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新疆铁路沿线最强风区大风特征对比分析

姜萍 潘新民 薛俊梅 沙艳萍

气象与环境学报2020,Vol.36Issue(5):69-75,7.
气象与环境学报2020,Vol.36Issue(5):69-75,7.DOI:10.3969/j.issn.1673-503X.2020.05.009

新疆铁路沿线最强风区大风特征对比分析

Comparative analysis of the gale characteristics in the strongest wind area along Lanzhou-Xinjiang railway

姜萍 1潘新民 1薛俊梅 1沙艳萍2

作者信息

  • 1. 新疆气象服务中心,新疆 乌鲁木齐830002
  • 2. 新疆空中交通管理局阿克苏站,新疆 阿克苏843000
  • 折叠

摘要

Abstract

Based on the hourly wind speed data of 32 monitoring stations along Lanzhou-Xinjiang railway from 2015 to 2018,the gale characteristics in the two strongest wind region of Lanzhou-Xinjiang railway i. e. the 100-kilometer wind area and the pre-hundred kilometer wind area were comparatively analyzed through investigating the average number of gale days,duration of gale , the contribution rate of different wind speed,and the variation of time scales and geographical distribution of strong wind by means of statistical methods and spatial analysis. The results show that the extreme gale whose rank is greater than 11 is more likely to occur in the pre-hundred kilometer wind zone than in the hundred kilometer wind zone,which indicates some characteristics in the pre-hundred kilometer wind area under the influence of its downstream terrain relative to in hundred kilometer wind area. Specifically,in the pre-hundred kilometer wind area,the mean hourly wind speed is bigger in the nighttime (20:00 to 08:00 the following day) than in the daytime (08:00 to 20:00),and its variability in spatial distribution is larger, and the dominant wind direction is basically perpendicular to Lanzhou-Xinjiang railway,which leads to strong transversal wind. This paper can fill in the gaps of exploration of weather patterns in the pre-hundred kilometer wind area,and provide the basis for the analysis of change rules of gale in special regions,the fine forecast of hour1y gale in the key regions,special experimental study and the determination of the warning threshold of wind-induced disaster.

关键词

强风区/大风/精细化预报

Key words

Strong wind region/Strong wind / Fine weather forecast

分类

天文与地球科学

引用本文复制引用

姜萍,潘新民,薛俊梅,沙艳萍..新疆铁路沿线最强风区大风特征对比分析[J].气象与环境学报,2020,36(5):69-75,7.

基金项目

新疆气象局面上项目(MS201703)和新疆气象局中亚区域大气科学研究基金项目(CAAS201912)共同资助. (MS201703)

气象与环境学报

OACSTPCD

1673-503X

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