摘要
风速的模拟在全球变化的定量化研究中是很重要的。本研究采用蒙特卡洛法模拟一组两参数韦伯分布函数 ,生成逐日平均风速。其中采用了由容易获得的风速统计资料 (月平均风速和最大风速 )来估计韦伯参数的简便方法。
It is important for the quantitative study of global change to simulate wind speed. In this paper, the average daily wind speed is generated from a set of two parameter Weibull distributions by Monte Carlo method. The simple method is used for estimating two Weibull parameters from easily available wind statistics data (based on monthly mean wind speed and fastest mile) in the model. Weather data of Hequ county, the northwest of Shanxi province, China, were utilized to test the model. The validation demonstrated that the model worked very well in simulating wind speed at the area.
出处
《水土保持学报》
CSCD
北大核心
2001年第5期99-101,共3页
Journal of Soil and Water Conservation
基金
国家自然科学基金重大项目! (39990 490
499710 40 )
中国科学院水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室基金 !(98
关键词
全球变化
风速模拟
韦伯分布
蒙特卡洛法
global change
wind speed simulation
Weibull distribution
Monte Carlo method
