Integrating powerful machine learning models with flood risk assessment and determining
the potential mechanism between risk and the driving factors are crucial for improving flood …

Modelling flood susceptibility is an indirect way to reduce the loss from flood disaster. Now,
flood susceptibility modelling based on data driven model is state-of-the-art method such as …

Waterlogging events in urban areas are becoming increasingly more frequent, which has
led to tremendous economic losses. Urban road networks have also suffered heavy …

Climate change and urbanization will further exacerbate tropical cyclones (TCs) causing
severer flooding especially in coastal urbanized areas. In this study, the compound effects of …

Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …

Rapid urbanization, increased population and exacerbated water consumption, have been
the huge challenges for the sustainable socio-economic development. Investigating the …

Due to the increasingly frequent occurrence of urban waterlogging, the spatial optimization
of low impact development (LID) practices has been commonly used to detain and reduce …

Increasing extreme precipitation caused by climate change and human activities may have
severe consequences on people's lives and property. In this study, the effect difference of …

Abstract Water Environment Carrying Capacity (WECC) is a complex system affected by
society, economy, population and other factors. In this study,“Driving force-Pressure–State …

River health assessment (RHA) is a robust methodology for ascertaining the health of
riverine ecosystems, and offering solutions for river conservation and management …