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Modelling and mapping of urban storm
water flooding – Using simple
approaches in a process of Triage.
Blanksby J.* Kluck J.**, Boogaard F.C.*+
***, Simpson S.****, Shepherd W.* and Doncaster S.*
* Pennine Water Group, Department of Civil and Structural Engineering, University of Sheffield, UK
** Tauw bv, Zekeringstraat 43 g, 1014 BV AMSTERDAM, the Netherlands
*** Delft university of Technology. Department of Sanitary Engineering, Faculty of Civil Engineering
and Geosciences, Delft University of Technology, P.O. Box 5048, NL-2600 GA, Delft, the Netherlands
**** City of Bradford Metropolitan District Council, UK
Email corresponding author: [email protected]
Abstract Climate change and densification of urban areas are likely to result in more frequent flooding. The
long recognised problems of short peak rainfall intensities which exceed the storm water drainage
capacity and heavier long duration rainfall causing additional runoff from saturated urban green
space are likely to become more common, increasing the probability of flooded streets, buildings
and homes. It is becoming accepted that it will not be possible to solve these problems using
traditional European drainage methods, and that storm water needs to be managed on and above
the ground surface and that this will require the participation of different groups of stakeholders
than have been involved in the past. A major problem is how to convince other officials, concerned
with non-water related urban disciplines, of the importance of space for water. This problem is being
addressed by the EU Interreg IVB projects Skills Integration and New Technologies (SKINT) 1and
Managing Adaptive Responses to changing Flood Risk (MARE)2 in the North Sea Region and
FloodResilienCity (FRC)3 in the North West Europe Region. All three projects focus on sharing
knowledge and best practices of water management issues within urban areas and are developing
methods appropriate for application by municipalities which complement national and regional
approaches for modelling and mapping urban storm water.
1 Skills Integration and New Technologies (SKINT) http://www.skintwater.eu/
2 Managing Adaptive Responses to changing Flood Risk (MARE) http://www.mare-project.eu/
3 FloodResilienCity (FRC) http://www.floodresiliencity.eu/en/about/index.php?mod=login&sel=setcookie
Introduction From the 1970s there has been a steady progression in the development of modelling techniques for
urban storm drainage. At the beginning of this period the Rational Method and its derivative such as
Area Time diagrams had been in use since the mid nineteenth century. However, since the 1970s,
the development of computers has enabled introducing in increasingly sophisticated hydrodynamic
modelling software supported by better understanding of rainfall and surface and sub surface
hydrological processes. The UK progression is typical of development in Europe including:
• In the 1970s the development of the TRRL Hydrograph method (Watkins, 1977) capable of
simulating flows and depth up to pipe full capacity
• In the 1980s the publication of the Wallingford Procedure (DoE 1983) and the complimentary
software WASSP capable of simulating surcharged flow in dendritic systems
• In the 1990s the enhancement of WASSP in WALLRUS and the development of HYDROWORKS
using the St Venant equations and Preissman Slot to enable the modelling of heavily bifurcated
systems with backflows.
All of these developments used one dimensional modelling techniques whereby the effects of depth
of flow on the surface could be determined and the modelling of surface pathways as channels could
also be achieved, but this was limited in its application. As a result of this the determination of the
routing of excess surface flows was carried out in the field. In this period a considerable effort has
been put into the development of user interfaces with graphics facilities using digital mapping
techniques to build models and display results and in the UK, software such as InfoWorks and Micro
Drainage have considerately enhanced to experience of modelling.
In the late 1990s and since the Millennium, there has been an increasing use of two dimensional
modelling to simulate the passage of flows over the urban surface. Two different approaches have
been adopted; grid based (raster) Triangular Irregular Networks (TINs). These approaches have been
used independently or linked to 1D approaches for both urban storm drainage and river modelling
and given unlimited resources would be used in all circumstances. However resources are limited
and this influences the uptake of modelling and because of this, these models are not applicable for
all cases yet. A desk top review of 2D surface modelling practice has been carried out by the English
Environment Agency (Neelz and Pender 2009) and further information can be found in this report.
This paper considers the impacts of the resource limitations and then identifies how the user
focussed approaches of SKINT, MARE and FRC are contributing to identification of different
components of flooding and hence the stakeholders who should be involved and fund the
investigation, design and implementation of urban flood risk management measures and what
modelling approaches and data should be used within the investigation process.
Digital Elevation Models LIDAR (Light Detection and Ranging) has become the most common method of collecting elevation
data. It can be obtained at a range of resolutions using fixed wing and helicopter areal platforms and
vehicular land based platforms. Although conventional and GPS surveying techniques can provide
more accurate information on local areas, LIDAR is a much more cost effective means of covering
large areas.
However, there are a number of factors that need to be considered when using LIDAR based digital
elevation models for flood risk modelling.
Resolution
Typically, airborne LIDAR has a vertical resolution ranging between 5 cm and 15 cm with horizontal
resolution ranging between 25 cm and 2 metres. The higher resolutions tend to be more expensive,
using helicopter platforms flying low level narrow paths whereas the lower resolutions can be
obtained using higher level fixed wing platforms flying wider paths, which are more cost effective.
Even higher resolution land based surveys can be carried out with 1cm vertical and 5 cm horizontal
resolution. This type of survey provides and effective three dimensional image of a street scene, but
does not provide information behind properties
The issues relating to resolution are as follows:
• The higher the resolution, the greater the resource required for data capture, storage and
processing.
• The lower the resolution, the less accurate the representation of the urban surface.
There is a need to balance the requirements of terrain modelling with the resources required to
produce, manage and use the data, but in both the UK and the Netherlands 1m horizontal resolution
Lidar data is often viewed as a starting point
Storage and processing
LIDAR data is generally provided in ASCII format and stored as a raster grid. This means that a 5cm
horizontal resolution vehicular based DEM requires 400 hundred times the storage capacity of a 1m
resolution fixed wing DEM, and that excludes the storage of data on the faces of buildings. The
impact on data processing is even greater, but this will be discussed on the section on modelling.
Representation of the urban surface
It goes without saying that urban flow pathways are affected by relatively minor surface features
such as narrow walls, earth mounds under hedges, and road kerbs. Although some of these may be
picked up by medium resolution LIDAR, it is only the very high resolution DEMs that will provide a
truly accurate representation of the ground surface. The effect is particularly significant on convex
surfaces, whereas in concave (valleys) they are less important. Nevertheless, LIDAR users should
make themselves fully aware of the potential for lower resolution DEMs to provide misleading
results. The difficulty in using vehicle based LIDAR behind buildings should also be considered.
Currency of the DEM
Any DEM is a snapshot in time and is therefore subject to the effects of urban development.
Updating DEMs along major rivers or sea fronts is not a major problem, as in urban areas any
activities in these locations will be well documented and new levels and alignments will be readily
available. However, away from these areas, in the majority of the urban area where surface water
flooding is the main problem, the continuous and widespread process of urban renewal will result in
many unrecorded changes such as highway resurfacing which can reduce the capacity for roads to
act as pathways. In addition, at times of flooding, people can use temporary flood defences such as
sandbags which can have a major impact on flow pathways. This is a reason to treat even the highest
resolution DEM with caution when it comes to modelling.
Another point is that people tend to forget that a model (or the data for a model) can be imperfect
at some points if the results appear more and more realistic. This is certainly the case for a DEM,
which gives a very realistic representation of the reality. Also the more data is used in a model, or
the larger the area modelled, the more errors it contains and the harder it becomes to find all the
relevant errors.
Passageways, Bridges and Culverts.
Unless an areal based LIDAR survey flies directly over a narrow passage it is possible that the signal
will not penetrate to the bottom of the passage and hence the ground elevation within the passage
will be incorrectly recorded. In the case of bridges, the recorded ground level will be the bridge deck
and not the ground under the bridge. Similarly a LIDAR survey will not identify a culvert passing
under and embankment. In all cases, the flow pathways will be wrongly identified and so steps
should be taken to provide adequate representation by amending ground levels, removing bridge
decks and inserting slits across embankments. However, although in the case of passageways the
amendment of ground levels has no side effects, in the case of bridges and culverts, the flow
pathways over the top of the bridge or embankment are interrupted by the actions taken.
Value of DEMs
Despite the above, the value of DEMs is not in dispute. There is no other easy way to identify flow
pathways and determine the areas putting critical urban infrastructure at risk of flooding. The lesson
to be learned from above is that outputs of modelling using LIDAR based DEMs should not be taken
at face value and that where actions are to be taken as a result of modelling, then detailed local
checks and enhancements should be made. Nevertheless there are many cases where these
problems do not exist, or where their effect is minimal such is in large flat areas as occur in the
Dutch polders, or the North European Plain, even the lower resolution DEMs can be fit for purpose.
Modelling approaches Over the past thirty years most countries in the North Sea and North West Europe Regions have
developed a considerable capacity for hydrodynamic modelling of urban drainage, river and coastal
systems. The initial developments in 1D models identified within the introduction have proved to be
effective, but the large amount of modelling required by the EU Flood Directive has resulted in the
development of 2D modelling typically at low (5m) horizontal resolution for both coastal and river
systems and also urban areas. The UK is typical of this for river and coastal flood risk modelling and
in addition has produced surface water flood risk maps at 5m resolution taking account of but not
modelling drainage system capacity for events with return probabilities of once in thirty and once in
two hundred years.
The surface water modelling and mapping of the whole of England is a huge task, but although best
endeavours have been made to resolve issues the models are only appropriate to preliminary flood
risk assessments. However, the nature of the 2D models does not distinguish between the different
sources of flooding and so additional approaches are required to do this. Additionally, the modelling
approaches described above are highly specialised and expensive to implement. So simplified
approaches designed for implementation within municipalities have been designed to:
• identify the contribution of different types of urban surface to flooding,
• to identify to those responsible for those surfaces that they should be involved in the
management of flood risk,
• to identify the analytical approach required and the resources needed, and where possible
• to provide the necessary solutions.
For the modelling of flooding in Urban areas a high resolution DEM is needed (at least 1m horizontal
resolution) to make sure that possible above ground small water ways likes alleys will be in the DEM,
without being blocked by the surrounding houses. For really small alleys this might even be too
coarse. However, when using vehicle mounted Lidar with extremely high resolution, including
building faces, the amount of data presented can cause confusion and it becomes necessary to leave
out some of the data.
GIS based modelling
Flood component analysis – a framework for identifying causes and
attributing responsibility for flooding
Flood component analysis was developed by David Wilson of Scottish Water as a means of
illustrating responsibilities for flooding to the different partners involved in the Glasgow Strategic
Drainage Plan. In its initial form the flood component analysis used different modelling techniques to
estimate the volume of different sources of flooding, but here GIS based approaches are used as a
preliminary assessment.
Figure 1 shows the main flood components, with an indication of the impacts of future drivers
(climate change and urbanisation) and an example of how the main components may be further sub
divided.
Surface water
and soil
Drainage
infrastructure
Groundwater
Streams, rivers
and artificial water bodies
Coastal water
+
+
+
+
+
Surface water
and soil
Drainage
infrastructure
Groundwater
Streams, rivers
and artificial water bodies
Coastal water
Depth of
flooding
Changing depth
of flooding due to climate change and/or
urbanisation
Po
ss
ible
in
tera
cti
on
s a
ffe
cti
ng
dra
ina
ge in
fra
str
uctu
re p
erf
orm
an
ce
Current
Impacts of changing
rainfall patterns
Longer duration, low
to medium intensity rainfall events
Shorter duration high
intensity storm events
Rural green space
Green space at urban fringe
Green space within urban area
Developed urban surface
Sub divisions of
surface water and
soil
Figure 1: Flood component analysis and the impact of future drivers
The need for a preliminary flood component analysis
There are benefits in carrying out an assessment to identify the potential causes of flooding prior to
embarking on detailed diagnostic studies. The results of the assessment will help to identify:
• The organisations which should be involved
• Appropriate modelling techniques
• Data collection needs
• Resource requirements
• Costs and their likely distribution.
The proposed approach may be used as part of the investigation of a specific flood incident or as a
general approach to the assessment of flood risk of high vulnerability infrastructure and buildings.
Rationale
The approach should be simple and should be capable of automation and should use readily
available data
Data requirements
The analysis requires the following information as a minimum:
• A digital elevation model
• Digital maps with layers identifying different types of surfaces
• Digital flood hazard, probability, risk and extent maps for coastal and river flooding
In addition information on the distribution of depth, duration and frequency of local rainfall will
provide enhanced outputs, as will basic information of the hydraulic performance of drainage
infrastructure. In the absence of the latter, the analysis will enable a preliminary assessment of
drainage infrastructure performance to be made where knowledge of the rainfall causing flooding
exists.
Aim
To identify how the following flood components may contribute to flooding
• Water bodies
o Coastal
o Rivers
o Streams
• Drainage infrastructure
• Surface types
o Rural green space
o Green space at the urban fringe
o Urban Green space
o Developed urban surfaces
� Highways
� Buildings and structures
The preliminary flood component analysis process
The process has 11 elements as follows:
1) Define surface water management zone boundaries (Figure 2)
2) Identify all pathways and sinks
3) Identify pathways and sinks associated with surface water
4) Identify pathways, sinks and flood extents associated with water bodies (Figure 3a)
a) Coastal, rivers and large streams
b) Small streams
5) Identify contribution from developed urban surfaces (Figure 3b and 3c)
a) Highways
b) Buildings, structures and associated ground surfaces
6) Identify contribution from green space (Figure 3c)
a) Urban Green space
b) Green space at the urban fringe
c) Rural green space
7) Assess drainage system capacity
8) Assess decay rates for surface water flooding along developed urban surface (Figure 4)
9) Assess decay rates for flooding from small streams along developed urban surface
10) Assess joint probabilities
11) Finalise flood component analysis
The catchment covers the City of Bradford area
with a distance of up to 15Km West to East and 8
Km South to North
Potential Surface Water Management Zones
and example of final selection
Figure 2: Example of the sub division of a large city catchment into manageable surface water
management zones
The process is progressive and may be terminated at various points, depending on the available
data. On the completion of Element 4 it will be possible to define those areas subject to flooding
from:
• Coastal water
• Rivers
• Large streams
• Small streams
• Surface water
It will also be possible to identify those areas where there are joint probabilities of flooding and in
the case of surface water and small streams identify their relative contribution.
Example of potential accumulations from
overflowing watercourse
Example of potential accumulations from
highways
Example of potential accumulations from
developed areas
Example of potential accumulations from green
space
Figure 3: Potential contributions to flooding form urban surfaces
under different ownership
Legend
Accumulation (s.m.)
2,501 – 10,000
10,001 – 50,000
50,001 – 100,000
100,001 – 500,000
500,001 – 1,000,000
> 1,000,000
On completion of Element 7 it will be possible to identify the potential contributions from small
streams and different surface types by comparing the accumulations at any point without any
modelling.
With a minimum of modelling based on rational approaches, Elements 8 and 9 take account of the
capacity within the different urban drainage systems to accept and transport surface water runoff
from urban green space and blocked or overloaded stream culverts. Having calculated the runoff,
this approach, calculates a rate of decay for flooding emanating as it flows along pathways in
developed urban areas, and into drainage systems through gullies, providing that the capacity of the
drainage systems serving those areas are not exceeded.
This provides a method of determining the extent of the impact of runoff from green space
saturated by long duration, heavy, (but not intense) cyclonic rainfall, which is the cause of the
majority of flooding incidents in and around urban areas in the UK.
Runoff from green space enters the highway at
points 1 – 4. Gulleys located at points A - T
Graph showing decay in surface water discharge
and depth as it flows past gulleys with spare
capacity
Figure 4: Simple modelling of flood decay as flows from green space enter drainage system
Finally, Elements 10 and 11 draw together the results of the preceding elements to provide a
preliminary quantification of the different flood components and to inform the different players of
their involvement
Modelling and communication – using simple approaches in a process of
triage
For a good assessment of the situation and the possible solutions it is important to choose the
model which takes into account the right processes. However, sometimes it is better to start using
models which do not take into account all processes, but which give a quick and dirty first insight on
what might be situation or the effect of possible solutions.
We promote the use of an analysis of the ground elevation such as that described above. This
provides quick and understandable insight in where water might collect in depressions, how deep
these depressions would be and what the catchment area is of the water in a depression. The results
are directly presented in maps and should be combined with other maps of the flooding such as
recorded flood events and areas vulnerable to flooding,
In a workshop these maps are best discussed with the possible stakeholders who should be involved
in solving problems of urban flooding: such as local citizens supported by water engineers, urban
planners, decision makers, architects etc. This helps to promote the interaction based on local data
and can be done using a touch screen on which several GIS-maps have been prepared.
Similar methods developed independently in the Netherlands and the UK provide insight in the
above ground discharge of storm water. They assume that the storm event is so heavy that the
sewer system is completely filled and used. In the Netherlands it is assumed that from typically 60
mm of rainfall (the maximum expected rainfall in one hour for a return period of 100 year), 20 mm is
stored in and discharged by the underground drainage system. The other 40 mm is stored on or
flows over the surface. Based on the DEM and the type of surface the locations of depressions and
the flow path are estimated and presented. There is no flow simulation used, only a evaluation of
what is higher and what is lower.
This general insight is easily carried out by GIS specialists rather than water engineers and the results
can be communicated with urban planners, decision makers and other stake holders who should be
involved in solving problems of urban flooding. The principles of such a model are easily understood
and it is our experience in the Netherlands that because of this the deficiencies in the model are
easily accepted. Used in preliminary assessments such a general approach can also afford not to be
correct, because it can quickly be rerun, or people can imagine and point out themselves how the
water would flow.
This process helps to develop a better understanding of the situation and can result in the synthesis
of options. This can stimulate discussion of what measures are acceptable and the prioritisation of
the response and what can and can’t be solved and what is of no importance. In effect it is a form of
triage. The approach can be used to identify where detailed modeling is required and provide a
preliminary assessment of options prior to the selection of specific options for more detailed
modeling.
If in the case of detailed models, an important omission in the data is found after complex
simulations have been made, the validity of the whole model can be thrown into question. A
complex model not only requires more data and more computational time, it is also far more
difficult to check that all essential data is in it correctly.
For that reason we recommend to start exploring the situation and possible solutions using simple
models in the first case prior to the use of more complex models in critical locations and for critical
options.
References DoE 1893, Department of the Environment/National Water Council Standing Technical Committee.
The Wallingford Procedure, HR Wallingford 1983.
Kluck J., et al. Modelling and mapping of urban storm water flooding, Novatech Lyon 2010.
Neelz S., and Pender G., Desktop review of 2D hydraulic modelling packages, Science report,
SC080035, Environment Agency, July 2009, ISBN 978-1-84911-079-2,
http://publications.environment-agency.gov.uk/PDF/SCHO0709BQSE-E-E.pdf
Watkins L.H. The TRRL hydrograph method of urban sewer design adapted for tropical conditions,
Proceedings of the Institution of Civil Engineers, Part 2, 1977, 63, June, 501-508.