贺兰山脉不同位置处的风环境差异性研究

Study on the Difference of Wind Environment at Different Locations in the Helan Mountains

  • 摘要: 高压输电线路途径山脉的风环境对于线路的精细化设计及安全运行具有重要的意义,在风沙较大的西北地区更是如此。为此以贺兰山脉为研究对象,通过对贺兰山脉不同位置处的历史日均风速数据进行统计分析,研究山脉不同位置处风速概率密度分布形式、风速脉动均值/标准差和风速脉动相关性等风环境特性的差异,探讨利用风速相关性实现基于某位置观测数据对其他地区风速预测的可行性。结果表明,山脉不同位置处的日均风速概率密度分布都表现出非对称单峰分布特性,即山脉的日平均风速概率密度分布的形式的差异不明显。但就日平均风速脉动均值和标准差而言,山脉的影响较为明显,即山脉坡面上日平均风速脉动均值和标准差最大,具有峡谷风道型微地形的山脚处的日平均风速脉动均值和标准差次之,位于山脚和远离山脉处的日平均风速脉动均值和标准差最小。就日平均风速脉动的相关性而言,山脚和坡面的日平均风速强度虽然存在差异,但是脉动的性质的差异相对较小。换言之,对于山脉坡面和山脚而言,山脉对风速强度的影响要比脉动性质大。离山脉较远位置处的日平均风速脉动与坡面位置处的日平均风速脉动的相关性较差。这说明山脉的存在不仅会影响风速的强度,还会影响日平均风速的脉动性质。由此可见,山脉的存在对于日平均风速的强度和脉动性质有着重要的影响。同时,基于山脉不同位置处的风速脉动相关性可实现不同地区风速的定量预测。

     

    Abstract: The wind environment of high voltage transmission lines in the mountain range is of great importance for the refined design and safe operation of transmission lines, especially in the northwest. Taking the Helan Mountains as the object of study, the differences in wind environmental characteristics such as the form of wind speed probability density distribution, mean/standard deviation of wind speed fluctuation and correlation of wind speed fluctuation at different locations in the Helan Mountains are investigated through statistical analysis of historical daily average wind speed data at different locations in the mountain range. Further, the feasibility of using wind speed correlation to predict wind speed in other regions based on observation data from a certain location is explored. The results show that the daily mean wind speed probability density distributions at different locations in the mountain range all exhibit asymmetric single-peaked distribution characteristics, i.e. the differences in the form of daily mean wind speed probability density distributions in the mountain range are not significant. However, in terms of mean and standard deviation of daily mean wind speed fluctuations, the influence of mountains is more pronounced, i.e. the mean and standard deviation of daily mean wind speed fluctuations are greatest on the slopes of mountains, followed by the mean and standard deviation of daily mean wind speed fluctuations at the foot of mountains with ravine windway type microtopography, and the mean and standard deviation of daily mean wind speed fluctuations at the foot of mountains and away from mountains are the smallest. In terms of the correlation between the daily mean wind speed fluctuations, there is a difference in the intensity of the daily mean wind speed at the foot of the mountain and on the slope, but the difference in the nature of the fluctuations is relatively small. In other words, for the slopes and foothills of mountains, the influence of the mountains on the intensity of the wind speed is greater than the fluctuating nature. The correlation between the daily mean wind speed fluctuations at distant locations from the mountains and the slope is poor. This suggests that the presence of mountains not only affects the intensity of wind speed, but also the nature of the daily mean wind speed fluctuation. It can be seen that the presence of mountains has an important influence on the intensity and fluctuating nature of the daily average wind speed. At the same time, the quantitative prediction of wind speed in different regions can be achieved based on the correlation of wind speed at different locations of the mountain.

     

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