Independent Validation of National Satellite-Based Land-Use Regression Models for Nitrogen Dioxide Using Passive Samplers.
dc.contributor.author | Knibbs, L. | |
dc.contributor.author | Coorey, C. | |
dc.contributor.author | Bechle, M. | |
dc.contributor.author | Cowie, C. | |
dc.contributor.author | Dirgawati, M. | |
dc.contributor.author | Heyworth, J. | |
dc.contributor.author | Marks, G. | |
dc.contributor.author | Marshall, J. | |
dc.contributor.author | Morawska, L. | |
dc.contributor.author | Pereira, Gavin | |
dc.contributor.author | Hewson, M. | |
dc.date.accessioned | 2017-01-30T11:13:42Z | |
dc.date.available | 2017-01-30T11:13:42Z | |
dc.date.created | 2016-12-11T19:31:26Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Knibbs, L. and Coorey, C. and Bechle, M. and Cowie, C. and Dirgawati, M. and Heyworth, J. and Marks, G. et al. 2016. Independent Validation of National Satellite-Based Land-Use Regression Models for Nitrogen Dioxide Using Passive Samplers.. Environmental Science & Technology. 50 (22): pp. 12331-12338. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/9591 | |
dc.identifier.doi | 10.1021/acs.est.6b03428 | |
dc.description.abstract |
Including satellite observations of nitrogen dioxide (NO2) in land-use regression (LUR) models can improve their predictive ability, but requires rigorous evaluation. We used 123 passive NO2 samplers sited to capture within-city and near-road variability in two Australian cities (Sydney and Perth) to assess the validity of annual mean NO2 estimates from existing national satellite-based LUR models (developed with 68 regulatory monitors). The samplers spanned roadside, urban near traffic (=100 m to a major road), and urban background (>100 m to a major road) locations. We evaluated model performance using R(2) (predicted NO2 regressed on independent measurements of NO2), mean-square-error R(2) (MSE-R(2)), RMSE, and bias. Our models captured up to 69% of spatial variability in NO2 at urban near-traffic and urban background locations, and up to 58% of variability at all validation sites, including roadside locations. The absolute agreement of measurements and predictions (measured by MSE-R(2)) was similar to their correlation (measured by R(2)). Few previous studies have performed independent evaluations of national satellite-based LUR models, and there is little information on the performance of models developed with a small number of NO2 monitors. We have demonstrated that such models are a valid approach for estimating NO2 exposures in Australian cities. | |
dc.publisher | American Chemical Society | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/nhmrc/1036620 | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/nhmrc/1003589 | |
dc.title | Independent Validation of National Satellite-Based Land-Use Regression Models for Nitrogen Dioxide Using Passive Samplers. | |
dc.type | Journal Article | |
dcterms.source.volume | 50 | |
dcterms.source.number | 22 | |
dcterms.source.startPage | 12331 | |
dcterms.source.endPage | 12338 | |
dcterms.source.title | Environmental Science & Technology | |
curtin.accessStatus | Fulltext not available |
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