Nature-based solutions (NBS) for hydro-meteorological risks (HMRs) reduction and
management are becoming increasingly popular, but challenges such as the lack of well …

China suffers the most serious loss of life and property with the most floods in the world. In
this study, a multi-criteria analysis model with the combined analytic hierarchy process and …

Despite indicators-based assessment models for flood vulnerability being a well-established
methodology, a specific set of indicators that are universally or widely accepted has not …

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 …

Climate change has resulted in the increased frequency of extreme storms and associated
flood risk uncertainties in urban areas, which brings more challenges to future urban flood …

To solve the problem that the traditional fuzzy Analytic Hierarchy Process (FAHP) cannot
reflect the influence of prominent risk indexes on the evaluation results, a new risk …

Risk assessment is an effective means to alleviate urban flood disasters and has attracted
the attention of many studies. However, most previous studies about urban flood risk …

Flood risk assessment and map** is required for management and mitigation of flood in
mountain cities. However, the specific characteristics of population, society, economy …

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 are frequently occurring events in the Assam region due to the presence of the
Brahmaputra River and the heavy monsoon period. An efficient and reliable methodology is …