Quantitative Hydrology - WASR 4500/6500

Course Summary

Quantitative analysis of hydrologic processes, including precipitation, water yield, stormwater runoff, flood routing, groundwater flow, and water quality. Used to describe, understand, predict, and manage hydrologic behavior in both natural and developed environments.




  1. Importance of Hydrology
  2. Mathematical Hydrology
  3. Watershed Hydrology
  4. Statistical Hydrology
  5. Atmospheric Hydrology
  6. Stormwater Hydrology
  7. Physical Hydrology
  8. Flood Hydrology
  9. Subsurface Hydrology
  10. Chemical Hydrology
  11. Hydrologic Modeling
  12. Biological Hydrology
  13. Lake and Wetland Hydrology
  14. Snow Hydrology
  15. Student Presentations

University Honor Code

Students shall adhere to UGA's Student Honor Code: "I will be academically honest in all of my academic work and will not tolerate academic dishonesty of others." A Culture of Honesty -- UGA's policy and procedures for handling cases of suspected dishonesty -- can be found at www.uga.edu/honesty.

Class Schedule and Grading

  • Lectures: Tu/Th, 930 - 1045
  • Weekly assignments
    • Homework due Thursdays (5 points each)
    • Problem sets due Thursdays (5 points each)
  • Exams, take home, open book/notes (50 points each)
    • Exam 1 (Chap 1-5): Th, Week 6
    • Exam 2 (Chap 6-10): Th, Week 11
    • Exam 3 (Chap 11-14): Th, Week 16
  • Term project (100 points)
    • Week 2: Project teams organized (10 pts)
    • Week 4: Project summary (10 pts)
    • Week 11: Interim report (20 pts)
    • Week 14: Draft report (20 pts)
    • Week 15: Class presentation (20 pts)
    • Week 16: Final report (40 pts)
  • Participation, class attendance, and peer evaluation (50 points)
  • Grading:
    A > 93 > A- > 90 > B+ > 87 > B > 83 > B- > 80 > C+ > 77 > C > 73 > C- > 70 > D > 60 > F
  • Makeup: None without advance notice.
  • Course evaluation: https://www.franklin.uga.edu/evaluation/login.php

Term Project

  • Potential Projects
    • Tallassee Shoals Tract. Relative pristine forest stream with linear disturbance on north side of Athens.
    • UGA Lake Herrick. Recreational lake that is now closed due to water quality problems. Compare different inflows to the lake with outflows.
    • UGA streams. Stinky Creek, Tanyard Branch, and Physical Plant Stream flow through campus with lots of pollution. Compare water quality during low and high flows
    • Athens Rainfall. Examine spatial variability of daily rainfall using radar, remote sensing, COCORAHS, and other data sources
    • Oconee Rivers. Examine longitudinal variation of water quality above, through, and below Athens. Use data from a float trip or grab samples at bridges or other access points.
    • Green Roof. Compare runoff from vegetative roof against conventional roof. We have a measuring system on the Boyd Science Building that could be used.
  • Organization
    • Students will work in teams, with 3-5 students per team.
    • Students decide what team they belong to, and hold their first meeting in the first week or so. Ideally, the field data acquisition program will be associated with research related to the team leader's research project.
    • A description of the term project must be submitted by the team leader. The term project will be reviewed and returned to the team leader. A preliminary draft should be submitted before the final report is due so that you can incorporate recommended changes.
  • Each team will
    • Be responsible for collecting and reporting their hydrologic data.
    • Decide what data to collect, who will collect the data, and how often to collect the data.
    • Have a graduate student leader, either a masters or a doctoral candidate.
    • Have individuals from multiple programs (e.g., soils, engineering, geology, ecology, water resources).
  • Final Report: Also presented to the class at the end of the semester.
    • The reason for collecting the data
    • The procedures used for collecting and interpreting the data
    • A summary of the data collected
    • A statistical analysis of the data
    • Conclusions about what the data indicate
    • Evaluation of other team members