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基于超越概率的重庆市住宅区风环境品质定量评估
引用本文:姜平,刘晓冉,康俊,廖代强,周杰.基于超越概率的重庆市住宅区风环境品质定量评估[J].气象与环境学报,2020,36(6):31-41.
作者姓名:姜平  刘晓冉  康俊  廖代强  周杰
作者单位:1. 重庆市气候中心, 重庆 4011472. 中山大学, 广东 广州 510275
基金项目:重庆市气象部门智慧气象技术创新团队项目;国家重点研发计划;中国气象局气候变化专项
摘    要:城市化发展显著改变城市下垫面几何形态,导致局地风环境品质恶化,产生城市风环境问题。本文基于超越概率阈值法,结合计算流体力学数值模拟,建立适用于住宅区风环境品质定量评估的一般方法和流程。并以重庆市龙湖社区为例,从大概率和偶发事件的角度对住宅区精细化风环境品质进行评估。结果表明:受复杂下垫面影响,住宅区风环境品质存在明显的区域差异。在开阔空间、与盛行风向一致的街道以及高层建筑周围,风速整体偏大,风环境品质较差,等级为1级乙;在建筑物密集区和封闭的小区内部,风速整体偏小,风环境品质较好,等级为1级甲。城市下垫面的摩擦阻力作用,使住宅区平均风速降低,小区整体风环境品质等级趋于良好。风环境品质评估对促进精细化气象服务水平的提升和城市防灾减灾能力的提高有一定的积极作用。

关 键 词:风环境  城市住宅区  计算流体力学  数值模拟  
收稿时间:2019-11-01

Quantitative assessment of wind environment in neighborhoods based on exceeding probability in Chongqing
Ping JIANG,Xiao-ran LIU,Jun KANG,Dai-qiang LIAO,Jie ZHOU.Quantitative assessment of wind environment in neighborhoods based on exceeding probability in Chongqing[J].Journal of Meteorology and Environment,2020,36(6):31-41.
Authors:Ping JIANG  Xiao-ran LIU  Jun KANG  Dai-qiang LIAO  Jie ZHOU
Institution:1. Chongqing Climate Center, Chongqing 401147, China2. Sun Yat-Sen University, Guangzhou 510275, China
Abstract:Rapid urbanization significantly modifies the urban morphology, leading to unfavorable wind environment at pedestrian level in neighborhoods.This study utilized a method based on exceeding probability and computational fluid dynamics (CFD) modeling to establish a general way and process on quantitative assessment of wind environment in neighborhoods.A case study was carried out in Chongqing Longfo neighborhoods on aspects of both frequent events and occasional events.The results show that the wind environment exhibits a dramatic regional difference due to complex underlying surfaces.The winds at open spaces, streets parallel to background wind directions and certain regions around tall buildings tend to be stronger than that in densely-built regions and the inner spaces of closed residential estate.The quality of wind environment of the former is graded as level 1b, and the quality of the latter is graded as level 1a.In general, the urban surface can act as frictional force which reduces the overall wind speed in the neighborhoods and further results in a favorable wind environment.These results could aid to promote fine service of urban weather and climate forecasting at neighborhood's scale, and enhance the ability of disaster prevention and reduction on urban meteorology.
Keywords:Wind environment  Urban neighborhoods  Computational fluid dynamics(CFD)  Numerical Simulation  
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