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Multivariate models for monitoring the environmental performance of gasoline

Authors: T. P. Shuvarikova; V. V. Kovalenko; D. S. Trunkin; V. S. Loginov; M. V. Lyzlova; Galina I. Melnik;

Multivariate models for monitoring the environmental performance of gasoline

Abstract

A linear multivariate regression model for the IR spectra of gasolineare used in the paper. On the basis of a number of test samples (alkylate, reformate, regular, premium), an equation was obtained for calculating the content of aromatic hydrocarbons in gasolines based on the transmission values at wave numbers: 1600, 1500, 870, 810, 750 cm-1. The calculated equation was tested on a series of regular gasolines and by the cross-validation method. The test results showed good values of the correlation coefficient (0,96) and the standard deviation (0,4 and 3,5). The range of the content of aromatic hydrocarbons in the test samples is in the range of 24,9 - 30,5 mass %.

Keywords

Environmental sciences, GE1-350

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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