An integratedwind risk warning model for urban rail transport in Shanghai, China

被引：0

作者：

Han Z. ^{[1
,2
,3
]}

Tan J. ^{[2
,4
,5
]}

Grimmond C.S.B. ^{[6
]}

Ma B. ^{[1
]}

Yang T. ^{[1
]}

Weng C. ^{[7
]}

机构：

[1] Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai Meteorological Service, Shanghai

[2] Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai

[3] State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai

[4] Shanghai Climate Center, Shanghai Meteorological Service, Shanghai

[5] Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai, CMA, Shanghai

[6] Department of Meteorology, University of Reading, Reading

[7] Shanghai Metro Operation Management Center, Shanghai

来源：

Tan, Jianguo (jianguot@21cn.com) | 1600年 / MDPI AG卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Aerodynamic force; Rail transport; Roughness length; Wind field; Wind risk warning model;

D O I：

10.3390/ATMOS11010053

中图分类号：

学科分类号：

摘要：

The integrated wind risk warning model for rail transport presented has four elements: Background wind data, a wind field model, a vulnerability model, and a risk model. Background wind data uses observations in this study. Using the wind field model with effective surface roughness lengths, the background wind data are interpolated to a 30-m resolution grid. In the vulnerability model, the aerodynamic characteristics of railway vehicles are analyzed with CFD (Computational Fluid Dynamics) modelling. In the risk model, the maximum value of three aerodynamic forces is used as the criteria to evaluate rail safety and to quantify the risk level under extremely windy weather. The full model is tested for the Shanghai Metro Line 16 using wind conditions during Typhoon Chan-hom. The proposed approach enables quick quantification of real-time safety risk levels during typhoon landfall, providing sophisticated warning information for rail vehicle operation safety. © 2020 by the authors.

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