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[Research methods and progress on the reduction effects of vehicle emission pollutants by street canyon greening.]

Authors :
Qian-Kun, Xiao
Ya-Tian, Cheng
Si-Tao, Li
Yao-Yu, Lin
Wei-Jin, Cheng
Chang-Guang, Wu
Source :
Ying yong sheng tai xue bao = The journal of applied ecology. 33(11)
Publication Year :
2022

Abstract

With the development of high-density and high-rise buildings on both sides of the street, widespread attention has been paid to the applicability of the traditional greening model of 'the more trees, the better atmospheric environment' in dealing with air pollution in urban street canyons. Clarifying the characteristics of street canyons greening and its planting design pattern on the reduction of emission pollutants by vehicles is an important prerequisite for the improvement of air quality in the street canyons. Based on literature review, we compared the applicability and limitations of the three methods, including field observation, wind tunnel test, and numerical simulation. We further analyzed the effects of roadside trees and hedges on the dispersion and deposition of air pollutants, and put forward a framework of adaptive greening design for air quality improvement. Finally, we proposed that future studies should address the creation of graphic languages for roadside greening design, the development of technical guidelines for evaluating the exposure of air pollution, and the optimization of parameterization schemes for the physical processes of greening effect in computational fluid dynamics models. Overall, our review could provide ideas and reference for the subsequent research.随着街道两侧建筑群向高密度、高层化发展,传统“树越多越好”的绿化模式在应对城市街谷空气污染时是否适用受到广泛关注。明晰街谷绿化植物特征及其种植设计模式对机动车排放污染物消减的调控机理是发挥其提升街谷空气品质的重要前提。本文通过对近年国内外相关文献的梳理,比较分析了现场观测、风洞试验和数值模拟3种研究方法的适用性及局限性,详细剖析了行道树、绿篱两类绿化模式对街谷空气污染物扩散与沉降的影响机制,提出了一套面向空气质量提升的街谷绿化适应性设计工作框架。最后,分别从典型街谷绿化设计图示语言研制、街谷空气污染暴露评估技术指南编制、计算机流体力学模型中街谷绿化效应物理过程参数化方案优化等方面进行探讨,以期为后续研究提供思路和借鉴。.

Details

ISSN :
10019332
Volume :
33
Issue :
11
Database :
OpenAIRE
Journal :
Ying yong sheng tai xue bao = The journal of applied ecology
Accession number :
edsair.pmid..........58695e72db7c652c8f5cf9eaf1e5be4e