Latest Articles for Natural Disasters

A study presents a method to analyze fault zone shapes using recent earthquake data.

How convection and thermal effects influence plate interactions and supercontinent formation.

A model provides insights into how severe weather affects economic trends over time.

Enhanced methods for estimating cyclone wind speeds using satellite data.

A new method for faster earthquake data analysis and forecasting.

Assessing risks of tsunami events from underwater landslides in Indonesia.

Learn how extremiles help measure risk in finance and insurance.

Innovative use of social media and AI improves earthquake response strategies.

Introducing WeatherQA, a dataset for better predicting severe weather events.

Study of Cyclone Biparjoy's rainfall effects on India.

Examining how off-fault damage zones impact earthquake behavior and risk assessment.

A comprehensive study of disaster apps and user feedback for effective emergency management.

A new framework for assessing and mitigating wildfire risks in California.

Research reveals the impact of friction laws on material rupture behavior.

A new model connects single and multiple event types for better analysis.

Examining the behavior of materials that shift from solid to liquid states under stress.

Researchers develop a new approach to analyze complex quantum systems using unsupervised learning.

Research reveals how gouge influences fault behavior and earthquake occurrences.

Using AI to assess flash flood risks in the Rheraya watershed.

Exploring mental health impacts of the 2023 Kahramanmaraş earthquakes on all affected.

Utilizing CNNs for efficient landslide identification through satellite imagery.

An in-depth look at how wet snow changes and its environmental impact.

Researchers link geological models with simulations to enhance earthquake understanding.

Examining how slip pulses behave under different stress conditions during earthquakes.

Combining street-level and satellite imagery for better disaster response.

Researchers develop neural networks to improve earthquake size forecasts.

New model enhances real-time earthquake monitoring and alerts.

New machine learning techniques aim to improve flood forecasting accuracy.

This article reviews deep learning approaches to forecast storm surges for safety and planning.

Examining the emotional impacts of Hurricane Harvey on affected individuals and communities.

Soft materials exhibit surprising behavior when stress is removed, involving local stresses and shear bands.

A new method estimates extreme rainfall risks for Bangladesh amid climate change.

Examining how deep learning improves earthquake prediction accuracy.

An overview of how granular avalanches behave in different environments.

A new AI method improves how we assess extreme weather linked to climate change.

Creating a database to track severe weather events in the Philippines.

A new framework prioritizes fairness in electricity distribution during price spikes.

A system for identifying community needs during emergencies.

Using VR for better tornado warning communication can save lives.

Utilizing reduced-order modeling for faster earthquake ground motion predictions.