Hiroshima University Syllabus

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Academic Year 2021Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Transdisciplinary Science and Engineering Program
Lecture Code WSQN1401 Subject Classification Specialized Education
Subject Name Numerical Environmental Impact Assessment I
Subject Name
Subject Name in
Numerical Environmental Impact Assessment I
Instructor LEE HANSOO
リー ハンスウ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  Intensive
Days, Periods, and Classrooms (Int) Inte
Lesson Style Lecture Lesson Style
(More Details)
For the year of 2020: Online and On-demand course work by using Bb9 and Teams.
Lecture, Practice 
Credits 2.0 Class Hours/Week   Language on Instruction E : English
Course Level 6 : Graduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 13 : Civil Engineering
Eligible Students 1 year in Graduate School
Keywords Differential equation, boundary problem, finite difference, continuity equation of flow, momentum equation of flow, numerical model, numerical weather prediction 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Class Objectives
/Class Outline
In this lecture, numerical modeling techniques for environmental impacts assessment (air pollution, water pollution, water circulation in lake, and so on) and natural hazards (storm surge and waves, tsunami, and flooding) will be introduced. In class, students will learn the basin theoretical knowledge such as differential equations, boundary problem, finite different method, continuity and momentum equations for fluid, and practice numerical weather prediction. From this practice, students will learn basic principles for environmental impacts assessment and disaster mitigation. 
Class Schedule lesson1  Weather and Climate
lesson2  Weather and Climate
lesson3  Introductory physics of atmosphere and ocean
lesson4  Introductory physics of atmosphere and ocean
lesson5  Numerical weather prediction and
lesson6  Numerical weather prediction and
lesson7  Applications of weather research and forecast (WRF)
lesson8  Applications of weather research and forecast (WRF)
lesson9  WRF practice
lesson10  WRF practice
lesson11  WRF practice
lesson12  WRF practice
lesson13  WRF practice
lesson14  WRF practice
lesson15  Summary 
Text and material will be distributed. 
PC or AV used in
(More Details) PPT, lecture, practice of numerical modeling with Linux environment. 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Be familiar with Linux environment and script programming.  
Grading Method Participation and performance in the class will be evaluated.
(S >= 90, 90 > A >=80, 80 > B >= 70, 70 > C >= 60, 60 > Fail) 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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