MATHEMATICALLY-STATISTICAL TREATMENT OF PARAMETERS OF TRANSFORMATION OF CATCHMENT BASINS OF THE RIVERS

Authors

  • L.O. Badynskyi National University of Water and Environmental Engineering, Rivne
  • D.S. Kosiak National University of Water and Environmental Engineering, Rivne

DOI:

https://doi.org/10.31713/vt120267

Keywords:

water object, river, river basin, transformation of parameters of catchment basins, anthropogenic influence, statistical treatment of information of data, equalization of regression, coefficients of correlation

Abstract

The estimation of transformation of parameters of catchment basins of the rivers of Ukrainian Polesye is considered in the article. Mathematically-statistical treatment of information of these parameters is executed. Conclusions are given in relation to the results of estimation and them statistical treatment. The degree of mastering of landscapes and degradation of natural complexes of the rivers are investigational and her catchment territories. Certainly for statistical treatment of information quantitative and quality descriptions of the natural and anthropogenic phenomena and processes are in the pools of the rivers. Examples of plenitude of quantitative and quality data of statistical treatment of information are set. Equalization of regression and coefficients of correlation of association of anthropogenic parameters (agricultural earth, building, is wind-eroded and the degraded earth) are certain with natural parameters (forests, meadows). The statistical graphic arts of dependences of natural and anthropogenic parameters are built in the pools of the rivers of Ukrainian Polesye. The crowd conditions of intercommunication of natural parameters and anthropogenic in pools rivers of Ukrainian Polesye are educed. It is set researches, that on reduction of natural parameters the increases of anthropogenic parameters influence on a line.

Author Biographies

L.O. Badynskyi, National University of Water and Environmental Engineering, Rivne

Candidate of Engineering Sciences (Ph.D.), Senior Laboratory Assistant

D.S. Kosiak, National University of Water and Environmental Engineering, Rivne

Candidate of Geographical Sciences (Ph.D.), Associate Professor

Published

2026-05-04

Issue

Section

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