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Seismic Landslide Susceptibility Map of M7.9 Myanmar Earthguake

10.04.2025

On March 28, 2025, a significant Mw7.9 earthquake struck near Mandalay in central Myanmar, posing risks of coseismic landslides in the affected areas. We evaluated landslide susceptibility by integrating multi-source geological, topographic, and hydrological data with the Newmark permanent displacement model. The model quantifies slope displacement through the integral of the difference between...

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Multiple-Satellite Images Supported Road Blockage Assessment for March 21, 2024 Naran Avalanche, Pakistan

08.04.2025

The avalanche incident occurred in Naran, northern Pakistan on March 21, 2024, which submerged houses and hotels, served as a trigger for further in-depth analysis of avalanche risks in the downstream towns and villages. Through comprehensive multi-case studies, it was found that the phenomenon of snow melting into water before heavy precipitation warrants particular vigilance, as it greatly in...

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April 2025 Precipitation and Flood Risk Assessment in the Affected Region of the Myanmar Earthquake(缅甸地震影响区域2025年4月降水及洪灾风险评估)

31.03.2025

The Mw 7.9 earthquake that struck Myanmar's Sagaing Region on March 28, 2025, caused severe structural damage and increased the potential for secondary hazards, particularly flooding. Ground deformation, soil liquefaction, and disrupted drainage systems may exacerbate the risk of post-earthquake flooding, posing significant threats to affected communities and complicating emergency response efforts. Given the potential interplay between seismic and flood hazards, timely flood risk monitoring is crucial to mitigate further casualties and damage.

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Integrated Multi-Source Data Assessment and Risk Warning of Coseismic Landslides Triggered by the 2025 Myanmar Mw 7.9 Earthquake(2025年缅甸7.9级地震触发同震滑坡的多源数据综合评估与风险预警)

31.03.2025

On March 28, 2025, a significant Mw 7.9 earthquake struck near Mandalay in central Myanmar, posing risks of coseismic landslides in the affected areas. We evaluated landslide susceptibility by integrating multi-source geological, topographic, and hydrological data with the Newmark permanent displacement model. Source: Disaster Risk Reduction Knowledge Service System

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