Modelling probability density functions based on the Gram–Charlier series with higher-order statistics: Theoretical derivation and application

Wang, Wei; Seta, Koki; Ikegaya, Naoki

doi:10.1016/j.jweia.2022.105227

Cited by 19 publications

(1 citation statement)

References 34 publications

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“…The maximum wind velocity is a commonly used gust index (Monahan and Armendariz 1971;Wieringa 1973;Ahmad et al 2017;Verkaik 2000). But since the statistics of the maximum are usually difficult to converge, a practical alternative indicator for extreme high winds is a percentile with specified exceedance frequency, e.g., the 99 percentile (Ikegaya et al 2017b;Wang et al 2022;Wang and Okaze 2023). These metrics are useful for analysis of the safety level and building load requirements.…”

Section: Selecting the Indicators For Gust And Stagnation Extremesmentioning

confidence: 99%

Wind Extremes over Built Terrain: Characterization and Geometric Determinants

Wang,

Llaguno-Munitxa,

et al. 2024

Preprint

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Cities feature complex and heterogeneous topographies that create highly-variable airflow patterns and dynamics. The resulting extreme high and low winds challenge urban design's quest for maintaining a safe and comfortable environment. This study investigates these urban wind extrema by conducting large-eddy simulations (LESs) in four American cities with distinct topographic features and links the resulting winds to geometric indicators. By analyzing the profile and spatial variation of the wind extrema, the simulations illustrate that gust zones tend to occur along wind-oriented streets and on both sides of high-rise buildings, while stagnation zones are mostly located in the lee of tall or wide buildings. Potential geometric parameters explaining these winds extrema are investigated, including the plan and frontal area fraction and the sky view factor. These findings advance our ability to predict wind conditions solely based on urban geometry, and ultimately to design more resilient, sustainable, and livable cities.

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