机动车排放多源数据融合及应用研究  

Research on Multi-source Datasof Vehicle Emission Fusion and Application

作　　者：马冬[1] 肖寒[1] 王宏丽[1] 付明亮 MA Dong;XIAO Han;WANG Hong-li;FU Ming-liang(State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation,Chinese Research Academy of Environmental Sciences,Beijing 100012,China)

机构地区：[1]中国环境科学研究院、国家环境保护机动车污染控制与模拟重点实验室,北京100012

出　　处：《中国环保产业》2023年第7期23-28,共6页China Environmental Protection Industry

基　　金：科技部政府间国际科技创新合作重点专项“城市道路交通系统排放的监测和监管技术”(2018YFE0106800)。

摘　　要：机动车排放已成为我国大气污染的重要来源。近年来,我国在机动车环保信息公开、环保定期检验、遥感监测、车载自动诊断系统(OBD)远程监控等领域积累了大量的数据,本文通过对机动车排放多源数据进行处理分析,建立了多源数据融合方法,为数据的评价应用提供了支撑。Vehicle emission has become an important source of air pollution in China.In recent years,China has accumulated a large amount of datas in the fields of vehicle environmental protection information disclosure,environmental protection regular inspection,remote sensing monitoring,OBD remote monitoring,etc.This paper establishes a multi-source datas fusion method through processing and analysis of vehicle emission multi-source datas,which provides support for the application of the datas.

关 键 词：机动车 多源数据 融合 应用 

分 类 号：X324[环境科学与工程—环境工程]