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Selwyn_Times: January 24, 2024

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<strong>Selwyn</strong> <strong>Times</strong> Wednesday <strong>January</strong> <strong>24</strong> 20<strong>24</strong><br />

10<br />

NEWS<br />

New wildfire research aims<br />

to protect communities<br />

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LAYBY WELCOME<br />

CANTERBURY University<br />

researchers are building<br />

models to give more accurate<br />

predictions of where large<br />

wildfires could spread as they<br />

burn.<br />

Associate<br />

Professor in<br />

atmospheric<br />

dynamics,<br />

Marwan<br />

Katurji, who<br />

was an expert<br />

witness for the<br />

Port Hills fire<br />

and is studying<br />

the Lake<br />

Marwan<br />

Katurji<br />

Ōhau fire incident, is creating<br />

detailed, localised modelling<br />

systems that provide accurate<br />

predictions of fire spread by<br />

incorporating weather changes<br />

driving fire behaviour.<br />

The research comes as New<br />

Zealand faces its worst fire<br />

season for years.<br />

Wildfire costs in New Zealand<br />

since 2017 have reached<br />

$82 million.<br />

“Previous studies assessing<br />

the future wildfire risk in<br />

Aotearoa New Zealand have<br />

found that climate change<br />

will increase fire risk in many<br />

regions, so being able to<br />

get ahead of fires and their<br />

FIRE MODELLING: Marwan Katurji, who was an expert<br />

witness for the Port Hills fire, is creating localised<br />

modelling systems to predict fire spread. PHOTO: RNZ<br />

movement will be crucial<br />

in protecting communities<br />

and the environment,” said<br />

Katurji.<br />

He said the models are considered<br />

high-fidelity and use<br />

atmospheric and spatial predictions,<br />

meaning “they can<br />

represent specific locations’<br />

real-time conditions, unlike<br />

other models which use data<br />

that is not tied to a specific<br />

location to give a broad prediction<br />

of the weather”.<br />

Current models don’t<br />

account for local variable<br />

weather conditions.<br />

“We often think, ‘Why did<br />

it not rain when the weather<br />

forecast said it would?’ Well,<br />

that’s because the models used<br />

to predict the forecast underestimate<br />

the processes causing<br />

rain at the very local scale, so<br />

the actual rain happening in<br />

Canterbury isn’t represented<br />

in those models.”<br />

Katurji hopes the models<br />

can be used in fighting wildfires<br />

and in fire engineering.<br />

“Ideally Fire and Emergency<br />

New Zealand will use this<br />

technology to predict or reanalyse<br />

real-time movement of<br />

the fire so they can get ahead<br />

of where it is going, but fire engineers<br />

could also use this to<br />

improve building practices to<br />

protect against fire by understanding<br />

how fire moves and<br />

how turbulent wind impacts<br />

fire behaviour.”<br />

For understanding extreme<br />

fire behaviour, the team has<br />

been running fire whir experiments<br />

in Twizel.<br />

Said Katurji: “During these<br />

world-first field-scale experiments<br />

we created vortices, or<br />

fire tornados. These are the<br />

most unpredictable and undocumented<br />

types of fire, so<br />

being able to recreate them in<br />

a controlled setting gives the<br />

models real-world insights.”<br />

The team also conducts<br />

field-scale fire experiments<br />

where particular homogenous<br />

fuels, like gorse, stubble wheat,<br />

and wild pine are ignited and<br />

weather and fire behaviour<br />

observed.<br />

Currently there is no<br />

theory for fire spread, but<br />

Katurji hopes the research<br />

will help inform and provide<br />

practitioners with insights on<br />

fire movement under different<br />

atmospheric conditions<br />

to better protect our<br />

environment from damaging<br />

wildfires.<br />

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