摘 要
随着城市化进程的加速，交通尾气排放成为影响城市空气质量的关键因素。本研究旨在系统分析交通尾气对城市空气污染的影响机制，探讨有效的控制策略。通过文献综述、实地监测和模型模拟相结合的方法，选取典型城市作为研究对象，获取不同时间段、不同区域的交通流量及空气质量数据，建立交通尾气排放与空气质量之间的量化关系模型。研究表明，交通尾气中的一氧化碳、氮氧化物、颗粒物等污染物是导致城市空气质量下降的主要原因，在早晚高峰时段和交通拥堵路段尤为明显。创新性地提出基于智能交通系统的动态调控方案，结合新能源汽车推广政策，从源头上减少尾气排放。同时，构建多部门协同治理机制，整合环保、交通、城建等部门资源，形成综合治理体系。
关键词：交通尾气排放 空气质量 智能交通系统
Abstract
With the acceleration of the urbanization process, the traffic exhaust emissions have become a key factor affecting the urban air quality. This study aims to systematically analyze the influence mechanism of traffic exhaust on urban air pollution and explore effective control strategies. Through the combination of literature review, field monitoring and model simulation, typical cities are selected as the research ob jects to obtain traffic flow and air quality data in different time periods and regions, and establish a quantitative model of the relationship between traffic exhaust emission and air quality. Research show that pollutants such as carbon monoxide, nitrogen oxides and particulate matter in traffic exhaust are the main reasons for the decline of urban air quality, especially in the morning and evening rush hours and congested road sections. Innovative dynamic regulation scheme based on intelligent transportation system, combined with the promotion policy of new energy vehicles, to reduce exhaust emissions from the source. At the same time, build a multi-department collaborative governance mechanism, integrate resources from environmental protection, transportation, urban construction and other departments to form a comprehensive governance system.
Keyword:Traffic Exhaust Emissions Air Quality Intelligent Transportation Systems
目 录
1绪论 1
1.1交通尾气排放研究背景与意义 1
1.2国内外研究现状综述 1
1.3研究方法与技术路线 1
2交通尾气排放特征分析 2
2.1主要污染物成分解析 2
2.2排放源分类与特征 2
2.3不同车型排放差异 3
2.4污染物时空分布规律 3
3尾气排放对空气质量的影响 4
3.1空气质量评价指标体系 4
3.3臭氧及挥发性有机物影响 5
3.4健康风险评估模型 5
4尾气排放控制策略研究 6
4.1政策法规体系建设 6
4.2新能源汽车推广措施 6
4.3智能交通管理方案 7
4.4公众参与机制构建 7
结论 8
参考文献 10
致谢 11
随着城市化进程的加速，交通尾气排放成为影响城市空气质量的关键因素。本研究旨在系统分析交通尾气对城市空气污染的影响机制，探讨有效的控制策略。通过文献综述、实地监测和模型模拟相结合的方法，选取典型城市作为研究对象，获取不同时间段、不同区域的交通流量及空气质量数据，建立交通尾气排放与空气质量之间的量化关系模型。研究表明，交通尾气中的一氧化碳、氮氧化物、颗粒物等污染物是导致城市空气质量下降的主要原因，在早晚高峰时段和交通拥堵路段尤为明显。创新性地提出基于智能交通系统的动态调控方案，结合新能源汽车推广政策，从源头上减少尾气排放。同时，构建多部门协同治理机制，整合环保、交通、城建等部门资源，形成综合治理体系。
关键词：交通尾气排放 空气质量 智能交通系统
Abstract
With the acceleration of the urbanization process, the traffic exhaust emissions have become a key factor affecting the urban air quality. This study aims to systematically analyze the influence mechanism of traffic exhaust on urban air pollution and explore effective control strategies. Through the combination of literature review, field monitoring and model simulation, typical cities are selected as the research ob jects to obtain traffic flow and air quality data in different time periods and regions, and establish a quantitative model of the relationship between traffic exhaust emission and air quality. Research show that pollutants such as carbon monoxide, nitrogen oxides and particulate matter in traffic exhaust are the main reasons for the decline of urban air quality, especially in the morning and evening rush hours and congested road sections. Innovative dynamic regulation scheme based on intelligent transportation system, combined with the promotion policy of new energy vehicles, to reduce exhaust emissions from the source. At the same time, build a multi-department collaborative governance mechanism, integrate resources from environmental protection, transportation, urban construction and other departments to form a comprehensive governance system.
Keyword:Traffic Exhaust Emissions Air Quality Intelligent Transportation Systems
目 录
1绪论 1
1.1交通尾气排放研究背景与意义 1
1.2国内外研究现状综述 1
1.3研究方法与技术路线 1
2交通尾气排放特征分析 2
2.1主要污染物成分解析 2
2.2排放源分类与特征 2
2.3不同车型排放差异 3
2.4污染物时空分布规律 3
3尾气排放对空气质量的影响 4
3.1空气质量评价指标体系 4
3.3臭氧及挥发性有机物影响 5
3.4健康风险评估模型 5
4尾气排放控制策略研究 6
4.1政策法规体系建设 6
4.2新能源汽车推广措施 6
4.3智能交通管理方案 7
4.4公众参与机制构建 7
结论 8
参考文献 10
致谢 11
