CASE STUDIES OF DAM-BREACH GEOMETRY AND HYDRAULICS
Victor M. Ponce
Professor, Department of Civil and Environmental Engineering,
San Diego State University, San Diego, California 92182-1324
Ahmad Taher-Shamsi
Associate Professor, Amirkabir University of Technology, Tehran, Iran;
Currently on sabbatical leave at the Department of Civil and Environmental Engineering,
San Diego State University, San Diego, California 92182-1324
Ampar V. Shetty
Research Associate, Department of Civil and Environmental Engineering,
San Diego State University, San Diego, California 92182-1324
ABSTRACT
A review of dam-breach parameters and prediction methods
developed from the analysis of historic embankment-dam failures is performed. A new shape factor
representing dam-breach geometry is formulated.
A relationship between Froude number based on peak discharge and the new shape factor is identified.
INTRODUCTION
Dams provide many benefits to society; however,
floods resulting from dam failures have produced some of
the most devastating disasters of the last two centuries (Wahl, 1998).
Therefore, earth-dam failure has become a subject of
increasing concern among dam engineers, federal, state, and local officials, and
society at large.
Despite the existence of ample documentation,
the prevailing mechanisms for earth-dam failure are still not clearly understood.
Studies have shown that earth-dam
failures can be due to many causes. Generally, these are classified into:
(1) hydrologic, and (2) geotechnical.
Failure usually results in the eventual development of a breach compromising
a certain length of embankment. The breach width has been documented in a large
number of cases.
Dam-breach studies have shown
that the shape and time evolution of the breach
determine to a large extent the characteristics
of the outflow hydrograph (Ponce, 1982).
The objective of this paper is to develop a dimensionless
relationship between geometric and hydraulic parameters governing earth-dam breach
failures.
For this purpose, the following
geometric and hydraulic parameters are defined:
Breach maximum depth Db
Breach top width Wb
Breach peak outflow Qp
Breach time-to-failure tf
Dam maximum height Hd
Dam top width Wd
Reservoir volume Vr
Reservoir characteristic length Lr
CASE STUDIES OF DAM-BREACH FAILURES
Valuable information is available from embankment failures that have been documented.
Wahl (1998) identified many breach-prediction equations developed since 1984.
These equations have been based on
analyses of case studies comprising from 20 to 60 failures.
Sources of case-study data for breached dams
are numerous. However, many of the failures have taken
place before the need was recognized to fully document the breach process
and associated breach characteristics.
Babb and Mermel (1968) summarized over 600 dam
incidents throughout the world; however, high quality, detailed
information was lacking in most cases.
During the 1980's, several researchers compiled
databases of well documented case studies in efforts
to develop predictive relations for
breach peak outflows (SCS, 1981; Ponce, 1982; Singh and Snorrason, 1982;
MacDonald and Langridge-Monopolis, 1984; Costa, 1985; Froehlich, 1987, 1995a, 1995b;
Singh and Scarlatos, 1988).
Wahl (1998) performed a literature search to produce a
single database containing all case studies cited, comprising
a total of 108 embankment failures.
The type, amount and quality of data available for individual case studies
varied widely. There are many instances of significant discrepancies
between similar data reported by different investigators.
Researchers have proposed many
relations for estimating breach parameters and peak outflows.
The effect of breach parameters on peak discharge and evacuation time has been
reported in the literature. The peak
discharge was examined by Singh and Sorranson (1984).
Petrascheck and Sydler (1984)
demonstrated the sensitivity of peak outflow, inundation level, and flood-arrival
time to changes in breach width and breach-formation time.
The shape and time evolution of the breach, along with the size of dam and reservoir,
determine to a large extent the characteristics of
the outflow hydrograph during an earth-dam breach (Ponce, 1982).
Singh and Sorranson (1982) provided the first quantitative
guidance on breach width; they plotted breach width vs dam height for
twenty dam failures.
MacDonald and Langridge-Monopolis (1984) related the breach time-to-failure to
the volume of eroded material.
The volume of eroded material was related to the breach-formation factor,
defined as the product of the outflow volume times the
initial depth of water above the breach bottom.
Froehlich (1987) developed nondimensional prediction equations for estimating
average breach width, average side-slope factor,
and breach-formation time. Froehlich's
predictions were based on the characteristics of the dam,
including reservoir volume, depth of water
above the breach bottom, breach depth, length of embankment at the dam crest,
breach bottom width, and empirical coefficients that account
for overtopping vs non-overtopping failures and the presence or absence of a
core wall.
Singh and Snorrason (1982; 1984) presented relations for peak outflow
as a function of dam height and reservoir storage.
Froehlich (1995a) developed a regression equation for the prediction of peak
outflow based on reservoir volume and hydraulic head. He used
data from 22 case studies for which peak outflows were available.
Harris and Wagner (1967) applied the Schoklitsch sediment-transport
equation to dam-breach outflows.
Lou (1981), and Ponce and Tsivoglou (1981) developed
a model that linked the Meyer-Peter
and Muller sediment-transport equation to the
one-dimensional differential equations of unsteady water and sediment flow.
Walder and O'Connor (1997) presented a physically-based model
of dam-breach formation, and used it to relate dimensionless peak outflow
to a dimensionless parameter containing drop in reservoir level,
volume of released water, and mean vertical erosion rate of the breach.
Ponce (1982) defined a Froude number based on breach peak outflow and related it to
a shape factor defined as follows: S = (WbDb) / (WdHd).
The result showed a definite trend to an inverse
relationship. Ponce's results were very similar to those reported by Black (1925).
However, both relations show a poor fit
to the data, as depicted in Fig. 1
.
DATA ANALYSIS
A comparison was made between Ponce's data and the Dam Safety Office database (Wahl, 1998).
It was determined that only 25 cases reported by Wahl are useful for this study;
ostensibly, these are the same as those reported by Ponce (1982).
A review of this work indicates
that it was collected directly from original sources.
For this reason, it is preferred for use in this study.
The following peak-outflow Froude number was used in this study:
| (Eq. 1) |
in which g= gravitational acceleration.
A new shape factor Sf is defined as follows:
| (Eq. 2) |
An analysis of the relation between peak-outflow Froude number
and the new shape factor Sf, based on all the available data,
led to the graphs shown in
Fig. 2 and
Fig. 3.
The relationship is:
| (Eq. 3) |
with a coefficient of determination r2= 0.75.
According to Fig. 3,
there are two limiting trends:
When Sf approaches 0, F increases above 1.
For F = 1, the shape factor Sf = 0.00269.
The ratio Vr /(Wd Hd) can be taken as the characteristic length
of the reservoir Lr. Therefore, when Lr is greater than or equal
to 371Wb,
F is greater than or equal to 1.
When Sf approaches 1, F approaches 0.
In other words, when Lr equal to Wb, F approaches 0.
In this condition, there is no flow that would create a dangerous flood.
Given Eq. 3, the peak-outflow Froude number can be calculated as a function of the new shape factor.
For example, in the case of Teton Dam
failure, with Vr= 355 million m3, Hd= 93 m,
Wd= 945 m, and assuming Db= Hd,
a sensitivity analyses is performed to determine peak outflows for a possible range of breach widths.
The calculations are presented in dimensionless form
in Fig. 4, in which Wba is the assumed value of
breach width and Wbd is the documented value of breach width; Qpc is the calculated value
of peak outflow and Qpd is the documented value of peak outflow. It is seen that peak outflow is not too sensitive
to breach width, which enhances its prediction.
CONCLUSIONS
Based on the available data, there seems to be a good correlation between
the peak-outflow Froude number F and the new shape factor Sf.
In addition, the reservoir characteristic length Lr
is an indicator of the quantity of water which is responsible for the magnitude of peak outflows
during a dam breach.
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