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电力大数据:2018,21(4):-
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导线覆冰与逆温的概率关系研究
黄志洲
(西南电力设计院有限公司)
Probabilistic Relation Research of Wire Icing and Temperature Inversion
Huang Zhizhou
(Southwest Electric Power Design Institute Co.Ltd. Chengdu 610021 Sichuan,China)
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投稿时间:2018-03-22    修订日期:2018-04-02
中文摘要: 本文以雪峰山观冰站2006~2013年冬季的覆冰观测成果为样本资料,运用GrADS软件对再分析气象资料NECP做数据读取与加工计算,统计出雪峰山区域的逆温日数和分布特性,根据雪峰山站实测资料,统计出样本资料的结冰日数,结合再分析资料的计算结果,对雪峰山站结冰日数与逆温日数做概率统计分析,建立结冰日数与逆温日数之间的条件概率关系,获得了结冰日数的一般公式与雪峰山结冰日数的经验公式,选择湖南雪峰山站、四川罗汉林站、贵州大新寨点的覆冰观测资料为验证样本,运用结冰日数经验公式计算各站点的结冰日数,其结果与实际观测结冰日数误差范围为0~0.8天,结冰日数公式具有一定的适用性。
Abstract:In this paper, it takes icing observations result which is the data of Xuefeng Mountain icing observation station from 2006 to 2013 in winter as sample. To census the temperature inversion days and distribution character of Xuefeng mountain region, it applies GrADS software to read and process the reanalysis NECP meteorological data. Basing on the observed data of Xuefeng mountain station, combing calculated results of reanalysis data, it makes probabilistic analysis of numbers of freezing days and temperature inversion days of Xuefeng mountain observation station. It also establishes the conditional probabilistic relation between freezing days and temperature inversion days. Concluding the general formula of freezing days and the empirical formula of Xuefeng mountain freezing days. Taking the icing observation station data from Hunan Xuefeng mountain, Sichuan Luohanlin, Guizhou Daxinzhai as verification sample, applying empirical formula to calculate the freezing days of each observation stations, the error range of calculated freezing days and observed freezing days is 0 to 0.8 days, and the freezing days formula is applicable well in certain conditions.
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