Analysis of the wind field characteristics induced by the 2019 Typhoon Bailu for the high-speed railway bridge crossing China’s southeast bay

Griffiths, D. Ll.; Xu, Zhongying; Chen, Y. Frank; Flay, Richard G.J.; Rao, Huiming

doi:10.1016/j.jweia.2021.104557

Cited by 11 publications

(2 citation statements)

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“…The study of wind characteristics commonly utilizes wind tunnel experiments, numerical modeling, and field measurement [6,7]. However, simulating typhoons in experiments is difficult.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Near-Ground Wind Field Characteristics during Typhoon Soulik

Wang,

Yao,

Guo

et al. 2024

Applied Sciences

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In 2013, during Typhoon Soulik, wind data were collected at various heights above the ground (15, 27, 53, 67, and 82 m) on the 550 kV 52# pole transmission tower in Ningde City, Fujian Province. The wind speed profile, turbulence intensity, gust factor, crest factor, and power spectrum were analyzed using 10 min interval wind speed records. The results show the following: (1) the average wind velocity of Typhoon Soulik varies in accordance with both the power law and the logarithmic law, but the Deaves–Harris model exhibits significant discrepancies; (2) the turbulence intensity in u, v, and w orientations decreases with the average wind velocity at each height. Exponential fitting is conducted on the strength of turbulence and gust factor profiles in each direction based on the standards of different countries, resulting in the derivation of empirical expressions; (3) the integral scale components of turbulence in u, v, and w orientations exhibit a positive correlation with both average wind velocity and height. The turbulence integral scale ratios in the longitudinal, transverse, and vertical directions at heights of 15, 53, and 82 m are 1:0.68:0.11, 1:0.67:0.27, and 1:0.67:0.30, respectively; (4) the Von Karman empirical spectrum and the modified Kaimal cross-spectrum model closely match the observed wind power spectrum of Typhoon Soulik. The presented results contribute to furthering references for wind-resistant design of structures in typhoon-prone areas and prevention of typhoon-related disasters.

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“…The study of wind characteristics commonly utilizes wind tunnel experiments, numerical modeling, and field measurement [6,7]. However, simulating typhoons in experiments is difficult.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Near-Ground Wind Field Characteristics during Typhoon Soulik

Wang,

Yao,

Guo

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

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“…

The southeast coast of China is frequently affected by super typhoons (STs) and squall lines (SLs), generally, STs are intense long-duration convective activities and SLs are intense short-duration convective storms (Ming et al, 2014;Wang et al, 2022). Both are generally accompanied by strong winds, which creates challenges in designing wind-resistant structures, especially slender structures such as long-span bridges and high-rise buildings (Dai et al, 2021;Li et al, 2017;Zhu et al, 2018). However, the global increase in the intensity of tropical cyclones (TCs) and strong-convection gales, slower decay of landfalling TCs, and the stronger short-duration convection activities such as SLs under climate variability further intensify the vulnerability of coastal regions to strong wind-induced disasters (Emanuel, 2005;Li & Chakraborty, 2020).

…”

mentioning

confidence: 99%

Vertical Coupling of Gusts in the Lower Boundary Layer During Super Typhoons and Squall Lines

Zhou

Chan

et al. 2023

JGR Atmospheres

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Identifying the coupling relationships between gusts at different altitudes of weather systems over land is essential to recognize the inherent energy transfer patterns of different types of windy weather systems and design civil structures and infrastructures. Using the time‐lagged convergent cross‐mapping (LCCM) and data obtained from the 356‐m‐high Shenzhen Meteorological Gradient Tower, we present an observational study of the gusts and momentum flux of two super typhoons (STs) and two squall lines (SLs). Compared to STs, the gusts in SLs are characterized by high amplitude bursts and first occur near the surface. Bivariate toy models and observational data showed that LCCM reliably identifies coupling relationships in the nonlinear system. Subsequently, we systematically demonstrated that LCCM can identify long‐distance interactions of multilevel gusts in different types of gale weather systems. Finally, the downward transportation of energy in ST was verified from the perspective of wind structure and turbulent vertical flux. The upper‐level STs gusts varied ahead of the lower‐level gusts, whereas the SLs showed the opposite result, which is consistent with the coupling relationship obtained by the LCCM method. The results of the study are expected to enhance the understanding of the characteristics of multilevel energy transfer of TC and SL boundary layers over land, provide useful information for validating numerical weather prediction models of damaging weather systems, and facilitate gale hazard prevention in coastal regions.

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