The fallout of large clasts (> 5 cm) from the margins of eruptive plumes can damage local infrastructure and severely injure people close to the volcano. Even though this potential hazard has been observed at many volcanoes, it has often been overlooked. We present the first hazard and risk assessment of large-clast fallout from eruptive plumes and use Mt Etna (Italy) as a case study. The use of dedicated shelters in the case of an explosive event that occurs with no warning is also evaluated.

Typhoon Hato was one of the most damaging natural disaster events in the western Pacific region in 2017. It caused the the worst flooding in Macau since its instrumental records began in 1925. We present a high-resolution survey map recording inundation depths and distances at 278 sites in Macau. We provide a series of inundation maps under different tidal and sea levels. The maps that highlight adaptive strategies are essential in order to keep up with the pace of rising sea level.

In this study we provide an estimation of flood damages and risks to rice cultivation in the Mekong Delta. The derived modelling concept explicitly takes plant phenomenology and timing of floods in a probabilistic modelling framework into account. This results in spatially explicit flood risk maps to rice cultivation, quantified as expected annual damage. Furthermore, the changes in flood risk of two land-use scenarios were estimated and discussed.

In this study, engineers and social scientists explore opportunities for improving the utility of flood hazard maps through focus groups with end users. Focus groups revealed that end users preferred legends that describe flood intensity both quantitatively and with qualitative reference points, as well as flood scenario descriptions that describe the magnitude (rather than frequency) of the flood. Illustrations of pluvial flooding, or flooding caused directly by rainfall, were highly desired.

We developed fragility functions of aquaculture rafts and eelgrass based on damage data and numerical simulation of the 2011 Great East Japan tsunami. These fragility functions explain damage characteristics of both items against tsunami flow velocity. By understanding these characteristics, damage estimation and loss assessment as well as marine/fishery disaster mitigation plan and management in other areas of the world from future tsunamis can be implemented.

The vast majority of shallow landslides and debris flows are precipitation initiated and predicted using historical landslides plotted versus observed precipitation information. However, this approach has severe limitations. This is partly due to the fact that it is not precipitation that initiates a landslide or debris flow but rather the hydrological dynamics in the soil and slope. We propose to include hydrological information in the regional hydro-meteorological hazard assessment.

This paper provides a full range of possible future sea levels on a regional scale, since it includes extreme, but possible, contributions to sea level change from dynamical mass loss from the Greenland and Antarctica ice sheets. In contrast to the symmetric distribution used in the IPCC report, it is found that an asymmetric distribution toward high sea level change values locally can increase the mean sea level by 1.8 m this century.

It is well known that volcanoes and earthquakes are associated, and some active volcanoes cause damaging earthquakes. Nonetheless, volcanoes usually are not pinpointed on a hazard map, as the effects of shallow, volcanic earthquakes can be overshadowed by stronger tectonic earthquakes in the region, particularly when long exposure periods are considered. In this study we faced some challenges with software implementations and original concept scheme for an original PSHA at Mt. Etna, Italy.

The predictability of 25 historical winter storms over Europe is revisited by taking advantage of a homogeneous dataset of retrospective forecasts for the 1995–2015 period. The forecasts well predict the storms up to 2–4 days ahead only but also show clear potential for the early warning of storms up to 10 days ahead. However, the predictability of individual storms exhibits large variability and physical characteristics are identified for outliers with a poor predictability.