Climatic and hydrological extremes analysis using data mining methods and other hydroinformatic tools in terms of adaptation structures in the landscapeSupervisor: prof. Ing. Milan Čistý, PhD.
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|Project description:||The project will examine the benefits of applying the data mining methods and other hydroinformatic methods (heuristic methods, data-driven methods, genetic programming, geostatistics, GIS) in preventing hydroclimatic risks in landscape. On the basis of this methodological apparatus investigators also look for new, effective methods to optimize investment in adaptation measures in the landscape (particularly the water management structures). The scientific focus of the project lies in comparison of data mining with standard simulation and optimization methods. By hybridizing the different methods and algorithms authors want to contribute to the expansion of tools for landscape engineering to increase the potential for qualified landscape protection solutions to drought and heat waves, as well as developing tools for operation analysis and irrigation systems' reconstruction. Methodology serving as an integrating element will also provide new tools for the management of the opposite extreme - flood protection.|
|Kind of project:||VEGA ()|
|Department:||Department of Land and Water Resources Management (FCE)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2015|
|Project close date:||31. 12. 2018|
|Number of workers in the project:||2|
|Number of official workers in the project:||0|