課程資訊
課程名稱
序率水文學
Stochastic Hydrology 
開課學期
103-1 
授課對象
共同教育中心  統計碩士學位學程  
授課教師
鄭克聲 
課號
BSE5034 
課程識別碼
622 U3600 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期五2,3,4(9:10~12:10) 
上課地點
生工202 
備註
總人數上限:30人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1031Stochastic_Hydro 
課程簡介影片
 
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課程概述

*** This course will be conducted in English if there are foreign students in this class. ***
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Hydrology is a branch of earth science focusing on water-related study. It is also an engineering discipline which deals with storage, discharge, and utilization of water. Almost all variables involved in hydrological processes exhibit certain degree of randomness. Either from a scientific or engineering point of view, understanding and characterizing the random nature of hydrological processes enables us to achieve sound water management practices. Stochastic hydrology is the study about characterizing the random nature of hydrological variables and establishing models that describe the spatial and temporal variations of these hydrological variables. In this course students will learn step by step from characterizing and simulating a single random variable to simulation of a random field which is composed of many correlated random variables in space. Stochastic simulation will be highly emphasized in class since it is the foundation for probability-based risk assessment. Familiarity of stochastic simulation will open a wide window of potential research and application subjects to students.  

課程目標
待補 
課程要求
待補 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
待補 
參考書目
待補 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
9/19  Stochastic simulation (I) Univariate simulation  
第2週
9/26  No class (A supplementary class will be scheduled)  
第3週
10/03  Hydrological frequency analysis (I)  
第4週
10/10  Holiday 
第5週
10/17  Hydrological frequency analysis (II)  
第6週
10/24  Stochastic simulation (II) Bivariate simulation  
第7週
10/31  Introduction to random processes  
第8週
11/07  Modeling the time variation of hydrological processes  
第9週
11/14  Stochastic simulation (III) Simulation of random processes  
第10週
11/21  Midterm exam  
第11週
11/28  Multi-site streamflow simulation  
第12週
12/05  Stochastic storm rainfall simulation model (SSRSM) - An introduction  
第13週
12/12  Truncated distributions - Truncated gamma distribution  
第14週
12/19  Gamma-Markov truncated gamma random process  
第15週
12/26  Assessing the impact of climate change on design storms  
第16週
1/02  Dealing with uncertainties in hydrologic modeling and forecasting  
第17週
1/09  Bootstrap resampling