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Analysis and Case Study of Duststorms in the Beijing Area 总被引:4,自引:0,他引:4
Dust weather conditions with strong wind often occur in Beijing during spring. The number of duststorms in Beijing has declined since 1954. In the last two years, however, the number of duststorms in Beijing has increased drastically due to frequent cold air movements and the deteriorated ecological environment. The heaviest duststorm in the last decade in Beijing occurred on 6 April 2000. It was caused by the development of a high-level small trough along with strong northwest wind behind a large trough that moved eastward and developed a strong cold air system. A non-hydrostatic meso-scale numerical model (MM5) gave a good forecast to the duststorm's major features and movement. Simulated results showed that there was a strong vertical ascending motion with a strong positive vorticity center in mid and low level. The mesoscale structure's formation and development and movement were consistent with the passage and moving direction of the duststorm. At the same time, the trajectories of air particles during this duststorm event and another case (on 27 March 2000) were estimated and analyzed, which had the comparable results with the real situation and the trajectory monitored by meteorological satellite. The trajectories analysis could help us study the transport track and sand source to some extent. 相似文献
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We examined significant human risk factors in aircraft maintenance technicians (AMTs) in the airline industry. We conducted an empirical study of Taiwan’s airlines to determine these risk factors and to illustrate how a quantifiable evaluation approach integrates experts’ opinions about the relative importance of risk factors. We developed an expert questionnaire and modified the human factors SHELL model to categorize the risk factors that we derived from the literature and the opinions of 107 senior experts. The empirical results showed that there are nine significant risk factors out of 77 preliminary and 46 primary risk factors. The results also provided support for the approach and model presented in this work, demonstrating that they are both strategically effective and practically acceptable. Analyzing and ranking the significant risk factors for AMTs in this fashion may help airlines to better focus on their major operational and managerial weaknesses in order to improve maintenance operations under the condition of limited resources. 相似文献
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为了研究单次值法、日均值法、14时值法3种常用的霾日和轻雾(雾)日统计结果的异同,以环首都圈京津冀晋四省市为例进行了比较.华北地区霾日用3种方法统计的过去60余年霾日的区域分布表明,3种方法统计的霾日是单次值法>日均值法>14时值法,大致是1:0.54:0.45的关系,但区域分布趋势比较相似.典型城市霾日的长期变化趋势大都十分相似.而轻雾(雾)日的长期变化趋势表明,用单次值法统计的明显偏多,且有长期下降趋势;而用日均值法与14时值法统计的轻雾(雾)日无大差别,且没有明显的长期变化趋势,反映了年季和年代季的气候波动.从长期季节变化趋势来看,3种统计方法的结果除日数的差别外,季节分布特征比较类似.一个突出的特点是除去采暖季有较多的霾日外,在盛夏季节霾日也明显多,集中出现在6~9月,尤其是7~8月,与桑拿天同期出现,这与全国大部分城市的变化趋势完全不同.是华北地区的特有现象.用单次值法统计霾日,将包括所有的霾过程,即大范围持续时间长,且与一定天气系统与近地层扩散条件相关连的霾,及在稳定的晴朗夜间由于辐射降温,使相对湿度升高而导致能见度下降形成的霾.用日均值法,则可能更多的显示长时间大范围的霾天气过程;而使用14时法,则对早晚因湿度增加降低能见度出现的霾天气漏记,突出长时间大范围的霾天气过程. 相似文献
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