CE 582 - Statistical Hydrology
Required textbook: Statistical Methods in Water Resources by Dennis R. Helsel, Robert M. Hirsch, Karen R. Ryberg, Stacey A. Archfield, and Edward J. Gilroy (2020) (pdf)
Offered in the Spring semester every even year
Contents
1 Lectures
- Syllabus review
- Lecture 1: Introduction to statistical hydrology
- Lecture 2: Characteristics and measures of hydrologic data
- Lecture 3: Measures of variability
- Exercise 1: Streamflow data cleaning and measures
- Lecture 4: Graphical data analysis
- Lecture 5: Probability (Q-Q) plots
- Exercises 6: Chapter 2 Part 1
- Lecture 7: Scatterplots
- Lecture 8: Graphs for multivariate data
- Exercises 9: Chapter 2 Part 2
- Quiz 1
- Homework 3: Quiz 1
- Research and Creativity Week
- Lecture 10: Uncertainty
- Lecture 11: Parametric confidence interval for the mean
- Homework 4: Streamflow confidence interval
- Lecture 12: Nonparametric and parametric conference interval for the median
- Homework 5: Nonparametric confidence interval for the mean
- Lecture 13: Prediction interval
- AWRA 2024 GWTC: Fourier transform literature review
- AWRA 2024 GWTC: Fourier transform exercises
- Lecture 14: Fourier transform basics
- Lecture 15: Application of Fourier transform to hydrology
- Lecture 16: Hypothesis tests
- Religious holiday
- Lecture 17: Hypothesis tests
- Lecture 18: Rank-sum tests
- Lecture 19: Permutation tests
- Lecture 20: Paired sample tests
- Project work
- Quiz 2
- Final exam
- Project presentation