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Statistical Hydrology. Read Chapter 2 (McCuen 2004) for background review Supplementary materials: Parameter Estimation: (a) Method of Moments * Product Moments (covered in CIVL181) * L-Moments (b) Method of Likelihood (covered in CIVL181). Statistical Moments.

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statistical hydrology
Statistical Hydrology
  • Read Chapter 2 (McCuen 2004) for background review
  • Supplementary materials:
    • Parameter Estimation:

(a) Method of Moments

* Product Moments (covered in CIVL181)

* L-Moments

(b) Method of Likelihood (covered in CIVL181)

Statistical hydrology

statistical moments
Statistical Moments
  • Product Moments: E[Xr]

- Disadvantages:

(a) Sensitive to the presence of outliers;

(b) Accuracy deteriorates rapidly as the order of moment

increases

  • Probability-Weighted Moments (PWM):

- Def: Mr,p,q = E{Xr [F(X)]p [1-F(X)]q }

- Especially attractive when the CDF, F(x), has a closed-

form expression

- Special cases

(a) Mr,0,0= E[Xr]

(b) M1,0,q = aq ; M1,p,0 = bp

Statistical hydrology

relations between moments and parameters of selected distribution models tung et al 2006
Relations between moments and parameters of selected distribution models (Tung et al. 2006)

Statistical hydrology

statistical moments 2
Statistical Moments (2)
  • L-Moments:

A linear combination of order statistics

  • Specifically, for the first 4 L-moments:

Statistical hydrology

analogy between l and product moments
Analogy Between L- and Product-Moments

Product Moments L-Moments

m (mean) l1 (mean)

s (stdev) l2 (L-std)

Cv = s/mt2 = l2/l1 (L-Cv)

Cs = m3/s3t3 = l3/l2 (L-Cs), | t3|<1

Ck = m4/s4t4 = l4/l2 (L-Ck), -0.25<t4<1

Statistical hydrology

l moments distribution parameter relations
L-moments & Distribution Parameter Relations

From “Frequency Analysis of Extreme

Events,” Chapter 8 in Handbook of Hydrology,

By Stedinger, Vogel, and Foufoula-Georgiou,

McGraw-Hill Book Company, New York,

1993

Statistical hydrology

l moment ratio diagram
L-Moment Ratio Diagram

Statistical hydrology

statistical moments 3
Statistical Moments (3)
  • Relations between L-moments and b-moments:

Statistical hydrology

sample estimates of statistical moments
Sample Estimates of Statistical Moments

Product Moments

L- Moments

Statistical hydrology

example 1 a
Example-1(a)

Statistical hydrology

example 1 b
Example-1(b)

Statistical hydrology

example 1 c
Example-1(c)

Statistical hydrology

types of hydrologic data series
Types of Hydrologic Data Series

Statistical hydrology

return period recurrent interval
Return Period (Recurrent Interval)
  • The return period of an event is the time between occurrences of the events. The events can be those whose magnitude exceeds or equals to a certain magnitude of interest, i.e, XxT
  • In general, the actual return period (or inter-arrival time) between the occurrences of an event could vary. The ‘return period’ commonly used in engineering is the expected (or long-term averaged) inter-arrival time between events.
  • Return period depends on the time scale of the data. E.g., using annual maximum (or min.) series, the return period is year.
  • Return period T = 1/Pr[XxT]
  • To avoid misconception and mis-interpretation of an event, e.g., 50-year flood, it is advisable to use “flood event with 1-in-50 chance being exceeded annually”.

Statistical hydrology

distributions commonly used in hydrologic frequency analysis
Distributions Commonly Used in Hydrologic Frequency Analysis
  • Normal Family – Normal, Log-normal
  • Gamma Family – Pearson type III, Log-Pearson type III
  • Extreme Value – Type I (for max. or min) - Gumbel

Type II (for min) – Weibull

Generalized Extreme Value

Statistical hydrology

graphical frequency analysis
Graphical Frequency Analysis
  • Data are arranged in ascending order of magnitude,

x(n) x(n-1) ··· x(2) x(1)

  • Compute the plotting position for each observed data

Weibull plotting position formula:

P[X≤x(m)]=m/(n+1)

See other formulas

  • Plot x(m) vs. m/(n+1) on a suitable probability paper. (Commercially available are normal, log-normal, and Gumbel probability papers)
  • Extrapolate or interpolate frequency curve graphically.

Statistical hydrology

plotting position formulas
Plotting Position Formulas

Statistical hydrology

example 2 graphical procedure
Example-2 (Graphical Procedure)

Statistical hydrology

normal probability plot
Normal Probability Plot

Statistical hydrology

log normal probability plot
Log-normal Probability Plot

Statistical hydrology

gumbel probability plot
Gumbel Probability Plot

Statistical hydrology

frequency factor method
Frequency Factor Method

Statistical hydrology

issues in frequency analysis
Issues in Frequency Analysis
  • Selection of distribution and parameter estimation
  • Treatment of zero flows
  • Detection and treatment of outliers (high or low)
  • Regional frequency analysis
  • Use of historical and paleo data

Statistical hydrology

example analytical procedure
Example (Analytical Procedure)

Statistical hydrology

uncertainty of sample quantiles
Uncertainty of Sample Quantiles

Statistical hydrology

1 a ci for sample quantiles
(1-a)% CI for Sample Quantiles

Statistical hydrology

example c i
Example (C.I.)

Statistical hydrology

hydrologic risk
Hydrologic Risk
  • For a T-year event, P(XxT)=1/T. If xT is determined from an annual maximum series, 1/T is the probability of exceedance for the hydrologic event in any one year.
  • Assume independence of occurrence of events and the hydraulic structure is design for an event of T-year return period.

Failure probability over an n-year service period, pf, is

pf = 1-(1-1/T)n (using Binomial distribution)

or pf = 1-exp(-n/T) (using Poisson distribution)

  • Types of problem:

(a) Given T, n, find pf

(b) Specify pf & T, find n

(c) Specify pf & n, find T

Statistical hydrology

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