Flash Flood Risk Management â A Training of Trainers ... - ReliefWeb
Flash Flood Risk Management â A Training of Trainers ... - ReliefWeb
Flash Flood Risk Management â A Training of Trainers ... - ReliefWeb
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<strong>Flash</strong> <strong>Flood</strong> <strong>Risk</strong> <strong>Management</strong>: A <strong>Training</strong> <strong>of</strong> <strong>Trainers</strong> Manual<br />
Routing methods<br />
Session 13<br />
The basic principle <strong>of</strong> flood routing is the continuity <strong>of</strong> flow as expressed by the continuity equation. Several<br />
methods can be used to calculate flood routing, these include: modified plus, kinematic wave, Muskingum,<br />
Muskingum-Cunge, and dynamic (Chow et al. 1988). The following discussion is limited to the Muskingum<br />
method, a commonly used hydrological flood routing method that models the storage volume <strong>of</strong> flooding in a<br />
stream channel by a combination <strong>of</strong> wedge and prism storage.<br />
In the Muskingum method, K and X are determined graphically from the hydrograph, while in the Musking-<br />
Cunge method they can be determined using the following equations:<br />
∆X<br />
1 Qmax<br />
K = and X = (1 − )<br />
C k 2<br />
BS C x<br />
where C k<br />
is celerity and B is the width <strong>of</strong> the water surface.<br />
0<br />
k ∆<br />
The exercise in Box 13 makes the method much clearer. It shows the calculation <strong>of</strong> peak discharge at 6 km<br />
distance from the origin. The calculation can be carried out in a similar way for the remaining hydrographs at<br />
12 and 18 km distance.<br />
RM 13.5: <strong>Flood</strong> frequency and return period<br />
<strong>Flood</strong> frequency<br />
<strong>Flood</strong>s are recurring phenomena. The chance <strong>of</strong> a flood happening at a given location can be calculated<br />
using a probability function. One <strong>of</strong> the simplest probability functions used to determine flood intensity is the<br />
return period (T). It is a statistical estimate indicating the average recurrence interval based on data collected<br />
over an extended period <strong>of</strong> time. The return period is an important parameter required for risk analysis. Return<br />
period can be determined using the following equation:<br />
T =<br />
n + 1<br />
m<br />
where n is the number <strong>of</strong> years on record, and m is the rank <strong>of</strong> the flood being considered (in terms <strong>of</strong> the<br />
flood size in m³/sec).<br />
The return period is important in relating extreme discharge to average discharge. The return period has<br />
an inverse relationship with the probability (P) that the event will be exceeded in any year. For example, a<br />
10-year flood has 0.1 or 10% chance <strong>of</strong> being exceeded in any year while a 50-year flood has 0.02 (2%)<br />
chance <strong>of</strong> being exceeded in any year. The term ‘return period’ is actually a misnomer. It does not necessarily<br />
mean that the design storm <strong>of</strong> a 10-year return period will return every 10 years. It could, in fact, never occur,<br />
or occur twice in a single year. It is still considered a 10-year storm.<br />
The study <strong>of</strong> return period is useful for risk analysis (such as the natural, inherent, or hydrological risk <strong>of</strong><br />
failure). For structural design expectations, the return period is useful in calculating the risk to the structure with<br />
respect to a given storm return period given the expected design life. The equation for assessing this risk can<br />
be expressed as:<br />
_ 1 n<br />
n<br />
R = 1−<br />
(1−<br />
) = 1−<br />
(1−<br />
P ( X ≥ xT<br />
))<br />
T<br />
1<br />
where = P ( X ≥ x T<br />
) expresses the probability <strong>of</strong> the occurrence for the hydrological event in question, and<br />
T<br />
n is the expected life <strong>of</strong> the structure in years.<br />
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