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Improving statistical models for ๏ฌ‚ood risk assessment
Ross Towe1,2
Rob Lamb1
Ye Liu1
Alexandra Scott1
Jonathan Tawn2
Chris Sherlock2
1
JBA Consulting; 2
Lancaster University.
Motivation for the KTP
Floods impact on both individuals and communities, and have
social, economic, and environmental consequences
The 2013/2014 UK winter ๏ฌ‚oods are an example of the impact of ๏ฌ‚ooding
An aerial view of ๏ฌ‚ooding on the Somerset levels on 2 February 2014.
Copyright Tim Pestridge.
JBA and Lancaster University have developed a prototype model for
assessing the risk of large scale river ๏ฌ‚ooding
The model has driven both regional and national assessments of ๏ฌ‚ood risk
Incorporate knowledge of the hydrological cycle into the statistical model
The end goal is to produce spatially and temporally realistic
๏ฌ‚ood event footprints for the insurance industry and the
Governmentโ€™s strategic planning
Who are JBA Consulting?
JBA Consulting is a specialist ๏ฌ‚ood risk and environmental
engineering consultancy
17 o๏ฌƒces across the UK and Ireland and employ over 300 people
JBA Consulting is a part of JBA Group Ltd
JBA Risk Management sell ๏ฌ‚ood risk maps and analytics to the insurance,
reinsurance and allied industries
The KTP will bene๏ฌt both JBA Consulting and Risk
Management
Why Lancaster University?
Builds on strong existing research links between the two organisations
Previous work between JBA and Lancaster has provided the
๏ฌrst tool to assess spatial risk of ๏ฌ‚ooding in multiple rivers
JBA and Lancaster have also optimised the height of all coastal ๏ฌ‚ood
protection schemes in the UK
These 900 schemes in๏ฌ‚uenced a total spend of ยฃ0.9 Billion
Why should we model ๏ฌ‚ood risk?
Floods are likely to occur simultaneously at a number of
locations
Accounting for this dependence between locations allows us to
manage and mitigate ๏ฌ‚ood risk
Image taken from
presentation by
J.A.Tawn and
R.P.Towe for
NERC Statistics
for Environmental
Evaluation Course,
which was based
on previous work
by JBA Consulting.
How do we characterise a ๏ฌ‚ood event?
The return period of the event is used to describe the severity
of the ๏ฌ‚ood
A 100 year return period event is expected to be seen once every 100 years
Challenges we face
Measurements of river ๏ฌ‚ow are not recorded at every place along the river
network
The record length of available data varies
Di๏ฌ€erent gauging stations have missing data at di๏ฌ€erent times
Making sure that the statistical models include information about the
physical processes
How to use rainfall information to predict the spatial and temporal
behaviour of ๏ฌ‚oods
An example of where river ๏ฌ‚ow
measurements are available
along the river network. Data
locations are provided by the
National River Flow Archive
from the Centre of Hydrology.
The river network comes from
the Ordnance Survey.
Steps we have taken
Conducted a review of the previous methods used to model ๏ฌ‚ood risk
Assessed the quality of the available rainfall and river ๏ฌ‚ow data
Conducted an exploratory analysis on rainfall and river ๏ฌ‚ow data in the
North West
Developed a more computationally and statistically e๏ฌƒcient
method to handle missing values
Comparison of the existing and new methods
Consider river ๏ฌ‚ow measurements at three sites
Interested in the dependence between sites when events are large
Measurements are transformed to be on the same numerical scale
A 100 year event is observed at site 1, we want to know the values that
could be observed at site 2 and 3
Plot of the possible events at site 2 and 3. The black points represent those
events that are observed and the red points are simulated events.
Bene๏ฌts:
The new method generates a more realistic set of ๏ฌ‚ood event sets
The new method is also computationally more e๏ฌƒcient
Next Steps
Further assess the existing methods that are used by JBA Consulting
Prioritise the ways in which to improve the statistical models
Work out how we can use rainfall to produce more realistic predictions of
๏ฌ‚ood events along the river network
How I have bene๏ฌted from the KTP
Attended the ๏ฌrst KTP module
Writing up papers from my PhD and previous work with the JBA Trust
Gained experience of presenting at an international conference
Helping to supervise a MSc dissertation project
KTP Associates Conference 2015 Email: ross.towe@jbatrust.org Twitter: @KTP LU JBA

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Improving statistical models for flood risk assessment

  • 1. Improving statistical models for ๏ฌ‚ood risk assessment Ross Towe1,2 Rob Lamb1 Ye Liu1 Alexandra Scott1 Jonathan Tawn2 Chris Sherlock2 1 JBA Consulting; 2 Lancaster University. Motivation for the KTP Floods impact on both individuals and communities, and have social, economic, and environmental consequences The 2013/2014 UK winter ๏ฌ‚oods are an example of the impact of ๏ฌ‚ooding An aerial view of ๏ฌ‚ooding on the Somerset levels on 2 February 2014. Copyright Tim Pestridge. JBA and Lancaster University have developed a prototype model for assessing the risk of large scale river ๏ฌ‚ooding The model has driven both regional and national assessments of ๏ฌ‚ood risk Incorporate knowledge of the hydrological cycle into the statistical model The end goal is to produce spatially and temporally realistic ๏ฌ‚ood event footprints for the insurance industry and the Governmentโ€™s strategic planning Who are JBA Consulting? JBA Consulting is a specialist ๏ฌ‚ood risk and environmental engineering consultancy 17 o๏ฌƒces across the UK and Ireland and employ over 300 people JBA Consulting is a part of JBA Group Ltd JBA Risk Management sell ๏ฌ‚ood risk maps and analytics to the insurance, reinsurance and allied industries The KTP will bene๏ฌt both JBA Consulting and Risk Management Why Lancaster University? Builds on strong existing research links between the two organisations Previous work between JBA and Lancaster has provided the ๏ฌrst tool to assess spatial risk of ๏ฌ‚ooding in multiple rivers JBA and Lancaster have also optimised the height of all coastal ๏ฌ‚ood protection schemes in the UK These 900 schemes in๏ฌ‚uenced a total spend of ยฃ0.9 Billion Why should we model ๏ฌ‚ood risk? Floods are likely to occur simultaneously at a number of locations Accounting for this dependence between locations allows us to manage and mitigate ๏ฌ‚ood risk Image taken from presentation by J.A.Tawn and R.P.Towe for NERC Statistics for Environmental Evaluation Course, which was based on previous work by JBA Consulting. How do we characterise a ๏ฌ‚ood event? The return period of the event is used to describe the severity of the ๏ฌ‚ood A 100 year return period event is expected to be seen once every 100 years Challenges we face Measurements of river ๏ฌ‚ow are not recorded at every place along the river network The record length of available data varies Di๏ฌ€erent gauging stations have missing data at di๏ฌ€erent times Making sure that the statistical models include information about the physical processes How to use rainfall information to predict the spatial and temporal behaviour of ๏ฌ‚oods An example of where river ๏ฌ‚ow measurements are available along the river network. Data locations are provided by the National River Flow Archive from the Centre of Hydrology. The river network comes from the Ordnance Survey. Steps we have taken Conducted a review of the previous methods used to model ๏ฌ‚ood risk Assessed the quality of the available rainfall and river ๏ฌ‚ow data Conducted an exploratory analysis on rainfall and river ๏ฌ‚ow data in the North West Developed a more computationally and statistically e๏ฌƒcient method to handle missing values Comparison of the existing and new methods Consider river ๏ฌ‚ow measurements at three sites Interested in the dependence between sites when events are large Measurements are transformed to be on the same numerical scale A 100 year event is observed at site 1, we want to know the values that could be observed at site 2 and 3 Plot of the possible events at site 2 and 3. The black points represent those events that are observed and the red points are simulated events. Bene๏ฌts: The new method generates a more realistic set of ๏ฌ‚ood event sets The new method is also computationally more e๏ฌƒcient Next Steps Further assess the existing methods that are used by JBA Consulting Prioritise the ways in which to improve the statistical models Work out how we can use rainfall to produce more realistic predictions of ๏ฌ‚ood events along the river network How I have bene๏ฌted from the KTP Attended the ๏ฌrst KTP module Writing up papers from my PhD and previous work with the JBA Trust Gained experience of presenting at an international conference Helping to supervise a MSc dissertation project KTP Associates Conference 2015 Email: ross.towe@jbatrust.org Twitter: @KTP LU JBA