Literature DB >> 32041053

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

Parikshit Deshmukh1, Sue Kimbrough2, Stephen Krabbe3, Russell Logan4, Vlad Isakov5, Richard Baldauf6.   

Abstract

With increasing population, rapid urbanization, and increased migration to cities, the local impacts of increasing transportation and industrial-related air pollution are of growing concern worldwide. Elevated air pollution concentrations near these types of sources have been linked to adverse health effects including acute and chronic respiratory and cardiovascular diseases. Mobile monitoring has proven to be a useful technique to characterize spatial variability of air pollution in urban areas and pollution concentration gradients from specific sources. A study was conducted in the Kansas City, Kansas (USA) metropolitan area using mobile monitoring to characterize the spatial variability and gradients of air pollutants to identify the contribution of multiple sources on community-level air quality in a complex urban environment. Measurements focused on nitrogen dioxide (NO2), black carbon (BC), and ultrafine particulate matter (UFP). Mobile monitoring showed that median concentrations of these pollutants ranged by up to a factor of three between the communities, with individual measurements ranging over an order of magnitude within the community. Evaluating these air quality measurements with wind direction data highlighted the influence of specific and combinations of air pollution sources on these elevated concentrations, which can provide valuable information to environmental and public health officials in prioritizing and implementing cost-effect air quality management strategies to reduce exposures for urban populations.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Black carbon; Mobile monitoring; NO(2); Near-source; Particulate matter; Rail yard; Traffic; Ultrafine PM

Year:  2020        PMID: 32041053      PMCID: PMC7882077          DOI: 10.1016/j.scitotenv.2020.136979

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

1.  Concentration and size distribution of ultrafine particles near a major highway.

Authors:  Yifang Zhu; William C Hinds; Seongheon Kim; Constantinos Sioutas
Journal:  J Air Waste Manag Assoc       Date:  2002-09       Impact factor: 2.235

2.  Near-roadway air quality: synthesizing the findings from real-world data.

Authors:  Alex A Karner; Douglas S Eisinger; Deb A Niemeier
Journal:  Environ Sci Technol       Date:  2010-07-15       Impact factor: 9.028

3.  Traffic and meteorological impacts on near-road air quality: summary of methods and trends from the Raleigh Near-Road Study.

Authors:  Richard Baldauf; Eben Thoma; Michael Hays; Richard Shores; John Kinsey; Brian Gullett; Sue Kimbrough; Vlad Isakov; Thomas Long; Richard Snow; Andrey Khlystov; Jason Weinstein; Fu-Lin Chen; Robert Seila; David Olson; Ian Gilmour; Seung-Hyun Cho; Nealson Watkins; Patricia Rowley; John Bang
Journal:  J Air Waste Manag Assoc       Date:  2008-07       Impact factor: 2.235

4.  The effects of roadside vegetation characteristics on local, near-road air quality.

Authors:  Parikshit Deshmukh; Vlad Isakov; Akula Venkatram; Bo Yang; K Max Zhang; Russell Logan; Richard Baldauf
Journal:  Air Qual Atmos Health       Date:  2019-03-11       Impact factor: 3.763

5.  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

6.  Near-port air quality assessment utilizing a mobile measurement approach.

Authors:  Jonathan Steffens; Sue Kimbrough; Richard Baldauf; Vlad Isakov; Ryan Brown; Alan Powell; Parikshit Deshmukh
Journal:  Atmos Pollut Res       Date:  2017-11-01       Impact factor: 4.352

7.  High-resolution mobile monitoring of carbon monoxide and ultrafine particle concentrations in a near-road environment.

Authors:  Gayle S W Hagler; Eben D Thoma; Richard W Baldauf
Journal:  J Air Waste Manag Assoc       Date:  2010-03       Impact factor: 2.235

8.  High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data.

Authors:  Joshua S Apte; Kyle P Messier; Shahzad Gani; Michael Brauer; Thomas W Kirchstetter; Melissa M Lunden; Julian D Marshall; Christopher J Portier; Roel C H Vermeulen; Steven P Hamburg
Journal:  Environ Sci Technol       Date:  2017-06-05       Impact factor: 9.028

9.  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

Review 10.  Factors influencing the spatial extent of mobile source air pollution impacts: a meta-analysis.

Authors:  Ying Zhou; Jonathan I Levy
Journal:  BMC Public Health       Date:  2007-05-22       Impact factor: 3.295

  10 in total
  5 in total

1.  Connecting Air Quality with Emotional Well-Being and Neighborhood Infrastructure in a US City.

Authors:  Raj M Lal; Kirti Das; Yingling Fan; Karoline K Barkjohn; Nisha Botchwey; Anu Ramaswami; Armistead G Russell
Journal:  Environ Health Insights       Date:  2020-05-03

2.  Local- and regional-scale racial and ethnic disparities in air pollution determined by long-term mobile monitoring.

Authors:  Sarah E Chambliss; Carlos P R Pinon; Kyle P Messier; Brian LaFranchi; Crystal Romeo Upperman; Melissa M Lunden; Allen L Robinson; Julian D Marshall; Joshua S Apte
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

3.  Optimized environmental justice calculations for air pollution disparities in Southern California.

Authors:  Yiting Li; Anikender Kumar; Sofia Hamilton; Jeremy D Lea; John Harvey; Michael J Kleeman
Journal:  Heliyon       Date:  2022-09-26

4.  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

5.  Study of the Percentage of Greenhouse Gas Emissions from Aviation in the EU-27 Countries by Applying Multiple-Criteria Statistical Methods.

Authors:  Miriam Andrejiová; Anna Grincova; Daniela Marasová
Journal:  Int J Environ Res Public Health       Date:  2020-05-26       Impact factor: 3.390

  5 in total

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