Literature DB >> 23858991

Fuel-based fine particulate and black carbon emission factors from a railyard area in Atlanta.

Boris Galvis1, Mike Bergin, Armistead Russell.   

Abstract

Railyards have the potential to influence localfine particulate matter (aerodynamic diameter < or = 2.5 microm; PM2.5) concentrations through emissions from diesel locomotives and supporting activities. This is of concern in urban regions where railyards are in proximity to residential areas. Northwest of Atlanta, Georgia, Inman and Tilford railyards are located beside residential neighborhoods, industries, and schools. The PM2.5 concentrations near the railyards is the highest measured amongst the state-run monitoring sites (Georgia Environmental Protection Division, 2012; http://www.georgiaair.org/amp/report.php). The authors estimated fuel-based black carbon (BC) and PM2.5 emission factors for these railyards in order to help determine the impact of railyard activities on PM2.5 concentrations, and for assessing the potential benefits of replacing current locomotive engines with cleaner technologies. High-time-resolution measurements of BC, PM2.5, CO2, and wind speed and direction were made at two locations, north and south of the railyards. Emissions factors (i.e., the mass of BC or PM2.5 per gallon of fuel burned) were estimated by using the downwind/upwind difference in concentrations, wavelet analysis, and an event-based approach. By the authors' estimates, diesel-electric engines used in the railyards have average emission factors of 2.8 +/- 0.2 g of BC and 6.0 +/- 0.5 g of PM2.5 per gallon of diesel fuel burned. A broader mix of railyard supporting activities appear to lead to average emission factors of 0.7 +/- 0.03 g of BC and 1.5 +/- 0.1 g of PM2.5 per gallon of diesel fuel burned. Railyard emissions appear to lead to average enhancements of approximately 1.7 +/- 0.1 microg/m3 of PM2.5 and approximately 0.8 +/- 0.01 microg/m3 of BC in neighboring areas on an annual average basis. Uncertainty not quantified in these results could arise mainly from variability in downwind/upwind differences, differences in emissions of the diverse zones within the railyards, and the influence of on-road mobile source emissions.

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Year:  2013        PMID: 23858991     DOI: 10.1080/10962247.2013.776507

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  4 in total

1.  The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS): Integration of Low-Cost Sensors and Reference Grade Monitoring in a Complex Metropolitan Area. Part 1: Overview of the Project.

Authors:  Sue Kimbrough; Stephen Krabbe; Richard Baldauf; Timothy Barzyk; Matthew Brown; Steven Brown; Carry Croghan; Michael Davis; Parikshit Deshmukh; Rachelle Duvall; Stephen Feinberg; Vlad Isakov; Russell Logan; Tim McArthur; Amy Shields
Journal:  Chemosensors (Basel)       Date:  2019-05-27

2.  Characterization of Spatial Air Pollution Patterns Near a Large Railyard Area in Atlanta, Georgia.

Authors:  Halley L Brantley; Gayle S W Hagler; Scott C Herndon; Paola Massoli; Michael H Bergin; Armistead G Russell
Journal:  Int J Environ Res Public Health       Date:  2019-02-13       Impact factor: 3.390

3.  Improving emissions inputs via mobile measurements to estimate fine-scale Black Carbon monthly concentrations through geostatistical space-time data fusion.

Authors:  Alejandro Valencia; Saravanan Arunachalam; Vlad Isakov; Brian Naess; Marc Serre
Journal:  Sci Total Environ       Date:  2021-06-10       Impact factor: 7.963

4.  Global trade, local impacts: lessons from California on health impacts and environmental justice concerns for residents living near freight rail yards.

Authors:  Andrea Hricko; Glovioell Rowland; Sandrah Eckel; Angelo Logan; Maryam Taher; John Wilson
Journal:  Int J Environ Res Public Health       Date:  2014-02-10       Impact factor: 3.390

  4 in total

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