The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

Risk communication seeks to develop a shared understanding of disaster among
stakeholders, thereby amplifying public awareness and empowering them to respond more …

Risk assessment and adaptation have become key focuses in the examination of urban
flooding risk. In recent decades, global climate change has resulted in a high incidence of …

Due to the influence of climate warming, the degradation of permafrost on the Qinghai-Tibet
Plateau (QTP) has become evident. The formation of thermokarst hazards induced by the …

Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …

Many current urban waterlogging emergency scenario constructions overlook the factors
that influence users' concerns, rendering the resulting scenarios less adaptable to various …

Flood susceptibility prediction is complex due to the multifaceted interactions among
hydrological, meteorological, and urbanisation factors, further exacerbated by climate …

This study addresses the challenges of flash flood susceptibility mapping in Yemen's
Qaa'Jahran Basin, characterized by complex terrain and limited hydro-meteorological data …

Satellite global digital elevation models (GDEMs) suffer from positive biases in urban areas
due to building artifacts. While various machine learning (ML)-based methods have been …

In current urban flood modeling, challenges arise from the inadequate consideration of
heterogeneous underlying urban surface characteristics and the complexity of parameter …