Developing Emission Factors of Fugitive Particulate Matter Emissions for Construction Sites in the Middle East Area
Fugitive particulate matter (PM) is a major source of
airborne pollution in the Middle East countries. The meteorological
conditions and topography of the area makes it highly susceptible to
wind-blown particles which raise many air quality concerns. Air
quality tools such as field monitoring, emission factors and dispersion
modeling have been used in previous research studies to analyze the
release and impacts of fugitive PM in the region. However, these
tools have been originally developed based on experiments made for
European and North American regions. In this work, an experimental
campaign was conducted on April-May 2014 in a construction site in
Doha city, Qatar. The ultimate goal is to evaluate the applicability of
the existing emission factors for construction sites in dry and arid
areas like the Middle East.
[1] Tsiouri, V., K.E. Kakosimos, and P. Kumar, Concentrations, sources
and exposure risks associated with particulate matter in the Middle East
Area – a review. 2014.
[2] Shao, Y., Physics and Modelling of Wind Erosion. 2009.
[3] Bu Olayan, A.H., A.H. Bu-Olayan, and B.V. Bu-Olayan, Dispersion
model on PM 2.5 fugitive dust and trace metals levels in Kuwait
Governorates. Environmental monitoring and assessment, 2011. 184(3):
p. 1731-1737.
[4] Engelbrecht, J.P. and R.K.M. Jayanty, Assessing sources of airborne
mineral dust and other aerosols, in Iraq. Aeolian Research, 2013. 9(0):
p. 153-160.
[5] Rashki, A., et al., Assessment of chemical and mineralogical
characteristics of airborne dust in the Sistan region, Iran. Chemosphere,
2013. 90(2): p. 227-236.
[6] Pope, C.A., Health effects of fine particulate air pollution: Lines that
connect. Journal of the Air & Waste Management Association, 2006.
56(6): p. 709-742.
[7] Chen, R., et al., Association of Particulate Air Pollution With Daily
Mortality: The China Air Pollution and Health Effects Study. American
journal of epidemiology, 2012. 175(11): p. 1173-1181.
[8] EPA, U., Emissions Factors & AP 42, Compilation of Air Pollutant
Emission Factors 1995.
[9] Kon, L.C., S. Durucan, and A. Korre, The development and application
of a wind erosion model for the assessment of fugitive dust emissions
from mine tailings dumps. International Journal of Mining, Reclamation
and Environment, 2007. 21(3): p. 198-218.
[10] Park, Y.-K. and S. Park, Development of a New Wind-Blown-Dust
Emission Module Using Comparative Assessment of Existing Dust
Models. Particulate science and technology, 2010. 28(3): p. 267-286.
[11] Vesovic, V., et al., Modelling of the dispersion and deposition of coarse
particulate matter under neutral atmospheric conditions. Atmospheric
Environment, 2001. 35, Supplement 1(0): p. S99-S105.
[12] Ono, D., et al., Application of a Combined Measurement and Modeling
Method to Quantify Windblown Dust Emissions from the Exposed Playa
at Mono Lake, California. Journal of the Air & Waste Management
Association, 2011. 61(10): p. 1036-1045.
[13] McKenna Neuman, C., J.W. Boulton, and S. Sanderson, Wind tunnel
simulation of environmental controls on fugitive dust emissions from
mine tailings. Atmospheric Environment, 2009. 43(3): p. 520-529.
[14] USEPA, Revision to the guideline on air quality models: Adoption of a
preferred general purpose (flat and complex terrain) dispersion model
and other revisions. Federal Register, 9 November 2005, Vol.70(216),
pp.68218-68261, 2005. 70(216): p. 68218-68261.
[15] Abdul-Wahab, S.A., Impact of fugitive dust emissions from cement
plants on nearby communities. Ecological Modelling, 2006. 195(3–4): p.
338-348.
[16] Winges, K.D., User's Guide for the Fugitive Dust Model (FDM) revised:
User's Instructions. US Environmental Protection Agency Report (EPA-
910/9-88-202R); TRC Environmental Consultants, 1991.
[17] NPI, Emission Estimation Technique Manual for Cement Manufacturing
National Pollutant Inventory, 1999. [18] Sanderson, R.S., C. McKenna Neuman, and J.W. Boulton, Windblown
fugitive dust emissions from smelter slag. Aeolian Research, 2014.
13(0): p. 19-29.
[19] Kinsey, J.S., et al., Characterization of the fugitive particulate emissions
from construction mud/dirt carryout. Journal of the Air & Waste
Management Association, 2004. 54(11): p. 1394-1404.
[1] Tsiouri, V., K.E. Kakosimos, and P. Kumar, Concentrations, sources
and exposure risks associated with particulate matter in the Middle East
Area – a review. 2014.
[2] Shao, Y., Physics and Modelling of Wind Erosion. 2009.
[3] Bu Olayan, A.H., A.H. Bu-Olayan, and B.V. Bu-Olayan, Dispersion
model on PM 2.5 fugitive dust and trace metals levels in Kuwait
Governorates. Environmental monitoring and assessment, 2011. 184(3):
p. 1731-1737.
[4] Engelbrecht, J.P. and R.K.M. Jayanty, Assessing sources of airborne
mineral dust and other aerosols, in Iraq. Aeolian Research, 2013. 9(0):
p. 153-160.
[5] Rashki, A., et al., Assessment of chemical and mineralogical
characteristics of airborne dust in the Sistan region, Iran. Chemosphere,
2013. 90(2): p. 227-236.
[6] Pope, C.A., Health effects of fine particulate air pollution: Lines that
connect. Journal of the Air & Waste Management Association, 2006.
56(6): p. 709-742.
[7] Chen, R., et al., Association of Particulate Air Pollution With Daily
Mortality: The China Air Pollution and Health Effects Study. American
journal of epidemiology, 2012. 175(11): p. 1173-1181.
[8] EPA, U., Emissions Factors & AP 42, Compilation of Air Pollutant
Emission Factors 1995.
[9] Kon, L.C., S. Durucan, and A. Korre, The development and application
of a wind erosion model for the assessment of fugitive dust emissions
from mine tailings dumps. International Journal of Mining, Reclamation
and Environment, 2007. 21(3): p. 198-218.
[10] Park, Y.-K. and S. Park, Development of a New Wind-Blown-Dust
Emission Module Using Comparative Assessment of Existing Dust
Models. Particulate science and technology, 2010. 28(3): p. 267-286.
[11] Vesovic, V., et al., Modelling of the dispersion and deposition of coarse
particulate matter under neutral atmospheric conditions. Atmospheric
Environment, 2001. 35, Supplement 1(0): p. S99-S105.
[12] Ono, D., et al., Application of a Combined Measurement and Modeling
Method to Quantify Windblown Dust Emissions from the Exposed Playa
at Mono Lake, California. Journal of the Air & Waste Management
Association, 2011. 61(10): p. 1036-1045.
[13] McKenna Neuman, C., J.W. Boulton, and S. Sanderson, Wind tunnel
simulation of environmental controls on fugitive dust emissions from
mine tailings. Atmospheric Environment, 2009. 43(3): p. 520-529.
[14] USEPA, Revision to the guideline on air quality models: Adoption of a
preferred general purpose (flat and complex terrain) dispersion model
and other revisions. Federal Register, 9 November 2005, Vol.70(216),
pp.68218-68261, 2005. 70(216): p. 68218-68261.
[15] Abdul-Wahab, S.A., Impact of fugitive dust emissions from cement
plants on nearby communities. Ecological Modelling, 2006. 195(3–4): p.
338-348.
[16] Winges, K.D., User's Guide for the Fugitive Dust Model (FDM) revised:
User's Instructions. US Environmental Protection Agency Report (EPA-
910/9-88-202R); TRC Environmental Consultants, 1991.
[17] NPI, Emission Estimation Technique Manual for Cement Manufacturing
National Pollutant Inventory, 1999. [18] Sanderson, R.S., C. McKenna Neuman, and J.W. Boulton, Windblown
fugitive dust emissions from smelter slag. Aeolian Research, 2014.
13(0): p. 19-29.
[19] Kinsey, J.S., et al., Characterization of the fugitive particulate emissions
from construction mud/dirt carryout. Journal of the Air & Waste
Management Association, 2004. 54(11): p. 1394-1404.
@article{"International Journal of Earth, Energy and Environmental Sciences:68920", author = "Hala A. Hassan and Vasiliki K. Tsiouri and Konstantinos E. Konstantinos", title = "Developing Emission Factors of Fugitive Particulate Matter Emissions for Construction Sites in the Middle East Area", abstract = "Fugitive particulate matter (PM) is a major source of
airborne pollution in the Middle East countries. The meteorological
conditions and topography of the area makes it highly susceptible to
wind-blown particles which raise many air quality concerns. Air
quality tools such as field monitoring, emission factors and dispersion
modeling have been used in previous research studies to analyze the
release and impacts of fugitive PM in the region. However, these
tools have been originally developed based on experiments made for
European and North American regions. In this work, an experimental
campaign was conducted on April-May 2014 in a construction site in
Doha city, Qatar. The ultimate goal is to evaluate the applicability of
the existing emission factors for construction sites in dry and arid
areas like the Middle East.
", keywords = "Air pollution, construction, emissions, middle east,
fugitive particulate matter.", volume = "9", number = "2", pages = "50-5", }
