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Gumbel 500-year flood, 95% limits, 30 years

Short answer

Subtracting equations: σ = (1200-1060)/(3.653-3.026)=223.1 m³/s, mean=385.1 m³/s. 500-yr: K=5.104, discharge=1524 m³/s. 95% confidence limits: 1524±1.96×245.3 = 1043 to 2004 m³/s.

Using 30 years data and Gumbel's method, the flood magnitude for return period of 100 and 50 years for a river are found to be 1200 and 1060 m3^3/s respectively.

(i) Determine the mean and standard deviation of the data used. Take values of reduced mean and reduced standard deviation in Gumbel's extreme value distribution for n = 30 as 0.5362 and 1.1124. (ii) Estimate the magnitude of the flood with a return period of 500 years. (iii) What are the 95% confidence limits for this estimate if f(95%)=1.96f(95\%) = 1.96.

(i) Mean and standard deviation

yˉn=0.5362\bar y_n=0.5362, Sn=1.1124S_n=1.1124, yT=−ln⁡[ln⁡(T/(T−1))]y_T=-\ln[\ln(T/(T-1))], K=(yT−yˉn)/SnK=(y_T-\bar y_n)/S_n, xT=xˉ+Kσx_T=\bar x+K\sigma.

T (yr)yTy_TKKxTx_T (m³/s)
1004.6003.6531200
503.9023.0261060

Subtract the two equations:

σ=1200−10603.653−3.026=223.1 m3/s\sigma=\frac{1200-1060}{3.653-3.026}=223.1 \text{ m}^3/\text{s} xˉ=1200−3.653×223.1=385.1 m3/s\bar x=1200-3.653\times223.1=385.1 \text{ m}^3/\text{s}

Answer: mean = 385.1 m³/s, standard deviation = 223.1 m³/s.

(ii) 500-year flood

y500=−ln⁡[ln⁡(500/499)]=6.214,K=6.214−0.53621.1124=5.104y_{500}=-\ln[\ln(500/499)]=6.214,\qquad K=\frac{6.214-0.5362}{1.1124}=5.104 x500=385.1+5.104×223.1=1524 m3/sx_{500}=385.1+5.104\times223.1=1524 \text{ m}^3/\text{s}

Answer: x500x_{500} ≈ 1524 m³/s.

(iii) 95% confidence limits of the 500-year flood

b=1+1.3K+1.1K2=1+1.3(5.104)+1.1(5.104)2=6.024b=\sqrt{1+1.3K+1.1K^2}=\sqrt{1+1.3(5.104)+1.1(5.104)^2}=6.024 Se=bσN=6.024×223.130=245.3 m3/sS_e=\frac{b\sigma}{\sqrt N}=\frac{6.024\times223.1}{\sqrt{30}}=245.3 \text{ m}^3/\text{s} xT′=xT±f(c)Se=1524±1.96×245.3=1524±481x_T'=x_T\pm f(c)S_e=1524\pm1.96\times245.3=1524\pm481

Answer: 95% confidence limits are 1043 m³/s and 2004 m³/s.

✓ Answer checked by Claude Sonnet 5.5

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