Hydrology BC ENV 3025
Streams and floods
- extremes in hydrology take many forms,
from
extremes
in magnitude and length
- by defintion, an extreme event must be
rare
and unusual
- magnitude and frequency of extreme events
can
be
estimated from ordinary, not as severe events
- floods are very important issues all over
the
world
- current examples: Venezuela,
Mozambique,
Hurricane
Floyd, Katrina
The nature and causes of floods (and droughts)
- for a hydrologist, a flood is a discharge
rate that
execeeds some threshold value, generally floods
occur
when
a river overtops its banks
and flows across the floodplain
- the principal causes of floods in the
Eastern United States and the Gulf Coast are hurricanes and storms
- the principal causes of floods in the
Western United States are snowmelt and rainstorms
- in rivers, floods and low flows are
expressions of
the temporal variability in rainfall or snowmelt interacting with river
basin characteristics (basin form, hillslope properties, channel
network
properties)
- flooding may also be the result of sudden
release
of water from dams or lakes, ice jams
- climate cycles
- most techniques described above tend to
treat
floods
or droughts as random events in a stationary series. However, climate
and
riverflow are clearly non-stationary and follow trends and cycles
- example: The 1922 Colorado Compact
apportioned water
rights on the basis of the average discharge from 1896-1930 (21 billion
m3/y) while in 1931-65, the discharge rate was 16 billion m3/y
- examples for teleconnections: El
Nino, possibly sunspot cycles, some of these are quite controversial
- long term drought in wstern US as
reconstructed from tree rings (Cook et al., 2004) (Fig)
- floods cause the biggest natural hazard
damage in
the US, example: Mississippi flood, 1993
- damages
caused
by
floods in the US (Fig)
- More than half of all fatalities during
floods are auto related, usually the result
of drivers misjudging the depth of water on a road and the force of
moving
water. A car can float in just a few inches of water.
- definition of a drought even more
difficult
than
the definition of floods
- British Rainfall Organization: absolute
drought =
15 consecutive days with less than 0.25mm/day on any day, partial
drought:
at least 29 consecutive days with a mean rainfall less than
0.25mm/day
- agricultural droughts: 'at least a
partial
crop failure'
- hydrological drought: actual flow in
the
rivers is
of most concern; length and extremeness of flow below a certain level
are
important ; e.g.: low flows of 10-day duration that occur no more than
5% of the time
- various drought indices,
e.g.
the Palmer drought severity index (PDSI)
The hydrograph
- a graph of river stage or discharge
versus
time at
a point is called a stage or discharge hydrograph (Fig5.1)
- there are about 6000 gaging stations in
the
US that
typically measure stage, which needs to be converted into discharge
rate
using a calibration or rating curve (Fig5.3,
Snake River in Colorado, Q = 76.5*stage4.1), dimensions!
- a typical hyetograph and hydrograph of a
creek in
VA (Fig5.4)
- peaks in the hydrograph are called floods,
background
discharge
between
peaks is called baseflow
- differences in hydrographs of three
streams (Fig5.5)
Flood prediction
- Student Excercise: How can we
predict
extreme
events? Download the daily discharge rate data for the Mississippi at St
Louis, MO, (St_Louis_daily_70s.tsv).
Convert
the
file
into an EXCEL spreadsheet and plot the timeseries of the
discharge. Consider overlaying the data for all 10 water years. Also
look
at a map that shows the Mississippi River Basin (Fig).
Can you see any patterns? When do flood occur and why? How could you
predict
floods? This Fig shows the
discharge
rate for 4 years in the 1970s.
Flood routing
- movement of flood waves, complicated as a
result
of many factors, which?
- example: Flooding in Central
Virginia,
June, 1995
- flood warning and flood mitigation
depends on
how
quickly a flood crest travels downstream and how high it gets; example:
nested basins of the Potomac river (Fig5.6)
- flood routing: prediction of downstream
hydrograph,
if the upstream hydrograph is known
- flood routing in rivers and by
reservoirs
- dV/dt = I-O
- we will explore the case of
reservoir
routing
(Fig5.7), see
Explore5.doc
excercise
- we can adjust the dimensions of the
reservoir
(Fig5.8)
and the initial conditions and look at the relationship between inflow
and outflow (Fig5.10)
Flood frequency analysis
- simplest approach: use worst event on
record
- past record key for the future? Statistical
techniques
use
the following approach:
- highest discharges recorded in each
year
are listed
- the floods are ranked according to
magnitude, the
largest flood is assigned a rank 1, the second largest rank 2, etc
- The flood statistics are estimated
graphically by
plotting on normal probability paper the logarithm of discharge for
each
flood in the annual series against the fraction of floods greater than
or equal to that flood; this fraction is given by r/(n+1), where r is
the rank of the particular flood (Fig5.13)
- r/(n+1) is the exceedence probability for
this particular
event
- the return period, the average span of
time
between
any flood and one equaling or exceeding it, is calculated as Treturn =
1/(exceedance probability).
- the 100 year flood can then be
estimated
from the
graph
- exmple: Holiday
Creek, VA (Fig5.13)
- another way of estimating flood
frequencies
(as discussed
in precipitation lecture):
- list the maximum annual discharge
values
(Qmax)
- calculate the logarithm of the
discharge
rates and
make a histogram of the log (Qmax) data
- if log (Qmax) is normally distributed,
determine
average and standard deviation
- use EXCEL's NORMINV function to
determine
the the
log(Qmax) corresponding to the exceedence probability of interest (e.g.
0.01 for the 100 year flood)
- transform log(Qmax) back to Qmax
- normal distribution works often well with
precipitation
data, log-normal for discharge
- look
at
the
following two rivers, plot a timeseries
of the peak discharge, make a histogram and determine the 100 and 1000
year flood
- problems: not deterministic, based
usually on
non-adequate
data, climate and terrestrial environment is variable
Resources
USGS
fact sheet
Drought
indices
Cook, E.R. et al.: Long-Term Aridity Changes in the Western
United States, Science, Vol. 306, No. 5698, pp. 1015-1018, 5 November
2004
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