Hydrologic Design and Management

Numbering Code G-ENG02 7F464 LJ73
G-ENG01 7F464 LJ73
Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Fri.2
Instructor name TACHIKAWA YASUTO (Graduate School of Engineering Professor)
ICHIKAWA YUTAKA (Graduate School of Engineering Professor)
(Graduate School of Global Environmental Studies Assistant Professor)
Outline and Purpose of the Course Hydrologic design and real-time rainfall-runoff prediction methods are described. The frequency analysis of hydrologic extreme values and the time series analysis of hydrologic variables are described, and then a procedure to determone an external force for the hydrologic design are explained. Next, a physically based hydrologic model which includes various processes of human activities for the hydrologic cycle is described. A flood control planning and water resources management with the use of innovative hydrologic simulation tools is described. Then, A real-time rainfall runoff prediction method with the use of Kalman filter theory is described.
Course Goals The class aims to understand the probabilistic and statistical analysis of hydrologic variables to determine the external force of hydrologic designs, applications of hydrologic simulations for hydrologic designs, and real-time rainfall and runoff prediction methods for water resources management.
Schedule and Contents Introduction,1time,A flood control planning and water resources planning are introduced.
Frequency analysis and hydrologic design,3times,The frequency analysis of hydrologic extreme values is described. The methods to set the external force for the hydrologic design are explained.
Time series analysis and hydrologic design,2times,The time series analysis of hydrologic variables is described. The methods to develop time series models, time serried data generation methods, spatiotemporal variation of hydrologic variables and a random field model, disaggregation methods are explained.
Hydrologic modeling and predictive uncertainty ,2times,Hydrologic models which include the process of human activities for the hydrologic cycle is described. Then, hydrologic predictive uncertainty is explained, which is inevitable coming from model structure uncertainty, parameter identification uncertainty and model input uncertainty. Especially, the relation between spatiotemporal scales of hydrologic modeling and model parameter values is described.
Hydrologic modeling system,2times,A hydrologic modeling system which helps to develop complicated hydrologic simulation models and its importance for a flood control planning is also described.
Watershed management for flood disaster,2times,Watershed management to mitigate flood disasters is described. A cost-benefit analysis of flood control measures is discussed.
Real-time rainfall runoff prediction,2times,A real-time rainfall runoff prediction method with the use of Kalman filter theory and a new filter theory is described.
Feedback of study achievement,1time,Feedback of study achievement is conducted.
Evaluation Methods and Policy Final report (100)
Course Requirements Basic knowledge of hydrology, probability and statistics are required.
Study outside of Class (preparation and review) Read the textbook and/or related documents in advance and work on assignments to improve understanding of the lecture contents.
Related URL
PAGE TOP