課程名稱 |
環境統計與風險評估 Environmental Statistics and Risk Assessment |
開課學期 |
104-1 |
授課對象 |
生物資源暨農學院 生物環境系統工程學研究所 |
授課教師 |
鄭克聲 |
課號 |
BSE5108 |
課程識別碼 |
622EU4400 |
班次 |
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學分 |
3 |
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 |
本課程以英語授課。與任秀慧合開 總人數上限:30人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1041BSE5108_ |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
Environmental statistics is simply the application of statistical methods to problems concerning the environment. It is a special field of statistics based on probability and statistics. It is often conceived to be a set of tools environmental scientists used to derive quantitative conclusion from their data obtained from systems in various fields including hydrology, ecology, geology, chemistry, epidemiology, oceanography, and atmospheric modelling. Though this field is relatively young, the relevant data analysis methods have been widely used for environmental research and practical activities such as:
monitoring air or water quality;
environmental monitoring near a hazardous or solid waste site;
risk assessment to determine whether a potentially contaminated/ physically degraded area needs to be cleaned up/ restored, and if so, how much;
assessing whether a previously contaminated/ physically degraded area has been cleaned up/ restored according to some specific criteria; and
risk analysis for flood mapping.
In spite of the usefulness and wide applicability of environmental statistics for data analysis in environmental management, misusing of statistical methods will always lead to misinterpretation of the situation and inappropriate decision making. To avoid such problem, it is important to understand the fundamental theories underlying the statistical methods commonly used for environmental data analysis, why and how to apply them on different types of data, and how to interpret the statistics results without bias.
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課程目標 |
Learning outcomes:
-Formulate environmental questions into statistical questions
-Design sampling program/ research experiment effectively
-Make quantitative estimation of environmentally meaningful parameters
-Result interpretation
-Understand assumptions of statistical methods
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課程要求 |
Continuous assessments (including Class assignments + Homework) -70%
Final project - 30%
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
指定閱讀 |
待補 |
參考書目 |
Environmental Statistics – Methods and Applications. Wiley, 2004.
Statistical Methods for Detection and Quantification of Environmental Contamination. Wiley, 2001.
Statistics for Environmental Science and Management. Chapman and Hall/CRC, 2001.
Statistical tools for environmental quality measurement. Chapman & Hall/CRC, 2004.
Statistics for the Environment 2 – Water Related Issues. Wiley, 1994.
Environmental and Health Risk Assessment and Management. Springer, 2006.
Probability Concepts in Engineering Planning and Design. John Wiley and Sons, 1975.
Modeling Hydrologic Change – Statistical Methods. Lewis Publishers, 2003.
Applied Multivariate Techniques. Wiley, 1996.
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評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
9/18 |
Course overview, Inferential statistics, Sampling design (RY) |
Week 2 |
9/25 |
Multivariate analyses I (RY) |
Week 3 |
10/02 |
Multivariate analyses 2 (RY) |
Week 4 |
10/09 |
University holiday |
Week 5 |
10/16 |
An introduction to Geostatistics (KSC) |
Week 6 |
10/23 |
Semivariogram modelling - I (KSC) |
Week 7 |
10/30 |
Semivariogram modelling - II (KSC) |
Week 8 |
11/06 |
Ordinary kriging (KSC) |
Week 9 |
11/13 |
Random field simulation (KSC) |
Week 10 |
11/20 |
Conditional random field simulation (KSC) |
Week 11 |
11/27 |
Monitoring network design (KSC) |
Week 12 |
12/04 |
Analysis of variance (RY) |
Week 13 |
12/11 |
Linear models (RY) |
Week 14 |
12/18 |
Risk assessment I (RY) |
Week 15 |
12/25 |
Risk assessment II (RY) |
Week 16 |
1/01 |
University holiday |
Week 17 |
1/08 |
Student presentation (KSC + RY) |
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