Geoinformation Modelling and Mapping of Wind Resource Potential within the Rata River Basin

GIS Technologies for Decision-Making and Management

Authors

First and Last Name Academic degree E-mail Affiliation
Nazar Vano No nazar.vano [at] lnu.edu.ua Ivan Franko National University of Lviv
Lviv, Ukraine
Olha Blazhivska No olha.blazhivska [at] lnu.edu.ua Ivan Franko National University of Lviv
Lviv, Ukraine
Yurii Andreichuk Ph.D. yuriy.andreychuk [at] lnu.edu.ua Ivan Franko National University of Lviv
Lviv, Ukraine
Liudmyla Kurhanevych Ph.D. lyudmyla.kurhanevych [at] lnu.edu.ua Ivan Franko National University of Lviv
Lviv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 22.08.2025 - 12:05
Abstract 

The study focuses on the modelling and mapping of wind resources within the Rata River basin, located on the territories of Poland and Ukraine, a left tributary of the Western Bug (Vistula basin). The analysis used spatial data from the Global Wind Atlas and daily wind speed and direction records from the Rava-Ruska meteorological station for 2024. Within a GIS environment, spatial modelling of wind speed at heights of 50 and 100 meters above ground level was performed, a series of thematic maps was generated, and zones with the highest wind potential were identified. It was established that throughout the year, winds with speeds of 2–6 m/s (12–25 days per month) prevail within the study area, with maximum values occurring in December, November, and January, and minimum values in July and August. The diurnal wind speed pattern is characterized by a decrease from 05:00 to 12:00 and a gradual increase in the afternoon. The prevailing wind directions are west and southwest. Spatial analysis of the obtained data revealed that areas with increased wind speeds (2–9 m/s) are concentrated in the central and southeastern parts of the basin. The results can be applied in planning environmental monitoring, wind energy infrastructure, and assessing the region's renewable energy potential.

References 

Archive of Weather Rava-Ruska. (2025). Weather archive Rava-Ruska. meteoblue. https://www.meteoblue.com/uk/weather/historyclimate/weatherarchive/Рава-Руська_ukraine_695781

Brixen, P. A. (2024, August 27). DTU’s wind atlas gets global breakthrough. Technical University of Denmark. https://www.dtu.dk/english/newsarchive/2024/08/dtu-wind-atlas-gets-global-breakthrough

Greenpeace. (2024). Ukraine: Mapping the energy opportunities. Greenpeace Germany. https://www.greenpeace.de/publikationen/20240411-greenpeace-report-ukraine-mapping-energy-opportunities.pdf

Lee, S. (2025, June 11). Ultimate guide to wind shear exponent. Number Analytics. https://www.numberanalytics.com/blog/ultimate-guide-to-wind-shear-exponent

Lopez-Villalobos, C. A., Martínez-Alvarado, O., Rodriguez-Hernandez, O., & Romero-Centeno, R. (2022). Analysis of the influence of the wind speed profile on wind power production. Energy Reports, 8, 8079–8092. https://doi.org/10.1016/j.egyr.2022.06.046

Mortensen, N. G., et al. (2023). The Global Wind Atlas: A high-resolution dataset for wind resource assessment. Bulletin of the American Meteorological Society, 104(8), E1728–E1746. https://doi.org/10.1175/BAMS-D-21-0075.1

Technical University of Denmark (DTU Wind & Energy Systems), & World Bank (Energy Sector Management Assistance Program). (2025). Global Wind Atlas (Version 4.0) [online tool]. ESMAP. https://globalwindatlas.info

Ukrainian Wind Energy Association. (2021). Wind power of Ukraine 2021. UWEA. https://uwea.com.ua/uploads/docs/uwea_2021_en_web_2.pdf

Young, M., & Vilhauer, R. (2003, August 1). Sri Lanka Wind Farm Analysis and Site Selection Assistance (NREL/SR-710-34646). National Renewable Energy Laboratory. https://doi.org/10.2172/15004300