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.