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IMPACT BREACH FORMATION.

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Presentation on theme: "IMPACT BREACH FORMATION."— Presentation transcript:

1 IMPACT BREACH FORMATION

2 IMPACT - WP2 Breach Formation Overview
The Problem to be Solved / Deliverables (MWM) Overall Approach (MWM) State of the art (MWM) Field work - Large Scale Failure (KV) Lab work - Physical modelling (MAM) Numerical modelling - model performance, development and comparison (MAM intro + Partners) Breach location (MWM)

3 Breach Formation The Problem to be Solved / Deliverables
Current Situation: Lack of reliable, accurate, user friendly tools for end users (flood defence / risk management) Lack of reliable data for model development / validation Lack of understanding of fundamental processes Lack of methodology / tool for location prediction

4 Breach Formation The Problem to be Solved
Problem to solve: The reliable prediction of breach formation (and hence potential: flood hydrograph / flood risk breach size An approach to identifying potential breach location

5 Breach Formation The Approach
The overall approach entails combining large scale field work, lab work and numerical model development / application. Field Modelling Lab Modelling Numerical Modelling 6m embankments 0.6m embankments Multi-partner Multi-model Desk / Data Analysis for Breach Location

6 Breach Formation Deliverables
Field data Lab data Comparison and development of breach models various partner models model interface for direct comparison commercial products Methodology / tool for identifying potential breach location

7 Breach Formation Key points:
Interaction between field and lab (scale) Objective numerical model testing and performance assessment Application to case study

8 Breach Formation Interaction with other Work Packages / Organisations
WP4 Sediments Near field data Fieldwork Careful planning of test prog. Interaction to optimise use of data WP2 Flood Prop Case data (need to define monitoring locations) ? Labwork (Planning meeting between HR & Stakraft + others 1st March) Numerical Modelling Include additional external organisations Data sources likely to be government / end user organisations Location


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