首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GIS的中国西南地区覆冰气象条件评估
引用本文:赵晓萌,李栋梁.基于GIS的中国西南地区覆冰气象条件评估[J].冰川冻土,2012,34(3):547-554.
作者姓名:赵晓萌  李栋梁
作者单位: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, 江苏 南京 210044
基金项目:2011年度高等学校博士学科点专项科研基金课题,江苏高校优势学科建设工程项目,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
摘    要:采用中国西南地区(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提取覆冰相关要素, 利用1 km×1 km DEM资料通过GIS技术建立经度、 纬度、 海拔高度3个宏观地形因子以及坡度、 坡向和开放度3个微观地形因子的数据库, 通过三维二次趋势面的逐步回归方法, 在ArcMap/Info中进行与覆冰有关的气象要素栅格空间化, 在此基础上按照轻、 中、 重三个级别建立了各级覆冰模型并划分了覆冰风险分布. 结果表明: 满足覆冰条件日数序列在2000年以来呈显著上升趋势, 覆冰灾害发生的可能性增大. 一般来说, 宏观地形因子对气象要素的分布影响较大, 相对湿度模型和日照时数模型通过微观地形因子订正后, 精度有所提高. 通过模型得到的西南地区覆冰风险分布图能够较为精确的模拟出西南地区覆冰的风险分布, 与实际情况相符.

关 键 词:覆冰  三维二次趋势面  风险分布  西南地区  
收稿时间:2011-11-13
修稿时间:2012-03-01

Assessing Meteorological Conditions Concerning Icing in Southwest China Based on GIS
ZHAO Xiao-meng,LI Dong-liang.Assessing Meteorological Conditions Concerning Icing in Southwest China Based on GIS[J].Journal of Glaciology and Geocryology,2012,34(3):547-554.
Authors:ZHAO Xiao-meng  LI Dong-liang
Institution:College of Atmospheric Science, Nanjing University of Information Science and Technology/Key Laboratory of Meteorological Disaster of Ministry of Educate ion, Nanjing Jiangsu 210044, China
Abstract:The main meteorological elements based on daily meteorological records for the period of 1960-2009 from 96 stations in Southwest China is used for picking the factors involving icing conditions. A database of geographical factors, including longitude, latitude, slope, aspect and sky-view factors is set up by using 1 km?1 km digital elevation model (DEM) and GIS. Based on the mathematical theorem of tendency simulation and stepwise regression, a grid of icing meteorological element and icing comprehensive evaluation index is established by ArcMap/Info. From this index, Southwest China can be zoned for 3 ranks of icing intensity. It is found that the trend of the series of days with icing conditions has increased significantly since 2000. The risk of the icing would be increasing. Icing conditions and icing intensity (risk) models are developed and all pass the significant level 0.05. Generally, the effect of macro-topographic factors is greater. The accuracy of relative humidity model and sunshine duration model will be improved by micro-topographic factors corrected. A map based on icing intensity (risk) model in Southwest China is presented, which shows the distribution of icing risk clearly and agrees with the actual situation vary well.
Keywords:icing  tendency simulation  stepwise regression  southwest China
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《冰川冻土》浏览原始摘要信息
点击此处可从《冰川冻土》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号