Mapping Sand-dust Storm Risk of the World

Author(s):  
Huimin Yang ◽  
Xingming Zhang ◽  
Fangyuan Zhao ◽  
Jing’ai Wang ◽  
Peijun Shi ◽  
...  
Keyword(s):  
2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Yonghua Xie ◽  
Yurong Liu ◽  
Qingqiu Fu

In view of the SVM classification for the imbalanced sand-dust storm data sets, this paper proposes a hybrid self-adaptive sampling method named SRU-AIBSMOTE algorithm. This method can adaptively adjust neighboring selection strategy based on the internal distribution of sample sets. It produces virtual minority class instances through randomized interpolation in the spherical space which consists of minority class instances and their neighbors. The random undersampling is also applied to undersample the majority class instances for removal of redundant data in the sample sets. The comparative experimental results on the real data sets from Yanchi and Tongxin districts in Ningxia of China show that the SRU-AIBSMOTE method can obtain better classification performance than some traditional classification methods.


2008 ◽  
Vol 8 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Y. Q. Yang ◽  
Q. Hou ◽  
C. H. Zhou ◽  
H. L. Liu ◽  
Y. Q. Wang ◽  
...  

Abstract. This paper introduces a definition of sand/dust storm process as a new standard and idea of sand/dust storm (SDS) groups a number of SDS-events in Northeast Asia. Based on the meteorological data from WMO/GOS network, 2456 Chinese surface stations and NCEP-NCAR reanalysis, the sand/dust storm processes in Northeast Asia in spring 2000–2006 are investigated. And the evolutions of anomalies of general circulation in the troposphere are analyzed by comparing the spring having most and least occurrences of SDS in year 2006 and 2003. Associated with the noticeably increased occurrence of SDS processes in spring 2006, the anomalies in 3-D structure of general circulation especially in the mid-and high latitudes of the Northen Hemisphere (NH) are revealed. The transition period from the winter of 2005 to spring 2006 has witnessed a fast-developed high center over the circumpolar vortex area in the upper troposphere, which pushes the polar vortex more southwards to mid-latitudes with a more extensive area over the east NH. In spring 2006, there are the significant circulation anomalies in the middle troposphere from the Baikal Lake to northern China with a stronger southward wind anomaly over Northeast Asia. Compared with a normal year, stronger meridional wind with a southward wind anomaly also in the lower troposphere prevail over the arid and semiarid regions in Mongolia and northern China during spring 2006. The positive anomalies of surface high pressure registered an abnormal high of 4–10 hPa in the Tamil Peninsular make a stronger cold air source for the repeated cold air outbreak across the desert areas in spring 2006 resulting in the most frequent SDS seasons in the last 10 years in Northeast Asia.


2013 ◽  
Vol 7 (1) ◽  
pp. 27-39
Author(s):  
J.R. Jiang ◽  
X.Y. Zhang ◽  
C.H. Zhou ◽  
H.L. Liu ◽  
X.B. Chi

2019 ◽  
Vol 12 (13) ◽  
Author(s):  
Yousef Nazzal ◽  
Alina Barbulescu ◽  
Fares Howari ◽  
Ahmad Yousef ◽  
Ahmed A. Al-Taani ◽  
...  

2021 ◽  
pp. 47-56
Author(s):  
Ali Al-Dousari ◽  
Noor Al-Dousari

AbstractA dust storm is meteorologically defined whenever visibility is less than 1,000 meters (Al-Kulaib 1990). Al-Dousari (2009) lists Kuwait as having one of the highest dust precipitation rates in the world. Safar (1980) states that the annual average number of dusty days due to dust storms or rising dust or suspended dust in Kuwait is 255.4. Forty-seven sampling sites representing all the geomorphological and sedimentological provinces in Kuwait were selected for the installation of dust traps to measure the average annual amount of deposited dust during 2009–2010 and 2010–2011 in tons.km-2.


2010 ◽  
Vol 30 (5) ◽  
pp. 1506-1510 ◽  
Author(s):  
孙贤明 Sun Xianming ◽  
王海华 Wang Haihua ◽  
刘万强 Liu Wanqiang ◽  
申晋 Shen Jin

2005 ◽  
Vol 15 (4) ◽  
pp. 431-438
Author(s):  
Song Yang ◽  
Quan Zhanjun ◽  
Liu Lianyou ◽  
Yan Ping ◽  
Cao Tong

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