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Comprehensive Risk Assessment for Natural Hazards - Planat

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84 Chapter 8 — Strategies <strong>for</strong> risk assessment — case studies<br />

projects on an average annual basis can be computed. These<br />

avoided damages constitute the primary benefit of the projects,<br />

and by subtracting the project cost (converted to an<br />

average annual basis) from the avoided damages the net<br />

economic benefit of the projects is obtained.<br />

The traditional approach to planning of flood-damagereduction<br />

projects is similar to the minimum life-cycle cost<br />

earthquake-design method with the constraint of achieving<br />

a specified level of protection. That is, the flood-damagereduction<br />

alternative that maximizes net economic benefits<br />

and provides the specified level of protection would be the<br />

recommended plan unless it was unacceptable with respect<br />

to the “additional considerations.”<br />

The risk-based analysis offers substantial advantages<br />

over traditional methods because it requires that the project<br />

resulting in the maximum net economic benefit be identified<br />

without regard to the level of protection provided.<br />

There<strong>for</strong>e, the vulnerability (from an economic viewpoint)<br />

of the flood-plain areas affected by the project is directly<br />

considered in the analysis, whereas environmental, social<br />

and other aspects of vulnerability are considered through<br />

the “additional considerations” in the decision-making<br />

process. In the example presented in the USACE manual on<br />

risk-based analysis (USACE, 1996), the project that resulted<br />

in the maximum net economic benefit provided a level of<br />

protection equivalent to once, on average, in 320 years.<br />

However, it is possible that in areas of low vulnerability, the<br />

project resulting in the maximum net-economic benefit<br />

could provide a level of protection less than once, on average,<br />

in 100 years. A more accurate level of protection is<br />

computed in the risk-based analysis by including uncertainties<br />

in the probability model of floods and the hydraulic<br />

trans<strong>for</strong>mation of discharge to stage rather than accepting<br />

the expected hydrological frequency as the level of protection.<br />

This more complete computation of the level of<br />

protection eliminates the need to apply additional safety<br />

factors in the project design and results in a more accurate<br />

computation of the damages avoided by the implementation<br />

of a proposed project.<br />

Monte Carlo simulation is applied in the risk-based<br />

analysis to integrate the discharge-frequency, stagedischarge<br />

and stage-damage relations and their respective<br />

uncertainties. These relations and their respective uncertainties<br />

are shown in Figure 8.4. The uncertainty in the<br />

discharge-frequency relation is determined by computing<br />

confidence limits as described by the Interagency Advisory<br />

Committee on Water Data (1982). For gauged locations, the<br />

uncertainty is determined directly from the discharge data.<br />

For ungauged locations, the probability distribution is fit to<br />

the estimated flood quantiles, and an estimated equivalent<br />

record length is used to compute the uncertainty, through<br />

the confidence-limits approach. The uncertainty in the<br />

stage-discharge relation is estimated using different<br />

approaches dependent on available data and methods used.<br />

These approaches include: direct use of corresponding stage<br />

data and streamflow measurements; calibration results <strong>for</strong><br />

hydraulic models if a sufficient number of high water marks<br />

are available; or Monte Carlo simulation considering the<br />

uncertainties in the component input variables (Manning’s<br />

n and cross-sectional geometry) <strong>for</strong> the hydraulic model<br />

Discharge (Q)<br />

Stage (S)<br />

Flood hazard<br />

Exceedance probability<br />

Uncertainty in stage<br />

Discharge (Q)<br />

Uncertainty in discharge<br />

Exceedance probability<br />

(e.g., USACE, 1986). The uncertainty in the stage-damage<br />

relation is determined by using Monte Carlo simulation to<br />

aggregate the uncertainties in components of the economic<br />

evaluation. At present, uncertainty distributions <strong>for</strong> structure<br />

elevation, structure value and contents value are<br />

considered in the analysis.<br />

The Monte Carlo simulation procedure <strong>for</strong> the riskbased<br />

analysis of flood-damage-reduction alternatives<br />

includes the following steps applied to both without-project<br />

and with-project conditions (USACE, 1996).<br />

(1) A value <strong>for</strong> the expected exceedance (or nonexceedance)<br />

probability is randomly selected from a<br />

uni<strong>for</strong>m distribution. This value is converted into a random<br />

value of flood discharge by inverting the expected<br />

flood-frequency relation.<br />

(2) A value of a standard normal variate is randomly selected,<br />

and it is used to compute a random value of error<br />

associated with the flood discharge obtained in step 1.<br />

This random error is added to the flood discharge<br />

obtained in step 1 to yield a flood-discharge value that<br />

includes a crude estimate of the effect of uncertainty<br />

resulting from the sampling error <strong>for</strong> the preselected<br />

probability model of floods. The standard deviation <strong>for</strong><br />

the standard normal variate is determined from the<br />

previously described confidence limits of the flood<br />

quantiles.<br />

(3) The flood discharge obtained in step 2 is converted to<br />

the expected flood stage using the expected stagedischarge<br />

relation.<br />

(4) A value of a standard normal variate is randomly selected,<br />

and it is used to compute a random value of error<br />

associated with the flood stage computed in step 3. This<br />

random error is added to the flood stage computed in<br />

Discharge (Q)<br />

Damage ($)<br />

Uncertainty in damage<br />

Stage (S)<br />

Figure 8.4 — Uncertainty in discharge, stage and damage as<br />

considered in the US Army Corps of Engineers risk-based<br />

approach to flood-damage reduction studies<br />

(after Tseng et al., 1993)

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