地铁入口空间布局对室内空气质量的影响研究
Study on the Influence of Subway Entrance Space Layout on Indoor Air Quality
王薇 1张蕾 1夏斯涵 2代萌萌2
作者信息
- 1. 合肥工业大学建筑与艺术学院,合肥 230601
- 2. 安徽建筑大学建筑与规划学院,合肥 230022
- 折叠
摘要
城市地铁地处繁华地区,结构封闭,周边环境污染源较多,室内易积累污染物.本研究重点关注地铁口空间布局对室外颗粒物进入的影响,在调研中选取地铁站入口方向、顶棚形态、入口高宽比3个形态指标作为影响因子,经过实测验证CFD模型的可行性后,选择RNG k-ε模型模拟不同风速下各地铁口形态的室内污染情况.结果表明:(1)侧向比正向入口颗粒拦截率高一倍;(2)入口高宽比小于1∶1时入口宽度越大,地铁站整体空气质量越好;(3)顶棚形态对室内颗粒物的消减排列为:斜顶＞平顶＞无顶;(4)地铁口空间形态对不同直径的颗粒拦截效果不同.形态设计可以改善站内颗粒物进入情况,通过空气对流、回流减少室外污染物的直接灌入.
Abstract
Urban subways are always located in busy areas and closed structures,with more pollution sources in the surrounding environment and easy indoor accumulation of pollutants.The study focuses on the influence of the spatial layout of subway entrances on the entry of outdoor particulate matter,and three morphological indicators of subway station entrance direction,roof morphology and entrance height/width ratio are selected as the influencing factors in the study.After the feasibility of CFD model was verified by real measurement,the RNG k-e model was selected to simulate the indoor pollution of each subway entrance morphology under different wind speeds.The research shows that(1)the lateral direction is twice as high as the forward entrance particle interception rate,(2)the larger the entrance width when the entrance height-width ratio is less than 1∶1,the better the overall air quality of the subway station,(3)the arrangement of the roof morphology on indoor particle abatement is:sloping roof＞flat roof＞no roof,and(4)the spatial morphology of the subway entrance has different effects on particle interception of different diameters.The results show that the morphology design can improve the entry of particulate matter in the station and reduce the direct infusion of outdoor pollutants through air convection and return flow.
关键词
地铁站/地下污染物/空间形态/优化策略/拦截率Key words
metro stations/underground pollutants/spatial form/optimization strategy/interception efficiency引用本文复制引用
基金项目
安徽省自然科学基金(2308085ME182)
安徽省重点研发计划(2023)(2023g0702003)
国家自然科学基金(51778001)
出版年
2024
NETL
NSTL
维普
万方数据