Frequency Analysis and Data Reading: Applied Hydrology Sections 12.3-12.6.

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Presentation transcript:

Frequency Analysis and Data Reading: Applied Hydrology Sections

2 Hydrologic extremes Extreme events Floods Droughts Magnitude of extreme events is related to their frequency of occurrence The objective of frequency analysis is to relate the magnitude of events to their frequency of occurrence through probability distribution It is assumed the events (data) are independent and come from identical distribution

3 Return Period Random variable: Threshold level: Extreme event occurs if: Recurrence interval: Return Period: Average recurrence interval between events equalling or exceeding a threshold If p is the probability of occurrence of an extreme event, then or

4 More on return period If p is probability of success, then (1-p) is the probability of failure Find probability that (X ≥ x T ) at least once in N years.

Upper Brushy Creek Hydrologic Model Jeff Irvin, URS

Hydrology: the Mindset Hydrology = Data (Rainfall, Runoff, Land Use) Data bad = Hydrology bad Data good = Hydrology good How do you test data?

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Choice of Calibration Storms: TS Hermine Are there enough data? Spatially vs storm shape

Choice of Calibration Storms Representative? In temporal shape 2007 Storm vs SCS 24 hour hyetograph TS Hermine vs SCS 24 hour hyetograph

Antecedent Moisture Condition p. 149 Applied Hydrology

Choice of Calibration Storms

Results of Rainfall/Runoff Calibration

Why are results inconsistent? Can we compare 2007 storm runoff results to 2012 storm runoff results? Are the conditions that affect runoff homogeneous between the two storms? Rainfall Land Use Soil Type % Impervious Antecedent Runoff Condition

Antecedent Runoff 2007 Rainfall 2010 Rainfall Are the two storms homogeneous in terms of antecedent conditions?

Results of Rainfall/Runoff Calibration Antecedent Runoff Condition 1 (Dry) Antecedent Runoff Condition 2 (Normal)

Results of Rainfall/Runoff Calibration