University of Canterbury's Volcanic Ashfall Crowdsourced Data Framework Cuts Through Post-Eruption Noise

Innovation in Volcanic Hazard Research: A New Framework Emerges from University of Canterbury

In the shadow of New Zealand's active volcanoes, researchers at the University of Canterbury (UC) are pioneering ways to harness the power of crowdsourced data for faster, more accurate damage assessments following ashfall events. The Volcanic Ashfall Crowdsourced Data Framework, developed by MSc student Niamh Barrington Stratton, addresses a critical challenge: sifting reliable information from the 'noise' of social media posts, photos, and reports that flood in during crises.

This framework marks a significant advancement in natural hazards research, particularly relevant for a volcanically active nation like New Zealand, home to sites such as Whakaari/White Island and Ruapehu. By evaluating the reliability of user-generated data on building damage, it enables emergency responders to make informed decisions swiftly, potentially saving lives and reducing economic losses.

Stratton's work, funded by the Natural Hazards Commission Toka Tū Ake (NHC), builds on UC's strong tradition in geohazards, where scientists blend fieldwork, modeling, and community insights to bolster resilience.

New Zealand's Volcanic Landscape and Ashfall Risks

New Zealand sits on the Pacific Ring of Fire, with 12 active volcanoes posing risks of ashfall that can blanket communities far from the eruption site. Volcanic ash—fine fragments of rock and glass—irritates eyes and lungs, contaminates water supplies, disrupts air and road travel, overloads roofs, and corrodes machinery like heat pumps.

Historical events, such as the 2019 Whakaari eruption, highlighted how ashfall affects tens of thousands of structures. Traditional models rely on overseas data, leading to uncertainties. Crowdsourcing offers real-time local insights but introduces variability—conflicting reports, blurry photos, or unverified claims create 'noise' that hampers assessments.

UC's Geohazards and Tectonics group has long tackled these issues, from ash impacts on infrastructure to eruption forecasting.

The Challenge of Crowdsourced Data in Disaster Response

Post-eruption, platforms like Twitter, Facebook, and apps explode with user reports: photos of damaged roofs, videos of clogged drains, and eyewitness accounts. While valuable, this deluge includes low-quality images, subjective descriptions, and duplicates, complicating rapid analysis.

Existing vulnerability models predict damage based on ash thickness and building type but struggle with local variations. Stratton's framework bridges this by systematically rating data trustworthiness, allowing integration of diverse sources—expert surveys, satellites, drones, media, and social posts—into cohesive estimates.

Meet Niamh Barrington Stratton: Driving Change at UC

Niamh Barrington Stratton, a Master of Science candidate in UC's School of Earth and Environment, spearheaded this innovation through her thesis. Recipient of the Rocket Lab Scholarship and S.J. Hastie Scholarship from the Geoscience Society of New Zealand, she merged creative problem-solving with rigorous science.

'My project has developed a new impact data reliability assessment framework,' Stratton notes. 'It evaluates impact data based on key attributes controlling reliability.' Her passion for natural hazards stems from their real-world urgency, and she emphasizes community contributions: 'Affected communities provide vital local knowledge.'

How the Framework Works: A Step-by-Step Breakdown

The Volcanic Ashfall Crowdsourced Data Framework operates systematically to classify data reliability for individual buildings. Here's the process:

• Attribute Assessment: Examine data quality—detail in descriptions (e.g., ash thickness, damage type), photo clarity and focus (sharp images of specific structures), and nature (quantitative like '10cm ash caused roof sag' vs. qualitative 'looks bad').
• Reliability Rating: Score based on these controls, flagging high-confidence observations (clear photo + measurement) versus low (vague post).
• Integration: Feed rated data into vulnerability models, dynamically calibrating predictions to local conditions.
• Validation: Cross-check with expert inputs, satellites, or drones to resolve conflicts.

This transparent method ensures only robust data informs decisions, reducing model uncertainty.

Photo by Athithan Vignakaran on Unsplash

Key Benefits for Emergency Management and Insurers

For New Zealand's Civil Defence and insurers, the framework accelerates response. Rapid, reliable damage maps guide evacuations, aid allocation, and claims processing. By grounding models in local 'truthing,' it minimizes over- or under-estimates, crucial when ash affects agriculture, aviation, and power grids.

Stratton highlights: 'It bridges scientists and decision-makers.' In a Whakaari-like scenario, it could prioritize at-risk buildings, preventing collapses from wet ash accumulation.Learn more on NHC site

Broader impacts include policy: enhanced resilience planning via pre-emptive modeling.

Integration with Advanced Modeling and UC's Broader Contributions

This framework complements UC's AI eruption forecasting tool, led by Dr. Alberto Ardid and Prof. Ben Kennedy, which analyzes seismic data from 41 global eruptions for early warnings.

GNS Science's ash damage model also incorporates crowdsourcing. Together, they form a toolkit: predict eruptions, forecast ashfall, assess impacts accurately. UC's repository hosts related studies on tephra vulnerability.Explore UC Geohazards

Implications for New Zealand's Higher Education and Research Landscape

UC exemplifies NZ universities' role in hazard science, training experts like Stratton. Programs in Earth Sciences equip students with GIS, modeling, and fieldwork skills. Amid rising climate-volcano interactions, such research attracts funding from NHC, MBIE.

For aspiring researchers, UC offers scholarships and interdisciplinary opportunities. Explore university jobs in NZ or higher ed research positions to contribute.

Stakeholder Perspectives and Real-World Applications

Dr. Josh Hayes notes the project's alignment with Earth Sciences NZ goals. Communities value local input, fostering trust. Case studies from Tonga 2022 Hunga eruption tested similar approaches.

• Emergency managers: Faster triage.
• Insurers: Precise claims.
• Communities: Empowered reporting.

Challenges remain: digital divides, misinformation. Solutions include training and apps.

Future Outlook: Scaling the Framework Globally

As volcanoes threaten 800 million people worldwide, Stratton's tool has export potential, adaptable to lahars or floods. UC plans validation trials, open-sourcing for global use. With AI integration, real-time assessments could become standard.

NZ's proactive stance positions universities as leaders. Check career advice for researchers.

Photo by Athithan Vignakaran on Unsplash

Careers in Volcanic Hazard Research at NZ Universities

Thriving field: PhDs, postdocs in geohazards. UC hires lecturers, research assistants. Skills: data analysis, remote sensing. Platforms like AcademicJobs university jobs list openings. Rate professors via Rate My Professor.

Stratton's advice: 'Merge creativity with science.' Ideal for research assistant jobs.