Literature DB >> 32665795

Influential factors affecting black carbon trends at four sites of differing distance from a major highway in Las Vegas.

Sue Kimbrough1, Tim Hanley2, Gayle Hagler1, Richard Baldauf3, Michelle Snyder4, Halley Brantley5.   

Abstract

Elevated air pollution levels adjacent to major highways are an ongoing topic of public health concern worldwide. Black carbon (BC), a component of particulate matter (PM) emitted by diesel and gasoline vehicles, was measured continuously via a filter-based light absorption technique over ~ 16 months at four different stations positioned on a perpendicular trajectory to a major highway in Las Vegas, NV. During downwind conditions (winds from the west), BC at 20 m from the highway was 32 and 60% higher than concentrations at 100 and 300 m from the roadway, respectively. Overall highest roadside (20-m site) BC concentrations were observed during the time period of 4 a.m.-8 a.m. under low-speed variable winds (3.02 μg/m3) or downwind conditions (2.84 μg/m3). The 20-m site BC concentrations under downwind conditions are 85% higher on weekday periods compared to weekends during the time period of 4 a.m.-8 a.m. Whereas total traffic volume was higher on weekdays versus weekends and differed by approximately 3% on weekdays versus weekends, similarly, the detected heavy-duty fraction was higher on weekdays versus weekends and differed by approximately 21% on weekdays versus weekend. Low wind speeds predominated during early morning hours, leading to higher BC concentrations during early morning hours despite the maximum traffic volume occurring later in the day. No noticeable impact from the airport or nearby arterial roadways was observed, with the 300-m site remaining the lowest of the four-site network when winds were from the east. Multivariate linear regression analysis revealed that heavy-duty traffic volume, light-duty traffic volume, wind speed, weekday versus weekend, surface friction velocity, ambient temperature, and the background BC concentration were significant predictors of roadside BC concentrations. Comparison of BC and PM2.5 downwind concentration gradients indicates that the BC component contributes substantially to the PM2.5 increase in roadside environments. These results suggest that BC is an important indicator to assess the contribution of primary traffic emissions to near-road PM2.5 concentrations, providing opportunities to evaluate the feasibility and effectiveness of mitigation strategies.

Entities:  

Year:  2018        PMID: 32665795      PMCID: PMC7359888          DOI: 10.1007/s11869-017-0519-3

Source DB:  PubMed          Journal:  Air Qual Atmos Health        ISSN: 1873-9318            Impact factor:   3.763


  21 in total

1.  Comparison of daytime and nighttime concentration profiles and size distributions of ultrafine particles near a major highway.

Authors:  Yifang Zhu; Thomas Kuhn; Paul Mayo; William C Hinds
Journal:  Environ Sci Technol       Date:  2006-04-15       Impact factor: 9.028

2.  Monitoring study of the near-road PM2.5 concentrations in Maryland.

Authors:  Helen Ginzburg; Xiaobo Liu; Michael Baker; Robert Shreeve; R K M Jayanty; David Campbell; Barbara Zielinska
Journal:  J Air Waste Manag Assoc       Date:  2015-09       Impact factor: 2.235

3.  Analysis of mobile source air toxics (MSATs)--near-road VOC and carbonyl concentrations.

Authors:  Sue Kimbrough; Ted Palma; Richard W Baldauf
Journal:  J Air Waste Manag Assoc       Date:  2014-03       Impact factor: 2.235

4.  International Airport Impacts to Air Quality: Size and Related Properties of Large Increases in Ultrafine Particle Number Concentrations.

Authors:  N Hudda; S A Fruin
Journal:  Environ Sci Technol       Date:  2016-03-14       Impact factor: 9.028

5.  A Wide Area of Air Pollutant Impact Downwind of a Freeway during Pre-Sunrise Hours.

Authors:  Shishan Hu; Scott Fruin; Kathleen Kozawa; Steve Mara; Suzanne E Paulson; Arthur M Winer
Journal:  Atmos Environ (1994)       Date:  2009-05-01       Impact factor: 4.798

6.  Cardiovascular health and particulate vehicular emissions: a critical evaluation of the evidence.

Authors:  Thomas J Grahame; Richard B Schlesinger
Journal:  Air Qual Atmos Health       Date:  2009-06-30       Impact factor: 3.763

7.  The role of particle composition on the association between PM2.5 and mortality.

Authors:  Meredith Franklin; Petros Koutrakis; Petros Schwartz
Journal:  Epidemiology       Date:  2008-09       Impact factor: 4.822

8.  Vehicle emissions and PM(2.5) mass concentrations in six Brazilian cities.

Authors:  Maria de Fatima Andrade; Regina Maura de Miranda; Adalgiza Fornaro; Americo Kerr; Beatriz Oyama; Paulo Afonso de Andre; Paulo Saldiva
Journal:  Air Qual Atmos Health       Date:  2010-11-20       Impact factor: 3.763

Review 9.  Black carbon as an additional indicator of the adverse health effects of airborne particles compared with PM10 and PM2.5.

Authors:  Nicole A H Janssen; Gerard Hoek; Milena Simic-Lawson; Paul Fischer; Leendert van Bree; Harry ten Brink; Menno Keuken; Richard W Atkinson; H Ross Anderson; Bert Brunekreef; Flemming R Cassee
Journal:  Environ Health Perspect       Date:  2011-08-02       Impact factor: 9.031

10.  Emissions from an international airport increase particle number concentrations 4-fold at 10 km downwind.

Authors:  Neelakshi Hudda; Tim Gould; Kris Hartin; Timothy V Larson; Scott A Fruin
Journal:  Environ Sci Technol       Date:  2014-05-29       Impact factor: 9.028

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  2 in total

1.  A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009-2020.

Authors:  Sheena E Martenies; Joshua P Keller; Sherry WeMott; Grace Kuiper; Zev Ross; William B Allshouse; John L Adgate; Anne P Starling; Dana Dabelea; Sheryl Magzamen
Journal:  Environ Sci Technol       Date:  2021-02-17       Impact factor: 9.028

2.  Variability in Observation-based Onroad Emission Constraints from a Near-road Environment.

Authors:  Heather Simon; Barron H Henderson; R Chris Owen; Kristen M Foley; Michelle G Snyder; Sue Kimbrough
Journal:  Atmosphere (Basel)       Date:  2020-11-18       Impact factor: 2.686

  2 in total

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