IMPACT BREACH FORMATION IMPACT WP 2 Breach Formation

IMPACT BREACH FORMATION

IMPACT - WP 2 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)

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

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

Breach Formation The Approach The overall approach entails combining large scale field work, lab work and numerical model development / application. Field Modelling 6 m embankments Lab Modelling 0. 6 m embankments Numerical Modelling Multi-partner Multi-model Desk / Data Analysis for Breach Location

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

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

Breach Formation Interaction with other Work Packages / Organisations Fieldwork WP 4 Sediments Near field data Labwork WP 2 Flood Prop Case data (need to define monitoring locations) Careful planning of test prog. Interaction to optimise use of data (Planning meeting between HR & Stakraft + others 1 st March) ? Numerical Modelling Location Include additional external organisations Data sources likely to be government / end user organisations