Applying GIS-technologies for spatial modeling of the territory of Sukhovolia village council in Lviv region

Remote Sensing & GIS for Environmental Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Mariia Malanchuk Ph.D. mariia.s.malanchuk [at] lpnu.ua a scientist
Lviv, Ukraine
Nazar Stupen Sc.D. nazar.m.stupen [at] lpnu.ua a scientist
Lviv, Ukraine
Oleksandra Hulko Ph.D. oleksandra.r.hulko [at] lpnu.ua a scientist
Lviv, Ukraine
Julia Zajats No zajatsjulia [at] gmail.com Master's student
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: 11.08.2022 - 00:08
Abstract 

Patial modeling of erosion processes by using tools of Erosion RUSLE module was made on the territory of Sukhovolia village council in Brody district. The GIS-analysis (the process of search for spatial regularities of data extension and relationships between them) can be simple (from the start of the map creation) and complex (the model creation). The GIS-analysis method was chosen with consideration of the set goal and the way of the research findings application in science and practice             The RUSLE was created to estimate long-term annual soil loss on the plowed territories for the following development of a complex of measures to introduce a system of sustainable farming with agro-ecological substantiation. Application of GIS-technologies in computing will significantly simplify the procedure of obtaining final results and contribute to their complex analysis (Manuel R. Reyes, 1998). Development of GIS environment for analysis of the erosion loss of soil in Sukhovolia village council on the base of empiric equation (RUSLE) is the relevant solution of the problem. Basing on the aggregate data and composed schematic maps of erosion loss of the soil layer, calculated by means of the Erosion RUSLE module, the authors of the work have identified the erosion risky plots, dependence of erosion loss on the type of land use and slope steepness, as well as the ways to prevent the negative processes. It is determined that the RUSLE erosion model is created to estimate the long-term average soil loss caused by surface water erosion on the specific area with different vegetation and system of soil treatment.

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