naa a22 4500 510751954 CHVBK 20180411083107.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1007/s11270-013-1539-8 doi (NATIONALLICENCE)springer-10.1007/s11270-013-1539-8 Combined Effects of Oil Concentration, Clay and Moisture Contents on Diffuse Reflectance Spectra of Diesel-Contaminated Soils [Elektronische Daten] [Reuben Okparanma, Abdul Mouazen] Removal of petroleum hydrocarbon (PHC) contamination that is hazardous and often prevalent in soils would benefit from a rapid detection technique. Visible and near-infrared spectroscopy (VIS-NIRS) has a large potential as a rapid detection technique for PHC in soils. Nevertheless, the combined influence of oil concentration, moisture content and clay content on soil reflectance spectra and the accuracy of the technique have yet received little attention. The objective of this study was to investigate the combined influence of oil concentration and moisture and clay contents on the spectral characteristics of diesel-contaminated soils and the quality of calibration models developed for polycyclic aromatic hydrocarbons (PAH) in soils using VIS-NIRS. With partial least-squares regression data from a systematic experimental design using 150 artificially contaminated soil samples, results showed that soil diffuse reflectance decreased with increasing oil concentration, clay and moisture contents. The trend was less defined in relation to moisture and clay due mainly to the interaction effects of the soil matrices as mediated by the oil. The PAH partial least squares cross-validation showed best performance with the lowest oil concentration and clay content at 20% moisture with r 2 of 0.89, root mean square error of prediction of 0.201mg/kg and ratio of the standard error of prediction to the standard deviation of the reference data in the validation set of 2.75. Analysis of variance showed that the interaction effects of oil concentration, moisture and/or clay content significantly (p < 0.05) affected the quality of the PAH models. Springer Science+Business Media Dordrecht, 2013 Chemometrics nationallicence Visible-near-infrared spectroscopy nationallicence Petroleum hydrocarbons nationallicence Soil nationallicence VIS-NIR : Visible and near-infrared nationallicence TPH : Total petroleum hydrocarbons nationallicence PAH : Polycyclic aromatic hydrocarbons nationallicence PLSR : Partial least squares regression nationallicence RMSEP : Root mean square error of prediction nationallicence RMSECV : Root-mean-square error of cross-validation nationallicence RPD : Ratio of the standard error of prediction to the standard deviation of the reference data in the validation set nationallicence USEPA : United States Environmental Protection Agency nationallicence PCA : Principal component analysis nationallicence ANOVA : Analysis of variance nationallicence Okparanma Reuben Department of Environmental Science and Technology, Cranfield University, MK43 0AL, Cranfield, Bedfordshire, UK aut Mouazen Abdul Department of Environmental Science and Technology, Cranfield University, MK43 0AL, Cranfield, Bedfordshire, UK aut Water, Air, & Soil Pollution Springer Netherlands 224/5(2013-05-01), 1-18 0049-6979 224:5<1 2013 224 11270 https://doi.org/10.1007/s11270-013-1539-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11270-013-1539-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Okparanma Reuben Department of Environmental Science and Technology, Cranfield University, MK43 0AL, Cranfield, Bedfordshire, UK aut NATIONALLICENCE 700 1- Mouazen Abdul Department of Environmental Science and Technology, Cranfield University, MK43 0AL, Cranfield, Bedfordshire, UK aut NATIONALLICENCE 773 0- Water, Air, & Soil Pollution Springer Netherlands 224/5(2013-05-01), 1-18 0049-6979 224:5<1 2013 224 11270 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer