Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

In recent years, the conceptual detail of hydrological models has dramatically increased as a
result of improved computational techniques and the availability of spatially-distributed …

Climate change and urbanization are converging to challenge city drainage infrastructure
due to their adverse impacts on precipitation extremes and the environment of urban areas …

Purpose This paper aims to summarize the current state of research on risk, crisis and
disaster management in the generic field, and in tourism and hospitality. It identifies key …

The increasing number of affected people due to disasters, the complexity and
unpredictability of these phenomena and the different problems encountered in the planning …

Floods are one of the most devastating forces in nature. Several approaches for identifying
flood-prone locations have been developed to reduce the overall harmful impacts on …

Reliable and accurate flood forecasting is a complex and challenging problem that is
essential for the creation of disaster preparedness plans to protect life and reduce economic …

Effective communication of disaster risks is crucial to provoking appropriate responses from
citizens and emergency operators. With recent advancement in Artificial Intelligence (AI) …

Accurate storm surge forecasting is vital for saving lives and avoiding economic and
infrastructural damage. Failure to accurately predict storm surge can have catastrophic …

Water level dynamics in catchment-scale rivers is an important factor for surface water
studies. Manual measurement is highly accurate but inefficient. Using automatic water level …