Aeolian dust in Central Asia: Spatial distribution and temporal variability

2020 ◽  
Vol 238 ◽  
pp. 117734 ◽  
Author(s):  
Xiao-Xiao Zhang ◽  
Candis Claiborn ◽  
Jia-Qiang Lei ◽  
Joseph Vaughan ◽  
Shi-Xin Wu ◽  
...  
2016 ◽  
Author(s):  
Xiao-Xiao Zhang ◽  
Brenton Sharratt ◽  
Xi Chen ◽  
Zi-Fa Wang ◽  
Lian-You Liu ◽  
...  

Abstract. Aeolian dust transport and deposition are important geophysical processes which influence global bio-geochemical cycles. Currently, reliable deposition data are scarce in central Asia. Located in the eastern part of central Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM10 (particulate matter ≤ 10 µm in aerodynamic diameter) concentration from 2000 to 2013 in Xinjiang Province. This variation was assessed using environmental monitoring records from 14 stations in the province. Over the 14 years, annual average dust deposition across stations in the province ranged from 255.7 to 421.4 t km−2. Annual dust deposition was greater in southern Xinjiang (663.6 t km−2) than northern (147.8 t km−2) and eastern Xinjiang (194.9 t km−2). Annual average PM10 concentration across stations in the province varied from 100 to 156 µg m−3 and was 70, 115 and 239 µg m−3 in northern, eastern and southern Xinjiang, respectively. The highest annual dust deposition (1394.1 t km−2) and ambient PM10 concentration (582 µg m−3) were observed in Hotan which is located in southern Xinjiang and at the southern boundary of the Taklamakan Desert. Dust deposition was more intense during the spring and summer than other seasons. PM10 was the main air pollutant that significantly influenced regional air quality. Annual average ambient PM10 concentration increased logarithmically with dust deposition (R2 ≥ 0.88). The arid climate likely influenced the high dust deposition and PM10 concentration in the region. While the annual average dust storm frequency remained unchanged from 2000 to 2013, there was a positive relationship between dust storm days and dust deposition and PM10 concentration across stations. This study suggests that sand storms are a major factor affecting the temporal variability and spatial distribution of dust deposition in central Asia.


2021 ◽  
Vol 12 (5) ◽  
pp. 101180
Author(s):  
Yue Li ◽  
Yougui Song ◽  
Dimitris G. Kaskaoutis ◽  
Jinbo Zan ◽  
Rustam Orozbaev ◽  
...  

2007 ◽  
Vol 41 (17) ◽  
pp. 5960-5966 ◽  
Author(s):  
Linda C. Roberts ◽  
Stephan J. Hug ◽  
Jessica Dittmar ◽  
Andreas Voegelin ◽  
Ganesh C. Saha ◽  
...  

2019 ◽  
Vol 33 (12) ◽  
pp. 1658-1669
Author(s):  
Huawu Wu ◽  
Jinglu Wu ◽  
Kadyrbek Sakiev ◽  
Jinzhao Liu ◽  
Jing Li ◽  
...  

1992 ◽  
Vol 109 (1) ◽  
pp. 38-53 ◽  
Author(s):  
Mariana Eneva ◽  
Michael W. Hamburger ◽  
Georgi A. Popandopulo

2004 ◽  
Vol 38 ◽  
pp. 101-105 ◽  
Author(s):  
Eli Alfnes ◽  
Liss M. Andreassen ◽  
Rune V. Engeset ◽  
Thomas Skaugen ◽  
Hans-Christian Udnæs

AbstractSnow-courses data have been collected in order to investigate the temporal variability of snow distribution in two catchments in southern Norway during the 2002 melt season. The profiles represent different elevations, aspects and terrain types. At snow maximum the spatial distribution of snow above the tree line was positively skewed (long tail in the positive direction), whereas the spatial distribution below the tree line followed a more normal distribution. During the snowmelt season the spatial distribution of snow became increasingly skewed. By separating the datasets into two terrain classes, alpine and forest, the snow distribution could be described by a time-variant gamma distribution function, one for each terrain class. The results of the study will be used to formulate a new snow routine in the Swedish rainfall–runoff model HBV, which is used for flood forecasting in Norway.


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