541-0115/01 – Applied hydroinformatics (AHIF)
| Gurantor department | Department of Geological Engineering | Credits | 4 |
| Subject guarantor | doc. RNDr. Jan Unucka, Ph.D. | Subject version guarantor | doc. RNDr. Jan Unucka, Ph.D. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 2 | Semester | winter |
| | Study language | Czech |
| Year of introduction | 2010/2011 | Year of cancellation | 2014/2015 |
| Intended for the faculties | HGF | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The course aims to familiarize students with the most advanced IT applications in the field of hydrology and environmental issues in connection with the water component in the landscape. Major emphasis is placed on a special software that provides the analytical and simulation capabilities - namely GIS, remote sensing and environmental mathematical models. And as commercial tools, the freeware tools and the open source software. An essential chapter is a discussion of theoretical and practical aspects in particular the collection and analysis of input data, uncertainty analysis of input data and preparing data files for specific modeling tools with database and GIS tools. Finally, specific applications are discussed tools hydroinformatics level of engineering applications, emergency management and hydro-meteorological forecasting, environmental sector and the sector of agriculture, particularly aquaculture and forestry.
Output knowledge, skills and competence:
After completing the course the student should demonstrate knowledge of concepts of environmental modeling and hydroinformatics should be able to analyze a particular problem to solve, choose the appropriate procedures and methods to define the requirements for input data, and finally choose an adequate instrument for the actual solution. This helps to understand the basic principles of environmental modeling and hydroinformatics . And at both theoretical and practical level in particular, which consists mainly of selecting appropriate tools, methods, data collection and the actual application of software to solve the problem.
Teaching methods
Lectures
Summary
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
The study of recommended literature.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
• Basic characteristics of the subject, new trends and conflicts, the history of hardware, basic principles and concepts of Hydroinformatics, difference between computational hydraulics and Hydroinformatics.
• List of hydrological, meteorological and climatic characteristics necessary for the Hydroinformatics analytic tools
• Database systems, secondary data processing, relational databases, internal databases, languages, SQL, QBE, cursors
• GIS as a tool for management and presentation of information in water management and environmental protection
• Digital terrain models and CAD, Data preparation for simulation models, boundary and initial conditions, Time series
• Computational Hydraulics, Modern methods of simulation tools programming, standards and principles, Procedure of creation a deterministic simulation model
• Creation a mathematical model, the general principles, the basic distribution of models, temporal and spatial dependence of the described phenomena, dynamic
• Complex simulation tools and their function in deciding on the implementation of complex ecological investments
• Artificial intelligence and its possible role in Hydroinformatics systems, basic definitions and elements of artificial intelligence.
• Applied Hydroinformatics in urban watersheds.
• Flood protection of urban units, Applied Hydroinformatics in the catchment area of large river systems, flood protection methodology in the newly adopted EU flood directive, influence of major meteorological and hydrological parameters for rainfall-runoff processes in river basin
• New trends in Hydroinformatics, modern trends in modeling, integration of technological systems, optimization methods, modeling based on the defined uncertainty
• Practical discussion of the completed project
• Credit
• Semester thesis, presentation confrontation with the defense of group opinions
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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