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Aerial Footage Shows Cars Swept by Flash Floods in Australia
Torrential rain caused 166mm of rainfall, destroying bridges and isolating communities along the Great Ocean Road, with vehicles swept into the sea, officials said.
- On January 15, 2026, an Emergency Warning covered towns along Victoria's Great Ocean Road as thunderstorms and torrential rain swept vehicles into the sea along the Surf Coast.
- The Bureau of Meteorology rain radar showed heavy falls over Victoria's Surf Coast, with the Mt Cowley gauge recording 166mm since 9am and 115mm in the hour to 11.15am.
- Footage and local reports show the Big4 holiday park and caravan parks inundated, and Peter and Bronwyn Jacobs said two concrete bridges and a chook house on their Separation Creek property were destroyed, leaving them isolated.
- The State Emergency Service urged residents of Wye River, Kennett River, Cumberland River, Lorne and surrounds to take shelter as SES crews assist people to higher ground and report no injuries.
- Southerly winds and rough seas are adding danger, with south-easterly winds and 3-metre waves creating treacherous coastal conditions while storms also developed in the Otways region and Gippsland.
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12 Articles
12 Articles
Cars swept out to sea in Australian floods
The Australian state of Victoria has been hit by flash flooding after a severe storm on Thursday. Cars and caravans were seen floating, and authorities have issued an emergency warning for towns along the Great Ocean Road, a popular tourist spot.
·Atlanta, United States
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Roof rescues, hundreds evacuated in Wye River, Lorne split in half by flash-flooding
Hundreds of holidaymakers have been stranded on the Great Ocean Road after flash-flooding hit the Wye River and Lorne areas on Thursday. The raging torrents sparked by huge downpours inundated riverside campgrounds, forcing panicked campers to run for their safety, and swept at least three cars out to sea.
·Sydney, Australia
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Coverage Details
Total News Sources12
Leaning Left4Leaning Right2Center3Last UpdatedBias Distribution45% Left
Bias Distribution
- 45% of the sources lean Left
45% Left
L 45%
C 33%
R 22%
Factuality
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