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This lecture covers topics related to hydrological modeling, water resources engineering and management. It introduces physically-based hydrological models as a tool for water assessment and decision support. Actually, the required input data to these models is reviewed. These include advanced on-site observations, remote sensing sources handled by Geographical Information Systems. Optimization techniques in water management are also introduced. Then, water management experiences from different regions of the world are reviewed. Finally, the concepts of integrated water management are updated. Discussion among students about given topics is expected.
1. The water cycle and its main processes
2. Physically-based hydrological models
3. Monitoring of hydro-meteorology
4. Remote sensing data in Hydrology
5. GIS in Water Resources and Environment
6. Usage of optimization algorithms in water management
7. Structural Flood control in South East Asia
8. Non-structural Flood control in South East Asia
9. Nile River water resources, Egypt
10. Water scarcity in La Plata basin, South America
11. Water uses and withdraws in the USA
12. Water for Hydro power generation
13. Management concepts in water
14. Integrated water resources experiences
1.Applied Hydrology, Ven Te Chow, 1988
2.Manual of Hydrology, David Maidment, 1992
3.Water Resources Engineering, Larry W. Mays, 2004
4.GIS in Water Resources Engineering, Lynn E. Johnson, 2009
5.Integrated water resources management in practice, 2009
1. Advanced watershed hydrology
Physically-based hydrological modeling
Advanced monitoring techniques (on-site & remote sensing)
Geographical Information Systems in hydrology
Water flow forecast
2.Water resources engineering and management
Optimization techniques
Decision support systems
Water management concepts
Integrated water management experiences
Mid-term 25%
Final Written exam 30%
Final Oral presentation 20%
Lecture窶冱 exercise 5%
Assignments 20%
Expectations:
Enhance your understanding in watershed hydrology and water resources management
Improve self-study skills
Learn benefit from programming language and GIS in research
Be active during the class
Email: saavedra.o.aaツシm.titech.ac.jp
Tel. +81 3 5734 縲3687
Fax +81 3 5734縲3578
2-12-1 Ookayama, Meguro-ku,
Midorigaoka Build. 1, M1-22, Of. 504
Mon-Fri 9am-6pm