Unruly Waters: How Rains, Rivers, Coasts, and Seas Have Shaped Asia's History
Sunil Amrith
From a MacArthur "Genius," a bold new perspective on the history of Asia, highlighting the long quest to tame its waters Asia's history has been shaped by her waters. In Unruly Waters, historian Sunil Amrith reimagines Asia's history through the stories of its rains, rivers, coasts, and seas--and of the weather-watchers and engineers, mapmakers and farmers who have sought to control them. Looking out from India, he shows how dreams and fears of water shaped visions of political independence and economic development, provoked efforts to reshape nature through dams and pumps, and unleashed powerful tensions within and between nations. Today, Asian nations are racing to construct hundreds of dams in the Himalayas, with dire environmental impacts; hundreds of millions crowd into coastal cities threatened by cyclones and storm surges. In an age of climate change, Unruly Waters is essential reading for anyone seeking to understand Asia's past and its future.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| Cundill History PrizeMajor | 2019 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
- India80%
Show lower-confidence suggestions
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- the Himalayas55%
- coastal cities36%
03 Suggested argument
Asia’s political independence, economic development, and cross- and intra-national tensions have been shaped by efforts to control rains, rivers, coasts, and seas through engineers and water management projects.
Model confidence 62%
04 Reading orientation
45 / 100 academicTrade / academic crossover
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 74%.