APPLIED HYDROLOGY Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering
Course objectives Over the last several decades the study of hydrology has made great strides and emerged from an engineering discipline into a multidisciplinary field of study. From the fundamental principles and theories of hydrological processes to engineering design and operation practices of hydrological/hydraulic facilities, and to monitoring the effect of climate changes on hydrological processes, the study of hydrology involves multiple aspects including geoscience, engineering design and practice, and environmental monitoring and adaptation.
The study of hydrology is about monitoring, analyzing and modeling hydrological processes. Hydrological processes on one hand are described by physical principles and/or conceptual models, they are on the other hand associated with various degrees of uncertainties. Uncertainties which are embedded in nearly all hydrological processes stem from (1) natural variabilities of many variables involved in the hydrological processes and (2) our limited knowledge of the hydrological processes. As a result, hydrologists nowadays are keen aware of the importance of assessing the uncertainties associated with all hydrological studies.
This course is intended to offer students a holistic and integrated view of the field of multidisciplinary hydrology. The material covered in this course will be divided into three major categories: (1) hydrological engineering design, (2) modeling hydrological processes, and (3) Assessing risks related to hydrological studies.
Grade policy Homeworks (70%), Midterm exam (15%), Final exam (15%)
Syllabus Part I – Engineering Hydrological Design 1. Rainfall observation and analysis [Lecture PPT]
Part II – Hydrological modeling and forecasting 1. Drought modeling and drought indices 2. Rainfall and flood flow forecasting
(1) GMS spatial convolution approach (2) QPESUM (3) ECMWF ensemble precipitation forecasting (4) Rain-burst and autoregression coupled model
3. Assessing model performance uncertainties
Part III – Global hydrology and climate change 1. Overview of GCMs 2. GCM scenarios 3. Downscaling techniques 4. GCM outputs evaluation and bias corrections 5. Hydrological scenarios 6. Stochastic storm rainfall simulation model 7. Assessing the impact of climate change on hydrological extremes 8. Modeling uncertainties of climate change Final Exam
COURSE Announcements"
Hourly rainfall data of the Sun-Xia station has been uploaded. [02/20/2012]