Using <strong>the</strong> regional equation Qest 1940 m'ls, as in Example I Combining <strong>the</strong>se estimates from <strong>the</strong> record and regional equation, using a weighting factor of 0.5 <strong>for</strong> both (see section 5.2.2), gives a = 0.5x1435+0.5x194O 1688 m',/s (b) As N< 10, <strong>the</strong> regional curve should still be applied to estimate Q,oo. The curve ordinate is unchanged at Q,oolQ : 2.89 (c) Combining <strong>the</strong> estimates of Q and Q,oolQ results in Q,oo 1688 x 2.89 = 4878 m!/s (d) In obtaining <strong>the</strong> standard error of estimate, <strong>the</strong> RHS terms in Equation 3.25 changed from Example I <strong>are</strong> E(Q) = 1688 m3,/s and <strong>the</strong> variance of Q estimated from <strong>the</strong> flood record is given by E(Q) and var(Q) 1704 m'ls (cu.Q)' N = (0.54 x 1704)' = 6.048 x 10. t4 There<strong>for</strong>e, from Equation 3.25 var(Qroo) l1M' x 0.522 + 2.89' x 6.048 x l0' = 2.021 x 106 Thus Se(Q'oo) : (2.021 x106)v, 1422 m3/s which is 2590 of Q,oo 5.4.4 Example 4: N:21 (a) As in Example 3, Q can be estimated directly from <strong>the</strong> annual series. var(Qo6) - (Cn'Qou')' 2t N i]r where C" : The Cn <strong>for</strong> <strong>the</strong> 0.54 from 2l years of record is 0.43, which comp<strong>are</strong>s Figure 4.12 well with <strong>the</strong> regional estimate of C" : 9.54 Thus var(Qo6) : (0.54 x (b) Since T ) 5N and N > 20, frequency analyses may be 1435)' : 2.002 x l0' per<strong>for</strong>med on <strong>the</strong> annual series using two- and three-parameter distributions. The EVI distribution fitted by <strong>the</strong> 3 The variance maximum of likelihood method gives Q estimated from a good fit to <strong>the</strong> data <strong>the</strong> regional equation is <strong>the</strong> and yields same as in Example l, i.e., var(QesJ = 3.410x105 Q'oo : 4l7O m'/s and an approximate standard error of estimate of 800 m',/s. From Equation 4.10, <strong>the</strong> variance of <strong>the</strong> combined estimate (This of Q is standard error is based on a <strong>for</strong>mula used by NERC (1975, p. 170), assuming Cu : 0.54). l:l+l (c) The corresponding estimate using <strong>the</strong> regional curve is var(Q) var(Qo') var(Q.r¡) 2.002 x l0r Q,oo 1665x2.89:4812m3/s and <strong>the</strong> associated standard error of estimate is obtained + from Equation 3.25 as 3.410 x l0r var(Q,oo) 1665' x 0.522 + 2.8g'z x (0'54 x 1665)'z so that var(Q) = 1.261 x 105 2l Hence from Equation 1.769 x loó 3.25 so that var(Qroo) 1688' 0.522 + 2.89'? x 1.261 x 105 : 2.541 x Se(Q'oo) 1330 m3,/s which is 2490 of 106 Q,oo and Se(Q,oo) = (2.541 x l0ó)/z 1594 m!/s, which is 2890 of Q,oo 5.4.5 Results Summary Table 5.2 summarises <strong>the</strong> estimates of Q and Q'oo obtained in <strong>the</strong> four examples using <strong>the</strong> RFE method. 5.4.3 Example 3: N: 14 The reduction in <strong>the</strong> standard error of estimate in Table (a) As N > N"( = 3), Q can be estimated directly from <strong>the</strong> 5.2 with increase in record length illustrates <strong>the</strong> value of increasing lengths of flood record. In Example 4, a second annual series. Hence estimate of Q,oo : 4l7O m'ls (by frequency analysis of <strong>the</strong> l4 2l years ofrecord) is available and a designer would choose a = I a weighted mean of <strong>the</strong> two. I ei =1704m',/s It will be seen that <strong>the</strong> estimate of Q in <strong>the</strong> second example, obtained by combining <strong>the</strong> estimates from <strong>the</strong> re- 14 i-: I gional equation and <strong>the</strong> three years of record, is closer to (b) Applying <strong>the</strong> regional curve produces <strong>the</strong> Q estimate using <strong>the</strong> full flood record than that in Example 3 which is based on 14 years and, as a consequence, Q'oo :1704 x2.89 = 4925 m3/s <strong>the</strong> corresponding Q,oo estimate is also closer to <strong>the</strong> Qroo estimate determined from <strong>the</strong> full record. Although this may be a chance result it does emphasise that even a short (c) The new RHS terms in Equation 3.25 <strong>are</strong> flood record is useful. Water & soil technical publication no. 20 (1982) 81 a 2t = I )- Qi:1665m'/s
The estimate of Q from <strong>the</strong> regional equations is as accurate as an estimate from about three y€ars of record (Table 4. l2). If <strong>the</strong> typical variability is checked by drawing samples from <strong>the</strong> Motu data listed earlier, or by considering <strong>the</strong> standard error of <strong>the</strong> regional equation, it will be seen that this particular estimate from <strong>the</strong> regional equation is <strong>for</strong>tuitously close to <strong>the</strong> estimate from 2l years of record. Table 5.2 Summary of selected results from <strong>the</strong> RFE method. Example number 1 2 3 4 Length of recor.d (yrsl o 3 14 21 Estimate ofO (m3/s) 39 28 25 24 82 Water & soil technical publication no. 20 (1982)
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WATER & SOIL TECHNICAL PUBLICATION
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Regional flood est¡mat¡on in New
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Tables 1.1 Risk ofexceedence for sp
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Preface Water & soil technical publ
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annual flood Q (the mean of the ann
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Water & soil technical publication
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Þ I"IEST COFST 0 o I E 6o o o 25 3
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