Characteristics of intense winds in mountain area based on field measurement: Focusing on thunderstorm winds

Huang, Gangliang; Jiang, Yan; Peng, Liuliu; Solari, Giovanni; Liao, Haili; Li, Mingshui

doi:10.1016/j.jweia.2019.04.020

Cited by 92 publications

(16 citation statements)

References 56 publications

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“…Hence, the results in Table 2 indicate that the underlying dynamics associated with wind speed appears to be more complex than those of pressure and temperature, which is overall consistent with the conclusions from graphic representation, that is, phase space reconstruction and recurrence plot. Many previous studies (e.g., Schumann and Martin, 1991; Barthelmie, 1999; Fuentes et al ., 2005; Huang et al ., 2019) have indicated that the wind experienced at a particular location can be affected by a variety of factors across various time and geographic scales, such as large‐scale atmospheric dynamics, orographic effects, surface friction, gradient in pressure and moisture. Understandably, such complex forcing in controlling wind can result in higher degree of irregularity and randomness in wind behaviour.…”

Section: Resultsmentioning

confidence: 99%

Dynamic analysis of meteorological time series in Hong Kong: A nonlinear perspective

Yan¹,

Chan

et al. 2021

Intl Journal of Climatology

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Many meteorological systems are chaotic in nature, which inevitably limits its predictability. Accurate prediction of meteorological variables depends primarily on properly diagnosing the complex underlying dynamics. Nonlinear dynamic analysis has shown to be particularly useful for such purpose. In this study, the concept of recurrence analysis was extended to investigate and characterize the underlying dynamics of meteorological time series (i.e., wind speed, temperature, pressure and relative humidity) based on daily observation in Hong Kong during a period from 1998 to 2018. The existence of chaos was clearly identified based on the phase space reconstruction diagram and the recurrence plot. It was shown that the underlying dynamics associated with wind speed appears to indicate higher level of complexity as compared to those of pressure and temperature, which, in consequence, may lead to more irregular time‐dependent behaviour and lower predictability. Moreover, season‐to‐seasonal variability in the dynamics of meteorological time series was evident, particularly for wind speed and temperature. Overall, this study shows that the recurrence analysis can be well applied as a useful diagnostic tool to investigate the dynamics of meteorological systems, which is expected to provide a new avenue regarding the modelling and prediction of the behaviour of meteorological parameters.

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Section: Resultsmentioning

confidence: 99%

Dynamic analysis of meteorological time series in Hong Kong: A nonlinear perspective

Yan¹,

Chan

et al. 2021

Intl Journal of Climatology

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“…Many low-speed wind tunnels constructed in 1960s by Chinese scholars were designed based on the Witozinsky formula (Wang et al [43]). Evaluating the results of different contraction curves in terms of average wind speed reduction factors, vertical wind attack angles, and turbulence intensity, Huang et al [44] drew a conclusion that the performance of the Witozinsky curve is the best and proposed an optimal curve expression of the Witozinsky curve at the same time. In his research, the terrain model boundary is directly connected to the BTS as shown in Figure 2a, which may lead to insufficient development of the inflow.…”

Section: Form Of Boundary Transition Section Curvementioning

confidence: 99%

Experimental and Numerical Investigation of Wind Characteristics over Mountainous Valley Bridge Site Considering Improved Boundary Transition Sections

et al. 2020

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To study wind characteristics over mountainous terrain, the Xiangjiang Bridge site was employed in this paper. The improved boundary transition sections (BTS) were adopted to reduce the influence of “artificial cliffs” of the terrain model on the wind characteristics at the bridge site over the mountainous terrain. Numerical simulation and experimental investigations on wind characteristics over mountainous terrain with/without BTS were conducted for different cases, respectively. The research results show that the cross-bridge wind speed ratios and wind attack angles at the main deck level vary greatly along the bridge axis, which can be roughly divided into three parts, namely the mountain (I, III) and central canyon areas (II). The cross-bridge wind speed ratios at the main deck level with BTS is generally larger than that without BTS in the central canyon area (II) for most cases, while the opposite trend can be found in wind attack angles. The longitudinal wind speed ratios of the terrain model with BTS at L/4, L/2, and 3L/4 of the bridge length are larger than that of the terrain model without BTS for most cases. In general, the maximum relative error between numerical results and experimental results is about 30% for most cases.

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“…Three different types of land surfaces were described by this method, and this lays a good foundation for the study of the wind field in the mountain gorge area. Thus, many researchers have measured different mountainous terrain, including U-shaped gorge (F. , V-shaped gorge (Zhang et al, 2021), Y-shaped river channel (Huang et al, 2019), and others. The results show that the wind field in mountainous areas is greatly constrained by local terrain, which is different from that in open flat areas (Hui et al, 2009;Li et al, 2017;D.…”

Section: Introductionmentioning

confidence: 99%

Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge

Zhang

Jiang

et al. 2022

Nat Hazards

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Long-span bridges in mountainous areas are greatly disturbed by wind, and the wind field in the mountain gorge bridge site is extremely complex. Therefore, it is of great engineering significance to accurately evaluate the wind field characteristics of this kind of terrain. In this paper, to enhance understanding of this kind of wind field, the wind field in a mountainous gorge is measured for a long time using wind radar, and the mean wind parameters is statistically analyzed.The results show that the mean wind parameters vary greatly under different wind directions, and the wind speed profile does not meet the power-law model. Therefore, a mixed model suitable for the wind speed profile in a mountainous gorge is proposed. Additionally, GEV distribution and Logistic distribution are found to be suitable for describing the distribution characteristics of wind speed and angle of attack, respectively. In addition, considering the correlation between wind parameters, this paper also constructs the joint probability model of wind speed and angle of attack at different heights by the Copula function. Thus, a combined wind parameters profile model is developed under different exceedance probabilities based on the inverse first-order reliability method (IFORM). This study can provide a reference for the construction of the joint probability model of wind parameters.

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Characteristics of intense winds in mountain area based on field measurement: Focusing on thunderstorm winds

Cited by 92 publications

References 56 publications

Dynamic analysis of meteorological time series in Hong Kong: A nonlinear perspective

Dynamic analysis of meteorological time series in Hong Kong: A nonlinear perspective

Experimental and Numerical Investigation of Wind Characteristics over Mountainous Valley Bridge Site Considering Improved Boundary Transition Sections

Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge

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