| 电厂空冷系统环境气象场要素分析中的几个关键技术 |
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| 引用本文： | 刘文平,安炜,郭慕萍,茅彧,刘月丽.电厂空冷系统环境气象场要素分析中的几个关键技术[J].气象科技,2008,36(6):814-817. |
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| 作者姓名： | 刘文平 安炜 郭慕萍 茅彧 刘月丽 |
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| 作者单位： | 山西省气候中心,太原,030006 |
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| 摘 要： | 以山西省左权、王曲电厂等为期一年的铁塔气象观测资料和各邻近地面气象站同期观测资料为例,说明如何选取典型年以及相关性较好的对比气象站,通过对电厂空冷梯度的主要气象要素分析,结合选取的对比气象站长时间序列的逐时气象资料,采用相关统计分析并进行回归检验,重建厂址区域风、温场资料,并针对风资料转换中存在的问题进行了探讨.结果表明:在两地风资料相关较差时.利用条件概率结合线性回归以及风矢量相关等方法补充订正厂址区域风资料效果较好.其结果对风、温场历史资料的重建有一定的指导意义.
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| 关 键 词： | 空冷 气象要素 电厂 气温 风 |
| 收稿时间： | 2007/5/28 0:00:00 |
| 修稿时间： | 2008/7/28 0:00:00 |
Key Techniques for Analyzing Environmental Meteorological Factors for Air-Cooling Systems |
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| Liu Wenping,An Wei,Guo Muping,Mao Yu and Liu Yueli.Key Techniques for Analyzing Environmental Meteorological Factors for Air-Cooling Systems[J].Meteorological Science and Technology,2008,36(6):814-817. |
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| Authors: | Liu Wenping An Wei Guo Muping Mao Yu and Liu Yueli |
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| Institution: | Shanxi Provincial Climate Center, Taiyuan 030006;Shanxi Provincial Climate Center, Taiyuan 030006;Shanxi Provincial Climate Center, Taiyuan 030006;Shanxi Provincial Climate Center, Taiyuan 030006;Shanxi Provincial Climate Center, Taiyuan 030006 |
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| Abstract: | Using one year meteorological observation data from the observation towers at the Zuoquan and Wangqu power plants of Shanxi Province and the conventional meteorological data from neighboring weather stations in same time, some technical issues, such as the selection of typical years and contrast stations with good correlation, are discussed. Through analyzing the gradient meteorological data around the air cooling systems, in combination with the long range meteorological element series of the selected contrast meteorology stations, the wind and temperature fields around the power plants are reconstructed by means of the related statistical methods. Some problems existed in the wind data transformation are discussed. The results indicate that when there is poor correlation between two wind data series, it is better to add and revises the wind data by using conditional probability, linear regression, and wind vector methods. The findings are of certain significance to the reconstruction of historical wind and temperature fields. |
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| Keywords: | air cooling system meteorological factor power plant temperature wind |
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