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...

Social vulnerability indices have emerged over the past decade as quantitative measures of the social dimensions of natural hazards vulnerability. But how reliable are the index rankings? Validation of indices with external reference data has posed a persistent challenge in large part because...

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...

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,...

The Urban Seismic Risk index (USRi) published in a previous article (Carreño et al., Nat Hazards 40:137–172, <CitationRef CitationID="CR8">2007</CitationRef>) is a composite indicator that measures risk from an integrated perspective and guides decision-making for identifying the main interdisciplinary factors of vulnerability to be...</citationref>