Using Past to Predict Future: Case of Typhoon Hagibis

Fatigue factor for interstate firefighters” by Megan Neil Image: Fatigue was a factor in managing firefighters on interstate deployments in the last bushfire season. Full story:


Empower locals to deal with natural disasters: Scientists

Experts of GB Pant National Institute for Himalayan Environment, Government of India, said to reduce the drastic impact of natural disasters in the Himalayan region, there was a need to empower local communities to deal with these effectively.

After a thorough study on the Himalayan region regarding natural disasters, the institute authorities have suggested to the Centre to frame a new policy for disaster management in which local communities will be included fully. It is a partnership product of Indian, Canadian and UK universities, jointly led by India’s GB National Institute of Himalayan Environment and Bath Spa University in the UK, that researched collectively on how to reduce the risk of disaster to communities in the Himalayan region.

JC Kuniyal, a scientist of the GB Pant National Institute of Himalayan Environment, said, “During a natural disaster, whether it is an earthquake, a cloudburst, flash flood or fire, residents remain dependent on government machinery for their rescue. During such situations, communication services get snapped and sometimes roads get cut off, which takes a long time for the government machinery to get access of the area to overcome the situation.”…


Using Past to Predict Future: Case of Typhoon Hagibis

The past is often the window to our future, especially when it comes to natural disasters. Using data from the 2018 floods that struck southwestern Japan to calibrate a machine learning model, researchers from the International Research Institute of Disaster Science (IRIDeS) at Tohoku University and the Japan-Peru Center for Earthquake Engineering Research and Disaster Mitigation (CISMID, in Spanish), have successfully identified the flooding caused by Typhoon Hagibis.

Typhoon Hagibis devastated Japan in October 2019, killing 91 people, damaging 85,000 homes, and causing approximately $15 billion in damage. Flooding across the affected regions was profound.

In natural disaster rescue and recovery efforts, real-time flood mapping is crucial. It allows governments to direct relief to the areas that need it most. To aid this effort, satellite images using artificial intelligence (AI) are often employed…


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