The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …

For efficient disaster management, it is essential to identify and categorize natural disasters.
The classical approaches and current technological advancements for identifying …

Overlapping conditions of rapid urbanisation and climate change across developing
countries are threatening the capacity of cities to manage climate risks, especially in the …

Coastal regions, increasingly threatened by floods due to climate-change-driven extreme
weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In …

The hydrological benefits of sponge city construction have sparked a variety of academic
studies and discussions. However, the effectiveness of sponge city construction in mitigating …

Flood is India's most prevalent natural calamity, devastatingly affecting human lives,
infrastructure, and agriculture. Predicting floods can help to mitigate the potential damage …

Scientific and technological advances in numerical modelling have improved the quality of
climate predictions over recent decades, but predictive skill remains limited in many aspects …

Cambodia is located in one of the most severe flood-vulnerable zones in mainland
Southeast Asia. Flooding is the country's most recurrent and impactful hazard among other …

Compound flooding, where the combination or successive occurrence of two or more flood
drivers leads to an extreme impact, can greatly exacerbate the adverse consequences …

Flood modelling and forecasting can enhance our understanding of flood mechanisms and
facilitate effective management of flood risk. Conventional flood hazard and risk …