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Air quality monitoring using mobile low-cost sensors mounted on trash-trucks: Methods development and lessons learned

Desouza, Priyanka, Anjomshoaa, Amin, Duarte, Fabio, Kahn, Ralph, Kumar, Prashant and Ratti, Carlo (2020) Air quality monitoring using mobile low-cost sensors mounted on trash-trucks: Methods development and lessons learned Sustainable Cities and Society, 60, 102239.

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Abstract

Air quality monitoring (AQM) is crucial for cities to develop management plans supporting population health. However, there is a dearth of measurements due to the high cost of standard reference instruments. Mobile AQM using low-cost sensors deployed on routine fleets of vehicles can enable the continuous detection of fine-scale pollutant variations in cities at a lower cost. New methods need to be developed to interpret these measurements. This paper presents three such methods. First, we propose a technique to identify aerosol hotspots. Second, we employ techniques published previously to assess the generalizable map of fine and coarse particle number concentrations, to understand qualitatively the contribution of local and regional sources across the region sampled. By using the raw number concentration of differently sized particles from the Optical Particle Counters (OPCs) instead of the noisier mass concentrations, we obtain more robust results. Third, in order to evaluate source signatures in cities, we propose another technique, in which we cluster the entire range of aerosol size-distribution measurements acquired. The properties of each cluster provide insight into the aerosol source characteristics in the sampling environment. We test these methods using a dataset we collected by mounting OPCs on two trash-trucks in Cambridge, Massachusetts.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Desouza, Priyanka
Anjomshoaa, Amin
Duarte, Fabio
Kahn, Ralph
Kumar, PrashantP.Kumar@surrey.ac.uk
Ratti, Carlo
Date : 18 May 2020
Funders : University of Surrey’s ‘Santander Post Graduate Mobility Award'
DOI : 10.1016/j.scs.2020.102239
Grant Title : European Union Horizon 2020 Project
Copyright Disclaimer : © 2020 Elsevier Ltd. All rights reserved.
Projects : iSCAPE (Improving Smart Control of Air Pollution in Europe)
Uncontrolled Keywords : Drive-by sensing; Low-cost sensors; Particulate matter; Routine sampling;
Depositing User : James Marshall
Date Deposited : 09 Jun 2020 09:51
Last Modified : 09 Jun 2020 09:51
URI: http://epubs.surrey.ac.uk/id/eprint/857130

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