CEE Water and Environmental Seminar

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Presentation transcript:

CEE Water and Environmental Seminar Estimating design floods in a warming climate – gaps, challenges, and the way forward Dr. Ashish Sharma, University of New South Wales, Sydney, Australia, Friday, September 9 @ 2:30 pm, ENGR 108 A lot has been said and written about climate change and how it may make floods more frequent and extreme. This talk will outline what needs to change in a warmer climate for design floods to increase or decrease, present data based (as opposed to model based) evidence for all the changes, and present a sensible way design flood estimation should be approached in this new climate we are in. These changes present the clearest evidence till date that design flood magnitudes for urban catchments across the world are increasing, a change that needs to be accepted and factored into our planning guidelines urgently given the implications this has to our existing stormwater infrastructure and society in general.

Temporal Variability of Hydrologic Data

Logan River Annual Aggregate Time Series 500 1000 1500 2000 2500 1920 1930 1940 1950 1960 1970 1980 1990 cfs mean cfs 7 day min cfs max cfs

Random variables Probability density function Cumulative distribution

From Dingman, 2002

Mean of Monthly Streamflow. Alafia River

Storage-Yield Analysis Used to size a reservoir given a streamflow time series. An application of mass balance concepts

Storage-Yield Analysis Sequent Peak Procedure Rt = y Kt = Kt-1 + Rt – Qt If Kt < 0, Kt=0 S = Max(Kt)

Reservoir Storage-Yield Analysis R/Q

Box Plot Outliers: beyond 1.5*IQR Whiskers: 1.5*IQR or largest value Box: 25th %tile to 75th %tile Line: Median (50th %tile) - not the mean Note: The range shown by the box is called the “Inter-Quartile Range” or IQR. This is a robust measure of spread. It is insensitive to outliers since it is based purely on the rank of the values.

Reservoir Reliability Analysis

From http://www.nytimes.com/2008/02/13/us/13mead.html Barnett, T. P., and D. W. Pierce (2008), When will Lake Mead go dry?, Water Resour. Res., doi:10.1029/2007WR006704, in press.

From NRC Colorado River Basin Management, 2007

From NRC Colorado River Basin Management, 2007

From NRC Colorado River Basin Management, 2007

From NRC Colorado River Basin Management, 2007

From NRC Colorado River Basin Management, 2007

Lake Powell Capacity 27 MAF

Reading Loucks, D. P., E. van Beek, J. R. Stedinger, J. P. M. Dijkman and M. T. Villars, (2005), Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, UNESCO, Paris, 676 p, http://hdl.handle.net/1813/2804. Tarboton, D. G., (1994), "The Source Hydrology of Severe Sustained Drought in the Southwestern United States," Journal of Hydrology, 161: 31-69, http://dx.doi.org/10.1016/0022-1694(94)90120-1. Barnett, T. P. and D. W. Pierce, (2008), "When will Lake Mead go dry?," Water Resour. Res., 44: W03201, http://dx.doi.org/10.1029/2007WR006704. National Research Council Committee on the Scientific Bases of Colorado River Basin Water Management, (2007), Colorado River Basin Water Management: Evaluating and Adjusting to Hydroclimatic Variability, National Academy Press, Washington, DC, http://books.nap.edu/catalog.php?record_id=11857.