Characteristics and provenance of dustfall during an unusual floating dust event

Lue, Y.L.; Liu, L.Y.; Hu, Xia; Wang, L.; Guo, Lanlan; Gao, Shangyu; Zhang, X.X.; Tang, Yuchen; Qu, Zhiqiang; Cao, Hongbin; Jia, Zhiqian; Xu, H.Y.; Yang, Yanyan

doi:10.1016/j.atmosenv.2010.06.027

Cited by 28 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There might be some variations in the amount of Fe content depending on the size fraction (Cao et al, 2008;Wu et al, 2011) and on the source area (Formenti et al, 2011). Nonetheless, the average Fe content obtained by Ura et al (2011) is consistent with the values reported for bulk Asian dust events in Korea (3.7 % at Seoul, Choi et al, 2001;4.2-8.4 % at Seoul, Jeong, 2008) and in China (3.9-4.1 % at Beijing, Feng et al, 2008;3.0-5.7 % at Beijing, Lue et al, 2010). In our sample treatment, both wet and dry deposition samples were washed with ultrapure water.…”

Section: Observation Sites Experiments and Meteorological Datasupporting

confidence: 80%

Wet and dry deposition of mineral dust particles in Japan: factors related to temporal variation and spatial distribution

et al. 2014

View full text Add to dashboard Cite

Abstract. Recent ground networks and satellite remotesensing observations have provided useful data related to spatial and vertical distributions of mineral dust particles in the atmosphere. However, measurements of temporal variations and spatial distributions of mineral dust deposition fluxes are limited in terms of their duration, location, and processes of deposition. To ascertain temporal variations and spatial distributions of mineral dust deposition using wet and dry processes, weekly deposition samples were obtained at Sapporo, Toyama, Nagoya, Tottori, Fukuoka, and Cape Hedo (Okinawa) in Japan during October 2008-December 2010 using automatic wet and dry separating samplers. Mineral dust weights in water-insoluble residue were estimated from Fe contents measured using an X-ray fluorescence analyser. Wet and dry deposition fluxes of mineral dusts were both high in spring and low in summer, showing similar seasonal variations to frequency of aeolian dust events (Kosa) in Japan. For wet deposition, highest and lowest annual dust fluxes were found at Toyama (9.6 g m −2 yr −1 ) and at Cape Hedo (1.7 g m −2 yr −1 ) as average values in 2009 and 2010. Higher wet deposition fluxes were observed at Toyama and Tottori, where frequent precipitation (> 60 % days per month) was observed during dusty seasons. For dry deposition among Toyama, Tottori, Fukuoka, and Cape Hedo, the highest and lowest annual dust fluxes were found respectively at Fukuoka (5.2 g m −2 yr −1 ) and at Cape Hedo (2.0 g m −2 yr −1 ) as average values in 2009 and 2010. The average ratio of wet and dry deposition fluxes was the highest at Toyama (3.3) and the lowest at Hedo (0.82), showing a larger contribution of the dry process at western sites, probably because of the distance from desert source regions and because of the effectiveness of the wet process in the dusty season.Size distributions of refractory dust particles were obtained using four-stage filtration: > 20, > 10, > 5, and > 1 µm diameter. Weight fractions of the sum of > 20 µ m and 10-20 µm (giant fraction) were higher than 50 % for most of the event samples. Irrespective of the deposition type, the giant dust fractions generally decreased with increasing distance from the source area, suggesting the selective depletion of larger giant particles during atmospheric transport. Based on temporal variations of PM c (2.5 < D < 10 µm), ground-based lidar, backward air trajectories, and vertical profiles of potential temperatures, transport processes of dust particles are discussed for events with high-deposition and low-deposition flux with high PM c . Low dry dust depositions with high PM c concentrations were observed under stronger (5 K km −1

show abstract

Section: Observation Sites Experiments and Meteorological Datasupporting

confidence: 80%

Wet and dry deposition of mineral dust particles in Japan: factors related to temporal variation and spatial distribution

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Sand-dust storms in spring [4], secondary aerosol generation O 3 , and PM 2.5 pollution in summer [31], agriculture biomass burning in autumn [32], and coal burning for winter heating [20] are the main drivers for seasonal air pollution events, whereas climatic conditions, such as high humidity and low wind speed, are key environmental factors [33]. Thus, we collected air pollution data, socioeconomic data, climatic data, and land use/cover data for the 69 cities in China based on data availability (Figure 1).…”

Section: Potential Socioeconomic Climatic and Urban Form Factorsmentioning

confidence: 99%

“…However, China's tremendous economic achievements have resulted in a number of environmental problems, including the deterioration of air quality [3][4][5][6]. Increased air pollution may lead to the cardiopulmonary morbidity and mortality of people, especially the young and elderly [1,7,8].…”

Section: Introductionmentioning

confidence: 99%

Disentangling the Complex Effects of Socioeconomic, Climatic, and Urban Form Factors on Air Pollution: A Case Study of China

Liu

2018

Sustainability

View full text Add to dashboard Cite

China's tremendous economic growth during the past three decades has resulted in worsening air quality in most of its cities. However, the spatiotemporal patterns and underlying drivers of air pollution in China remain poorly understood. To address this issue, we used stepwise regression to identify major socioeconomic, climatic, and urban form factors influencing air pollution in 69 major cities across China. Our results showed that social factors such as population size and density were positively correlated with emissions of PM 2.5 , PM 10 , NO x , and SO 2 . Economic factors such as Gross Domestic Product (GDP) and GDP of secondary industry were positively correlated with industry and transportation emissions but negatively correlated with residential emissions of air pollutants. Urban form attributes such as measures of urban fragmentation and contiguity were important in explaining patterns of emissions from residential, power generation, and transportation sectors. As for climatic factors, higher precipitation, higher wind speed, and higher temperatures were all negatively correlated with air pollution levels. We also found that the effects of socioeconomic, climatic, and urban from factors on air pollution levels varied considerably among seasons and between the annual and seasonal scales. Our findings have useful implications for urban planning and management for controlling air pollution in China and beyond.

show abstract

“…Due to large-scale atmospheric circulation and weather systems, the in uence of dust moves as the corresponding weather system moves, not only within the dust-source area, but for thousands to tens of thousands of kilometers, thereby affecting atmospheric environmental quality and ecological environments over exceedingly large areas. Indeed, such movement can dramatically increase the concentration of atmospheric particulate matter, causing different degrees of pollution along the route in which it travels (Lue et al, 2010;Liu et al, 2006;Zhao et al, 2008); such movement also in uences meteorological elements. The appearance of sandstorms has obvious seasonal changes (Littmann,1991), which is related to the seasonal distribution of annual precipitation (Yu et al,1993), vegetation cover, soil freezing, weather systems generating strong winds, and agricultural activities affecting the surface (Yu et al,1993).…”

Section: Introductionmentioning

confidence: 99%

Interannual and seasonal variations of sand-dust events in Tarim Basin, China

Jin

He²,

Li³

et al. 2021

Preprint

View full text Add to dashboard Cite

Dust events frequently occur in Tarim Basin (TB), China. However, research is scarce on the variation characteristics of sand–dust, floating dust, sand blowing, and sandstorms in the mountains, oases, and deserts in TB. Therefore, we conducted in–depth studies on the distributions and variations of dust events in TB. The results indicate that dust events tend to increase from south to north. The yearly sand–dust event occurrence rate trend is deserts > oases > mountainous regions. In spring, sand–dust, floating dust, sand blowing, and sandstorm days account for 35.9 %, 36.0 %, 38.5 %, and 47.1 % of the whole year, while in summer they account for 33.6 %, 33.5 %, 43.8 %, and 60.3 % of the whole year. From 1961 to 2015, most stations (annual average > 30 stations) showed a downward linear trend in sand dust, floating dust, sand blowing, and sandstorms in TB. All types of sand–dust events in mountains and oases decreased substantially after 1975 to 1978. In spring and summer, the downward dust trends are the most obvious, which the largest annual average downward linear trend rates of floating dust, sand blowing, and sandstorms are -0.33 d/yr (QM station), -0.21 d/yr (TGLK station), and -11 d/yr (KP station), respectively, in spring, and -0.28 d/yr (QM station), -0.17 d/yr (TGLK station), and -0.14 d/yr (KP station), respectively, in summer. It is found that the decreasing and increasing trends of floating dust are the most obvious during sand–dust events. There is a significant positive correlation between wind speed and relative humidity in mountains, and a significant positive correlation between wind speed in oases.

show abstract

Characteristics and provenance of dustfall during an unusual floating dust event

Cited by 28 publications

References 44 publications

Wet and dry deposition of mineral dust particles in Japan: factors related to temporal variation and spatial distribution

Wet and dry deposition of mineral dust particles in Japan: factors related to temporal variation and spatial distribution

Disentangling the Complex Effects of Socioeconomic, Climatic, and Urban Form Factors on Air Pollution: A Case Study of China

Interannual and seasonal variations of sand-dust events in Tarim Basin, China

Contact Info

Product

Resources

About