Multi-scale Analysis of Single-point Wind Signals in Outdoor Near-surface Environments
The odor/gas dispersion in atmospheric boundary layer is dominated by airflow. The analysis of the wind speed/direction properties is helpful for understanding the mechanism of odor/gas dispersion. In this paper, twenty groups of wind speed/direction time series are collected using ultrasonic anemometer. The wind speed statistics (including variance, turbulent intensity, skewness, kurtosis and turbulent kinetic energy) and wind-direction changes on different time scales are analyzed based on multi-resolution wavelet transform. The results indicate that intermittence of wind speed occur on small scales; the variance of wind speed and turbulent kinetic energy first rises and then decays with an increase in time scale; the probability-density distribution of wind speed is almost symmetric on each scale; the consistency and the standard deviation of the wind direction are mainly affected by large scale motion; and the saltation of wind direction is caused by small scale motion. In use of the wind information, it’s better to consider the distinct properties on different scales, or extract the information on particular scales to eliminate the disturbance on other scales.
Wavelet Multi-resolution decomposition Turbulent statistics Wind steadiness Saltation probability Odor/gas dispersion
WANG Yang MENG Qing-Hao LI Hui-Xia ZENG Ming
Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianj Institute of Robotics and Autonomous Systems, School of Electrical Engineering and Automation, Tianj
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3880-3885
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）