| 城市机动车污染排放的时空预测与分布 |
| |
| 引用本文： | 肖中新,李兵兵,于尧,葛颖恩.城市机动车污染排放的时空预测与分布[J].上海海事大学学报,2017,38(4):79-83. |
| |
| 作者姓名： | 肖中新 李兵兵 于尧 葛颖恩 |
| |
| 作者单位： | 安徽省环境监测中心站,安徽省环境监测中心站,上海海事大学交通运输学院,上海海事大学交通运输学院 |
| |
| 基金项目： | 国家自然科学基金（61603247）；安徽省环境保护科研资金（2015-003） |
| |
| 摘 要： | 鉴于中国城市机动车排放的NOx,CO和PM类尾气对城市大气造成的污染日趋严重,通过监测道路低空机动车排放数据,对机动车污染排放随交通参数变化的规律进行剖析。针对不同车型,提出机动车污染排放因子模型。对模型进行标定和试验验证。所得结果能有效反映路段车辆的真实排放情况。该方法为实时掌握机动车污染排放的时空分布规律与特征,制定科学的、精细化的交通污染防治措施提供依据。
|
| 关 键 词： | 机动车排放 时空预测 排放因子 |
| 收稿时间： | 2017/3/2 0:00:00 |
| 修稿时间： | 2017/7/25 0:00:00 |
Space-time predicting and distribution of vehicle pollution emission in cities |
| |
| Institution: | AnHui Province Environmental Protection Department Environmental Monitoring Center,Shanghai Maritime University |
| |
| Abstract: | In view of the fact that atmospheric pollution in Chinese cities caused by NOx, CO and PMemissions of vehicles is becoming more and more serious, the variation law of vehicle emission versus traffic parameters is analyzed by monitoring the near road vehicle emission data. Pollution emission factor models for various types of vehicles are proposed. The models are calibrated and verified by tests. The test results can reflect the real emissions of vehicles in a road section. The method can provide support for finding the space time distribution laws and characteristics in real time and formulating the scientific and refined measures to prevent and control traffic pollution. |
| |
| Keywords: | vehicle emission space time predicting emission factor |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海海事大学学报》浏览原始摘要信息 |
| 点击此处可从《上海海事大学学报》下载免费的PDF全文 |
