首页|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

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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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,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1h为主,说明以局地起沙为主;3h持续时间次之,说明各站点之间相互传输;6h持续时间最少,说明沙尘不能长时间输送.雅鲁藏布江中游沙尘天气既有局地供应,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.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.
Research on Spatial Interaction of Dust Weather Influences Based on Complex Network Model:A Case of the Middle Reaches of the Yarlung Zangbo River
Based on the hourly minimum visibility data from 15 meteorological stations along the middle reaches of the Yarlung Zangbo River during the winter and spring from 2017 to 2020(October to April of the following year),combining the transfer entropy method and theory of complex networks,the regional dust transport matrix was constructe,and the spatial transport and interactive impact characteristics of dust weather were also analyzed.The results indicated that(1)The dust weather system in the mid-reaches of the Yarlung Zangbo River was a resilient network,and the dust events of different weather stations exhibited mutual influences,indicating that dust can be transported across regions.(2)Shenzha,Nanmulin,and Nimu were at the core of the spatial correlation network for dust weather,suggesting these were the main distribution areas of dust.Conversely,Lhasa and Mozhugongka were least affected by other sites.(3)The duration of dust event in the research area was mainly 1 h,followed by 3 h,and the minimum was 6 h,indicating that local dust emission was the main cause and dust could not be transported for a long time.In conclusion,dust weather in the middle reaches of the Yarlung Zangbo River had both local supply and regional transmission,and the stations interacted with each other to form a complex spatial interactive network.Therefore,in order to reduce the impact of dust disasters in the research area,comprehensive coordination and cooperation should be based on governance.

complex networkYarlung Zangbo Riverdust weatherspace transmission

拉珍、白玛央宗、沈才生、格桑丹增、德庆卓嘎

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西藏自治区气候中心,西藏 拉萨 850000

日喀则国家气候观象台,西藏 日喀则 857000

西藏自治区党委政研室,西藏 拉萨 850000

西藏高原大气环境科学研究所,西藏 拉萨 850000

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复杂网络 雅鲁藏布江 沙尘天气 空间传输

青藏高原综合科考项目(第二次)国家自然科学基金西藏自治区科协项目山南市科技局项目

2019QZKK0604420650082022BJKJJHXM-007

2024

沙漠与绿洲气象
新疆维吾尔自治区气象学会 中国气象局乌鲁木齐沙漠气象研究所

沙漠与绿洲气象

CSTPCD
影响因子:1.007
ISSN:1002-0799
年,卷(期):2024.18(3)