Literature DB >> 29642048

Road traffic air and noise pollution exposure assessment - A review of tools and techniques.

Jibran Khan1, Matthias Ketzel2, Konstantinos Kakosimos3, Mette Sørensen4, Steen Solvang Jensen2.   

Abstract

Road traffic induces air and noise pollution in urban environments having negative impacts on human health. Thus, estimating exposure to road traffic air and noise pollution (hereafter, air and noise pollution) is important in order to improve the understanding of human health outcomes in epidemiological studies. The aims of this review are (i) to summarize current practices of modelling and exposure assessment techniques for road traffic air and noise pollution (ii) to highlight the potential of existing tools and techniques for their combined exposure assessment for air and noise together with associated challenges, research gaps and priorities. The study reviews literature about air and noise pollution from urban road traffic, including other relevant characteristics such as the employed dispersion models, Geographic Information System (GIS)-based tool, spatial scale of exposure assessment, study location, sample size, type of traffic data and building geometry information. Deterministic modelling is the most frequently used assessment technique for both air and noise pollution of short-term and long-term exposure. We observed a larger variety among air pollution models as compared to the applied noise models. Correlations between air and noise pollution vary significantly (0.05-0.74) and are affected by several parameters such as traffic attributes, building attributes and meteorology etc. Buildings act as screens for the dispersion of pollution, but the reduction effect is much larger for noise than for air pollution. While, meteorology has a greater influence on air pollution levels as compared to noise, although also important for noise pollution. There is a significant potential for developing a standard tool to assess combined exposure of traffic related air and noise pollution to facilitate health related studies. GIS, due to its geographic nature, is well established and has a significant capability to simultaneously address both exposures.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air pollution; Combined exposure; GIS; Noise; Road traffic; Tools and techniques

Year:  2018        PMID: 29642048     DOI: 10.1016/j.scitotenv.2018.03.374

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


  12 in total

1.  Assessing the effectiveness of vehicle emission regulations on improving perinatal health: a population-based accountability study.

Authors:  Mary D Willis; Elaine L Hill; Molly L Kile; Susan Carozza; Perry Hystad
Journal:  Int J Epidemiol       Date:  2021-01-23       Impact factor: 7.196

2.  Modeling of pollutant distribution based on mobile sensor networks.

Authors:  Yong Wang; Yingbin Wang; Xiangli Zhang; Dianhong Wang; Jun Yan
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-21       Impact factor: 4.223

3.  Indoor and outdoor road traffic noise and incident diabetes mellitus: Results from a longitudinal German cohort study.

Authors:  Simone Ohlwein; Frauke Hennig; Sarah Lucht; Clara Matthiessen; Noreen Pundt; Susanne Moebus; Karl-Heinz Jöckel; Barbara Hoffmann
Journal:  Environ Epidemiol       Date:  2019-02-12

4.  Four Decades of United States Mobile Source Pollutants: Spatial-Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites.

Authors:  Lucas R F Henneman; Huizhong Shen; Christian Hogrefe; Armistead G Russell; Corwin M Zigler
Journal:  Environ Sci Technol       Date:  2021-01-05       Impact factor: 9.028

5.  A community noise survey in Southwest Detroit and the value of supplemental metrics for truck noise.

Authors:  Stuart Batterman; Sydni C Warner; Tian Xia; Simone Sagovac; Benjamin Roberts; Bridget Vial; Chris Godwin
Journal:  Environ Res       Date:  2021-04-20       Impact factor: 8.431

Review 6.  Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review.

Authors:  Judicaël Picaut; Arnaud Can; Nicolas Fortin; Jeremy Ardouin; Mathieu Lagrange
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

7.  High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana.

Authors:  Sierra N Clark; Abosede S Alli; Michael Brauer; Majid Ezzati; Jill Baumgartner; Mireille B Toledano; Allison F Hughes; James Nimo; Josephine Bedford Moses; Solomon Terkpertey; Jose Vallarino; Samuel Agyei-Mensah; Ernest Agyemang; Ricky Nathvani; Emily Muller; James Bennett; Jiayuan Wang; Andrew Beddows; Frank Kelly; Benjamin Barratt; Sean Beevers; Raphael E Arku
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

8.  Association between exposure to air pollution and thalamus volume in adults: A cross-sectional study.

Authors:  Dawson W Hedges; Lance D Erickson; Shawn D Gale; Jacqueline E Anderson; Bruce L Brown
Journal:  PLoS One       Date:  2020-03-30       Impact factor: 3.240

9.  Using Mosses as Bioindicators of Potentially Toxic Element Contamination in Ecologically Valuable Areas Located in the Vicinity of a Road: A Case Study.

Authors:  Maja Radziemska; Zbigniew Mazur; Agnieszka Bes; Grzegorz Majewski; Zygmunt M Gusiatin; Martin Brtnicky
Journal:  Int J Environ Res Public Health       Date:  2019-10-17       Impact factor: 3.390

10.  Cycling in one of the most polluted cities in the world: Exposure to noise and air pollution and potential adverse health impacts in Delhi.

Authors:  Philippe Apparicio; Jérémy Gelb; Vincent Jarry; Élaine Lesage-Mann
Journal:  Int J Health Geogr       Date:  2021-04-30       Impact factor: 3.918

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