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This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

Rainfall prediction efforts had been prevalent ever since the impact of climate change on occurrences of natural disasters globally. Implementation of machine and deep learning techniques on features that contribute to r...

In the Croniche di Lucca, which covers the period of Lucca’s history from 1168 to 1424, we read about many natural disasters. We can read in detail about the lean years of 1181, 1284, 1330, 1348–1350, and 1400, and t...

Today, climate change has become a global crisis threatening not only the environment but also economic, social, and political systems worldwide. This situation necessitates the systematic analysis of both the drivers co...

ABSTRACT Background: Climate change and widespread environmental degradation have increased the risk of natural hazards in recent decades. Hydrological, meteorological, and climatological disasters have become more frequ...

ABSTRAK Indonesia merupakan negara yang tidak memiliki satu pun wilayah dengan indeks risiko bencana alam yang rendah. Namun demikian, kebijakan pengurangan risiko bencana (PRB) di Indonesia masih menghadapi tantangan...