Influence of a dust storm on young cotton plants in the Hetian region of northwest China

2003 ◽  
Author(s):  
Chunqiong Yuan ◽  
Qingyu Guo ◽  
A Aniwiar ◽  
Xiaoling Pan
Author(s):  
Wencai Wang ◽  
Jianping Huang ◽  
Tian Zhou ◽  
Jianrong Bi ◽  
Lei Lin ◽  
...  

2020 ◽  
Vol 238 ◽  
pp. 104892
Author(s):  
Lu Meng ◽  
Xinghua Yang ◽  
Tianliang Zhao ◽  
Qing He ◽  
Ali Mamtimin ◽  
...  

Atmosphere ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 281 ◽  
Author(s):  
Xiaoyu Li ◽  
Xiaodong Liu ◽  
Zhi-Yong Yin

Aerosols are an important factor affecting air quality. As the largest source of dust aerosol of East Asia, the Taklimakan Desert in Northwest China witnesses frequent dust storm events, which bring about significant impacts on the downstream air quality. However, the scope and timing of the impacts of Taklimakan dust events on Chinese urban air quality have not yet been fully investigated. In this paper, based on multi-source dust data including ground observations, satellite monitoring, and reanalysis products, as well as air quality index (AQI) and the mass concentrations of PM10 and PM2.5 at 367 urban stations in China for 2015, we examined the temporal and spatial characteristics of the impacts of the Taklimakan dust events on downstream urban air quality in China. The results show that the Taklimakan dust events severely affected the air quality of most cities in Northwest China including eastern Xinjiang, Hexi Corridor and Guanzhong Basin, and even northern Southwest China, leading to significant increases in mass concentrations of PM10 and PM2.5 in these cities correlating with the occurrence of dust events. The mass concentrations of PM10 on dust days increased by 11–173% compared with the non-dust days, while the mass concentration of PM2.5 increased by 21–172%. The increments of the mass concentrations of PM10 and PM2.5 on dust days decreased as the distances increased between the cities and the Taklimakan Desert. The influence of the Taklimakan dust events on the air quality in the downstream cities usually persisted for up to four days. The mass concentrations of PM10 and PM2.5 increased successively and the impact duration shortened gradually with increasing distances to the source area as a strong dust storm progressed toward the southeast from the Taklimakan Desert. The peaks of the PM10 concentrations in the downstream cities of eastern Xinjiang, the Hexi Corridor and the Guanzhong Basin occurred on the second, third and fourth days, respectively, after the initiation of the Taklimakan dust storm.


2011 ◽  
Vol 4 (6) ◽  
pp. 344-348 ◽  
Author(s):  
Ling Xiao-Lu ◽  
Guo Wei-Dong ◽  
Zhao Qian-Fei ◽  
Zhang Bei-Dou

Author(s):  
Lu MENG ◽  
Song GAO ◽  
Jie LI ◽  
Tian-liang ZHAO ◽  
Xing-hua YANG ◽  
...  

2021 ◽  
Vol 13 (6) ◽  
pp. 1056
Author(s):  
Lili Yang ◽  
Zhiyuan Hu ◽  
Zhongwei Huang ◽  
Lina Wang ◽  
Wenyu Han ◽  
...  

Dust storms have occurred frequently in northwest China and can dramatically reduce visibility and exacerbate air quality in downwind regions through long-range transport. In order to study the distribution characteristics of dust particles sizes, structures and concentrations in the process of dust storm, especially for the vertical distributions, the multi-observation platform composed of six Lidars and nine aerosol analytical instruments is first used to detect a severe dust storm event, which occurred in Northwest China on 3 May 2020. As a strong weather system process, the dust storm has achieved high intensity and wide range. When the intensity of a dust storm is at its strongest, the ratios of PM2.5 (particulate matter with diameter < 2.5 µm) and PM10 (particulate matter with diameter < 10 µm) (PM2.5/PM10) in cities examined were less than 0.2 and the extinction coefficients became greater than 1 km−1 based on Lidar observations. In addition, the growth rates of PM2.5 were higher than that of PM10. The dust particles mainly concentrated at heights of 2 km, after being transported about 200–300 km, vertical height increased by 1–2 km. Meanwhile, the dust concentration decreased markedly. Furthermore, the depolarization ratio showed that dust in the Tengger Desert was dominated by spherical particles. The linear relationships between 532 nm extinction coefficient and the concentration of PM2.5 and PM10 were found firstly and their R2 were 0.706 to 0.987. Our results could give more information for the physical schemes to simulate dust storms in specific models, which could improve the forecast of dust storms.


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