辽宁境内高铁沿线不良气象条件时空分布特征

doi:10.3969/j.issn.1673-503X.2016.06.022

Abstract

Abstract: Temporal-spatial distributions of bad-weather conditions including low temperature,snow cover,rainstorm,fog,wind,thunderstorm and hail,which can influence the High-speed Railway (HSR) operations,were investigated using methods of a spatial analysis and a time serial analysis.Observational data from 52 weather stations in Liaoning province from 1982 to 2012 were used to conduct this study.The results show that the most parts of Liaoning province belong to extremely cold region except for the Liaodong Peninsula and circum-Bohai sea areas where they belong to cold region.The maximum number of days with snow cover appears in January (13 days) from 1982 to 2002.The areas with snow depth more than 50 cm are distributed in the mid-north and eastern mountain of Liaoning province as well as Yingkou.Most rainstorms happen in May and June and the number of monthly-occurrence time is about 0.2 on average.The number of annual average rainstorm days with 2 days is relative high in western part and eastern mountain regions of Liaoning.Annual average frequency of thunderstorm ranges from 5 to 7 for recently 30 years and most thunderstorms happen from June to August.The areas with high frequency (more than 30 times per year) of thunderstorm are distributed in the mid-north of Liaoning and Chaoyang.Comparatively,the frequency of thunderstorm in other areas is 21-30 per year.According to the influence characteristics of severe weather on the periods and sections of HSR,crucial periods and sections of meteorological service for severe weather along the HSR in Liaoning province are provided.Finally,the further development trends and directions of meteorological service for the HSR are proposed.

Key words: Bad-weather conditions, Meteorological service for high-speed railway, Development trends

CLC Number:

MING Hui-qing, ZHANG Kai, HOU Ya-hong, GUAN Jian-hua, XI Tao, CAI Fu, ZHAO Miao, GUO Ning, WANG Yang. Temporal-spatial distributions of bad-weather conditions along high-speed railway in Liaoning province[J]. Journal of Meteorology and Environment, 2016, 32(6): 160-165.

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http://www.jme1984.net.cn/EN/Y2016/V32/I6/160

References

[1] 刘桐.沈丹高铁8月31日通车沈阳到丹东仅需1小时[N].华商晨报,2015-04-15(头版).
[2] 丁一汇,戴晓苏.中国近百年来的温度变化[J].气象,1994,20(12):19-26.
[3] 任国玉,徐铭志,初子莹,等.近54年中国地面气温变化[J].气候与环境研究,2005,10(4):717-721.
[4] 孙凤华,杨修群,路爽,等.东北地区平均、最高、最低气温时空变化特征及对比分析[J].气象科学,2006,26(2):157-163.
[5] 赵春雨,刘勤明,李晶,等.辽宁省近48年来气候变化研究[J].气象,2000,26(5):32-35.
[6] 孙凤华,李丽光,梁红,等.1961-2009年辽河流域气候变化特征及其对水资源的影响[J].气象与环境学报,2012,28(5):8-13.
[7] 张雪梅,陈莉,姬菊枝,等.1881-2010年哈尔滨市气候变化及其影响[J].气象与环境学报,2011,27(5):13-20.
[8] 谢静芳,施舍,王宝书,等.哈大高速铁路运营气象服务需求探讨[J].吉林气象,2013(4):38-41.
[9] 王旭,刘旭升,张永瑞,等.铁路专业气象服务探讨[J].吉林农业,2012(12):142.
[10] 拉巴卓玛,普布贵吉.青藏铁路沿线近40年气候变化和气象灾害特征[J].西藏科技,2007(6):66-68.
[11] 郭洁,晋冀蜀,蒲吉光.铁路气象服务作用与效益调查评估[J].四川气象,2007,27(2):41-44.
[12] 刘丽霞.高速铁路防灾气象监测系统设计[J].计算机测量与控制,2010,18(9):1979-1981.
[13] 蔡福,于慧波,矫玲玲,等.降水要素空间插值精度的比较-以东北地区为例[J].资源科学,2006,28(6):73-79.
[14] 高峰.高寒地区如何保证高速铁路畅通[J].资源与人居环境,2013(3):58.
[15] 李娜.哈大高铁项目建设对大连市旅游业的影响研究[D].大连:辽宁师范大学,2011.
[16] 朱文超,刘艳辉,王芳,等.京沪高铁沿线闪电活动的时空分布特征[J].气象水文海洋仪器,2012(4):46-51.
[17] 刘诗翁,孟永彪,李亚涵.新疆北线高铁风监测系统数据采集与网络发布[J].工业控制计算机,2013,26(6):25-26.
[18] 延斐.基于高速铁路的旅客联合运输系统服务水平评估[D].北京:北京交通大学,2012.
[19] 何明琼,王佑兵.武广高铁沿线夜间暴雨气象预警保客运安全[N].中国气象报,2011-06-14(头版).
[20] 程宏波,何正友,胡海涛,等.高速铁路牵引供电系统雷电灾害风险评估及预警[J].铁道学报,2013,35(5):21-26.
[21] 宗曼晔,王晓辉,刘小宁,等.地面气象观测规范[M].北京:气象出版社,2003.
[22] 马淑红,马韫娟.我国高铁强风灾害对策研究[J].交通运输,2013(4):97-99.
[23] 钱征宇.西北地区铁路大风灾害及其防治对策[J].中国铁路,2009(3):1-4,14.
[24] 刘诗翁.新疆北线高铁风数据监测采集与发布系统设计[D].乌鲁木齐:新疆大学,2013.

Temporal-spatial distributions of bad-weather conditions along high-speed railway in Liaoning province

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