FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1999285979> ?p ?o ?g. }

• W1999285979 endingPage "89" @default.
• W1999285979 startingPage "80" @default.
• W1999285979 abstract "Oil spills occur across large landscapes in a variety of soils. Visible and near-infrared (VisNIR, 350–2500 nm) diffuse reflectance spectroscopy (DRS) is a rapid, cost-effective sensing method that has shown potential for characterizing petroleum contaminated soils. This study used DRS to measure reflectance patterns of 68 samples made by mixing samples from two soils with different clay content, three levels of organic carbon, three petroleum types and three or more levels of contamination per type. Both first derivative of reflectance and discrete wavelet transformations were used to preprocess the spectra. Three clustering analyses (linear discriminant analysis, support vector machines, and random forest) and three multivariate regression methods (stepwise multiple linear regression, MLR; partial least squares regression, PLSR; and penalized spline) were used for pattern recognition and to develop the petroleum predictive models. Principal component analysis (PCA) was applied for qualitative VisNIR discrimination of variable soil types, organic carbon levels, petroleum types, and concentration levels. Soil types were separated with 100% accuracy and levels of organic carbon were separated with 96% accuracy by linear discriminant analysis using the first nine principal components. The support vector machine produced 82% classification accuracy for organic carbon levels by repeated random splitting of the whole dataset. However, spectral absorptions for each petroleum hydrocarbon overlapped with each other and could not be separated with any clustering scheme when contaminations were mixed. Wavelet-based MLR performed best for predicting petroleum amount with the highest residual prediction deviation (RPD) of 3.97. While using the first derivative of reflectance spectra, penalized spline regression performed better (RPD = 3.3) than PLSR (RPD = 2.5) model. Specific calibrations considering additional soil physicochemical variability and integrating wavelet-penalized spline are expected to produce useful spectral libraries for petroleum contaminated soils." @default.
• W1999285979 created "2016-06-24" @default.
• W1999285979 creator A5006826305 @default.
• W1999285979 creator A5029695887 @default.
• W1999285979 creator A5045609860 @default.
• W1999285979 creator A5068215410 @default.
• W1999285979 creator A5073966764 @default.
• W1999285979 creator A5079179458 @default.
• W1999285979 creator A5089925843 @default.
• W1999285979 date "2012-05-01" @default.
• W1999285979 modified "2023-09-27" @default.
• W1999285979 title "Spectral reflectance variability from soil physicochemical properties in oil contaminated soils" @default.
• W1999285979 cites W142394972 @default.
• W1999285979 cites W1529574768 @default.
• W1999285979 cites W1554186242 @default.
• W1999285979 cites W1965051915 @default.
• W1999285979 cites W1966184253 @default.
• W1999285979 cites W1966379566 @default.
• W1999285979 cites W1967918455 @default.
• W1999285979 cites W1972568473 @default.
• W1999285979 cites W1980466168 @default.
• W1999285979 cites W1984815473 @default.
• W1999285979 cites W1985462743 @default.
• W1999285979 cites W1990420052 @default.
• W1999285979 cites W1990992764 @default.
• W1999285979 cites W1991476842 @default.
• W1999285979 cites W1992800046 @default.
• W1999285979 cites W1993971389 @default.
• W1999285979 cites W1998053851 @default.
• W1999285979 cites W2005460036 @default.
• W1999285979 cites W2033502362 @default.
• W1999285979 cites W2039347487 @default.
• W1999285979 cites W2041076509 @default.
• W1999285979 cites W2049528955 @default.
• W1999285979 cites W2052903566 @default.
• W1999285979 cites W2056108342 @default.
• W1999285979 cites W2059414143 @default.
• W1999285979 cites W2070885380 @default.
• W1999285979 cites W2073503722 @default.
• W1999285979 cites W2082558790 @default.
• W1999285979 cites W2084267050 @default.
• W1999285979 cites W2090188556 @default.
• W1999285979 cites W2092299317 @default.
• W1999285979 cites W2093668679 @default.
• W1999285979 cites W2093922536 @default.
• W1999285979 cites W2094083365 @default.
• W1999285979 cites W2095414472 @default.
• W1999285979 cites W2099331397 @default.
• W1999285979 cites W2112739662 @default.
• W1999285979 cites W2132984323 @default.
• W1999285979 cites W2133275803 @default.
• W1999285979 cites W2139087206 @default.
• W1999285979 cites W2157695404 @default.
• W1999285979 cites W2158551840 @default.
• W1999285979 cites W2158940042 @default.
• W1999285979 cites W2165993842 @default.
• W1999285979 cites W2170234511 @default.
• W1999285979 cites W2911964244 @default.
• W1999285979 cites W4244303548 @default.
• W1999285979 cites W4247093658 @default.
• W1999285979 cites W4249273691 @default.
• W1999285979 doi "https://doi.org/10.1016/j.geoderma.2012.01.018" @default.
• W1999285979 hasPublicationYear "2012" @default.
• W1999285979 type Work @default.
• W1999285979 sameAs 1999285979 @default.
• W1999285979 citedByCount "42" @default.
• W1999285979 countsByYear W19992859792012 @default.
• W1999285979 countsByYear W19992859792013 @default.
• W1999285979 countsByYear W19992859792014 @default.
• W1999285979 countsByYear W19992859792015 @default.
• W1999285979 countsByYear W19992859792016 @default.
• W1999285979 countsByYear W19992859792017 @default.
• W1999285979 countsByYear W19992859792018 @default.
• W1999285979 countsByYear W19992859792019 @default.
• W1999285979 countsByYear W19992859792020 @default.
• W1999285979 countsByYear W19992859792021 @default.
• W1999285979 countsByYear W19992859792022 @default.
• W1999285979 crossrefType "journal-article" @default.
• W1999285979 hasAuthorship W1999285979A5006826305 @default.
• W1999285979 hasAuthorship W1999285979A5029695887 @default.
• W1999285979 hasAuthorship W1999285979A5045609860 @default.
• W1999285979 hasAuthorship W1999285979A5068215410 @default.
• W1999285979 hasAuthorship W1999285979A5073966764 @default.
• W1999285979 hasAuthorship W1999285979A5079179458 @default.
• W1999285979 hasAuthorship W1999285979A5089925843 @default.
• W1999285979 hasConcept C105795698 @default.
• W1999285979 hasConcept C107872376 @default.
• W1999285979 hasConcept C156328458 @default.
• W1999285979 hasConcept C158787203 @default.
• W1999285979 hasConcept C159390177 @default.
• W1999285979 hasConcept C159750122 @default.
• W1999285979 hasConcept C161790260 @default.
• W1999285979 hasConcept C185592680 @default.
• W1999285979 hasConcept C199289684 @default.
• W1999285979 hasConcept C22354355 @default.
• W1999285979 hasConcept C27438332 @default.
• W1999285979 hasConcept C2779170553 @default.
• W1999285979 hasConcept C33923547 @default.

• next