SlideShare ist ein Scribd-Unternehmen logo
1 von 27
Downloaden Sie, um offline zu lesen
1
Up or Out?
Levee setback vs. levee height
Tingju Zhu
International Food Policy Research Institute
Jay R. Lund
University of California, Davis
http://cee.engr.ucdavis.edu/faculty/lund/CALVIN/
2
Overview
1. Levees
2. Height vs. setback
3. A mathematical formulation
4. Some solution results
5. Implications
3
Levees
1. Levees are common for land protection
2. Imperfect but sometimes optimal
protection
3. Failure by: overtopping, slope failure,
seepage, false sense of security
4. Economic controversies over costs,
benefits, and risks
5. Environmental controversies over
aquatic and terrestrial stream corridors
and interactions
4
Height vs. Setback
1. Every levee design involves a trade-off of
levee height against levee setback
2. Greater height costs more, but allows less
setback to protect more land
3. Less setback (greater height) driven by
difference in land value between protected
and unprotected floodplain land
4. Can be seen as a benefit-cost tradeoff
5. Might be expanded to include
environmental benefits of flood-prone land
5
A Mathematical Formulation
EC(.)= expected annualized total cost
Xs = designed levee setback
Xh = designed levee height
P(.)= failure probability for levee height & setback
D = damageable property value (potential loss in a
flood disaster)
C(.) = annualized cost to build a levee of height
B(.) = annual value of floodplain land (both leveed
and unleveed)
       , , ,s h s h h s hMin EC X X P X X D C X B X X   
6
Optimize Analytically 1
C(.) = annualized cost to build a levee of height
B(.) = annual value of floodplain land (both leveed
and unleveed)
  0
h h h
C BEC P
D
X X X
  
   
  
0
s s s
EC P B
D
X X X
  
   
  
7
Optimize Analytically 2
If levee fails only by overtopping, and
given a levee overtopping flow
Q(Xs, Xh) …
hh X
Q
Q
P
X
P








ss X
Q
Q
P
X
P








By the chain rule and some algebra…
8
Solution
Optimal height vs. set-back trade-off
LHS = marginal economic value of
less setback/marginal channel
capacity with increased setback
RHS = marginal economic value of
greater height/ marginal channel
capacity with increased height
 
s s h h
C BB Q Q
X X X X
   
 
   
9
Implications
Optimal height vs. set-back trade-off is
only a function of land and
construction economics and relative
hydraulic effectiveness.
Not affected directly by flood frequency
or flood damage.
Optimal channel capacity is separate.
 
s s h h
C BB Q Q
X X X X
   
 
   
10
Re-Design of Existing Levee
1. Previous formulation was for a new levee.
2. What if a levee exists – with a setback
and height designed long ago.
3. Three choices:
a) Keep levee as is.
b) Raise levee to an optimal height.
c) Build new levee at optimal location.
11
Solution 1
1. Compare EV cost for each of the
three alternatives.
2. Some decision rules result.
Height
Setback
Xh0 < c
h0X
c
h0X < Xh0 < *
h0X ELSE
Xs0 <
1c
sX Move to ),( **
hs XX
Raise current levee to *
0hX Do nothing if
Xh0 >
*
h0X
1c
sX < Xs0 <
2c
sX Move levee inward and resize to ),( **
hs XX
Do nothing if
Xh0 >
2c
h0X
Xs0 >
2c
sX Move levee inward and resize to ),( **
hs XX
12
Solution 2
Decision rules for an example.
0
10
20
30
40
50
60
70
80
90
0 200 400 600 800 1000 1200 1400 1600
Levee Setback (ft)
LeveeHeight(ft)
Do nothing
Raise to optimal height
at current setback
RebuildRebuild
Optimal
setback
First
Critical
Setback
Second
Critical
Setback
13
Conclusions
1. Levee height vs. setback trade-off
2. Optimal trade-off determined by
construction costs vs. relative land value,
with hydraulic efficiencies.
3. Damage and flood frequency do not affect
optimal substitution of height for setback.
4. Levee re-design also can be analyzed with
some intuitive decision rule results.
5. As conditions change, so sometimes
should levees.
14
Other Big Changes
1. Population growth
2. Land use
3. Social values
4. Economic well-being
5. Crop prices, yields,
etc.
6. Others?
John Landis, UCB, estimates 2002
15
Adaptation Studies for
Climate Change
 Planning studies more than “impact” studies
 Allow and explore substantial adaptation,
preferably with multiple options
 Use future population, land use, and
economic conditions
 For complex systems, some optimization will
be required
 Interpretation and limitations
16
Flooding on the Lower American River
Climate Change
and
Urbanization
17
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
1900 1950 2000 2050 2100 2150
Time (yr)
MeanAnnualFloodPeak(m3
/s)
HCM2 Regression
Historical Trend
Stationary History
=
Three-Day Peak Inflows at Folsom Lake
18
Method
 Optimize levee heights & setbacks over time
 Minimize average total cost of:
• flood damage and frequency
• levee construction
• lost urban and floodplain land value
 Considers changing flood probabilities
 Changing urban land and flood damage
values – 150 year time frame.
19
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150
Time (yr)
LeveeHeight(m)
0
30
60
90
120
150
180
210
240
270
300
LeveeSetback(m)
HCM2
Historical Trend
Stationary Historical
Climate Change Alone Without Urban Growth
20
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150
Time (yr)
LeveeHeight(m)
0
30
60
90
120
150
180
210
240
270
300
LeveeSetback(m)
0% 2% 4%
Series6 Series7 Series8
Urbanization rate:
Urban Growth Alone
21
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150
Time (yr)
LeveeHeight(m)
0
30
60
90
120
150
180
210
240
270
300
LeveeSetback(m)
0% 2% 4%
Urbanization rate:
Combined Effects with Historical Trend in Floods
22
0
5
10
15
20
25
30
35
40
0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150
Time (yr)
LeveeHeight(m)
0
30
60
90
120
150
180
210
240
270
300
LeveeSetback(m)
0% 2% 4%
Urbanization rate:
Combined Effects with HCM2 Scenario
23
Costs: 2% Urbanization & HCM2 Climate
0
200
400
600
800
1,000
1 21 41 61 81 101 121 141
Time (yr)
Cost($Million/yr)
Average Flood Damage
Forgone Land Value
Construction Cost
24
2% Urbanization & HCM2 Hydrology
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
0 20 40 60 80 100 120 140
Time (yr)
FloodingFrequency(years)
0
5
10
15
20
25
30
ChannelCapacity(103
m3
/s)
Flood Recurrence Period
Channel Capacity
“100-year” flood
“500-year” flood
25
Observations
1) Climate changes or urbanization alone can
be accommodated by raising levees
2) Combined effects can raise levees and
increase levee setbacks
3) Adding loss of life accelerates levee raising
and floodway widening
4) Adding climate change uncertainty could
slow or speed adaptation
5) Non-levee adaptations are also likely
6) Raising American River levees & perhaps
widening floodway might be desirable
26
Flood Control Conclusions
1) People and societies adapt all the time.
2) Combined effects of climate change and
other factors are important for adaptations
3) Increasing Central Valley flooding problems
– Continued urbanization
– Wet climate warming & apparent flood trends
– Other tributaries have similar problems
– Limits of levees and levee heights alone
4) “100-year” flood planning is a bad wager.
27
Adaptation Studies for
Climate Change
 Planning studies more than “impact” studies
 Allow and explore substantial adaptation,
with multiple options
 Use future population, land use, and
economic conditions
 For complex systems, some optimization will
be required
 Interpretation and limitations

Weitere ähnliche Inhalte

Was ist angesagt?

DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...
DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...
DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...Deltares
 
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...Deltares
 
DSD-INT 2017 Global modelling of hydrology and water resources: current state...
DSD-INT 2017 Global modelling of hydrology and water resources: current state...DSD-INT 2017 Global modelling of hydrology and water resources: current state...
DSD-INT 2017 Global modelling of hydrology and water resources: current state...Deltares
 
IAHR 2015 - Numerical and physical modelling of different nourishment designs...
IAHR 2015 - Numerical and physical modelling of different nourishment designs...IAHR 2015 - Numerical and physical modelling of different nourishment designs...
IAHR 2015 - Numerical and physical modelling of different nourishment designs...Deltares
 

Was ist angesagt? (8)

Modeling the water food-energy nexus in the arab world: River basin simulatio...
Modeling the water food-energy nexus in the arab world: River basin simulatio...Modeling the water food-energy nexus in the arab world: River basin simulatio...
Modeling the water food-energy nexus in the arab world: River basin simulatio...
 
London Flood Risk Management Strategy Adam Hosking
London Flood Risk Management Strategy   Adam HoskingLondon Flood Risk Management Strategy   Adam Hosking
London Flood Risk Management Strategy Adam Hosking
 
DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...
DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...
DSD-INT 2017 Coupled physical – ecological models to assist assessment of eff...
 
Modeling for integrated water management
Modeling for integrated water managementModeling for integrated water management
Modeling for integrated water management
 
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...
DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...
 
DSD-INT 2017 Global modelling of hydrology and water resources: current state...
DSD-INT 2017 Global modelling of hydrology and water resources: current state...DSD-INT 2017 Global modelling of hydrology and water resources: current state...
DSD-INT 2017 Global modelling of hydrology and water resources: current state...
 
Draft-OMAE2014-24027
Draft-OMAE2014-24027Draft-OMAE2014-24027
Draft-OMAE2014-24027
 
IAHR 2015 - Numerical and physical modelling of different nourishment designs...
IAHR 2015 - Numerical and physical modelling of different nourishment designs...IAHR 2015 - Numerical and physical modelling of different nourishment designs...
IAHR 2015 - Numerical and physical modelling of different nourishment designs...
 

Ähnlich wie Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback

Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...
Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...
Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...scgcolombia
 
Understanding Who is AT RISK - Flood extent modelling
Understanding Who is AT RISK - Flood extent modellingUnderstanding Who is AT RISK - Flood extent modelling
Understanding Who is AT RISK - Flood extent modellingAlex Nwoko
 
Zevenbergen Inaugural
Zevenbergen InauguralZevenbergen Inaugural
Zevenbergen Inauguralevzngw
 
Optimization vs rule-based simulation in regional water management modeling
Optimization vs rule-based simulation in regional water management modelingOptimization vs rule-based simulation in regional water management modeling
Optimization vs rule-based simulation in regional water management modelingTingju Zhu
 
Capstone Midterm
Capstone MidtermCapstone Midterm
Capstone Midtermdchewni
 
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...OECD Environment
 
Simulating flood-peak probability in the Rhine basin and the effect of climat...
Simulating flood-peak probability in the Rhine basin and the effect of climat...Simulating flood-peak probability in the Rhine basin and the effect of climat...
Simulating flood-peak probability in the Rhine basin and the effect of climat...Aline te Linde
 
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...Robert Muir
 
An application of dynamic modelling to produce site-specific critical load - ...
An application of dynamic modelling to produce site-specific critical load - ...An application of dynamic modelling to produce site-specific critical load - ...
An application of dynamic modelling to produce site-specific critical load - ...IES / IAQM
 
Integrated and sustainable water management of Red-Thai Binh rivers system un...
Integrated and sustainable water management of Red-Thai Binh rivers system un...Integrated and sustainable water management of Red-Thai Binh rivers system un...
Integrated and sustainable water management of Red-Thai Binh rivers system un...Environmental Intelligence Lab
 
Green infrastructure policy for stormwater infiltration
Green infrastructure policy for stormwater infiltrationGreen infrastructure policy for stormwater infiltration
Green infrastructure policy for stormwater infiltrationEvan Pratt
 
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - CaillibotteDSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - CaillibotteDeltares
 
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...Robert Muir
 
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.Waheed Uddin
 
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...Albert Chen
 

Ähnlich wie Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback (20)

project presentation
project presentationproject presentation
project presentation
 
Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...
Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...
Reconsidering some basic aspects of soil mechanics - Laurie Wesley, Universit...
 
Understanding Who is AT RISK - Flood extent modelling
Understanding Who is AT RISK - Flood extent modellingUnderstanding Who is AT RISK - Flood extent modelling
Understanding Who is AT RISK - Flood extent modelling
 
Hydrological Modelling of Slope Stability
Hydrological Modelling of Slope StabilityHydrological Modelling of Slope Stability
Hydrological Modelling of Slope Stability
 
Zevenbergen Inaugural
Zevenbergen InauguralZevenbergen Inaugural
Zevenbergen Inaugural
 
Optimization vs rule-based simulation in regional water management modeling
Optimization vs rule-based simulation in regional water management modelingOptimization vs rule-based simulation in regional water management modeling
Optimization vs rule-based simulation in regional water management modeling
 
Capstone Midterm
Capstone MidtermCapstone Midterm
Capstone Midterm
 
Floods
FloodsFloods
Floods
 
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...
Session 6: Scene-setting-Mainstreaming resilience in projects - Sophie Lavaud...
 
Simulating flood-peak probability in the Rhine basin and the effect of climat...
Simulating flood-peak probability in the Rhine basin and the effect of climat...Simulating flood-peak probability in the Rhine basin and the effect of climat...
Simulating flood-peak probability in the Rhine basin and the effect of climat...
 
Assessment of Low Impact Design (LID)
Assessment of Low Impact Design (LID)Assessment of Low Impact Design (LID)
Assessment of Low Impact Design (LID)
 
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...
Robert Muir Level of Service Upgrades and Climate Change Adaptation NRC Works...
 
An application of dynamic modelling to produce site-specific critical load - ...
An application of dynamic modelling to produce site-specific critical load - ...An application of dynamic modelling to produce site-specific critical load - ...
An application of dynamic modelling to produce site-specific critical load - ...
 
Integrated and sustainable water management of Red-Thai Binh rivers system un...
Integrated and sustainable water management of Red-Thai Binh rivers system un...Integrated and sustainable water management of Red-Thai Binh rivers system un...
Integrated and sustainable water management of Red-Thai Binh rivers system un...
 
Green infrastructure policy for stormwater infiltration
Green infrastructure policy for stormwater infiltrationGreen infrastructure policy for stormwater infiltration
Green infrastructure policy for stormwater infiltration
 
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - CaillibotteDSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte
 
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...
Robert Muir Green Infrastructure for Climate Adaptation NRC Workshop on Urban...
 
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.
2017 MAIREINFRA Conference, Seoul, South Korea, July 19-21.
 
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...
Analysing the cascading effects on critical infrastrcture in Torbay coastal/p...
 
The role of climate variability and climate change in NSW water sharing arran...
The role of climate variability and climate change in NSW water sharing arran...The role of climate variability and climate change in NSW water sharing arran...
The role of climate variability and climate change in NSW water sharing arran...
 

Mehr von Tingju Zhu

Water Infrastructure and Agricultural Development: Perspectives on the Nile R...
Water Infrastructure and Agricultural Development: Perspectives on the Nile R...Water Infrastructure and Agricultural Development: Perspectives on the Nile R...
Water Infrastructure and Agricultural Development: Perspectives on the Nile R...Tingju Zhu
 
Viewing Agricultural Water Management through a Systems Analysis Lens
Viewing Agricultural Water Management through a Systems Analysis LensViewing Agricultural Water Management through a Systems Analysis Lens
Viewing Agricultural Water Management through a Systems Analysis LensTingju Zhu
 
Groundwater Use and Depletion in Asia: Implications for Irrigated Agriculture
Groundwater Use and Depletion in Asia:Implications for Irrigated AgricultureGroundwater Use and Depletion in Asia:Implications for Irrigated Agriculture
Groundwater Use and Depletion in Asia: Implications for Irrigated AgricultureTingju Zhu
 
Challenges of Optimizing BAT Utilization in Diverse Settings
Challenges of Optimizing BAT Utilization in Diverse SettingsChallenges of Optimizing BAT Utilization in Diverse Settings
Challenges of Optimizing BAT Utilization in Diverse SettingsTingju Zhu
 
Climate change impacts on agriculture in Vietnam
Climate change impacts on agriculture in VietnamClimate change impacts on agriculture in Vietnam
Climate change impacts on agriculture in VietnamTingju Zhu
 
Development of a Global Hydrological Model for Integrated Assessment Modeling
Development of a Global Hydrological Model for Integrated Assessment ModelingDevelopment of a Global Hydrological Model for Integrated Assessment Modeling
Development of a Global Hydrological Model for Integrated Assessment ModelingTingju Zhu
 
Regional water management and marketing optimization
Regional water management and marketing optimizationRegional water management and marketing optimization
Regional water management and marketing optimizationTingju Zhu
 

Mehr von Tingju Zhu (7)

Water Infrastructure and Agricultural Development: Perspectives on the Nile R...
Water Infrastructure and Agricultural Development: Perspectives on the Nile R...Water Infrastructure and Agricultural Development: Perspectives on the Nile R...
Water Infrastructure and Agricultural Development: Perspectives on the Nile R...
 
Viewing Agricultural Water Management through a Systems Analysis Lens
Viewing Agricultural Water Management through a Systems Analysis LensViewing Agricultural Water Management through a Systems Analysis Lens
Viewing Agricultural Water Management through a Systems Analysis Lens
 
Groundwater Use and Depletion in Asia: Implications for Irrigated Agriculture
Groundwater Use and Depletion in Asia:Implications for Irrigated AgricultureGroundwater Use and Depletion in Asia:Implications for Irrigated Agriculture
Groundwater Use and Depletion in Asia: Implications for Irrigated Agriculture
 
Challenges of Optimizing BAT Utilization in Diverse Settings
Challenges of Optimizing BAT Utilization in Diverse SettingsChallenges of Optimizing BAT Utilization in Diverse Settings
Challenges of Optimizing BAT Utilization in Diverse Settings
 
Climate change impacts on agriculture in Vietnam
Climate change impacts on agriculture in VietnamClimate change impacts on agriculture in Vietnam
Climate change impacts on agriculture in Vietnam
 
Development of a Global Hydrological Model for Integrated Assessment Modeling
Development of a Global Hydrological Model for Integrated Assessment ModelingDevelopment of a Global Hydrological Model for Integrated Assessment Modeling
Development of a Global Hydrological Model for Integrated Assessment Modeling
 
Regional water management and marketing optimization
Regional water management and marketing optimizationRegional water management and marketing optimization
Regional water management and marketing optimization
 

Kürzlich hochgeladen

complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...asadnawaz62
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfme23b1001
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitterShivangiSharma879191
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction managementMariconPadriquez1
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 

Kürzlich hochgeladen (20)

complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdf
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction management
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 

Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback

  • 1. 1 Up or Out? Levee setback vs. levee height Tingju Zhu International Food Policy Research Institute Jay R. Lund University of California, Davis http://cee.engr.ucdavis.edu/faculty/lund/CALVIN/
  • 2. 2 Overview 1. Levees 2. Height vs. setback 3. A mathematical formulation 4. Some solution results 5. Implications
  • 3. 3 Levees 1. Levees are common for land protection 2. Imperfect but sometimes optimal protection 3. Failure by: overtopping, slope failure, seepage, false sense of security 4. Economic controversies over costs, benefits, and risks 5. Environmental controversies over aquatic and terrestrial stream corridors and interactions
  • 4. 4 Height vs. Setback 1. Every levee design involves a trade-off of levee height against levee setback 2. Greater height costs more, but allows less setback to protect more land 3. Less setback (greater height) driven by difference in land value between protected and unprotected floodplain land 4. Can be seen as a benefit-cost tradeoff 5. Might be expanded to include environmental benefits of flood-prone land
  • 5. 5 A Mathematical Formulation EC(.)= expected annualized total cost Xs = designed levee setback Xh = designed levee height P(.)= failure probability for levee height & setback D = damageable property value (potential loss in a flood disaster) C(.) = annualized cost to build a levee of height B(.) = annual value of floodplain land (both leveed and unleveed)        , , ,s h s h h s hMin EC X X P X X D C X B X X   
  • 6. 6 Optimize Analytically 1 C(.) = annualized cost to build a levee of height B(.) = annual value of floodplain land (both leveed and unleveed)   0 h h h C BEC P D X X X           0 s s s EC P B D X X X          
  • 7. 7 Optimize Analytically 2 If levee fails only by overtopping, and given a levee overtopping flow Q(Xs, Xh) … hh X Q Q P X P         ss X Q Q P X P         By the chain rule and some algebra…
  • 8. 8 Solution Optimal height vs. set-back trade-off LHS = marginal economic value of less setback/marginal channel capacity with increased setback RHS = marginal economic value of greater height/ marginal channel capacity with increased height   s s h h C BB Q Q X X X X          
  • 9. 9 Implications Optimal height vs. set-back trade-off is only a function of land and construction economics and relative hydraulic effectiveness. Not affected directly by flood frequency or flood damage. Optimal channel capacity is separate.   s s h h C BB Q Q X X X X          
  • 10. 10 Re-Design of Existing Levee 1. Previous formulation was for a new levee. 2. What if a levee exists – with a setback and height designed long ago. 3. Three choices: a) Keep levee as is. b) Raise levee to an optimal height. c) Build new levee at optimal location.
  • 11. 11 Solution 1 1. Compare EV cost for each of the three alternatives. 2. Some decision rules result. Height Setback Xh0 < c h0X c h0X < Xh0 < * h0X ELSE Xs0 < 1c sX Move to ),( ** hs XX Raise current levee to * 0hX Do nothing if Xh0 > * h0X 1c sX < Xs0 < 2c sX Move levee inward and resize to ),( ** hs XX Do nothing if Xh0 > 2c h0X Xs0 > 2c sX Move levee inward and resize to ),( ** hs XX
  • 12. 12 Solution 2 Decision rules for an example. 0 10 20 30 40 50 60 70 80 90 0 200 400 600 800 1000 1200 1400 1600 Levee Setback (ft) LeveeHeight(ft) Do nothing Raise to optimal height at current setback RebuildRebuild Optimal setback First Critical Setback Second Critical Setback
  • 13. 13 Conclusions 1. Levee height vs. setback trade-off 2. Optimal trade-off determined by construction costs vs. relative land value, with hydraulic efficiencies. 3. Damage and flood frequency do not affect optimal substitution of height for setback. 4. Levee re-design also can be analyzed with some intuitive decision rule results. 5. As conditions change, so sometimes should levees.
  • 14. 14 Other Big Changes 1. Population growth 2. Land use 3. Social values 4. Economic well-being 5. Crop prices, yields, etc. 6. Others? John Landis, UCB, estimates 2002
  • 15. 15 Adaptation Studies for Climate Change  Planning studies more than “impact” studies  Allow and explore substantial adaptation, preferably with multiple options  Use future population, land use, and economic conditions  For complex systems, some optimization will be required  Interpretation and limitations
  • 16. 16 Flooding on the Lower American River Climate Change and Urbanization
  • 17. 17 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 1900 1950 2000 2050 2100 2150 Time (yr) MeanAnnualFloodPeak(m3 /s) HCM2 Regression Historical Trend Stationary History = Three-Day Peak Inflows at Folsom Lake
  • 18. 18 Method  Optimize levee heights & setbacks over time  Minimize average total cost of: • flood damage and frequency • levee construction • lost urban and floodplain land value  Considers changing flood probabilities  Changing urban land and flood damage values – 150 year time frame.
  • 19. 19 0 5 10 15 20 25 30 35 40 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time (yr) LeveeHeight(m) 0 30 60 90 120 150 180 210 240 270 300 LeveeSetback(m) HCM2 Historical Trend Stationary Historical Climate Change Alone Without Urban Growth
  • 20. 20 0 5 10 15 20 25 30 35 40 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time (yr) LeveeHeight(m) 0 30 60 90 120 150 180 210 240 270 300 LeveeSetback(m) 0% 2% 4% Series6 Series7 Series8 Urbanization rate: Urban Growth Alone
  • 21. 21 0 5 10 15 20 25 30 35 40 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time (yr) LeveeHeight(m) 0 30 60 90 120 150 180 210 240 270 300 LeveeSetback(m) 0% 2% 4% Urbanization rate: Combined Effects with Historical Trend in Floods
  • 22. 22 0 5 10 15 20 25 30 35 40 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 Time (yr) LeveeHeight(m) 0 30 60 90 120 150 180 210 240 270 300 LeveeSetback(m) 0% 2% 4% Urbanization rate: Combined Effects with HCM2 Scenario
  • 23. 23 Costs: 2% Urbanization & HCM2 Climate 0 200 400 600 800 1,000 1 21 41 61 81 101 121 141 Time (yr) Cost($Million/yr) Average Flood Damage Forgone Land Value Construction Cost
  • 24. 24 2% Urbanization & HCM2 Hydrology 0 200 400 600 800 1,000 1,200 1,400 1,600 1,800 2,000 0 20 40 60 80 100 120 140 Time (yr) FloodingFrequency(years) 0 5 10 15 20 25 30 ChannelCapacity(103 m3 /s) Flood Recurrence Period Channel Capacity “100-year” flood “500-year” flood
  • 25. 25 Observations 1) Climate changes or urbanization alone can be accommodated by raising levees 2) Combined effects can raise levees and increase levee setbacks 3) Adding loss of life accelerates levee raising and floodway widening 4) Adding climate change uncertainty could slow or speed adaptation 5) Non-levee adaptations are also likely 6) Raising American River levees & perhaps widening floodway might be desirable
  • 26. 26 Flood Control Conclusions 1) People and societies adapt all the time. 2) Combined effects of climate change and other factors are important for adaptations 3) Increasing Central Valley flooding problems – Continued urbanization – Wet climate warming & apparent flood trends – Other tributaries have similar problems – Limits of levees and levee heights alone 4) “100-year” flood planning is a bad wager.
  • 27. 27 Adaptation Studies for Climate Change  Planning studies more than “impact” studies  Allow and explore substantial adaptation, with multiple options  Use future population, land use, and economic conditions  For complex systems, some optimization will be required  Interpretation and limitations