00:00Nepal, one of the most landslide-pronged countries in the world, is embracing technology to reduce disaster risks.
00:10Every year, during the monsoon, floods and landslides wreak havoc across South Asia, killing hundreds of people.
00:18The main challenge for us is that we are a mountainous country and our mountains are young.
00:28We are also earth-weight prone. Earth-weights have fractured the rot inside, which adds to the risk.
00:44Nepal is especially vulnerable due to unstable geology, shifting rainfall patterns and poorly planned development.
00:52But now, a new AI-powered early warning system is changing that.
00:57In high-risk villages like Kim Tang, local residents, including school teacher Beena Taimang, plays a vital role.
01:05She sends us in the photographs, so we digitize, we maintain in actual or other tools.
01:13Then we analyze how is the maximum rate for over the week, or in the past also.
01:19And then, once we have the long dataset, maybe one year or two year, and then we'll set the threshold.
01:25Okay, this is the threshold. This much rain may trigger the landslide in Kim Tang.
01:31The AI component automatically prepares the graphical view.
01:37Okay, we are crossing the threshold.
01:39Right? And then it alerts us.
01:41Each day, they collect simple data like rainfall levels and send it to experts in Kathmandu.
01:49This local input feeds into a broader system developed by researchers from Nepal, Australia, Britain and Italy.
01:59Combining satellite imagery, ground data and climate forecast, the AI analyzes patterns and predicts landslide risk days, or even weeks in advance.
02:13Over time, the weather forecasting system has become more advanced and accurate, allowing us to provide better early warnings about floods.
02:25But this alone is not enough to predict landslides.
02:28Unlike floods, landslides require mapping of landslide-prone areas, so we can identify whether there are human settlements.
02:38If we could integrate that with weather forecasts, we could move towards landslide prediction.
02:50The goal is to generate timely alerts so communities can act before disaster strikes.
02:57In the last decade, Nepal has made progress on flood preparedness, installing 200 sirens along major rivers,
03:06and actively involving communities in warning efforts.
03:10But predicting landslides has always been a greater challenge due to complex terrain and limited data.
03:18Now, with community involvement and science working together, this low-cost, high-impact solution could help save lives and offer a model for other climate vulnerable regions.
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03:49emergency risk.
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