Low-lying, densely populated coastal areas worldwide are under threat, requiring coastal managers to develop new strategies to cope with land subsidence, sea-level rise and the increasing risk of storm-surge-induced floods. Traditional engineering approaches optimizing for safety are often...

Low-lying, densely populated coastal areas worldwide are under threat, requiring coastal managers to develop new strategies to cope with land subsidence, sea-level rise and the increasing risk of storm-surge-induced floods. Traditional engineering approaches optimizing for safety are often...

The Scheldt is a tidal river that originates in France and flows through Belgium and the Netherlands. The tides create significant flood risks in both the Flemish region in Belgium and the Netherlands. Due to sea level rise and economic development, flood risks will increase during this century....

This study explored the feasibility and acceptability of harvested rainwater in rural communities of Bangladesh as well as densely populated City like Dhaka, using simple and low-cost technology. As a part of this study, a field survey was conducted in the water-scarce Dhaka City. Four slums...

A practical methodology has been developed for predicting flows generated by dam failures or malfunctions in a complex or a series of dams. A twofold approach is followed. First, the waves induced in the downstream reservoirs are computed, as well as hydrodynamic impacts induced on downstream...

Debris flow modelling has become an important tool for assessing the related hazard so as to undertake appropriate mitigation actions and reduce the associated risk. Volume values are key input data for landslides numerical modelling. This work analyses the influence of the uncertainties related...

Shallow landslides are a common type of rainfall-induced landslide, and various methods are currently used to predict their occurrence on a regional scale. Physically based models, such as the shallow landslide instability prediction (SLIP) model, have many advantages because these models can...

Ground motion intensity was presented as Modified Mercalli Intensity in gross domestic product (GDP)-based earthquake loss assessment method, and the variable uncertainties and the variation of GDP with time were neglected. In this study, the hazard-loss/GDP relation was determined based on peak...

Artificial neural networks (ANNs) show a significant ability to discover patterns in data that are too obscure to go through standard statistical methods. Data of natural phenomena usually exhibit significantly unpredictable non-linearity, but the robust behavior of a neural network makes it...

The “Costa Viola” mountain ridge (southern Calabria), in the sector between Bagnara Calabra and Scilla, is particularly exposed to geo-hydrological risk conditions. The study area has repeatedly been affected by slope instability events in the last decades, mainly related to debris slides,...