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    "headline": "Magnitude 5.6 Earthquake Hits New Zealand's South Island",
    "dek": "A magnitude 5.6 earthquake woke over 6,000 people in New Zealand's South Island on September 2.",
    "prose": "A magnitude 5.6 earthquake struck New Zealand's South Island on September 2, waking more than 6,000 people across various zones. [^1]\n\nA new study published in Nature Communications suggests that machine-learning techniques could detect subtle changes in continuous vibrations around volcanoes to identify signs of an impending eruption hours beforehand. [^2]\n\nChristchurch, Whakaari/White Island's sudden eruption in December 2019 killed 22 people and severely injured 25 others, marking New Zealand's deadliest volcanic disaster in recent history. [^3]\n\nGeoNet, the platform monitoring seismic activity in New Zealand, confirmed the details of the magnitude 5.6 tremor. [^4]\n\nInitial evaluations reported no injuries or material damage following the earthquake. [^5]\n\nThe earthquake occurred at 18:57 local time on September 2, originating at a depth of five kilometers approximately 35 kilometers northeast of Milford Sound. [^6]\n\nThe researchers used a cost-loss model to compare economic disruption caused by precautionary action with losses avoided when an eruption was successfully forecast, suggesting precautionary action could reduce preventable losses by 30-90%. [^7]\n\nThe study reanalyzed the performance of a machine-learning eruption forecaster at five volcanoes in New Zealand, Japan, Chile, and Russia using years of seismic data. [^8]\n\nWhen tested on data it had not seen during training, the forecaster anticipated four of five eruptions at Whakaari, with a trade-off of approximately 15 days each year when a warning would have been in place without an eruption occurring. [^9]\n\nIn 2014, Japan's Mt Ontake erupted with little warning, killing 63 people, many of whom had been hiking near the summit. [^10]",
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