摘要
为了解城市公交尾气排放空间分布特性,利用车载排放测试系统(PEMS)获取南京市100路公交车尾气排放数据,并采用空间自相关分析方法(全局空间自相关和局域空间自相关)对CO2、CO、NOX和HC四类尾气的空间自相关性和差异性进行了研究。结果表明:四类尾气均具有空间正相关性与空间集聚特征,NOX与HC空间集聚特征较CO2与CO更为明显,CO2存在一定空间异质性,CO、NOX和HC无明显空间异质性,路况和交通设施导致公交车速度和加速度发生变化,使得其尾气排放呈现空间分布特性。
In order to know the spatial distribution of urban city emission, thePEMS（Portable emission measurement system）was used to acquire the data of the bus emission of route 100, and the spatial autocorrelation characteristics and difference of four CO. NOxand HC） were researched with spatial autocorrelation（global spa type tial s of exhaust（CO2. autocorrelation and local spatial autocorrelation） analysis method. The results show that the four types of exhaust all have spatial autocorrelation characteristics and with CO2 and CO, spatial aggregation of NOx and HC are hi spatia gher, i aggregation. Compared and CO2 exists spatial heterogeneity, but don＇t the other three types of exhaust. The road conditions and transportation facilities result in the changes of speed and acceleration, which makes emission present spatial distribution.
出处
《交通运输工程与信息学报》
2016年第1期95-100,共6页
Journal of Transportation Engineering and Information
基金
国家自然科学基金项目(51008155)
