自然资源学报 ›› 2011, Vol. 26 ›› Issue (5): 802-813.doi: 10.11849/zrzyxb.2011.05.008

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西南地区覆冰气象要素的变化特征及综合评估

赵晓萌1, 李栋梁1, 熊海星2, 金西平2   

  1. 1. 南京信息工程大学 大气科学学院/气象灾害省部共建教育部重点实验室,南京 210044;
    2. 中国电力工程顾问集团 西南电力设计院,成都 610021
  • 收稿日期:2010-10-08 修回日期:2011-01-17 出版日期:2011-05-20 发布日期:2011-05-20
  • 通讯作者: 李栋梁 E-mail:lidl@nuist.edu.cn
  • 作者简介:赵晓萌(1985- ),女,陕西省咸阳市人,硕士研究生,主要从事气候变化及地理信息系统研究。E-mail:zhaoxiaomeng.0504@yahoo.com.cn
  • 基金资助:

    西南电力设计院委托科研项目"输电线路覆冰数学模型研究";国家重点基础研究发展计划(973计划)项目(2007CB411506)。

Variations of Mteorological Factors Concerning Icing and Comprehensive Assessment in Southwest China

ZHAO Xiao-meng1, LI Dong-liang1, XIONG Hai-xing2, JIN Xi-ping2   

  1. 1. College of Atmospheric Science, Nanjing University of Information Science and Technology/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing 210044, China;
    2. Southwest Electric Power Design Institute, CPECC , Chengdu 610021,China
  • Received:2010-10-08 Revised:2011-01-17 Online:2011-05-20 Published:2011-05-20

摘要: 论文采用西南地区(95°~110°E,25°~35°N)96个常规气象观测站1961年1月1日至2009年12月31日逐日气象要素资料,应用模糊信息分配方法对西南地区形成覆冰的主要气象要素配置进行研究。以连续覆冰日数为主,建立了该地区满足气象条件的覆冰综合评估指数。结果表明,当同时满足地面日最低气温在-10~1 ℃,相对湿度≥80%,日照时数≤2 h这3个条件时,最易发生电线覆冰现象。我国西南地区的云南、贵州、四川三省交界处以及云贵高原大部为电线覆冰最为严重的地方,且覆冰灾害有非常显著的年际及年代际变化规律。

关键词: 西南地区, 覆冰, 覆冰综合评估指数

Abstract: The configuration of main meteorological elements was studied based on fuzzy information distribution method of probability by using daily meteorological elements data for the period of 1960-2009 from 96 stations in Southwest China, to the number of icing consecutive days mainly constructing icing comprehensive evaluation index. The results show that when satisfying the conditions that daily minimum temperature in the context of -10 ℃ and 1 ℃, relative humidity greater than or egual to 80%, sunshine duration less than or equal to 2 hours at the same time, the probability of formation icing will increase. The most severe icing area is at the border of Yunnan, Guizhou, Sichuan and Yunnan-Guizhou Plateau. There is obvious interdecadal variability in annual icing intensity in Southwest China.

Key words: Southwest China, ice wire, icing comprehensive evaluation index

中图分类号: 

  • P427