A comparison between two receptor models to determine the source apportionment of atmospheric pollutants

2006 ◽  
Vol 17 (5) ◽  
pp. 507-516 ◽  
Author(s):  
Maurizio Caselli ◽  
Gianluigi de Gennaro ◽  
Pierina Ielpo
Keyword(s):  
Source Apportionment ◽  
Atmospheric Pollutants ◽  
Receptor Models

scholarly journals SOURCE APPORTIONMENT OF VOCS BY RECEPTOR MODELLING IN AN URBAN SITE IN HA NOI

2018 ◽  
Vol 56 (2C) ◽  
pp. 88-95 ◽  
Author(s):  
Do Thi Nhu Ngoc
Keyword(s):  
Source Apportionment ◽  
Biomass Burning ◽  
Health Effect ◽  
Carcinogenic Risk ◽  
Atmospheric Pollutants ◽  
Urban Site ◽  
Observation Data ◽  
Source Profiles ◽  
Receptor Modelling ◽  
Gasoline Evaporation

Volatile organic compounds (VOCs) are atmospheric pollutants of concern because of the health effect including carcinogenic risk of some of their species and the contribution in the formation of tropospheric ozone. The levels of VOCs in Hanoi were demonstrated to be higher than neighboring countries by previous research. The ozone potential formation (OFP) of VOCs was also some folds higher than others. Among transportation sources, VOCs were proved to be mainly emitted from motorbikes. The contribution percentages of transportation and other sources such as industrial, biomass burning sources are still remained unknown. In this research we applied chemical mass balance (CMB) receptor modelling to determine VOCs source apportionment. One week VOCs observation data at Hanoi University of Science and Technology in June 2017 was applied for investigation. Fourteen VOC species among 55 of which were applied for CMB modelling. Transportation and biomass burning source profiles were developed by monitoring in this study. Four other source profiles, namely gasoline evaporation, industrial production, cooking and paint that were compiled or calculated from previous studies. The results showed that the main sources of VOCs were vehicular emission, biomass burning, and gasoline evaporation contributing 37 %, 21 % and 20 % for VOCs levels, respectively. Other sources contributed for the leftover. The results can support to initiate policy for future control of VOCs.

scholarly journals Source Apportionment of PM2.5 in the Metropolitan Area of Costa Rica Using Receptor Models

2013 ◽  
Vol 03 (04) ◽  
pp. 562-575 ◽  
Author(s):  
Jorge Herrera Murillo ◽  
Susana Rodríguez Roman ◽  
José Félix Rojas Marín ◽  
Beatriz Cardenas
Keyword(s):  
Costa Rica ◽  
Source Apportionment ◽  
Metropolitan Area ◽  
Receptor Models

scholarly journals Introduction and Application of the PMF Model to Estimate the Source Apportionment of PM2.5 at Various Sites

1970 ◽  
Vol 8 (3) ◽  
pp. 25-31 ◽  
Author(s):  
Injo Hwang
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Receptor Site ◽  
Ambient Air ◽  
Receptor Modeling ◽  
Ambient Air Quality ◽  
Receptor Models ◽  
Pmf Model ◽  
Source Contributions ◽  
Reduction Strategies

To manage ambient air quality and establish effective emissions reduction strategies, it is necessary to identify sources and to apportion the ambient PM mass. To do so, receptor models have been developed that analyze various measured properties of the pollutants at the receptor site, identify the sources, and estimate their contributions. Receptor modeling is based on a mathematical model that analyzes the physicochemical properties of gaseous and/or particulate pollutants at various atmospheric receptors. Among the multivariate receptor models used for PM source identification and apportionment, positive matrix factorization (PMF) has been developed by Paatero in 1997. PMF have been developed for providing a new approach to multivariate receptor modeling based on explicit least-squares technique. Also, PMF shown to be a powerful technique relative to traditional multivariate receptor models. PMF has been implemented in two different algorithms: PMF2 (or PMF3) and the multilinear engine (ME). Since the release of PMF2 and ME, these programs have been successfully applied to assess ambient PM source contributions at many locations in the world. In this study, I would like to introduce about outline of the PMF model and application of the PMF model to estimate the source apportionment of ambient PM2.5 at various sampling sites in USA and Korea. This study suggests the possible role for maintain and manage ambient air quality and achieve reasonable air pollution strategies. DOI: http://dx.doi.org/10.3126/jie.v8i3.5928 JIE 2011; 8(3): 25-31

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