This document discusses flood damage assessment and developing flood resilient urban areas. It covers assessing vulnerability and damage to individual buildings and clusters of buildings. Damage is calculated using stage-damage curves that relate flood depth to expected damage. These curves can provide information on mean annual damage, sensitivity, and graduality. The document emphasizes assessing damage at different geographic scales from individual buildings to neighborhoods to municipalities. It also discusses considering the temporal aspect of damage and opportunities for retrofitting and renewal to reduce long term flood risks.
Modeling Insured Exposures Against the Next Southeast Asian Catastrophe - Mar...RMS
Robert Muir-Wood, Chief Research Officer at RMS, shares his research and insight into natural catastrophes in Southeast Asia, and the complex issue of modeling insured exposures in the region.
Dr Sarah Dunn, Lecturer in Structural Engineering, Newcastle University, UK visited SMART Infrastructure Facility on Friday, August 21st 2015. During her visit, Dr Dunn presented a summary of her research as part of the SMART Seminar Series.
Modeling Insured Exposures Against the Next Southeast Asian Catastrophe - Mar...RMS
Robert Muir-Wood, Chief Research Officer at RMS, shares his research and insight into natural catastrophes in Southeast Asia, and the complex issue of modeling insured exposures in the region.
Dr Sarah Dunn, Lecturer in Structural Engineering, Newcastle University, UK visited SMART Infrastructure Facility on Friday, August 21st 2015. During her visit, Dr Dunn presented a summary of her research as part of the SMART Seminar Series.
VOLCANIC ERUPTIONS are awesome manifestations of heat flowing as a result of mantle hot spots (e.g., Hawaii and Iceland) or explosive eruptions in subduction zones (e.g., the Pacific Rim). LESSON: THE KNOWLEDGE AND TIMING OF ANTICIPATORY ACTIONS IS VITAL. The people who know: 1) what hazards to expect (e.g., vertical ash plume, lateral blast, lava flow, lahar), 2) where and when they will happen, and 3) what they should (and should not) do to prepare for them will survive. The people who have timely, realistic, advance information that facilitates reduction of vulnerabilities, and hence the risks associated with the vertical ash plume, pyroclastic flows, tephra, lava flows, and lahars will survive. The people who have timely, accurate, advance information that facilitates evacuation to get our of harm’s way of pyroclastic flows, lava flows, and lahars will survive. The International Community provides millions to billions of dollars in relief to help “pick up the pieces, ” but this strategy is not enough by itself to ensure earthquake disaster resilience. THE CHALLENGE: CREATE, ADJUST, AND REALIGN PROGRAMS, PARTNERS AND PEOPLE UNTIL YOU HAVE CREATED THE KINDS OF TURNING POINTS NEEDED FOR MOVING TOWARDS VOLCANO DISASTER RESILIENCE. Presentation courtesy of Dr. Walter Hays, Global Alliance For Disaster Reduction
CLR hosted a Friday Forum webinar on February 22 titled 'Robust impact patterns: an approach to account for uncertainties in local sea-level rise vulnerability assessments', led by Jackie Yip of University of British Columbia.
While sea-level rise (SLR) is an inevitable effect of climate change, there are deep uncertainties regarding when and how SLR can impact society, which act as a significant barrier to adaptation. Recent literature calls for a shift from seeking optimal adaptation options to robust options that can perform reasonably under a range of possible futures, embracing uncertainties rather than eliminating them.
In response, this study develops a new approach, the Robust Impact Patterns (RIPs) method, to help decision-makers account for SLR impact uncertainties in adaptation planning. The method utilizes the pattern recognition capability of machine learning to transform thousands of local SLR impact maps into a small number of impact patterns that are robust across multiple futures, thereby processing an otherwise vast and overwhelming volume of impact information.
Jackie Yip is a Consequence Analyst at Kerr Wood Leidal, with experience in a range of climate vulnerability and resilience projects. Before joining KWL, she completed her Ph.D. at the Institute for Resources, Environment, and Sustainability of UBC, where she conducted this presentation’s research in partnership with the City of Vancouver. At the organizational level, Jackie was also a technical lead at Fraser Health, where her work focused on improving the resilience of healthcare facilities in the Lower Mainland to extreme events, including flooding and extreme heat. More broadly, she has led the design of Resilient-C, an online platform connecting Canadian coastal municipalities to share knowledge and collaborate on reducing risks to coastal hazards.
Decision Support for Urban Environmental Planningurbanmetabolism
Presented by Dr. Vishal K. Mehta, Invited speaker at the 6th International Public Policy and Management Conference held at the Indian Institute of Management, Bangalore, India.
In this webinar, RMS top global flood experts take a close look at flood peril best practices—from technologies to underwriting guidelines—and answer your most pressing questions and concerns to help you understand, manage and grow your flood business.
VOLCANIC ERUPTIONS are awesome manifestations of heat flowing as a result of mantle hot spots (e.g., Hawaii and Iceland) or explosive eruptions in subduction zones (e.g., the Pacific Rim). LESSON: THE KNOWLEDGE AND TIMING OF ANTICIPATORY ACTIONS IS VITAL. The people who know: 1) what hazards to expect (e.g., vertical ash plume, lateral blast, lava flow, lahar), 2) where and when they will happen, and 3) what they should (and should not) do to prepare for them will survive. The people who have timely, realistic, advance information that facilitates reduction of vulnerabilities, and hence the risks associated with the vertical ash plume, pyroclastic flows, tephra, lava flows, and lahars will survive. The people who have timely, accurate, advance information that facilitates evacuation to get our of harm’s way of pyroclastic flows, lava flows, and lahars will survive. The International Community provides millions to billions of dollars in relief to help “pick up the pieces, ” but this strategy is not enough by itself to ensure earthquake disaster resilience. THE CHALLENGE: CREATE, ADJUST, AND REALIGN PROGRAMS, PARTNERS AND PEOPLE UNTIL YOU HAVE CREATED THE KINDS OF TURNING POINTS NEEDED FOR MOVING TOWARDS VOLCANO DISASTER RESILIENCE. Presentation courtesy of Dr. Walter Hays, Global Alliance For Disaster Reduction
CLR hosted a Friday Forum webinar on February 22 titled 'Robust impact patterns: an approach to account for uncertainties in local sea-level rise vulnerability assessments', led by Jackie Yip of University of British Columbia.
While sea-level rise (SLR) is an inevitable effect of climate change, there are deep uncertainties regarding when and how SLR can impact society, which act as a significant barrier to adaptation. Recent literature calls for a shift from seeking optimal adaptation options to robust options that can perform reasonably under a range of possible futures, embracing uncertainties rather than eliminating them.
In response, this study develops a new approach, the Robust Impact Patterns (RIPs) method, to help decision-makers account for SLR impact uncertainties in adaptation planning. The method utilizes the pattern recognition capability of machine learning to transform thousands of local SLR impact maps into a small number of impact patterns that are robust across multiple futures, thereby processing an otherwise vast and overwhelming volume of impact information.
Jackie Yip is a Consequence Analyst at Kerr Wood Leidal, with experience in a range of climate vulnerability and resilience projects. Before joining KWL, she completed her Ph.D. at the Institute for Resources, Environment, and Sustainability of UBC, where she conducted this presentation’s research in partnership with the City of Vancouver. At the organizational level, Jackie was also a technical lead at Fraser Health, where her work focused on improving the resilience of healthcare facilities in the Lower Mainland to extreme events, including flooding and extreme heat. More broadly, she has led the design of Resilient-C, an online platform connecting Canadian coastal municipalities to share knowledge and collaborate on reducing risks to coastal hazards.
Decision Support for Urban Environmental Planningurbanmetabolism
Presented by Dr. Vishal K. Mehta, Invited speaker at the 6th International Public Policy and Management Conference held at the Indian Institute of Management, Bangalore, India.
In this webinar, RMS top global flood experts take a close look at flood peril best practices—from technologies to underwriting guidelines—and answer your most pressing questions and concerns to help you understand, manage and grow your flood business.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. FLOODRESILIENCE
UFM DORDRECHT: Knowledge development by DESIGN
WORK PACKAGES: STAKEHOLDERS:
-Risk and Vulnerability assessment -Governement (federal, regional, local)
-Resilient Planning and Building -Research Institutes
-Urban Design -Water-board
-Communication and Emergency Response -Housing corporation
-Policy and Governance -Developers, Building industry
-Insurance Companies
-Citizens
Vulnerability assessment
Damage assessment
Flood modelling,
Vulnerability assessment Flood proofing technologies
FLOODRESILIENCEGROUP
Guidelines
FLOOD RESILIENT DESIGN Communication FLOODRESILIENCEGROUP
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3. FLOODRESILIENCE
UFM DORDRECHT: LEARNING by DOING, Iterative Process (Slow Prototyping)
PRACTISE: TREMENDOUS AMOUNT OF INFORMATION EXCHANGE
Vulnerability assessment
Damage assessment
Flood modelling,
Vulnerability assessment
Flood proofing technologies
DESIGN PROTOTYPES Communication
Guidelines
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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4. FLOODRESILIENCE
INTERGRATED UFM: Incorporate flood impact reduction into the city
YET: CITIES ARE COMPLEX AND HIGHLY DIFFERENTIATED
NEED FOR A HIGHLY EXPRESSIVE VULNERABILITY/IMPACT MODEL
1. WHAT? Need for broad set of impact evaluation tools, climate scenarios
2. WHERE? Need for detailled impact assessment
3. WHEN? Need for incorporation of renewal strategies
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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5. FLOODRESILIENCE
FLOOD DAMAGE ASSESSMENT
TERMINOLOGY
• Tangible damages: expressed in money (direct, indirect)
• Intangible damages: Cannot be expressed in money (culture, health, etc.)
• Direct damages: cleaning, repair, replacement, etc.
• Indirect damages: business interruption, ‘ripple effects’, etc.
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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6. FLOODRESILIENCE
FLOOD DAMAGE ASSESSMENT
TERMINOLOGY
• Cummulative frequency: find frequency of occurence of some value (e.g. dis-
charge, water stage)-> from historical records
• Return period: period in which the event occurs
• Exceedance probability = return period-1 -> Probability that a given value
(e.g. discharge, water stage) is exceeded
COMMON MISCONCEPTIONS:
• A 100 year flood doesn’t happen every 100 years
• A 10000 year flood is based on flood records
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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7. FLOODRESILIENCE
FLOOD RISK ASSESSMENT: Only from the ‘driver’ perspective
2D FLOOD SIMULATIONS: 4000-1 EP
High resolution (max 10x10m grid), including sewer
Inundation, Velocity for a multitude of design floods events
limited inundation depth (<1m) limited flow velocities (<0.75m3/s)
FLOOD RISK FOCUSSED ON FLOOD EXTENT AND INUNDATION DEPTH
-Little knowledge about impact assessment FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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8. FLOODRESILIENCE
CALCULATING DAMAGE FOR INDIVIDUAL FEATURES
1. STAGE-DAMAGE FUNCTION
• Relates inundation depth to damage level
• Differs per feature type, region
• Can be composed of different damage contributors
• Can be multi-modal (inundation depth, velocity, duration)
40000
35000
30000
25000
damage [€]
20000
15000
10000
5000
0
0 0,3 0,6 0,9 1,2 1,5 1,8 2,1 2,4 2,9
water stage [m]
Cleaning Floors & Walls Doors Kitchen Installation
FLOODRESILIENCEGROUP
Stage damage curve for detached housing
FLOODRESILIENCEGROUP
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9. FLOODRESILIENCE
CALCULATING DAMAGE FOR INDIVIDUAL FEATURES
2. 2D OR 1D-2D FLOOD SIMULATION
• Generates maximum inundation depth per grid-cell
• Apply different flood scenarios (i.e. EPs associated to a water stage)
FLOODRESILIENCEGROUP
Flood extent for different EPs
FLOODRESILIENCEGROUP
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10. FLOODRESILIENCE
CALCULATING DAMAGE FOR INDIVIDUAL FEATURES
3. APPLICATION OF STAGE-DAMAGE FUNCTION AND 2D INUNDATION MAP
• Classification of individual features
.... Classify feature
0,3 0,6 0,9 1,2 1,5 1,8 2,1 0,3 0,6 0,9 1,2 1,5 1,8 2,1 0,3 0,6 0,9 1,2 1,5 1,8 2,1
water stage [m] water stage [m] water stage [m]
H1 H2 Hn
Attributes feature Fi (e.g. house)
• type
• area
• location
• etc.
Flood characteristics at location (Xi, Yi)
• depth
• velocity
• duration
• etc.
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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11. FLOODRESILIENCE
CALCULATING DAMAGE FOR INDIVIDUAL FEATURES
4. RESULTING AGGREGATE DAMAGE LEVELS
• Water stage - Expected damage
180
160
5.8845
y = 4E-08x
140
expected Damage [m€]
120
100
80
60
40
20
0
225 250 275 300 325 350 375 400 425 450
water stage [cm +NAP]
• Return periods - Expected damage
Current
40
35
30
expected Damage [m€]
25
20
15
10
5
0
10 100 1000 10000
FLOODRESILIENCEGROUP
return period [Y]
Current
FLOODRESILIENCEGROUP
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12. FLOODRESILIENCE
STAGE-DAMAGE CURVES: ATTRIBUTES
MEAN ANNUAL DAMAGE (MAD)
• Average contribution of each damage level per year
d i 1 d i
Pmax I
MAD D( p)d p
P0 i 1 2
pi
160
150
140
130
120
110
100
Damage [x mln € ]
90
80
70
MAD
60
50
40
30
20
10
0
20000
10000
4000
2000
1000
500
250
100
50
25
10
Exceedance probability -1 [-](Water stage [m +NAP])
2100 Total
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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13. FLOODRESILIENCE
STAGE-DAMAGE CURVES: ATTRIBUTES
SENSITIVITY
• Maximum value for the derative of the stage-damage curve.
d d
SENSITIVITY max i 1 i 1 d max
P P
i 1 i 1
160
150 SENSITIVITY
140
130
120
110
100
Damage [x mln € ]
90
80
70
60
50
40
30
20
10
0
20000
10000
4000
2000
1000
500
250
100
50
25
10
Exceedance probability -1 [-](Water stage [m +NAP])
2100 Total
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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14. FLOODRESILIENCE
STAGE-DAMAGE CURVES: ATTRIBUTES
GRADUALITY
• Identify discontinuities in the derivates of the stage-damage curve
N Pi Di
GRADUALITY 1
p 1 2
160
150
140
130
120
110
100
Damage [x mln € ]
90
80
70 Strong inflection point
60
50
40
30
20
10
0
20000
10000
4000
2000
1000
500
250
100
50
25
10
Exceedance probability -1 [-](Water stage [m +NAP])
2100 Total
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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15. FLOODRESILIENCE
RESILIENT PLANNING AND BUILDING: Damage model (where?)
HIGH LEVEL OF DETAIL: High precision but low usability
FLOODRESILIENCEGROUP
Dordrecht outer marches: Damage Distribution
FLOODRESILIENCEGROUP
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16. FLOODRESILIENCE
WP3 RESILIENT PLANNING AND BUILDING: Damage model (where?)
GEOGRAPHICAL DISTRIBUTION(CLUSTERING): High usability
(where)
€17.545.537 (71%)
€147.886 (1%)
FLOODRESILIENCEGROUP
Dordrecht outer marches: Damage Clustering
FLOODRESILIENCEGROUP
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17. FLOODRESILIENCE
WP3 RESILIENT PLANNING AND BUILDING: Damage model (where?)
Example from Rotterdam-Rijnmond(where)
FLOODRESILIENCEGROUP
Rotterdm-Rijnmond: Damage Clustering EP = 10000-1
FLOODRESILIENCEGROUP
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18. Goedereede
Hellevoetsluis
Dirksland
Brielle
Middelharnis
Rozenburg
Maassluis
Bernisse
Korendijk
Vlaardingen
Rotterdam
Oostflakkee
Schiedam
Spijkenisse
Oud-Beijerland
Cromstrijen
Moerdijk
Barendrecht
Strijen
Capelle aan den IJssel
Krimpen aan den IJssel
Moerdijk
Nederlek
Zwijndrecht
Nieuw-Lekkerland
Hendrik-Ido-Ambacht
Alblasserdam
Dordrecht
Papendrecht
Werkendam
Bergambacht
Sliedrecht
Liesveld
Drimmelen
Geertruidenberg
Schoonhoven
Hardinxveld-Giessendam
ADMINISTRATIVE DISTRIBUTION: Damage per Municipality
Lopik
Gorinchem
Woudrichem
WP3 RESILIENT PLANNING AND BUILDING: Damage model (where?)
Zaltbommel
Lingewaal
Page 18
FLOODRESILIENCE
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
19. FLOODRESILIENCE
WP3 RESILIENT PLANNING AND BUILDING: Damage model (where?)
ADMINISTRATIVE DISTRIBUTION: Damage per Neighborhood
1. DIFFERENTIATED
2. ‘CEILINGS’
3. HIERARCHY (4 Nhoods account for about 40% total expected damage)
€ 8.0
€ 7.5
1e Merwedehaven en omgeving
€ 7.0 2e Merwedehaven en omgeving
3e Merwedehaven
€ 6.5 Achterhakkers en omgeving
Beekmanstraat en omgeving
€ 6.0
Bleijenhoek
€ 5.5 Boogjes en omgeving
Groenmarkt en omgeving
€ 5.0 Grote Markt en omgeving
Damage [x mln € ]
Handelskade en 's-Gravendeelsedijk
€ 4.5
Julianahaven
€ 4.0 Kalkhaven
Krabbegors
€ 3.5
Lijnbaan
€ 3.0 Maasstraat en omgeving
Merwelanden
€ 2.5 Krabbepolder
Nieuwe Haven en omgeving
€ 2.0
Noorderkwartier
€ 1.5 Plein 1940-1945 en omgeving
Wantijpark en omgeving
€ 1.0 Weeskinderendijk en Dokweg
Wijnstraat en omgeving
€ 0.5
Wilhelminahaven
€ 0.0
20000
10000
4000
2000
1000
500
250
100
50
25
10
Exceedance probability-1 [-] FLOODRESILIENCEGROUP
Dordrecht outer marches: Damage distribution per neighborhood
FLOODRESILIENCEGROUP
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20. FLOODRESILIENCE
WP3 RESILIENT PLANNING AND BUILDING: Damage model (when?)
TEMPORAL DISTRIBUTION: Lifecycle management
1. PROACTIVE RETROFITTING (up to 32.3% damages to historical buildings)
2. REACTIVE RETROFITTING (end of lifecycle)
3. RENEWAL SCHEMES (up to 67.8% damages on post-war buildings)
CHANCES FOR INTEGRATED UFM
8
7
Damage [x million €]
6
5
4
3
2
1
0
till 1904
1905-1909
1910-1914
1915-1919
1920-1924
1925-1929
1930-1934
1935-1939
1940-1944
1945-1949
1950-1954
1955-1959
1960-1964
1965-1969
1970-1974
1975-1979
1980-1984
1985-1989
1990-1994
1995-1999
2000-2004
Year of construction[y]
1/4000 1/2000 1/1000 1/500 1/250 1/100 1/50 1/25 1/10 FLOODRESILIENCEGROUP
Dordrecht outer marches: Damage distribution age housing stock
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21. FLOODRESILIENCE
WP3 RESILIENT PLANNING AND BUILDING: Damage model (what?)
FUNCTIONAL DISTRIBUTION:
-Features (e.g. businesses, housing, infrastructure, public space)
-Typologies (e.g. row houses, appartments, detached houses)
-Components (e.g. cleaning costs, structural damage, interior damage)
DAMAGE TO INFRASTRUCTURE DAMAGE OVER BUILDING TYPOLOGY DAMAGE COMPONENTS
Damage over Typology
0.053
0.039
300 0.023
0.049
250
0.087
200
Duplex
# Damaged
Appartment
150 Row House
Semi-Detached
Detached
100
0.750
50
0
4000
2000
1250
500
250
100
50
25
10
1
0.1
Frequency Cleaning Floors & Walls Doors Kitchen Installations interior
-Especially for higher EPs, damage to infrastructure is major damage component
-Interior damage contributes 75% to total damages to housing
-Majority of inundated houses are row houses
FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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22. FLOODRESILIENCE
RESILIENT PLANNING AND BUILDING: Damage model
INFLUENCE OF CLIMATE CHANGE (what?)
-Impacts of climate change are substatial, yet relatively gradual in progression
-Levels?
-Trend shift?
175
150
125
expected Damage [m€]
100
75
50
25
0
10 100 1000 10000
return period [Y]
Current 2050 G+ 2100 Veerman 2050 Lockable/Open 2100 Lockable/Open
Aggregate Flood Damage for scenarios FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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23. FLOODRESILIENCE
WP3: From Damage model to Decision Support
REDUCING FLOOD IMPACTS ACROSS SCALES:
-Assessment of damage differentiation provides foundation for mixed-strategy
-Bottom-up: Implementation of various dry-proof, wet-proof solutions
-Top-down: Implementation of levee systems, combined with elevated infrastructure
Housing-level
Hamburg, Germany Dura Vermeer, (2004), Gouden Kust, Maasbommel, Netherlands. DuraVermeer, (2005), Drijvende Kas, Naaldwijk, Netherlands
spill-over effects
Urban-level
Dura Vermeer, (2004), Impression Flood Resilient Neighborhood
spill-over effects
Catchment-level FLOODRESILIENCEGROUP
FLOODRESILIENCEGROUP
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24. FLOODRESILIENCE
WP3: From Damage model to Decision Support
WHAT ABOUT THE IMPACT OF NON-STRUCTURAL MEASURES:
-Compensation measures
-Flood insurance
MOTIVATION:
-Differentiated ‘Risk Landscape’ (spatial, temporal, functional)
-Overall impact relatively low
-Yet, higher impact levels excpected in future
-Stadwerven pilot
FLOODRESILIENCEGROUP
Artist Impression Pilot Flood Proof Building
FLOODRESILIENCEGROUP
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