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New Method of Description of Eddy-Covariance Ecologic Data

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dc.contributor Казанский федеральный университет
dc.contributor.author Nigmatullin Ravil Rashidovich
dc.contributor.author Litvinov Aleksandr Alekseevich
dc.contributor.author Osokin Sergey Igorevich
dc.date.accessioned 2025-10-24T07:50:57Z
dc.date.available 2025-10-24T07:50:57Z
dc.date.issued 2025
dc.identifier.citation Nigmatullin R.R. New Method of Description of Eddy-Covariance Ecologic Data / R.R. Nigmatullin, A.A. Litvinov, S.I. Osokin // Automatic Documentation and Mathematical Linguistics. - 2025. - Vol. 59. - Suppl. 1. - PP. S15-S28.
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/185453
dc.description.abstract In this paper, the authors propose the foundations of an original theory of quasi-reproducible experiments (QREs) based on the testable hypothesis that there exists an essential correlation (memory) between successive measurements. From this hypothesis, which the authors call for brevity as the verified partial correlation principle (VPCP), it can be proved that there exists a universal fitting function (UFF) for quasi-reproducible (QR) measurements. In other words, there is some common platform or bridge across which, figuratively speaking, a true theory (claiming to describe data from first principles or verifiable models) and an experiment offering this theory for verification of measured data, maximally cleaned from the influence of uncontrollable factors and apparatus/software function, meet. Actually, the proposed theory provides the potential researcher with a method of the purification of initial data, finally suggesting a curve that describes the data, is periodic, and is cleaned from a set of uncontrollable factors. The final curve corresponds to an ideal experiment. The proposed theory has been tested on eddy-covariance ecological data related to the content of CH4, CO2, and H2O in the local atmosphere, where the corresponding detectors for measuring of the desired gases content are located. For these tested eddy-covariance data associated with the presence of CH4, CO2, and H2O vapor in the atmosphere there is no simple hypothesis containing a minimal number of the fitting parameters, and, therefore, the fitting function that follows from this theory can serve as the only and most reliable quantitative description of this kind of data that belongs to the tested complex system. We should also note that the final fitting function that is removed from uncontrollable factors becomes purely periodic and corresponds to an ideal experiment. Applications of this theory to practical applications, its place among other alternative approaches (especially touching the professional interests of ecologists), and its further development are discussed in the paper.
dc.language.iso en
dc.relation.ispartofseries AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS
dc.rights открытый доступ
dc.subject quasi-reproducible experiments
dc.subject complex systems
dc.subject verified partial correlation principle
dc.subject universal fitting function
dc.subject quasi-periodic measurements
dc.subject quasi-reproducible measurements
dc.subject memory effects
dc.subject eddy covariance
dc.subject.other Математика
dc.subject.other Охрана окружающей среды
dc.subject.other Физика
dc.title New Method of Description of Eddy-Covariance Ecologic Data
dc.type Article
dc.contributor.org Институт информационных технологий и интеллектуальных систем
dc.description.pages S15-S28
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 59
dc.pub-id 318501
dc.identifier.doi 10.3103/S000510552570089X


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