Identify the contribution of vehicle non-exhaust emissions:a single particle aerosol mass spectrometer test case at typical road environment

作     者：Qijun Zhang Jiayuan Liu Ning Wei Congbo Song Jianfei Peng Lin Wu Hongjun Mao Qijun Zhang;Jiayuan Liu;Ning Wei;Congbo Song;Jianfei Peng;Lin Wu;Hongjun Mao

作者机构：Tianjin Key Laboratory of Urban Transport Emission Research&State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and ControlCollege of Environmental Science and EngineeringNankai UniversityTianjin 300071China School of Geography Earth and Environment SciencesUniversity of BirminghamBirmingham B152TTUK 

出 版 物：《Frontiers of Environmental Science & Engineering》 (环境科学与工程前沿（英文）)

年 卷 期：2023年第17卷第5期

页      面：117-128页

核心收录：

学科分类：07[理学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0703[理学-化学] 

基　　金：supported by the National Natural Science Foundation of China(Nos.42107114 and 42177084) the Tianjin Science and Technology Plan Project(No.20YFZCSN01000) the Fundamental Research Funds for the Central Universities(No.63221411). 

主　　题：Non-exhaust emissions SPAMS PMF Roadside environment 

摘      要：A single particle aerosol mass spectrometer(SPAMS)was used to accurately quantify the contribution of vehicle non-exhaust emissions to particulate matter at typical road environment.The PM_(2.5),black carbon,meteorological parameters and traffic flow were recorded during the test period.The daily trend for traffic flow and speed on TEDA Street showed obvious“Mand“Wcharacteristics.6.3 million particles were captured via the SPAMS,including 1.3 million particles with positive and negative spectral map information.Heavy Metal,High molecular Organic Carbon,Organic Carbon,Mixed Carbon,Elemental Carbon,Rich Potassium,Levo-rotation Glucose,Rich Na,SiO_(3) and other categories were analyzed.The particle number concentration measured by SPAMS showed a good linear correlation with the mass concentrations of PM_(2.5) and BC,which indicates that the particulate matter captured by the SPAMS reflects the pollution level of fine particulate matter.EC,ECOC,OC,HM and crustal dust components were found to show high values from 7:00–9:00 AM,showing that these chemical components are directly or indirectly related to vehicle emissions.Based on the PMF model,7 major factors are resolved.The relative contributions of each factor were determined:vehicle exhaust emission(44.8%),coal-fired source(14.5%),biomass combustion(12.2%),crustal dust(9.4%),ship emission(9.0%),tires wear(6.6%)and brake pads wear(3.5%).The results show that the contribution of vehicle non-exhaust to particulate matter at roadside environment is approximately 10.1%.Vehicle non-exhaust emissions are the focus of future research in the vehicle pollutant emission control field.