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NUI Galway – UL Alliance First Annual ENGINEERING AND - ARAN ...

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Modelling Extreme Flood Events due to Tides, Rivers and Storm Surges<br />

Joanne Comer, Michael Hartnett<br />

Department of Civil Engineering/ECI, National University of Ireland, <strong>Galway</strong>.<br />

j.comer1@nuigalway.ie<br />

Abstract<br />

Flooding in towns and cities is commonplace in<br />

Ireland, due to both coastal and river flooding. It is<br />

anticipated that in the future this problem will increase<br />

due to the effects of climate change. Flooding of coastal<br />

hinterlands can be caused by a number of influences:<br />

high river flow, high tides, storm surges or a<br />

combination of any or all of the above. The dependence<br />

between such factors as river flow, tides, and storm<br />

surges is a pertinent point of research. It must be<br />

known how these factors interact together before<br />

flooding can be accurately predicted. To model the<br />

effects of such flooding a complete modelling solution is<br />

sought, this shall include a 3D ocean model to predict<br />

storm surges, a 2D estuary model which uses input<br />

from the surge model to model water levels in the<br />

harbour, and a floodplain model used to assess water<br />

levels within the area concerned, this project will focus<br />

on Cork harbour.<br />

1. Introduction<br />

Coastal flooding is a function of different physical<br />

phenomena therefore this research aims to investigate<br />

the interactions between tides, river flows and storm<br />

surges using extreme value joint probability theory.<br />

The main aim of the research is to develop a modelling<br />

system that will accurately predict coastal flooding due<br />

to the joint probability of these three processes.<br />

Model results will be used in conjunction with<br />

statistical theory in two ways. <strong>First</strong>ly, based on the<br />

independent occurrences of flooding from tide, storm<br />

surge and river flow joint probabilities will be derived.<br />

Secondly, past extreme events will be modelled using a<br />

detailed coastal model in which all three processes are<br />

included then combined probability models will be<br />

developed for extreme coastal flooding events. The<br />

results from both approaches will be critically analysed<br />

and compared. Finally, recommendations will be made<br />

regarding the most appropriate model to be used. It is<br />

also likely that different models may suit different<br />

coastal regions; this will be investigated and again<br />

recommendations made.<br />

This research consists of two separate work<br />

packages:<br />

1. Investigate the dependence between river flows,<br />

tides and storm surges, and thus their joint probabilities<br />

of occurrence.<br />

2. Develop a combined 3D, 2D and 1D model in<br />

order to accurately predict water levels in Cork City<br />

from a combined combination of storm surges, tides<br />

and river flows.<br />

The results of the two work packages will be<br />

combined to produce flood risk and extent maps.<br />

143<br />

2. Joint Probability Analysis<br />

Joint probability analysis is an important area of<br />

research within flood risk studies however it is a subject<br />

that has not produced many studies when used on tides,<br />

surges and river flows, especially in Ireland. A small<br />

number of studies have been carried out in the UK with<br />

the development of a best practice approach based on<br />

methods used [1]. Research of this nature is very sitespecific,<br />

there is no general model, and therefore<br />

significant work must be carried out in order to obtain<br />

results for a particular area.<br />

The joint probabilities method is used to determine<br />

the dependence of two or more variables on each other.<br />

It determines the likelihood that if one variable is above<br />

a certain threshold, then at the same time the other<br />

variable will also be over its threshold. The thresholds<br />

for each variable are set out initially and represent<br />

extreme events.<br />

3. Modelling<br />

This research proposes to develop a complete<br />

modelling system for coastal flood prediction. This will<br />

be achieved using a 3D ECOMSED model of the North<br />

Atlantic Ocean to produce accurate predictions of storm<br />

surges within the relevant coastal area. ECOMSED is a<br />

three-dimensional hydrodynamic, wave and sediment<br />

model [2]. The coastal area of Cork Harbour will be<br />

modelled in 2D using a nested DIVAST model. The<br />

numerical model DIVAST (Depth Integrated Velocities<br />

and Solute Transport) is a two-dimensional time variant<br />

model, developed for estuarine and coastal modelling<br />

[3]. These models will be linked with LISFLOOD-FP,<br />

this is a two-dimensional hydrodynamic model<br />

designed to simulate floodplain inundation over<br />

complex topography [4], high resolution topography of<br />

Cork city will be represented in the model using 2m<br />

resolution LiDAR data.<br />

4. References<br />

[1] Hawkes and Svensson (2005). ''Joint Probability:<br />

Dependence Mapping and Best Practice''. Defra /<br />

Environment Agency R&D Technical Report FD2308/TR1.<br />

[2] Blumberg and Mellor (1987). ''A Description of a Three-<br />

Dimensional Coastal Ocean Circulation Model. In: Three-<br />

Dimensional Coastal Ocean Models.'' American Geophysical<br />

Union.<br />

[3] Falconer, Struve, Wu (1998). ''DIVAST Manual''. Cardiff<br />

Univeristy, Cardiff School of Engineering.<br />

[4] Bates, Horritt, Wilson and Hunter (2005). ''LISFLOOD-FP<br />

User Manual and technical note''. University of Bristol.

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