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This course is NY approved. This course is also accepted in the States of AK, AL, AR, FL, GA, IA, ID, IL, IN, KS, KY, LA, MD, ME, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, OH, OK, OR, PA, SC, SD, TN, TX, UT, VA, WI, WV and WY. |
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 Chapter 4 of the "Highway Design Series No.2, Second Edition, published by U.S. DOT in October 2002, and provided below. Once you complete your course review, you need to take a multiple-choice quiz consisting of twenty-five (25) questions to earn 5 PDH credits. The quiz will be based on this DOT publication. |
At the conclusion of this course, the student will
· Be familiar with standard terminology used in connection with frequency analysis of peak flood data from gaged sites.
· Be able to calculate the probability of a flood of specified return period being equaled or exceeded in a single year.
· Be able to use values for mean, standard deviation and skew of an annual series of peak flood rates in a variety of frequency analysis calculations.
· Be able to 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.
· Be able to 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.
· Be able to 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.
· Be able to 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. |
