Build Resilience. Beat landslides


Landslides are a major risk for poor communities and they’re difficult to predict. But innovative forecasting approaches are helping us to understand them better and protect lives and livelihoods.


Active Project

The Challenge

In India, landslides are a major hazard for vulnerable communities. People die, and their homes and businesses are damaged and destroyed.

Part of the problem is that it’s difficult to predict when and where a landslide will happen, how severe it will be, what path the debris will take, and what damage it’s likely to cause.

Adding to the complexity, landslides can cause – and be caused by – other hazards. Earthquakes can trigger landslides for example, and landslides can cause flooding when the debris blocks rivers. Because landslides weaken the ground, they can also make an area more likely to experience more landslides.

The Ingenious Solution

Heavy rainfall is one of the main triggers of landslides. Advances in forecasting science have led to significant improvements in the accuracy of rainfall predictions. This means that we can look at patterns of rainfall and compare them with historical records of landslide events. We’re working with world-leading scientific institutions to identity the weather and geographical conditions that are most likely to cause a landslide, so decision-makers can better understand the risk in different areas.

To read more about this project, visit the SHEAR website.

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Thank you for your invaluable support at this challenging time. In a world facing the terrible coronavirus threat, improving hygiene and access to clean water and sanitation services in poor communities has never been more vital.

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Please select how much you'd like to give, as a monthly or single gift. Your support will enable us to continue and expand our work around the world, helping people to use ingenuity to tackle the world’s toughest problems.


Please select how much you'd like to give, as a monthly or single gift. Your support will fund our work in poor communities all around the world.