Ochoa-Rodriguez, S

English

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International Research on Flood Resilience at Imperial College London • Climate KIC Blue Green Dream Project: Integrating Blue and Green Urban Assets for the City of Tomorrow Susana Ochoa Rodríguez and Prof. Čedo Maksimović BRE & SMARTeST Seminar: Building Flood Resilient Communities BRE, Garston, Watford, 14th June 2012  • Crue Era-Net DIANE-CM Project: Decentralised Integrated ANalysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk • NWE Interreg IVB RainGain Project: Advanced observation and rainfall prediction for urban pluvial flood management                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research DIANE-CM PROJECT  Decentralised Integrated ANalysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk  (Jan 2010 – Oct 2011)   Flood Risk Management Via Collaborative Modelling Project Partners Leuphana University of Lüneburg (Germany) Imperial College London (United Kingdom) UNESCO-IHE Institute for Water Education (The Netherlands)                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Contents • Objectives and methodology • Case studies • Implementation: UK case study • Conclusions                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Main objectives • To enhance flood risk awareness and capacity through collaborative modelling and social learning • Supported by improved flood modelling and mapping techniques and by web-based decision support making tools Enhance resilience of local communities to flooding                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Numerical Weather Prediction: UM/MM510 km1 kmC-BandMeteorological RadarX-Band1 km100 mGround Raingauge NetworkCALIBRATIONT = FutureT = CurrentitNOWCASTING1 kmSTATISTICALLYDOWNSCALING itTemporalSpatialGoals and Working Steps  2. Improvement of flood modelling, mapping and Near-Real-Time flood forecast 1. Stakeholder identification and analysis 3. Collaborative Modelling for participatory and improved flood risk management Ofwat DefraHighways AgencyMet Office GLAThames WaterEnvironment AgencyFire BrigadeRedbridgeEmergency PlanningDepartmentLocal CouncilRedbridgeHighwaysand EngineeringMetropolitan PoliceServiceTransportfor LondonRedbridgePlanningDepartmentLocalCoucillorsNational Express(RailwayOperator)Riverside ConcernUtilities- gas, electricity, waterFlood WardensResidentsBusinessesFlood Forecasting CentreLocal ChampionsPrimary StakeholdersSecondary StakeholdersTertiary StakeholdersRegional and National Level InstitutionsSTAKEHOLDERS ORGANI – SOCIOGRAMUK CASE STUDY (LONDON BOROUGH OF REDBRIDGE)Flow of information (1-way or 2-way, according to arrows)Flow of information + close cooperationFlow of information + potential conflictsPotential flow of informationPotential cooperationStrong cooperation during flood eventsStrong cooperation for flood forecastingCanoe ClubInsurance Companies?Maybank AssociationRedbridge Council for Voluntary ServicesBroadmed Road Baptist ChurchRedbridge Flood ForumRedbridgeNHSSchools and DaycaresYouth GroupsMultipliersMEDIA(Redbridge Life, Ilford Recorder, Redbridge I, radio)4. Enhancing resilience through training, awareness raising and dissemination                                                         Integrate, Consolidate  and Disseminate       European Flood Risk Management Research UK Case Study: Cranbrook catchment   Focus: surface flooding  Area: approx. 9 km2, predominantly urbanised  Located within the London Borough of Redbridge (NE of London)  Subcatchment of Roding River catchment #*#*!(RedbridgeHigh Ongar0 7.5 153.75KilometersLegendRiver flow gauging stationsCran Brook catchmentSeven Kings catchmentRoding catchment#*London Redbridge                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research     Focus: fluvial flooding  L= 56 km, A = 587 km2.  Tributary of Elbe river  High damage potential   Natural and canalised parts, dammed lakes German Case Study: Alster river catchment                                                         Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Focus on surface flooding - Focus on flood risk and event management - Planning issues with GE support - Focus on fluvial flooding - Surface flooding with UK support Focus on planning issues Supported by web-based tools (UNESCO-IHE) and experiences of Dutch experts in planning and flood risk mana ment                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Implementation: UK Case Study                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Step 1: Stakeholder Analysis Objectives: • To identify relevant stakeholders • To understand interrelations between them • To understand current situation and needs regarding FRM in the study area                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Methodology • A common framework for the stakeholder analysis was developed and used for both case study areas to ensure comparability • Brainstorming session • 10 structured interviews • Summary of information in parameter table • Categorisation of stakeholders through MCA (Multi-Criteria Analysis) • Elaboration of organi and sociogram • Flood risk awareness evaluation                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research According to their role in FRM and their activities According to their relevance in FRM and their role in the project  Flood management professionals  Emergency managers  Planners  General public  Local Champions  Primary stakeholders  Secondary stakeholders  Tertiary stakeholders Categorisation of stakeholders  (Through Multi-Criteria Analysis) Criteria taken into account: role in FRM, responsibilities, available resources, available information, willingness to cooperate, confidentiality issues, etc.                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Ofwat DefraHighways AgencyMet Office GLAThames WaterEnvironment AgencyFire BrigadeRedbridgeEmergency PlanningDepartmentLocal CouncilRedbridgeHighwaysand EngineeringMetropolitan PoliceServiceTransportfor LondonRedbridgePlanningDepartmentLocalCoucillorsNational Express(RailwayOperator)Riverside ConcernUtilities- gas, electricity, waterFlood WardensResidentsBusinessesFlood Forecasting CentreLocal ChampionsPrimary StakeholdersSecondary StakeholdersTertiary StakeholdersRegional and National Level InstitutionsSTAKEHOLDERS ORGANI – SOCIOGRAMUK CASE STUDY (LONDON BOROUGH OF REDBRIDGE)Flow of information (1-way or 2-way, according to arrows)Flow of information + close cooperationFlow of information + potential conflictsPotential flow of informationPotential cooperationStrong cooperation during flood eventsStrong cooperation for flood forecastingCanoe ClubInsurance Companies?Maybank AssociationRedbridge Council for Voluntary ServicesBroadmed Road Baptist ChurchRedbridge Flood ForumRedbridgeNHSSchools and DaycaresYouth GroupsMultipliersMEDIA(Redbridge Life, Ilford Recorder, Redbridge I, radio)                                                       Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Flood Risk Awareness Assessment • Access to results of survey previously conducted by the Local Council (in 2007) • 10 flood risk assessment questionnaires submitted online Main findings - Flood Risk Awareness Assessment • High turnover rate • New residents are of particular concern; they were found to have little or no knowledge of flood risk. • Old residents are aware of flood risk, but have not adopted self-protection measures • The public wishes for structural measures, limited recognition for self-resilience measures                                                          Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Main findings - Flood Risk Awareness Assessment • Flooding vulnerable residents have not taken any precautions to protect their properties. • Lack of knowledge regarding whether they live in a flood risk area • Insufficient information and training concerning what to do in case of flooding, in spite of significant efforts of Local Council • Misunderstanding regarding the roles of the different authorities (e.g. Local Council, Police, Fire Brigade, Environment Agency) • Flood warden scheme is considered to be a good option for improving event management • Participants would be willing to use internet web based tools.                                                         Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Step 2: Improved flood modelling UK Case Study:  focus on pluvial flooding Extreme rainfall events exceed the capacity of the drainage system!                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Model Assembly for Pluvial Flood Modelling, Forecasting and Management Observations Rainfall Estimation / Forecasting Flood Modelling / Forecasting Management (urban planning, emergency)                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Observations Rainfall Estimation / Forecasting Flood Modelling / Forecasting Management Deployment of monitoring system with Real-Time transmission                                                         Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Observations Rainfall Estimation / Forecasting Flood Modelling / Forecasting Management - Improvement of rainfall estimates through combination of raingauge and radar data - Development of new temporal and spatial downscaling techniques T = FutureT = Current10 - 30 km1 - 2 kmC-BandX-Band1 km100-500 mGround Raingauge Network1 kmiCALIBRATIONitNumerical Weather Prediction: UM/MM5TemporalSpatialMeteorological RadartSTATISTICALLYDOWNSCALING                                                       Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Observations Rainfall Estimation / Forecasting Flood Modelling / Forecasting Management - Setup of 1D/2D and 1D/1D models - Development of hybrid models                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Step 3: Collaborative Modelling for participatory flood risk management COLLABORATIVE PLATFORM • Online platform whereby information about flood risk in the study area is provided and discussed amongst participants and feedback can be provided • Supports development of shared understanding of current flood risk • Supports collaborative ranking of alternatives for FRM From individual to collaborative modelling!                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research 2. Identification of flood risk management objectives Obj1 Obj2 Obj3 Obj4 Obj5 To reduce the magnitude of surface flooding To minimise the damage to properties To minimise damage to critical infrastructure To maximise the opportunity of salvaging belongings To maximise ease and feasibility of implementation Steps for Collaborative Modelling (supported by platform): 3. Definition of flood scenarios 4. Identification of alternatives for FRM • 30 years return period + lower level at the Roding River • 30 years return period + high level at the Roding River • 200 years return period + high level at the Roding River • 200 years return period + high level at the Roding River (base case for the CME) • A1 (base case): Do nothing • A2: Rainwater harvesting • A3: Improved and targeted maintenance regimes for the sewer system • A4: Improved resistance for preventing water from entering properties • A5: Improved rainfall and flood forecasting and warning 1. System definition 5. Joint / collaborative ranking of alternatives                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research 5. Collaborative Modelling Exercise for Joint Ranking of Alternatives for FRM • Developed through three modules: -MODULE 1: Individual module -MODULE 2: Group module -MODULE 3: Collaborative module and negotiation stage • Weighting of objectives • Evaluation of alternatives • Ranking (TOPSIS)                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Group Results for the UK Case Study: • A1 (base case): Do nothing • A2: Rainwater harvesting • A3: Improved and targeted maintenance regimes for the sewer system • A4: Improved resistance for preventing water from entering properties • A5: Improved rainfall and flood forecasting and warning                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research CONCLUSIONS • The developed tools proved to be useful for promoting interaction between stakeholders, developing shared knowledge, carrying out collaborative modelling and achieving social acceptance of new technologies for flood risk management.  • Engaging a wide variety of stakeholders in the decision-making process for flood risk management proved to make them more aware of the situation and increased their personal responsibility towards this issue • Having case studies of different magnitudes allowed drawing conclusions and recommendations for replication in other areas.                                                        Integrate, Consolidate  and Disseminate       European Flood Risk Management Research Some barriers for wider stakeholder involvement remain:  - Lack of knowledge and motivation - Language barriers - High residential turnover rate - Apathy to taking part in flood risk management and towards self-resilience measures CONCLUSIONS RainGain Project:  Advanced observation and rainfall prediction for urban pluvial flood management (Sep 2011 – Jul 2015) RAINGAIN Project Objective To improve fine-scale measurement and prediction of rainfall and  to enhance urban pluvial flood prediction in order to enable urban water managers to adequately cope with intense storms, so that the vulnerability of populations and critical infrastructure can be reduced.    Project Partners 1) TU Delft (NL) 2) Zuid-Holland Province (NL) 3) Gemeentewerken Rotterdam (NL) 4) KU Leuven (B) 5) Aquafin NV (B) 6) Ecole des Ponts ParisTech (F) 7) Marne-la-Vallée (F) 8) Seine-St.-Denis (F) 9) Météo France (F) 10) Imperial College London (UK) 11) Met Office (UK) 12) Local Government Flood Forum (UK) 13) Véolia (F)  Work Packages • WP1: Acquisition, installation and testing of X-band radars and high-quality radar protocols in pilot locations.  Lead: ParisTech, Daniel Schertzer   • WP2: Acquisition of rainfall data at the detailed time and spatial scales that are essential for urban rainfall and flooding prediction  Lead: KU Leuven, Patrick Willems   • WP3: Implementation of rainfall data in existing urban water models to enhance short term pluvial flood modelling and prediction  Lead: Imperial College of London, Cedo Maksimovic   • WP4: Implementation of detailed rainfall data and flood modelling results into enhanced urban water management strategies at the short and long term  Lead: TU Delft, Marie-claire ten Veldhuis Pilot Sites Rotterdam (NL) Leuven (BE) Marne-la-Vallée (FR) Seine-St.-Denis (FR) Croydon (UK) Redbridge (UK) Torbay (UK) Cooperative Work • Knowledge exchange between partners • Field visits pilot locations  • Workshops on development of common methods and training for practical application • Demonstration tools (radar, flood model), applications (radar results, model results), solutions (early warning systems, operational control, storage basins) to other partners  Integrating Blue and Green Urban Assets for the City of Tomorrow Blue Green Dream Blue Green Dream • Led by Urban Water Research Group of ICL • 4 EU countries • 14 partners and 24 supporters from academia, businesses (including SMEs) and local, regional and national governments Thank you Susana Ochoa: sochoaro@imperial.ac.uk Prof. Cedo Maksimovic: c.maksimovic@imperial.ac.uk  

International Research on Flood Resilience at Imperial College London

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International Research on Flood Resilience at Imperial College London

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