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Study finds Tongan volcano caused 700‑metre seafloor drop in minutes

Reported by Manish Reddy (Senior Writer) · Google News - NZ Science ·

Study finds Tongan volcano caused 700‑metre seafloor drop in minutesRepresentative image · Pexels

An underwater volcano off Tonga caused the sea floor to plunge about 700 metres in just a few minutes, a new scientific study reports. The rapid collapse was detected by seismic and satellite measurements that showed a sudden shift in the ocean bottom. Researchers say the event was triggered by the volcano’s explosive eruption, which destabilized the overlying sediment layers. The study, published by an international team of geologists, highlights how such fast‑moving landslides can generate large tsunamis and disrupt marine ecosystems. The findings come months after the massive January eruption that sent shockwaves around the globe, but this latest work focuses on the hidden danger beneath the water. Experts warn that monitoring of volcanic islands needs to include deep‑water surveys to catch similar rapid movements. The report adds to growing evidence that volcanic activity in the Pacific can reshape the seafloor in seconds.

ExplainerWhy this matters

What Happened

A volcano near Tonga erupted and its force caused the ocean floor underneath to drop roughly 700 metres in a matter of minutes, according to a recent scientific study.

Why It Matters

When the sea floor moves that quickly it can push a huge amount of water, creating tsunamis that may hit nearby coasts. The sudden loss of sediment also harms marine life that lives on the bottom and can damage submarine cables or pipelines. Because the event happened underwater, it is harder to see, so the risk is often missed until after damage occurs.

What Happens Next

Scientists say more frequent underwater surveys are needed around active volcanoes to spot similar shifts early. Governments may update warning systems to include rapid seafloor movement data. Ongoing research will aim to understand how often such collapses happen and improve models that predict their impact on coastal communities.

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