Literature DB >> 12146518

Characterisation of NMHCs in a French urban atmosphere: overview of the main sources.

A Borbon1, N Locoge, M Veillerot, J C Galloo, R Guillermo.   

Abstract

Continuous hourly air quality data involving 37 C2-C9 non-methane hydrocarbons (NMHC) over 4 years are reported for the first time in Lille metropol, northern France, at two urban roadside and background sites. The data have been analysed in two complementary steps: univariate statistics which define the spatial and temporal characteristics of NMHC by constructing the seasonal and daily concentration profiles, and multivariate statistics based on principal component analysis (PCA). A number of important sources have been clearly identified depending on the season: (1) motor vehicle exhaust, which dominates the NMHC distribution and particularly in winter, even for isoprene; (2) wintertime stationary combustion and activities related to fossil fuel consumption in general, such as natural gas leakage of ethane and propane; (3) summertime evaporative emissions from fuel and solvent; and (4) summertime biogenic emissions through isoprene behaviour and their dependence on temperature.

Entities:  

Year:  2002        PMID: 12146518     DOI: 10.1016/s0048-9697(01)01106-8

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Volatile organic compounds: sampling methods and their worldwide profile in ambient air.

Authors:  Anuj Kumar; Ivan Víden
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

2.  Urban VOC profiles, possible sources, and its role in ozone formation for a summer campaign over Xi'an, China.

Authors:  Jian Sun; Zhenxing Shen; Yue Zhang; Zhou Zhang; Qian Zhang; Tian Zhang; Xinyi Niu; Yu Huang; Long Cui; Hongmei Xu; Hongxia Liu; Junji Cao; Xuxiang Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-24       Impact factor: 4.223

3.  Characteristics and sources of non-methane hydrocarbons and halocarbons in wintertime urban atmosphere of Shanghai, China.

Authors:  Ping Song; Fu-Hai Geng; Xue-Fang Sang; Chuen-Yu Chan; Lo-Yin Chan; Qiong Yu
Journal:  Environ Monit Assess       Date:  2011-12-15       Impact factor: 2.513

4.  Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

Authors:  Chin-Yu Hsu; Yu-Ting Zeng; Yu-Cheng Chen; Mu-Jean Chen; Shih-Chun Candice Lung; Chih-Da Wu
Journal:  Int J Environ Res Public Health       Date:  2020-09-23       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.