首页|基于WRF模式的康定地区风吹雪易发性判断

基于WRF模式的康定地区风吹雪易发性判断

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为给通过地形复杂,缺少气象资料的西南艰险山区的铁路研究风吹雪易发性提供方法,以位于该区域的四川省康定市为例,采用中尺度数值天气预报模式(The Weather Research and Forecasting Mode,WRF)对该区域气象要素的时空分布进行模拟.基于WRF模式中各种参数的特点,设计 4 种参数方案进行计算,采用双层网格嵌套达到降尺度模拟,为了高精度解析大气边界层过程,在竖直方向、近地面 1.5km高度内加密为 15 层,提取康定站计算结果与观测结果进行比较.结果表明,WRF模式的计算结果符合康定市气候特征,气象要素的相关系数均高于 0.5;风吹雪发生概率从高到低的区域依次为康定市东部和南部边缘的贡嘎山区,内部的大雪山段,以及位于 101.7°E～102.0°E位置处的铁路线路,概率分别为 19%、14%和 12%,其他区域的概率低于 4%.
The Judgement of Susceptibility of Wind-blown Snow in Kangding Area Based on WRF Model
In order to provide a method to study the susceptibility of wind-blown snow for the rail-way through the mountainous areas of southwest China with complex terrain and lack of meteorological data,this paper takes Kangding of Sichuan province as an example.The mesoscale numerical weather research and forecasting mode(WRF)is used to simulate the spatiotemporal distribution of meteorologi-cal elements in this region.Based on the characteristics of various parameters schemes,three combina-tion methods are designed in this paper.Using double-layer mesh nesting to achieve downscale simula-tion,and in order to analyze atmospheric boundary layer process with high accuracy,the vertical direc-tion was increased into 15 layers within a height of 1.5 km near the ground.The calculation results of Kangding station were extracted and compared with the observation results.The results show that WRF model is consistent with the climate characteristics of Kangding.The correlation coefficients of meteoro-logical information are both higher than 0.5;The regions with the probability of wind-blown snow from high to low are the eastern part of Kangding and the southern edges of Gongga Mountain,the great snow mountain section inside Kangding,and the railway line at 101.7°E～102.0°E,with the probability of 19%,14%and 12%,respectively,and the probability of other areas is lower than 4%.

railway disaster preventionsnowdriftsusceptibility discriminationnumerical simula-tionWRFparameterization scheme

周雪、杨伟栋、张珍、刘庆宽

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石家庄铁道大学 土木工程学院,河北 石家庄 050043

石家庄铁道大学 省部共建交通工程结构力学行为与系统安全国家重点实验室,河北 石家庄 050043

河北省风工程和风能利用工程技术创新中心,河北 石家庄 050043

铁路灾害防治 风吹雪 易发性判断 数值模拟 WRF模式 参数化方案

河北省自然科学基金创新研究群体项目河北省高端人才项目中央引导地方科技发展资金项目河北省高等学校科学技术研究青年基金

E2022210078冀办[2019]63号236Z5410GQN2023093

2024

10.13319/j.cnki.sjztddxxbzrb.20230243

石家庄铁道大学学报(自然科学版)
石家庄铁道大学

石家庄铁道大学学报(自然科学版)

CSTPCD
影响因子：0.757
ISSN：2095-0373
年,卷(期)：2024.37(1)
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