Machine learning model enhances resilience against liquefaction in earthquake-prone regions

As urban areas expand, the threat of natural disasters becomes a pressing concern for city planners and disaster management authorities. In earthquake-prone countries like Japan, one of the critical risks to infrastructure is liquefaction, a phenomenon where intense shaking causes loose, water-saturated soils to lose their strength and behave like a liquid. Liquefaction can cause buildings to sink into the soil, crack foundations, and collapse roads and utilities like water lines.

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