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Tomorrow's Railway and Climate Change Adaptation Final Report

2016-05-T1009-final-report

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Stakeholder workshops <strong>and</strong> other stakeholder engagement activities have highlighted<br />

the need for increased spatial <strong>and</strong> temporal resolution for rainfall information in<br />

particular. This would allow the development of better vulnerability mapping<br />

techniques. It could potentially lead to more accurate rainfall risk assessment <strong>and</strong><br />

prediction tools.<br />

An analysis for future frequency <strong>and</strong> intensity of rainfall would be a useful comparison<br />

both at the system level <strong>and</strong> for many different asset classes. However, this would be<br />

dependent on the baseline sensitivity of assets, sub-systems <strong>and</strong> the whole system to<br />

rainfall first being quantified at an appropriately high resolution.<br />

Appropriate flooding alerts will be location specific. However, flooding at a given<br />

location will impact many asset classes at once. Therefore an underst<strong>and</strong>ing of how<br />

flood risk is projected to increase across the country <strong>and</strong> beyond the l<strong>and</strong> owned by<br />

Network Rail is likely to be of benefit.<br />

Analysis of the future frequency at which a range of wind speeds may be exceeded has<br />

already been undertaken during T925 [92]. Whether further work would be useful both<br />

at the system level <strong>and</strong>/ or for different sub-systems, asset classes <strong>and</strong> locations would<br />

depend on being able to characterise existing wind sensitivities appropriately.<br />

An analysis of the future frequency of snowfall would be useful at both the system level<br />

<strong>and</strong> for many different sub-systems <strong>and</strong> asset classes. To some extent this is covered by<br />

the UKCP09 technical note on snow [480]. However, appropriate consideration of the<br />

caveats to this report would be required, as would any known sensitivities of particular<br />

locations <strong>and</strong> assets to snow.<br />

3.1.4 Monitoring <strong>and</strong> measurement of assets<br />

In general, an enhanced programme of vulnerability mapping for all assets <strong>and</strong> locations<br />

would be a useful exercise. By way of example, Network Rail holds a critical rail<br />

temperature (CRT) register of locations which are particularly sensitive to track buckling,<br />

<strong>and</strong> this is consulted as part of the management of track buckling risk. The development<br />

of similar registers for other assets, sub-systems <strong>and</strong>/ or for other weather <strong>and</strong> climate<br />

variables is encouraged.<br />

It is recommended that the industry develops methodologies for the collection of data<br />

relating to trees, vegetation <strong>and</strong> adjacent l<strong>and</strong>. Better underst<strong>and</strong>ing of sites vulnerable<br />

to high winds can then be fed into both design <strong>and</strong> operational procedures for managing<br />

leaf, branch <strong>and</strong> tree fall.<br />

A threshold-based approach is not necessarily the best one for lightning risk, as an<br />

electrical storm forecast does not necessarily mean a bolt of lightning will strike the<br />

railway or cause damage. Once impacts of lightning strikes have been studied further,<br />

we can get a better underst<strong>and</strong>ing of whether a threshold based approach is relevant<br />

<strong>and</strong>, if so, what type of analysis is needed. An appropriate use of near-real time lightning<br />

9

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