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1931 China Flood vs. 1737 Hooghly River Cyclone -...
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1931 China Flood vs 1737 Hooghly River Cyclone

1931 China Flood
1737 Hooghly River Cyclone
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1931 China Flood

Total costsN/A
Deaths 4000000

Informations

The 1931 China floods, or the 1931 Yangtze–Huai River floods, occurred from June to August 1931 in China, hitting major cities such as Wuhan, Nanjing and beyond, which eventually culminated into a dike breach along Lake Gaoyou on 25 August 1931. Fatality estimates vary widely. A field survey by the University of Nanking led by John Lossing Buck immediately after the flood found '150,000 people had drowned, and that this number represented less than a quarter of all fatalities during the first 100 days of the flood.' The official report found 140,000 drowned and claims that '2 million people died during the flood, having drowned or died from lack of food'. A cholera epidemic in the subsequent year, from May 1932, was officially reported to have 31,974 deaths and 100,666 cases. A popular high-end estimate of 3.7 to 4.0 million fatalities 'enjoys great currency online, helping the 1931 flood to secure its position on sensationalist lists of the world’s deadliest disasters.'

Source: Wikipedia
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1737 Hooghly River Cyclone

Total costsN/A
Deaths 300000

Informations

The 1737 Calcutta cyclone, also known as the Hooghly River cyclone of 1737 or the Great Bengal cyclone of 1737, was the first super cyclone on record in North Indian Ocean regarded one of the worst natural disaster in India . It hit the coast near Kolkata on the morning of 11 October 1737 and presumably killed over 300,000 people inland and sea, and caused widespread catastrophic damage. The cyclone hit land over the Ganges River Delta, just southwest of Calcutta. Most deaths resulted from storm the surge and happened on the sea: many ships sank in the Bay of Bengal and an unknown number of livestock and wild animals were killed from the effects of the cyclone. The damage was described as 'extensive' but numerical statistics are unknown.

Source: Wikipedia

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