Organic aerosol source apportionment by using rolling positive matrix factorization: Application to a Mediterranean coastal city

نویسندگان

چکیده

We investigated the contributions and evolution of organic aerosol (OA) sources at Marseille-Longchamp supersite (MRS-LCP, France) based on Time-of-flight Aerosol Chemical Speciation Monitor (ToF-ACSM) measurements non-refractory PM1 over a fourteen-month period (1 February – 3 April 2018). The OA source apportionment was performed by positive matrix factorization (PMF) using novel “rolling window” approach implemented in Source Finder Professional (SoFi Pro). Here, PMF is 14-days window moving entire dataset, order to account for temporal variability profiles. Six factors were resolved, including hydrocarbon-like (HOA) which related traffic exhausts, cooking-like (COA), biomass burning (BBOA), less oxidized (LOOA), more (MOOA) new defined mix between shipping industrial plumes (Sh-IndOA). While HOA COA consistently contribute total with average 11.2% (ranging 9.2 12.1% seasons) 11.5% (11–12.1%), respectively, BBOA (11.7% average) shows larger seasonal 18% winter no contribution summer. profiles during attributed fresh emissions from domestic heating, oxygenated assigned regional land agricultural waste spring early autumn. Sh-IndOA fraction estimated 4.5% (3.7–6.1%) contributes mass concentrations minor extent. secondary (SOA) includes both LOOA 21.5% (18.8–27.2%) MOOA 39.6% (36.8–42.6%). Based f44/f43 analysis these appeared be linked biogenic influences summer, whereas associated anthropogenic (biomass road traffic) rest year. investigation geographical origins suggests some influence air masses transported Rhône Valley west basin Mediterranean Sea.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Source apportionment of exposure to toxic volatile organic compounds using positive matrix factorizationSource apportionment of exposure to toxic volatile organic compounds using positive matrix factorization

Data from the Total Exposure Assessment Methodology studies, conducted from 1980 to 1987 in New Jersey (NJ ) and California (CA) , and the 1990 California Indoor Exposure study were analyzed using positive matrix factorization, a receptor -oriented source apportionment model. Personal exposure and outdoor concentrations of 14 and 17 toxic volatile organic compounds (VOCs) were studied from the ...

متن کامل

Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization.

Airborne nanoparticles have been studied worldwide, but little is known about their sources in the Middle East region, where hot, arid and dusty climatic conditions generally prevail. For the first time in Kuwait, we carried out size-resolved measurements of particle number distributions (PNDs) and concentrations (PNCs) in the 5-1000 nm size range. Measurements were made continuously for 31 day...

متن کامل

Source apportionment of PM2.5 in Beijing by positive matrix factorization

Air pollution associated with atmospheric fine particulate matter (PM2.5, i.e., particles with an aerodynamic diameter of 2.5mm or less) is a serious problem in Beijing, China. To provide a better understanding of the sources contributing to PM2.5, 24-h samples were collected at 6-day intervals in January, April, July, and October in 2000 at five locations in the Beijing metropolitan area. Both...

متن کامل

Source Apportionment of Personal Exposure to Fine Particulate Matter and Volatile Organic Compounds using Positive Matrix Factorization

The objective of this study was to identify potential sources of personal exposure to fine particulate matter (PM2.5), volatile organic compounds (VOCs), NO2, SO2, and O3 in an urban and industrial area of Turkey between May 2006 and January 2007. Personal exposures were determined once per person in 28 adults over a 24-h period. Energy dispersive Xray fluorescence and a wavelength dispersive X...

متن کامل

Submicron aerosol source apportionment of wintertime pollution in Paris, France by double positive matrix factorization (PMF) using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer

Online non-refractory submicron aerosol mass spectrometer (AMS) measurements in urban areas have successfully allowed the apportionment of specific sources and/or physical and chemical properties of the organic fraction. However, in order to be fully representative of PM pollution, a comprehensive source apportionment analysis is needed by taking into account all major components of submicron a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Atmospheric Environment: X

سال: 2022

ISSN: ['2590-1621']

DOI: https://doi.org/10.1016/j.aeaoa.2022.100176