Seasons Effects of Field Measurement of Near-Ground Wind Characteristics in a Complex Terrain Forested Region

Hao Yue, Yagebai Zhao (), Dabo Xin and Gaowa Xu ()
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Hao Yue: School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
Yagebai Zhao: School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China
Dabo Xin: School of Civil Engineering and Architecture, Hainan University, Haikou 570228, China
Gaowa Xu: School of Architecture and Civil Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China

Sustainability, 2023, vol. 15, issue 14, 1-33

Abstract: The wind characteristics of the atmospheric boundary layer in forested regions exhibit a significant complexity due to rugged terrain, seasonal climate variability, and seasonal growth of vegetation, which play a key role not only in designing optimal blades to gain better performance but also in assessing the structural response, and there is a paucity of research on such wind fields. Therefore, this paper investigates wind characteristics via on-site wind field measurement. The mean and fluctuating wind characteristics of the forested region in different seasons were analyzed based on the field measurement data. The results show that for the mean wind characteristics, the seasonally fitted exponents play a decisive role in characterizing the mean wind profile, while the season and temperature are the key factors affecting the mean wind direction in forested regions. For fluctuating wind characteristics, the seasonal power-law function can accurately characterize the turbulence intensity profile. Moreover, the ratio of the three turbulence intensity components is significantly affected by temperature and season, and the Von Kármán spectrum has better applicability in the cold and less canopy-disturbed winter than in the other three seasons. The proposed seasonally fitted parameters show better applicability in terms of vertical coherence.

Keywords: field measurement; wind characteristics; forested regions; seasonally fitted parameters (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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