Instructor: Harlan Bengtson
Credit Hours: 5.00

Approval Number: Not Required


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Course Description


An understanding of hydrology is important for many civil engineering, environmental engineering, and geotechnical related projects. This course is about the use of frequency analysis of peak flood data from a gaged site, including use of the standard normal distribution, the log normal distribution, the Gumbel extreme value distribution, and the Log-Pearson type III distribution.

This course is intended for hydrologists, civil engineers, hydraulic engineers, highway engineers, municipal engineers, geotechnical engineers and environmental engineers. An attendee of this course will gain knowledge about frequency analysis of peak flood data from a gaged site.

In this course, you need to review the material in the file, "Hydrology 2: Frequency Analysis of Flood Data ", which is composed of part of chapter 4 from "Highway Design Series No.2, Second Edition, put out by U.S. DOT in October 2002. Once you complete your course review, you need to take a multiple-choice quiz consisting of thirty (30) questions to earn 5 PDH credits. The quiz will be based on the entire document.



Course Objectives


Upon successful completion of this course, the student will be able to:

 

  • Understand standard terminology used in connection with frequency analysis of peak flood data from gaged sites.
  • Calculate the probability of a flood of specified return period being equaled or exceeded in a single year.
  • Use values for mean, standard deviation and skew of an annual series of peak flood rates in a variety of frequency analysis calculations.
  • Calculate the flood magnitude of specified return period using known mean and standard deviation of an annual series of peak flood magnitudes, assuming that the data fits a standard normal distribution.
  • Calculate the flood magnitude of specified return period using known mean and standard deviation of the logs of an annual series of peak flood magnitudes, assuming that the data fits a log normal distribution.
  • Calculate the flood magnitude of specified return period using known mean, standard deviation and skew of the logs of an annual series of peak flood magnitudes, assuming that the data fits a Log-Pearson type III distribution.
  • Calculate the flood magnitude of specified return period using known mean and standard deviation of an annual series of peak flood magnitudes, assuming that the data fits a Gumbel extreme value distribution.


Instructor Bio


Dr. Bengtson is a graduate of Iowa State University with B.S. and M.S. degrees and of the University of Colorado with a PhD. He is a licensed Professional Engineer in Missouri. He has spent 30 years in engineering education in teaching and administrative positions, including six years as Dean of Engineering at Southern Illinois University Edwardsville. His areas of expertise are environmental engineering, hydrology and hydraulics, engineering science and renewable energy systems. He did consulting work while holding the academic positions. Prior to entering academia, Dr. Bengtson worked for Minnesota Mining & Manufacturing as a Product Development Engineer and for E. I. duPont deNemours as a Process Development Engineer. Dr. Bengtson has authored numerous publications, presentations and technical reports. He is currently active in providing continuing education opportunities for Professional Engineers and is the founder of www.engineeringexceltemplates.com and www.EngineeringExcelSpreadsheets.com, sites with the objective of providing inexpensive, easy to use Excel spreadsheets for a variety of engineering calculations.



Other Approvals


National Professional Engineer board: Not Required