Regional Statistical Hydrology and Flood Prediction

Denver, Colorado
Thursday, March 29, 2018

Regional Statistical Hydrology
and Flood Prediction

Regional Statistical Hydrology and Flood Prediction
Thursday, March 29, 2018 8:30 AM -
Friday, March 30, 2018 5:00 PM (Mountain Time)

Leonard Rice Engineers Offices
(303) 455-9589
1221 Auraria Parkway
Denver, Colorado 80204
United States

Map and Directions
When:  See Above

Where:  See Above

Cost:  General Registration: $790.00
               early registration $725.00 until March 2nd
 
            CASFM Members: $740.00 
               early registration $695.00 until March 2nd
Discount for CASFM members is made possible because this class is sponsored
in part by Urban Drainage & Flood Control District.


CEU’s: 
You will be eligible to receive 1.5 CEU's or 15 PDH's.
                You will receive 12 ASFPM Core CEC’s for
                CFM certification.

What you will learn:
This course will review the hydrologic statistical and stochastic theories and then focus on the practical  approaches to analyze the long term stream or rainfall records. Examples and workshops are developed to learn how to use the computer models: HEC-SSP, PeakFQ, StreamStats and USGS nation-wide data base to conduct: (a) discharge-frequency analysis, (b) flow-duration analysis, (c) mixed population analysis at a stream gage. Repeating the same procedures to a set of gages along a river basin, we can further conduct the regional regression analysis for flow predictions at ungagged sites. This course will follow the procedures outlined in the Bulletin 17B and the Bulletin 17C to analyze Annual Maximum and Annual Exceedance databases recorded at a stream gage station with adjustments on data skewness, outlier, and zero-flows. Workshops are designed to have hands-on practices on how to develop the best-fitted model using (a) Log-Pearson Type III, (b) Gumbel, (c) Exponential, (d) Normal, and (e) Log-normal distribution. 

For complete data analysis, this course will extend hydrologic statistic approach into stochastic time series analysis. Stochastic hydrologic analyses methods aim at: a) simulating the hydrologic system based on the observed time series data and predicting the value of some variable at non-observed times, while also stating how uncertain the developed model is when making the predictions. Lectures will cover the topics, including introduction to stochastic model for time series analysis, Markov Chain, risk and cost, etc. The participants will develop adequate statistical skills on hydrologic data analyses for applications at office next-day after the class.

Computers:  Bring your own. No loaners are available.
We recommend that you preinstall the following software before coming to class., both are available for downloading at:
- USGS's PEAKQF v.7.1 http://water.usgs.gov/software/PeakFQ/ 
- USACE HEC-SSP v2.1.1 http://www.hec.usace.army.mil/software/hec-ssp/download.aspx 

Faculty:
Prof. James C.Y. Guo, PhD, P.E.
is professor and director at University of Colorado Denver. Dr. Guo has been teaching engineering hydrology and hydraulics since 1982. He is active in applied research and is a practicing engineer. Dr. Guo’s research work has been referenced in number of City and County drainage manuals in United States and refereed journals. He will bring to the class the latest development and practices in hydrologic statistics and stochastics.
Dr. H. M. Max Shih, PhD, P.E., CFM, is a senior water resources engineer at CDM Smith in Denver, Colorado and has more than 18 years of global experience spanning the United States, Chile, Mexico, Australia, New Zealand, South Africa, Papua New Guinea, Serbia, Taiwan and China. He has managed, technically supported, and provided leadership for more than 100 surface water, urban drainage, dam hydrology and hydraulics (H&H) and sediment transport projects. Dr. Shih is a very experience instructor providing the professional training classes of water resources engineering and serves as a technical paper reviewer for journals and conferences. He will share his years of experience in hydrology and hydraulics with the class.
Mr. Amanullah Mommandi, MSCE, P.E.
,
is the Colorado Department of Transportation (CDOT) Director of Applied Research and Innovation Branch. He has an outstanding service of more than 28 years at the CDOT.  He has managed CDOT Plan of Action (POA) for Scour Critical Bridges and Bridges with Unknown Foundations. His specialty includes watershed analysis, roadway hydraulic designs, river morphology, bridge scour, and sediment transport. He was the key supporter to develop the Colorado StreamStats Program.  Mr. Mommandi is currently managing CDOT Research Branch with projects in the area of Structure, Geotechnical, Hydrology, Hydraulics, Pavement Management, Safety, Traffic and Water Quality.

Colorado is a great place to visit in March!
March offers great skiing in Colorado. There is also a wide selection of cultural places to visit in the Denver area as well as many outstanding restaurants.  Denver is also known for its wide array of microbreweries, brewpubs and beer cafes and if you are a beer enthusiast there are many for you to enjoy.

The size of the classroom will be limited. To assure a space click the "Register Now" button near the top of this page.

In addition, you may call UWRI directly at 303-728-4449 or e-mail the Institute at info@uwtrshd.com.

 

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