Generative design (GD) has gained widespread attention in the built environment domain,
revolutionising traditional methodologies in the field. It operates on a set of rules, utilising …

The emergence of generative adversarial networks (GANs) has ignited substantial interest in
the domain of synthesizing images from textual descriptions. This approach has …

Aiming to deliver improved precipitation simulations for hydrological impact assessment
studies, we develop a methodology for modelling and simulating high-dimensional spatial …

To tackle the difficulties and challenges posed by the nonlinear and nonstationary
characteristics of runoff sequences in hydrological prediction, this paper aims to provide a …

This study focuses on the impacts of climate change on hydrological processes in
watersheds and proposes an integrated approach combining a weather generator with a …

High-resolution flood probability maps are essential for addressing the limitations of existing
flood risk assessment approaches but are often limited by the availability of historical event …

Stochastic weather generators are efficient statistical models producing synthetic weather
series by replicating key statistical properties without the computational cost of physical …

Rainfall events play an essential role in ecosystems worldwide. While water in good quality
and quantity is vital for all life on earth, rainfall can also be the cause of adverse events such …