Science and Technology

A recent study provides an assessment of pluvial flood risks in the Metropolitan City of Venice through an innovative Machine Learning methodology that considers spatio-temporal variables.

Since the decision taken by UN to propose early warning for all in 2030, arose the question of how to cover multiples regions, multiples languages and multiple hydrometeorological as well as geophysical phenomenons.

Where does your water supply come from?

The Department of Disaster Management (DDM) is developing an enhanced emergency alerting app, which will be available to the public next year.

Deep learning could save lives by slashing the time needed to predict the height and reach of large tsunamis.

The people most rattled by the magnitude 6.4 earthquake early Tuesday said the alert didn't give them enough time to take cover as the temblor shook homes off foundations, knocked out power and water to thousands, and injured more than a dozen people.

NASA’s Earth Science Applied Sciences Disasters program area has partnered with the University of Hawaiʻi’s Pacific Disaster Center and other scientific institutions to release a significant breakthrough in flood prediction technology.

A new model of tectonic plates in New Zealand may identify areas of increased earthquake likelihood.

Getting notifications to people in the event of an earthquake is a key component of earthquake early warning systems. Apps like MyShake and companies like Google are leading the way.

Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.