SlideShare ist ein Scribd-Unternehmen logo
1 von 27
Postgraduate Education, Training and Capacity Building in Water, Environment and Infrastructure
Adapting to Change Nigel Wright Professor of Hydraulic Engineering and River Basin Development UNESCO-IHE Institute for Water Education
What will change? ,[object Object],[object Object],[object Object],[object Object]
Adaptability ,[object Object],[object Object],[object Object],[object Object]
Resilience ,[object Object],[object Object],[object Object]
 
Flooding in the UK July 2007 ,[object Object],[object Object]
Must include uncertainty in our designs ,[object Object],[object Object],[object Object]
Hall & Hine, IAHR 2007
Hall & Hine, IAHR 2007
Public perception We cannot deliver certainties as before. Flooding will happen, particularly with localised urban flooding due to more extreme rainfall events. A policy of keeping our feet dry at all costs is no longer feasible. Must emphasise that whilst we can alleviate we cannot prevent.
Learn from developing countries ,[object Object],[object Object],[object Object],[object Object]
Modelling opportunity/challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multiple simulations ,[object Object],[object Object],[object Object]
Combining data sources LiDAR/map-based data
 
Urban
Multiple simulations ,[object Object],[object Object],[object Object]
Simpler models ,[object Object],[object Object]
Parallelisation Massively-parallel systems based on PC architecture (1000+ processors). or Cheaper multi-core systems.
Carlisle 2005, Env. Agency:
Carlisle simulation ,[object Object],[object Object],[object Object],[object Object]
 
115 Km reach, 53.5Km upstream of junction,  62 Kms downstream Surface of  Km2 36 processors dl = 50 m
Key figures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object]
Thank You! Questions and remarks

Weitere ähnliche Inhalte

Andere mochten auch (8)

Peter Coddington, Yorkshire Water
Peter Coddington, Yorkshire WaterPeter Coddington, Yorkshire Water
Peter Coddington, Yorkshire Water
 
Beulah Keane
Beulah KeaneBeulah Keane
Beulah Keane
 
Beulah Keane
Beulah KeaneBeulah Keane
Beulah Keane
 
MoBots introduction
MoBots introductionMoBots introduction
MoBots introduction
 
Mike Barker, Arup
Mike Barker, ArupMike Barker, Arup
Mike Barker, Arup
 
Stephen Palmer, MWH
Stephen Palmer, MWHStephen Palmer, MWH
Stephen Palmer, MWH
 
Decision Making
Decision MakingDecision Making
Decision Making
 
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika AldabaLightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
 

Ähnlich wie Zevenbergen Inaugural

Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
Up or Out?—Economic-Engineering Theory of Flood Levee Height and SetbackUp or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
Tingju Zhu
 
Hydrological Modelling of Slope Stability
Hydrological Modelling of Slope StabilityHydrological Modelling of Slope Stability
Hydrological Modelling of Slope Stability
Grigoris Anagnostopoulos
 
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
lleonardSlideShare
 

Ähnlich wie Zevenbergen Inaugural (20)

Harnessing the virtual realm
Harnessing the virtual realmHarnessing the virtual realm
Harnessing the virtual realm
 
Flood Forecasting AI .pptx
Flood Forecasting AI .pptxFlood Forecasting AI .pptx
Flood Forecasting AI .pptx
 
DSD-INT 2023 Flood hazard maps for spatial development - Stolp
DSD-INT 2023 Flood hazard maps for spatial development - StolpDSD-INT 2023 Flood hazard maps for spatial development - Stolp
DSD-INT 2023 Flood hazard maps for spatial development - Stolp
 
005 Mapping and modelling climate change impacts, vulnerable features and com...
005 Mapping and modelling climate change impacts, vulnerable features and com...005 Mapping and modelling climate change impacts, vulnerable features and com...
005 Mapping and modelling climate change impacts, vulnerable features and com...
 
Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
Up or Out?—Economic-Engineering Theory of Flood Levee Height and SetbackUp or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
Up or Out?—Economic-Engineering Theory of Flood Levee Height and Setback
 
MAXSS & NVIDIA
MAXSS & NVIDIAMAXSS & NVIDIA
MAXSS & NVIDIA
 
The Role of University Energy Efficient Cyberinfrastructure in Slowing Climat...
The Role of University Energy Efficient Cyberinfrastructure in Slowing Climat...The Role of University Energy Efficient Cyberinfrastructure in Slowing Climat...
The Role of University Energy Efficient Cyberinfrastructure in Slowing Climat...
 
DSD-INT 2023 European Digital Twin Ocean and Delft3D FM - Dols
DSD-INT 2023 European Digital Twin Ocean and Delft3D FM - DolsDSD-INT 2023 European Digital Twin Ocean and Delft3D FM - Dols
DSD-INT 2023 European Digital Twin Ocean and Delft3D FM - Dols
 
How to Prepare Weather and Climate Models for Future HPC Hardware
How to Prepare Weather and Climate Models for Future HPC HardwareHow to Prepare Weather and Climate Models for Future HPC Hardware
How to Prepare Weather and Climate Models for Future HPC Hardware
 
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - Vilmin
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - VilminDSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - Vilmin
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - Vilmin
 
Resilience: Global Imperative for 2013 and Beyond_Mesh evans april 25 2013
Resilience: Global Imperative for 2013 and Beyond_Mesh evans april 25 2013Resilience: Global Imperative for 2013 and Beyond_Mesh evans april 25 2013
Resilience: Global Imperative for 2013 and Beyond_Mesh evans april 25 2013
 
Educause09 Smarr Arnaud
Educause09 Smarr ArnaudEducause09 Smarr Arnaud
Educause09 Smarr Arnaud
 
Hydrological Modelling of Slope Stability
Hydrological Modelling of Slope StabilityHydrological Modelling of Slope Stability
Hydrological Modelling of Slope Stability
 
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
Data‐intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GI...
 
DSD-INT 2016 Integrating information sources for inland waters modelling - Ba...
DSD-INT 2016 Integrating information sources for inland waters modelling - Ba...DSD-INT 2016 Integrating information sources for inland waters modelling - Ba...
DSD-INT 2016 Integrating information sources for inland waters modelling - Ba...
 
Ice flooding 2015 - dhi delegate pack-v2
Ice flooding 2015 - dhi delegate pack-v2Ice flooding 2015 - dhi delegate pack-v2
Ice flooding 2015 - dhi delegate pack-v2
 
Learning from data: data mining approaches for Energy & Weather/Climate appli...
Learning from data: data mining approaches for Energy & Weather/Climate appli...Learning from data: data mining approaches for Energy & Weather/Climate appli...
Learning from data: data mining approaches for Energy & Weather/Climate appli...
 
TICAL 2011 green it
TICAL 2011 green itTICAL 2011 green it
TICAL 2011 green it
 
GLIF geneva
GLIF genevaGLIF geneva
GLIF geneva
 
DSD-INT 2023 Fast compound flood modelling using reduced complexity model - d...
DSD-INT 2023 Fast compound flood modelling using reduced complexity model - d...DSD-INT 2023 Fast compound flood modelling using reduced complexity model - d...
DSD-INT 2023 Fast compound flood modelling using reduced complexity model - d...
 

Kürzlich hochgeladen

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Peter Udo Diehl
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
UXDXConf
 

Kürzlich hochgeladen (20)

Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 
THE BEST IPTV in GERMANY for 2024: IPTVreel
THE BEST IPTV in  GERMANY for 2024: IPTVreelTHE BEST IPTV in  GERMANY for 2024: IPTVreel
THE BEST IPTV in GERMANY for 2024: IPTVreel
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCustom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 

Zevenbergen Inaugural