深圳大学学报理工版

高密度城市街区的空间特征对其内部交通污染物的浓度分布有显著影响.为研究高密度城市街区中交通污染物扩散和分布的影响因素,建立了深圳市某高密度街区的空间模型.以东北、西南偏南两个典型风向上模拟的PM2.5和氮氧化合物浓度作为交通污染物积累的量化指标,采用计算流体动力学模拟的方法,对室外交通污染物的扩散进行数值模拟.结果表明,道路上的交通污染物浓度明显高于建筑组团内部的; 尽管污染物的排放可能会引起街区内某些位置的污染物累积,但城市绿化和城市通风廊道等开放空间可能会促进交通污染物的稀释; 建筑物形态以及下冲风对交通污染物的扩散有影响.

The spatial characteristics of high-density urban blocks have a significant impact on the distribution of internal traffic pollutants. In order to study the influencing factors of the accumulation of traffic pollutants in high-density urban blocks, we establish a spatial model of high-density blocks in Shenzhen to simulate the spread of outdoor traffic pollutants by computational fluid dynamics(CFD). The concentrations of PM2.5 and NOX simulated in two typical wind directions, northeast and the south-southwest, are assigned as indicators of traffic pollutant accumulation. The results reveal that the concentration of traffic pollutants on the road is significantly higher than that inside the building groups; Although pollutant emission may probably induce pollutant accumulation in some parts of the blocks, the open spaces such as greenbelts and urban ventilating corridors may facilitate the dilution of traffic pollutants. It is also shown that the building shapes and the downward wind also have different impacts on the dilution effect of traffic pollutants.

引言
1 研究对象
2 CFD模拟的研究流程
3 CFD模拟的技术方法
4 模拟结果
5 数据分析
6 结论

图1 深圳市南山区实际案例规划示意图<br/>Fig.1 Schematic diagram of actual case planning in Nanshan district, Shenzhen City

图1 深圳市南山区实际案例规划示意图
Fig.1 Schematic diagram of actual case planning in Nanshan district, Shenzhen City

表1 实例网格密度设置<br/>Table 1 Grid density settings in the example

表1 实例网格密度设置
Table 1 Grid density settings in the example

图2 模型网格示意图<br/>Fig.2 Schematic diagram of the model grid

图2 模型网格示意图
Fig.2 Schematic diagram of the model grid

图3 各路段初始污染物输入量<br/>Fig.3 input of initial pollutant in each section

图3 各路段初始污染物输入量
Fig.3 input of initial pollutant in each section

图4 主导风向下PM2.5浓度分布模拟结果<br/>Fig.4 Simulation results of PM2.5 concentration distribution in main wind directions

图4 主导风向下PM2.5浓度分布模拟结果
Fig.4 Simulation results of PM2.5 concentration distribution in main wind directions

图5 主次干路PM2.5浓度最大值分布<br/>Fig.5 Maximum distribution of PM2.5 concentration in primary and secondary trunk roads

图5 主次干路PM2.5浓度最大值分布
Fig.5 Maximum distribution of PM2.5 concentration in primary and secondary trunk roads

图6 主导风向下NOx浓度分布模拟结果<br/>Fig.6 Simulation results of NOxconcentration distribution in main wind directions

图6 主导风向下NOx浓度分布模拟结果
Fig.6 Simulation results of NOxconcentration distribution in main wind directions

图7 主次干路NOx浓度最大值分布<br/>Fig.7 Maximum distribution of NOx concentration in primary and secondary trunk roads

图7 主次干路NOx浓度最大值分布
Fig.7 Maximum distribution of NOx concentration in primary and secondary trunk roads

图8 主次干路主要污染物初始输入值与PM2.5浓度最大值分布对比<br/>Fig.8 Comparison of the initial input value of main pollutants and maximum distribution of PM2.5 concentration in the primary and secondary trunk roads

图8 主次干路主要污染物初始输入值与PM2.5浓度最大值分布对比
Fig.8 Comparison of the initial input value of main pollutants and maximum distribution of PM2.5 concentration in the primary and secondary trunk roads

图9 道路B6、B7各路段PM2.5平均浓度汇总<br/>Fig.9 Summary of PM2.5 average concentration of each section on road B6 and B7

图9 道路B6、B7各路段PM2.5平均浓度汇总
Fig.9 Summary of PM2.5 average concentration of each section on road B6 and B7

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备注

引言

1 研究对象

2 CFD模拟的研究流程

3 CFD模拟的技术方法

4 模拟结果

5 数据分析

6 结论

期刊信息

备注

引言