| 基于复杂网络模型的沙尘天气空间交互影响研究-以雅鲁藏布江中游为例 |
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| 引用本文： | 拉珍,白玛央宗,沈才生,格桑丹增,德庆卓嘎.基于复杂网络模型的沙尘天气空间交互影响研究-以雅鲁藏布江中游为例[J].新疆气象,2024,18(3):136-142. |
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| 作者姓名： | 拉珍 白玛央宗 沈才生 格桑丹增 德庆卓嘎 |
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| 基金项目： | 第二次青藏高原综合科考项目(2019QZKK0604)；国家自然科学(42065008)；西藏自治区科学技术协会项目“雅江流域沙尘天气的空间联动及动态交互影响定量分析” |
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| 摘 要： | 沙尘天气是雅鲁藏布江中游最主要的灾害，然而对该地区沙尘物质的传输过程及影响范围并不明确。利用2017-2020年冬春季（10月—次年4月）雅鲁藏布江中游的15个气象站逐小时最低能见度数据，采用转移熵方法构建区域沙尘传输矩阵，基于复杂网络理论分析沙尘天气的空间传输及交互影响特征。结果表明，1）雅鲁藏布江中游沙尘天气系统是一个稳健性网络，站点之间的沙尘天气互相影响，说明沙尘可以跨区域输送。2）申扎、南木林和尼木处于沙尘天气空间关联网络的核心，说明这三个地区是研究区的主要沙尘分布区；拉萨和墨竹工卡沙尘天气受其他站点影响程度最小。3）研究区沙尘天气影响时间短。沙尘持续时间以1小时为主，说明以局地起沙为主；3小时持续时间次之，说明个站点之间相互传输；6小时持续时间最少，说明沙尘不能长时间输送。综上所述，雅鲁藏布江中游沙尘天气即有局地供应，又有区域传输，各站点之间相互影响，形成复杂的空间交互网络。因此，为了减少研究区沙尘灾害的影响，应该立足于全面协调协作进行治理。
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| 关 键 词： | 复杂网络 雅鲁藏布江 沙尘天气 空间传输 |
| 收稿时间： | 2023/4/7 0:00:00 |
| 修稿时间： | 2023/9/17 0:00:00 |
Research on Spatial Interaction of Dust Weather Influences based on Complex Network Model - A Case Study of the Middle Reaches of the Yarlung Zangbo River |
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| LaZhen,Baima Yangzong,Shen Caisheng,Gesang Danzeng and Deqing Zhuoga.Research on Spatial Interaction of Dust Weather Influences based on Complex Network Model - A Case Study of the Middle Reaches of the Yarlung Zangbo River[J].Bimonthly of Xinjiang Meteorology,2024,18(3):136-142. |
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| Authors: | LaZhen Baima Yangzong Shen Caisheng Gesang Danzeng and Deqing Zhuoga |
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| Institution: | TibetClimateCenter,Lhasa,TibetClimateCenter,Lhasa,TibetClimateCenter,Lhasa,Tibet Institute of Plateau Atmospheric and Environmental Science,Lhasa,Tibet Institute of Plateau Atmospheric and Environmental Science,Lhasa |
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| Abstract: | Dust weather is the most significant disaster in the middle reaches of the Yarlung Zangbo River. However, the transmission process and impact range of dust particles in this area are not clear. Using the hourly minimum visibility data from 15 meteorological stations along the middle reaches of the Yarlung Zangbo River during the winter and spring seasons from 2017 to 2020 (October to April of the following year), the regional dust transport matrix is constructed using the transfer entropy method. Based on the theory of complex networks, the spatial transport and interactive impact characteristics of dust weather are analyzed. The results indicate that 1) The dust weather system within the mid-reaches of the Yarlung Zangbo River represents a resilient network. Weather stations exhibit mutual influences concerning dust events, which implies potential inter-regional dust transmission. 2) Shenzha, Nanmulin, and Nimu emerge as pivotal nodes in the dust weather spatial correlation network, suggesting these locales as primary zones of dust distribution. Conversely, Lhasa and Mozhugongka experience the least influence from other stations regarding dust occurrences. 3) The research area is affected by sand and dust weather for a short period of time. The duration of sand and dust storms is mainly one hour, indicating that local sandstorms are the main cause. The duration of three hours is secondary, indicating mutual transmission between individual stations. The minimum duration is six hours, indicating that sand and dust cannot be transported for a long time. In conclusion, the middle reaches of the Yarlung Zangbo River observe both local generation and broader regional transmission of dust weather, with stations exerting mutual influences, culminating in a sophisticated spatial interaction network. Therefore, to reduce the impact of sand and dust disasters in the research area, it is necessary to focus on comprehensive coordination and collaboration for governance. |
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| Keywords: | complex network Yarlung Zangbo dust weather space transmission |
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