radiation (Marshunova 1961;Parungo 1996;Kukharets et al 2000;Golitsyn et al 2004;Wang et al 2009;Wu et al 2010), atmospheric pressure (Wang et al 1998;Hara et al 2006;Kaczenskya et al 2008;Pankova 2008;Lee et al 2010;Yu et al 2010), and wind speed and direction (Ishizuka et al 2005;Zhang et al 2008;Zhong et al 2010). The dramatic variations in temperature and relative humidity around the grottoes might influence the air temperature inside the grottoes and surface temperature on the murals by heat transfer.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Microclimates in the Aeolian Sand Environment at the Mogao Grottoes, China

Li¹,

Qu²,

Li³

et al. 2013

Terr. Atmos. Ocean. Sci.

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To study the micro-meteorological effects of different underlying surfaces of structures to protect the Mogao Grottoes, we analyzed basic meteorological measurements collected at weather stations located in front of the grottoes, on top of the grottoes and in the artificial Gobi. The results show that the shelterbelts in front of the grottoes have a heat-retaining effect. The profile of average daily solar radiation in front of the grottoes forms a sharp peak and the profile in the Gobi forms a parabola, but these patterns vary in different seasons. The artificial Gobi was more susceptible to extremes in temperature and had a faster response and wider response range to ground temperature. The average monthly air temperature, average monthly relative humidity, and the average wind speed in the artificial Gobi tend to first decrease and then increase with measurement height.

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Transport of dusts from East Asian and non-East Asian sources to Hong Kong during dust storm related events 1996–2007

Cited by 70 publications

References 39 publications

Chemical Characteristics of Particulate Matter during a Heavy Dust Episode in a Coastal City, Xiamen, 2010

Chemical Characteristics of Particulate Matter during a Heavy Dust Episode in a Coastal City, Xiamen, 2010

Seasonality and Dynamic Spatial Contagion of Air Pollution in 42 Chinese Cities

The Effect of Microclimates in the Aeolian Sand Environment at the Mogao Grottoes, China

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