There is a high degree of dependency between different critical infrastructures, which can pass on disruptions between interconnected sectors. This empirical study presents a new qualitative methodology for exploring the complexities of interdependent systems in a real-world context. We identify many different relationships across a network that transform in type and number when exposed to hazards, which add capacities to some sectors. This improves understanding of infrastructure resilience.

The design of water awareness campaigns could benefit from knowledge on the specific characteristics of domestic water use. To contribute to these debates this paper investigates domestic water use in 450 households of 10 municipalities of drought prone Alicante (Spain). The survey suggests that awareness campaigns should revise on a regular basis their scope and their channels of diffusion. We propose policy-oriented recommendations on scope for action for further reductions.

A climatological oriented geographic information system is used to model hail storm occurrence during 1989--2013 in the Greater Metropolitan Thunderstorm Warning Area of New South Wales, Australia. There was an average of 14.3 events per year, but a significant decreasing trend of hail frequency in recent years has been identified. Spatial models have established three main hail distribution patterns: the Sydney metropolitan, coastal area and strong topographic effect.

In the past decades the importance of and reliance on all kinds of transport networks has grown extensively making them more vulnerable to any kind of hazard. The linear structure of road networks is especially sensitive to debris flows, a process frequently occurring in the mountainous area of Norway. The paper quantifies the functional risk associated with these processes. The results reveal that the costs related to route closures are strongly related to the information status of drivers.

This study focuses on identifying the geomorphological feature that controls the location of landslides. We propose generating eigenvalues from the axial orientation data that may tell ground characteristics. The preliminary landslide assessment using the proposed approach discriminates well the geomorphological feature between stable and unstable domains. Results are also useful in mapping the previous landslide inventory where the historical records of landslide incidents have vanished.

Many of the features that either block or channelize flooding are too narrow to represent in conventional hydrodynamic (water flow) models, which must work at wider grid scales. New methods have been developed for identifying important features and representing their effects on blocking or controlling flooding. These methods are automated so that a fine-resolution lidar digital terrain model can be easily processed to a coarser resolution while retaining narrow blocking features.

This manuscript defines a reliable methodology for shallow landslides triggering zones assessment at site-specific or local scales by using a well-established physically based model (TRIGRS-unsaturated) based on the calibration of the model at slope scale using soil hydrological behavior analyzed through a continuous field monitoring. Moreover, the paper analyzes the effects on triggering zones assessment of taking into account for different unit mapping of the slope soils of a studied area.

On 27 May 1937, a voluminous flood caused the death of at least 300 people in the mining region of Tlalpujahua, Michoacán, central Mexico. The flood was triggered by the breaching of the impoundment of the Los Cedros tailings. The flood reached maximum speeds of ~25 m/s and deposited 1.5 x 10^6 m3 of material. The FLO-2D hydraulic model reproduced the breached flow (0.5 sediment concentration) with a maximum flow discharge of 8000 m3/sec and a total outflow volume of 2.5 x 106 m3.