Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques

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dc.contributor.authorDouglas, Reward K.
dc.contributor.authorNawar, Said
dc.contributor.authorAlamar, M. Carmen
dc.contributor.authorMouazen, Abdul
dc.contributor.authorCoulon, Frederic
dc.date.accessioned2018-02-07T10:22:26Z
dc.date.available2018-02-07T10:22:26Z
dc.date.issued2017-11-09
dc.description.abstractPetroleum hydrocarbons contamination in soil is a worldwide significant environmental issue which has raised serious concerns for the environment and human health (Brevik and Burgess, 2013). Petroleum hydrocarbons encompass a mixture of short and long-chain hydrocarbon compounds. However the difference between the term petroleum hydrocarbons (PHC) as such and the term total petroleum hydrocarbons (TPH) should be noted. PHC typically refer to the hydrogen and carbon containing compounds that originate from crude oil, while TPH refer to the measurable amount of petroleum-based hydrocarbons in an environmental matrix and thus to the actual results obtained by sampling and chemical analysis (Coulon and Wu, 2017). TPH is thus a method-defined term. Among a range of techniques, gas chromatography is preferred for the measurement of hydrocarbon contamination in environmental samples, since it allows to detect a broad range of hydrocarbons and can provide both sensitivity and selectivity depending on the detector and hyphenated configuration used (Brassington et al., 2010; Drozdova et al., 2013). However, GC-based techniques can be time consuming and expensive and do not allowed rapid and broad scale analysis of petroleum contamination on-site (Okparanma and Mouazen, 2013; Okparanma et al., 2014).en_UK
dc.identifier.citationRK Douglas, S Nawar, MC Alamar, et al., (2018) Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques. Science of The Total Environment, Volumes 616–617, March 2018, pp. 147-155en_UK
dc.identifier.issn0048-9697
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2017.10.323
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12965
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTotal petroleum hydrocarbonsen_UK
dc.subjectvis-NIR spectroscopyen_UK
dc.subjectChemometric methodsen_UK
dc.subjectPartial least squares regressionen_UK
dc.subjectRandom forest regressionen_UK
dc.titleRapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniquesen_UK
dc.typeArticleen_UK

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