DOI: https://doi.org/10.32515/2664-262X.2023.7(38).1.77-85

Methods of Determining Climatic Loads According to the Data of the Regional Network of Weather Stations

Victor Pashynskyi, Mykola Pashynskyi

About the Authors

Victor Pashynskyi, Professor, Doctor in Technics (Doctor of Technic Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, e-mail: pva.kntu@gmail.com, ORCID ID: 0000-0002-5474-6399

Mykola Pashynskyi, Associate Professor, PhD in Technics (Candidate of Technics Sciences), Central Ukraіnian National Technical University, Kropyvnytskyi, Ukraine, ORCID ID: 0000-0002-2669-523X

Abstract

The work is devoted to the adaptation of the planar approximation method to determine the characteristic values of snow cover weight and wind pressure at a given design point based on the data of a local network of weather stations. Important elements of the research are the provision of specified reserves for the determination of characteristic values, as well as the analysis of the possibility of using a single equation for the entire territory of each of the administrative regions of Ukraine. The initial data are characteristic values of snow cover weight and maximum wind pressure with a recurrence period of 50 years at 171 plain weather stations of Ukraine. According to the data of the weather stations of the region, the equation of the Euclidean plane is established by the method of least squares, which generally reflects the trend of territorial changes in the characteristic value of the load. Calculations for three project points from different geographical regions of Ukraine showed that the equations of the approximating Euclidean plane should be made taking into account the data of the local network of weather stations located within a radius of 100...150 km from the project point. Based on the obtained equation and the geographical coordinates of the design point, the desired characteristic value of the load is calculated. The necessary reserves in determining the characteristic values of the loads are provided taking into account the statistical distribution of the data of individual weather stations relative to the obtained Euclidean plane. In order to substantiate the possibility of describing the trends of territorial changes in the characteristic values of snow and wind loads within the entire territory of the administrative region with a single equation of the Euclidean plane, calculations were made for five regions of Ukraine. The deviations obtained by this equation of the characteristic values of the loads from the actual data of individual weather stations are basically close to the similar deviations of the territorial zoning maps of the current DBN B.1.2-2:2006 "Loads and influences". The results of the study confirmed the possibility of determining the characteristic values of climatic loads at a given geographic (design) point with a given level of security according to the equation of the Euclidean plane, which was established by the method of least squares based on the data of the local network of weather stations in the region. In most cases, this equation can be the same for the entire territory of the administrative region. The division of the territory of the region into parts with significantly different climatic conditions contributes to the reduction of probable errors in determining the characteristic values of loads.

Keywords

climatic loads, meteorological data, territorial changes

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References

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Citations

  1. Regionalization of the climatic areas of Qazvin Province using multivariate statistical methods / Fatemeh Shahriar, Majid Montazeri, Mehdi Momeni, Alireza Freidooni . Modern Applied Science . 2015. Vol. 9, No 2. P. 123-138. URL : http://www.ccsenet.org/journal/index.php/mas/article/view/44144 (дата звернення: 07.03.2023)
  2. Analysis of Methods for Determining Climate Loads at a Specified Territory Point by Meteorological Data / Željko Kos*, Viktor Pashynskyi, Yevhenii Klymenko, Mykola Pashynskyi . Tehnički glasnik (Technical Journal). Vol. 14, No. 2, June 2020. Р. 206-211. https://doi.org/10.31803/tg-20191125075805
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Copyright (c) 2023 Victor Pashynskyi, Mykola Pashynskyi