About: Changes of NOx in urban air detected with monitoring VIS-NIR field spectrometer during the coronavirus pandemic: A case study in Germany

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About: Changes of NOx in urban air detected with monitoring VIS-NIR field spectrometer during the coronavirus pandemic: A case study in Germany Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Changes of NOx in urban air detected with monitoring VIS-NIR field spectrometer during the coronavirus pandemic: A case study in Germany
Creator	Delaney, Michael Julitta, Tommaso Naethe, Paul
topic	covid:7a1af030f686f0a0dba3a585c7f03f8e0012dcd4#this
Source	Elsevier; Medline; PMC
abstract	Abstract The global outbreak of the Corona pandemic has led to a significant reduction of traffic and traffic-related urban air pollution. One important pollutant in this context is NO2. Sudden change in NO2 emissions related to reduction of urban traffic due to infection protection measures can be detected in Düsseldorf, Germany with continuous measurements of down-welling light with a RoX automated field-spectrometer. In comparison to a nearby reference instrument, a waveband around 590 nm was identified as significant for the retrieval in the VIS-NIR spectral range. A decision tree based on principal components which were decomposed from down-welling radiance spectra has been the most robust approach to retrieved NO2 values. Better differentiation of the NO2 value-range is achieved with a partial least square regression model. The results suggest that traffic-related changes of NOx pollution in urban air can be detected through continuous down-welling radiance measurements with inexpensive automated field-spectrometer systems.
has issue date	2020-07-27(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2020.141286
bibo:pmid	32814287
has license	els-covid
sha1sum (hex)	7a1af030f686f0a0dba3a585c7f03f8e0012dcd4
schema:url	https://doi.org/10.1016/j.scitotenv.2020.141286
resource representing a document's title	Changes of NOx in urban air detected with monitoring VIS-NIR field spectrometer during the coronavirus pandemic: A case study in Germany
has PubMed Central identifier	PMC7383166
has PubMed identifier	32814287
schema:publication	Sci Total Environ
resource representing a document's body	covid:7a1af030f686f0a0dba3a585c7f03f8e0012dcd4#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/7a1af030f686f0a0dba3a585c7f03f8e0012dcd4
is schema:about of	named entity 'detected' named entity 'decision tree' named entity 'Düsseldorf' named entity 'RoX' named entity 'NOx' named entity 'urban air' named entity 'case study' named entity 'CONTEXT' named entity 'SPECTROMETER' named entity 'TRAFFIC' named entity 'MEASURES' named entity 'SPECTRAL' named entity 'SIGNIFICANT' named entity 'AIR' named entity 'RESULTS' named entity 'WELLING' named entity 'SUDDEN CHANGE' named entity 'CHANGE IN' named entity 'pollutant' named entity 'retrieved' named entity 'measures' named entity 'NO2' named entity 'principal' named entity 'case study' named entity 'Germany' named entity 'detected' named entity 'Germany' named entity 'decision tree' named entity 'urban air' named entity 'NO2' named entity 'NO2' named entity 'Corona pandemic' named entity 'spectra' named entity 'radiance' named entity 'spectrometer' named entity 'differentiation' named entity 'principal components' named entity 'coronavirus pandemic' named entity 'urban air' named entity 'case study' named entity 'urban air' named entity 'NOx' named entity 'spectral range' named entity 'conditional inference' named entity 'wind speed' named entity 'decision tree model' named entity 'spectral region' named entity 'NO2' named entity 'urban air' named entity 'Volkswagen' named entity 'NO2' named entity 'coronavirus pandemic' named entity 'anthropogenic' named entity 'latent variables' named entity 'linear regression' named entity 'correlation' named entity 'correlation' named entity 'infrared' named entity 'NO2' named entity 'Root Means Square' named entity 'NO2' named entity 'spectral radiance' named entity 'NO2' named entity 'regression model' named entity 'NO2' named entity 'urban air' named entity 'cross validation' named entity 'spectra' named entity 'anthropogenic' named entity 'Data analysis' named entity 'regression model' named entity 'coronavirus pandemic' named entity 'coronavirus pandemic' named entity 'unsupervised classification' named entity 'Coccia' named entity 'NOx' named entity 'UV-VIS'

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