«Methods development for geoinformational modelling of maximum channel expenses during spring floods and summer rain floods in the catchment», SR № 0112U005561, duration: 2012-2013, supervisor – Prof. Serhii Kostrikov.
Research project of the state budget funding.
The project is based on research and analysis of the role of the main factors of the channel costs from thawed snow during spring floods and summer of channel costs from storm floods in the ravine ravines and river catchment areas; development of methods for the practical implementation of distributed hydrological models of channel costs from thawed snow and rain floods by creating the module project GIS platform. The object of study - the processes and phenomena of liquid and solid flow in the channels of permanent and temporary streams that take place within the watershed; object of study - the patterns of formation (based on the number of natural and geographical factors), passing in the space distribution in time and affect other processes in catchments channel peak cost of permanent and temporary streams; object of development - distributed conceptual model of channel cost liquid from spring floods and summer rain floods and design functionality and corresponding interface (hydrological) module GIS platform. The subject of the implementation of the research should be established newest GIS technology modeling features of the hydrological regime of watersheds, in particular - the cost of extreme liquid channel during spring floods and summer rain floods; on what basis will be able to effectively forecast adverse exogenous processes watersheds caused by extreme meteorological phenomena. The said GIS technology that will be developed on the basis of a geo-modeling techniques, should be submitted as the project developed a broad and multi-functionality interface appropriate software. Results of research can be used to prepare theses, monographs, textbooks and manuals, as well as directly in the educational process - for training geographers.
Department in social networks