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PMP/PMF – Stochastic Flood Analysis Comparison of Methodologies 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000 240000 0 24 48 72 96 120 144 168 Discharge (cfs) Elapsed Time (Hours) Applegate Dam and Reservoir Outflow Flood Inflow Flood 400 410 420 430 440 450 460 470 480 490 RESERVOIR STAGE (Feet) ANNUAL EXCEEDANCE PROBABILITY Extreme Value Type 1 Plotting Paper Top of Flood Control Pool 1997 Flood 1986 Flood 10 -4 10 -2 10 -3 10 -6 10 -5 0.5 10 -1 Western Hydropower Dam Owners Workshop July, 2011

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Page 1: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

PMP/PMF – Stochastic Flood Analysis

Comparison of Methodologies

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Dis

char

ge (c

fs)

Elapsed Time (Hours)

Applegate Dam and Reservoir

Outflow Flood

Inflow Flood

400

410

420

430

440

450

460

470

480

490R

ESER

VOIR

STA

GE

(Fee

t)

ANNUAL EXCEEDANCE PROBABILITY

Extreme Value Type 1 Plotting Paper

Top of Flood Control Pool

1997 Flood

1986 Flood

10-410-2 10-3 10-610-50.5 10-1

Western Hydropower Dam Owners

Workshop July, 2011

Page 2: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Deterministic PMF…

A single flood hydrograph is developed

for assessing the hydrologic and hydraulic adequacy

of a dam and reservoir project

PMF Inflow

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0 24 48 72 96 120 144 168

Dis

char

ge (c

fs)

Elapsed Time (Hours)

Applegate Dam and Reservoir

Outflow Flood

Inflow Flood PMF Sensitivity Analyses

sometimes used

to further assess

project adequacy

Page 3: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Stochastic Flood Analysis…

Multi-thousand flood hydrographs computed to develop

flood-frequency relationships for peak inflow, runoff volume,

maximum reservoir level and maximum spillway releases

based on diversity of storms/floods representative of basin

Robust examination

of reservoir response

to wide range of

flood characteristics 400

410

420

430

440

450

460

470

480

490R

ESER

VOIR

STA

GE

(Fee

t)

ANNUAL EXCEEDANCE PROBABILITY

Extreme Value Type 1 Plotting Paper

Top of Flood Control Pool

1997 Flood

1986 Flood

10-410-2 10-3 10-610-50.5 10-1

Hydrologic Hazard Curve for Max Reservoir Level is Primary Deliverable

Page 4: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Stochastic Flood Analysis… Flood-frequency relationships developed

for any flood characteristics of interest

using flood hydrographs generated from stochastic simulations

Other flood-frequency characteristics can be computed such as:

duration of spillway operation or dam overtopping at certain thresholds

Page 5: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Storm Magnitudes …

PMP can be viewed

as one extreme

storm among

a range of extreme

storms

PMP/PMF Stochastic Flood Analysis

72-Hour PMP

Full Range of Storm Magnitudes Basin-Average 72-hr

Precipitation-Frequency Curve

Page 6: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Storm Seasonality …

PMP/PMF Stochastic Flood Analysis

Month yielding largest flood from PMP

Storm/Flood Dates for full range observed in historical record

American River Watershed

9.0

10.0

11.0

12.0

13.0

14.0

15.0

16.0

17.0

18.0

NON-EXCEEDANCE PROBABILITY

NU

ME

RIC

AL S

TO

RM

DAT

E

.5 .98.7 .9 .999.99.95

Normal Plotting Paper

.02 .05 .8.6.4.2.1 .3.001 .01

Normal Distribution

72-Hour Extreme Storms

0.00

0.03

0.06

0.09

0.12

0.15

0.18

0.21

0.24

SEP OCT NOV DEC JAN FEB MAR APR MAY JUN JUL AUG

FREQ

UEN

CY

MONTH

WEST FACE SIERRA MOUNTAINS

Storms exceeding 10-year event

40 Storms 72 Hour Duration

Historical Storms

Normal Distribution

Page 7: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Storm Temporal Patterns …

Suite of Historical Storms (Commonly 12-24 storms)

Each prototype storm has separate temporal pattern

PMP/PMF Stochastic Flood Analysis 1 Synthetic

temporal pattern Suite of temporal patterns based on historical storms

0.00.10.20.30.40.50.60.70.80.91.0

0 12 24 36 48 60 72 84 96 108 120 132 144 156 168 180 192 204 216

TIME (hours)

Hou

rly P

reci

pita

tion

(in)

Feb 12-20, 1986

Note: storm duration not limited to 72-hours

0.00.10.20.30.40.50.60.70.80.91.0

0 12 24 36 48 60 72 84 96 108 120 132 144 156 168 180 192

TIME (hours)

Hour

ly P

reci

pita

tion

(in)

Dec 28-Jan 3, 1997 Storms scaled by selected

72-hour precipitation from precipitation-frequency

relationship

Page 8: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Storm Spatial Distributions …

Suite of Historical Storms

Each prototype storm has unique spatial

and temporal pattern

PMP/PMF Stochastic Flood Analysis

“Critical Centering”

Suite of spatial patterns based on historical storms

Page 9: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Air Temperature Temporal Pattern…

1000-mb Temperature and Freezing Level

are variables

Patterns are scaled by values of

1000-mb Temperature and Freezing Level

chosen by Monte Carlo methods

PMP/PMF Stochastic Flood Analysis

Synthetic pattern

Separate temporal pattern for each prototype storm

based on historical storms

Dec 28, 1996 Start

2468

1012141618

0 24 48 72 96 120 144 168 192Elapsed Time (Hours)

Free

zing

Lev

el (F

eet)

Thousand Feet

122028364452606876

0 24 48 72 96 120 144 168 192

Air T

empe

ratu

re (o F

)

Elapsed Time (Hours)

Dec 28, 1996 Start1000-mb

Page 10: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Air Temperature Temporal Pattern…

High Freezing Levels for Extreme Storms

Dec 28, 1996 Start

2468

1012141618

0 24 48 72 96 120 144 168 192Elapsed Time (Hours)

Free

zing

Leve

l (Fe

et)

Thousand Feet

Page 11: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Freezing Level …

Freezing level is correlated

with storm magnitude

and 1000-mb dewpoint

PMP/PMF Stochastic Flood Analysis

Dependent on air temperature lapse rate

set by analyst

Freezing level is stochastic variable based on radiosonde data

for historical storms

4

6

8

10

12

14

16

18

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Max 24-Hour Basin-Average Precipitation (in)

Free

zing

Lev

el (1

000

Feet

) Freezing Level for Day of Max 24-Hour Precipitation

Example of 500-simulations – Sierra Mountains CA

Page 12: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Antecedent Soil Moisture …

Antecedent precipitation

used for soil moisture

accounting and setting

antecedent snowpack

PMP/PMF Stochastic Flood Analysis

Wet antecedent conditions

Full range of soil moisture conditions observed in historical record

varies by date (month)

Example: End-of-February storm date in semi-arid climate, Oregon

Barnes Oregon

0

2

4

6

8

10

12

14

NON-EXCEEDANCE PROBABILITY

PREC

IPIT

ATIO

N (i

n)

.5 .98.7 .9 .999.99.95

Normal Plotting Paper

.02 .05 .8.6.4.2.1 .3.001 .01

Gamma Distribution

October - February Precipitation

Page 13: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Antecedent Snowpack… PMP/PMF Stochastic Flood Analysis

Conservative Snowpack

Full range of snowpack conditions observed in historical record

Snowpack depth and density varies spatially

by date, elevation and antecedent precipitation

Example: End-of-February storm date in semi-arid climate, Oregon

Page 14: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Soil - Runoff Characteristics…

Soil moisture conditions dependent upon soil moisture

accounting based on storm date, antecedent

precipitation and evapo-transpiration

PMP/PMF Stochastic Flood Analysis

Soil Moisture Deficit = 0 Minimum loss rates

Soil moisture deficit and soil loss rates

dependent on soil moisture conditions

Page 15: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Runoff Response…

Slower interflow response common in forested mountain watersheds with some quickflow response for extreme storms

PMP/PMF Stochastic Flood Analysis

Commonly “surface” response is modeled

Surface Runoff (quickflow) and Interflow Runoff Responses

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0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480

DISC

HARG

E (cf

s)

ELAPSED TIME (Hours)

Characteristic Streamflow Responses to Runoff Generation

235-mi2 - Mountain Watershed

Quickflow Runoff Response

Interflow Runoff ResponseDelayed Groundwater Response

Page 16: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Initial Reservoir Level …

Historical reservoir level data inherently reflects reservoir

operations in addition to seasonal climatic variables

PMP/PMF Stochastic Flood Analysis

Conservative reservoir level

Based on historical reservoir levels for chosen storm date

Stochastic simulations will mimic seasonal variability

in reservoir level exhibited in historical record

Page 17: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Flood Computations…

Distributed rainfall-runoff modeling

preferred for stochastic method

where runoff computed on

land segments

smaller than sub-basin level

PMP/PMF Stochastic Flood Analysis

Watershed Model and rainfall-runoff modeling

Watershed Model and rainfall-runoff modeling

Page 18: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Calibration of Watershed Model…

PMP/PMF Stochastic Flood Analysis

Calibrated to large historical floods

Calibrated to large historical floods and other storm/flood events

to assess model parameters over wide range of climatic conditions

Also Calibrated to historical flood-frequency relationship

for project inflows

2 Additional Levels of Calibration for

Watershed Model and SEFM

Page 19: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Sensitivity Analysis …

Global sensitivity analysis

can account for interaction

and dependencies between

inputs/model parameters

PMP/PMF Stochastic Flood Analysis

One-at-a-Time approach

Global Sensitivity Analysis is standard output

from stochastic simulations

Scatter due to numerous other

hydrometeorological inputs

affect maximum reservoir level

Page 20: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Compare Uncertainty Analysis …

Uncertainty analyses can be conducted

and uncertainty bounds can be developed

for flood-frequency relationships

PMP/PMF Stochastic Flood Analysis

Not Done – Feasibility?

Optional

Page 21: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Summary …

Deterministic PMP/PMF uses a single flood hydrograph (PMF)

and sensitivity analyses to assess hydrologic and hydraulic adequacy

of a dam and reservoir project

based on

conservative selections

of hydrometeorological inputs

and watershed parameters

(policies and guidelines)

Page 22: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Summary …

Stochastic Flood Analysis

Produces flood-frequency relationships

based on simulation of multi-thousand flood hydrographs

produced by combinations of hydrometeorological conditions

consistent with the historical record

Hydrometeorological inputs are simulated by Monte Carlo methods

which preserves the seasonal characteristics

and dependencies between parameters

exhibited in the historical record

Page 23: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

Summary …

Stochastic Flood Analysis Robust examination of reservoir response

to diversity of flood characteristics

The focus is on assessing the magnitude and frequency of extreme floods

and providing information for Risk-Informed Decision-Making

400

410

420

430

440

450

460

470

480

490

RES

ERVO

IR S

TAG

E (F

eet)

ANNUAL EXCEEDANCE PROBABILITY

Extreme Value Type 1 Plotting Paper

Top of Flood Control Pool

1997 Flood

1986 Flood

10-410-2 10-3 10-610-50.5 10-1

Page 24: PMP/PMF – Stochastic Flood · PDF filePMP/PMF – Stochastic Flood Analysis Comparison of Methodologies . 0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000 220000

End of Slides