Izvestiya of Saratov University.
ISSN 1816-9775 (Print)
ISSN 2541-8971 (Online)


Классификация

Identification of Oils from Samara Region Using Principal Component Analysis and Factor Discriminant Analysis

Development of methods for identification of oils is of high priority in oil industry. The following parameters for 2963 oil samples from five oilfields in the Samara region were determined: density, fraction yield at 200 °C and 300 °C, the mass fraction of sulfur, hydrogen sulphide, methyl and ethyl mercaptan, the mass concentration of chloride salts, the saturated vapor pressure. The matrix of experi- mental data was analyzed using principal component analysis (PCA) and factorial discriminant analysis (FDA) methods.

New to the Republic of Bashkortostan Associations of Class Phragmito-Magnocaricetea Klika in Klika et Novak 1941

The system of units of riverside vegetation by Braun-Blanquet method of the class Phragmito-Magnocaricetea of the Bashkortostan Republic includes 4 orders, 7 unions, 29 associations and 1 rankless community today. During studying of riverside vegetation 4 new associations (Scolochloetum festucaceae, Caricetum distichae, Iridetum pseudacori and Leersietum oryzoidis) which weren’t indicated for this region earlier were revealed. The order of Nasturtio-Glycerietalia and the Glycerio-Sparganion union are also for the first time indicated for the republic.