Data verification tools for minimizing management costs of dense air-quality monitoring networks

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dc.contributor.author Miskell, Georgia en
dc.contributor.author Salmond, Jennifer en
dc.contributor.author Alavi-Shooshtari, M en
dc.contributor.author Bart, M en
dc.contributor.author Ainslie, B en
dc.contributor.author Grange, S en
dc.contributor.author McKendry, I en
dc.contributor.author Henshaw, G en
dc.contributor.author Williams, David en
dc.date.accessioned 2016-09-15T03:14:23Z en
dc.date.issued 2016-01-20 en
dc.identifier.citation Environmental Science and Technology 50(2):835-846 20 Jan 2016 en
dc.identifier.issn 0013-936X en
dc.identifier.uri http://hdl.handle.net/2292/30362 en
dc.description.abstract Aiming at minimizing the costs, both of capital expenditure and maintenance, of an extensive air-quality measurement network, we present simple statistical methods that do not require extensive training data sets for automated real-time verification of the reliability of data delivered by a spatially dense hybrid network of both low-cost and reference ozone measurement instruments. Ozone is a pollutant that has a relatively smooth spatial spread over a large scale although there can be significant small-scale variations. We take advantage of these characteristics and demonstrate detection of instrument calibration drift within a few days using a rolling 72 h comparison of hourly averaged data from the test instrument with that from suitably defined proxies. We define the required characteristics of the proxy measurements by working from a definition of the network purpose and specification, in this case reliable determination of the proportion of hourly averaged ozone measurements that are above a threshold in any given day, and detection of calibration drift of greater than ±30% in slope or ±5 parts-per-billion in offset. By analyzing results of a study of an extensive deployment of low-cost instruments in the Lower Fraser Valley, we demonstrate that proxies can be established using land-use criteria and that simple statistical comparisons can identify low-cost instruments that are not stable and therefore need replacing. We propose that a minimal set of compliant reference instruments can be used to verify the reliability of data from a much more extensive network of low-cost devices. en
dc.publisher American Chemical Society en
dc.relation.ispartofseries Environmental Science and Technology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Data verification tools for minimizing management costs of dense air-quality monitoring networks en
dc.type Journal Article en
dc.identifier.doi 10.1021/acs.est.5b04421 en
pubs.issue 2 en
pubs.begin-page 835 en
pubs.volume 50 en
dc.identifier.pmid 26654467 en
pubs.end-page 846 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 508128 en
pubs.org-id Science en
pubs.org-id Chemistry en
pubs.org-id School of Environment en
dc.identifier.eissn 1520-5851 en
pubs.record-created-at-source-date 2015-12-01 en
pubs.dimensions-id 26654467 en


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