Literature DB >> 32704490

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.

Sue Kimbrough1, Stephen Krabbe2, Richard Baldauf1, Timothy Barzyk3, Matthew Brown2, Steven Brown4, Carry Croghan3, Michael Davis2, Parikshit Deshmukh5, Rachelle Duvall1, Stephen Feinberg6, Vlad Isakov3, Russell Logan5, Tim McArthur7, Amy Shields4.   

Abstract

Emissions from transportation sources can impact local air quality and contribute to adverse health effects. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS), conducted over a 1-year period, researched emissions source characterization in the Argentine, Turner, and Armourdale, Kansas (KS) neighborhoods and the broader southeast Kansas City, KS area. This area is characterized as a near-source environment with impacts from large railyard operations, major roadways, and commercial and industrial facilities. The spatial and meteorological effects of particulate matter less than 2.5 μm (PM2.5), and black carbon (BC) pollutants on potential population exposures were evaluated at multiple sites using a combination of regulatory grade methods and instrumentation, low-cost sensors, citizen science, and mobile monitoring. The initial analysis of a subset of these data showed that mean reference grade PM2.5 concentrations (gravimetric) across all sites ranged from 7.92 to 9.34 μg/m3. Mean PM2.5 concentrations from low-cost sensors ranged from 3.30 to 5.94 μg/m3 (raw, uncorrected data). Pollution wind rose plots suggest that the sites are impacted by higher PM2.5 and BC concentrations when the winds originate near known source locations. Initial data analysis indicated that the observed PM2.5 and BC concentrations are driven by multiple air pollutant sources and meteorological effects. The KC-TRAQS overview and preliminary data analysis presented will provide a framework for forthcoming papers that will further characterize emission source attributions and estimate near-source exposures. This information will ultimately inform and clarify the extent and impact of air pollutants in the Kansas City area.

Entities:  

Keywords:  PM2.5; black carbon; citizen science; low-cost sensors; near-source; railyard

Year:  2019        PMID: 32704490      PMCID: PMC7377253          DOI: 10.3390/chemosensors7020026

Source DB:  PubMed          Journal:  Chemosensors (Basel)        ISSN: 2227-9040


  21 in total

1.  Field investigation of roadside vegetative and structural barrier impact on near-road ultrafine particle concentrations under a variety of wind conditions.

Authors:  Gayle S W Hagler; Ming-Yeng Lin; Andrey Khlystov; Richard W Baldauf; Vlad Isakov; James Faircloth; Laura E Jackson
Journal:  Sci Total Environ       Date:  2012-01-26       Impact factor: 7.963

2.  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

Review 3.  The changing paradigm of air pollution monitoring.

Authors:  Emily G Snyder; Timothy H Watkins; Paul A Solomon; Eben D Thoma; Ronald W Williams; Gayle S W Hagler; David Shelow; David A Hindin; Vasu J Kilaru; Peter W Preuss
Journal:  Environ Sci Technol       Date:  2013-10-03       Impact factor: 9.028

4.  Seasonal and diurnal analysis of NO2 concentrations from a long-duration study conducted in Las Vegas, Nevada.

Authors:  Evelyn S Kimbrough; Richard W Baldauf; Nealson Watkins
Journal:  J Air Waste Manag Assoc       Date:  2013-08       Impact factor: 2.235

5.  Evaluation of the Alphasense Optical Particle Counter (OPC-N2) and the Grimm Portable Aerosol Spectrometer (PAS-1.108).

Authors:  Sinan Sousan; Kirsten Koehler; Laura Hallett; Thomas M Peters
Journal:  Aerosol Sci Technol       Date:  2016-09-07       Impact factor: 2.908

6.  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

7.  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

8.  A Modular Plug-And-Play Sensor System for Urban Air Pollution Monitoring: Design, Implementation and Evaluation.

Authors:  Wei-Ying Yi; Kwong-Sak Leung; Yee Leung
Journal:  Sensors (Basel)       Date:  2017-12-22       Impact factor: 3.576

9.  Assessing the Utility of Low-Cost Particulate Matter Sensors over a 12-Week Period in the Cuyama Valley of California.

Authors:  Anondo Mukherjee; Levi G Stanton; Ashley R Graham; Paul T Roberts
Journal:  Sensors (Basel)       Date:  2017-08-05       Impact factor: 3.576

10.  A web-based screening tool for near-port air quality assessments.

Authors:  Vlad Isakov; Timothy M Barzyk; Elizabeth R Smith; Saravanan Arunachalam; Brian Naess; Akula Venkatram
Journal:  Environ Model Softw       Date:  2017       Impact factor: 5.288

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  2 in total

1.  Identifying air pollution source impacts in urban communities using mobile monitoring.

Authors:  Parikshit Deshmukh; Sue Kimbrough; Stephen Krabbe; Russell Logan; Vlad Isakov; Richard Baldauf
Journal:  Sci Total Environ       Date:  2020-01-30       Impact factor: 7.963

2.  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

  2 in total

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