To assess the impacts of the eastern route of the South-to-North Water Diversion Project (ER-SNWDP) of China on water-receiving area’s floods and waterlogging, a coupled 1D/2D hydrodynamic model is built, taking Nansi Lake Basin as an example. Some impacts especially for emergency operations were analyzed, and selected implications are presented for the integrated management of large scale interbasin water diversions.

We investigated the spatiotemporal characteristics of the landslide and debris flow hazards in Shaanxi Province and quantified the relationships between the occurrence rates of the two hazards and their influencing factors, including antecedent rainfall amount, rainfall duration, rainfall intensity, terrain slope, land cover type and soil type. Rainfall amount, duration, and intensity, and slope are the dominant factors controlling slope stability across this region.

This article is expected to be of great interest to the broad geoscience community. The work builds on current regional climate modelling, numerical weather prediction, and hydrological modelling applications in the Arabian Peninsula – a hyper-arid environment with a vulnerable infrastructure to frequent extreme weather and flood events.

The study reports on the impact of the assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system on predicting heavy precipitation events in the Mediterranean area. The positive impact of the assimilation of such data is particularly evidenced for a heavy precipitation event and results are slightly encouraging over a 45-day cycled period. Besides, the impact of the length of the assimilation window in a 3DVar assimilation system is investigated.

This work evaluates the effects of the terrestrial warming in the Inner Delta of Niger (Mali) by the analysis of the Land Surface Temperature (LST) transition and the Spatial Transformation process (STP). Results show an important increase of the temperature while determining an extension of moderately warm areas at the same time a decrease of the warmest areas until to determine volcanic hazards areas (Faguibine Lake). Thus, this work provides a useful contribution to the terrestrial warming.

A longstanding problem in avalanche science is to understand why slow moving avalanches exert large pressures on buildings. To understand this phenomenon we propose that avalanche interaction with a rigid structure must be divided into two separate regimes: a flow regime and a pile-up regime. In the flow regime, snow does not accumulate behind the obstacle. We show why the accumulation of avalanche snow behind a structure can lead to immense forces that must be considered in mitigation.

Wenjia gully is a typical gully-type debris flow, which has a large-scale catchment and great hazard risk to the local people. Based on the monitoring data for almost six years until now, the characteristic of debris-flow triggering parameters (pore pressure and rainfall) have been analyzed, especially the relationship to debris flow occurrences or not. Then, a combined threshold has been presented and tested in order to provide a method for safeguarding the population in the region.

The present study describes an approach for the assessment of beach accretion/erosion, based on the joint use of data analysis, statistical methods and one-line numerical modeling. A chain method is proposed, based on the joint analysis of field data, statistical tools and numerical modeling. The coastline morphology has been examined through interannual field data, such as aerial photographs, plane-bathymetric surveys, seabed characterization.

First applications of ANYCaRE Experiment revealed that multi-model impact-based outputs help forecasters and civil protection to shape a holistic view of the situation and enhance their confidence on specific emergency activities to be decided and communicated. This interdisciplinary work is conducted in the frame of ANYWHERE European project that aims to provide institutions across Europe with a decision-support tool to better anticipate and respond to extreme weather and climate events.

This paper focused on the indirect economic losses caused by the Wenchuan earthquake in 2008, evaluated the progress of restoration and reconstruction based on night-time light Images. Results show that the GDP has a quadratic function relationship with the total night-time lights under normal conditions, and the economy of the disaster area after the earthquake showed unstable and turbulent development. This research can provide basis for macro-control of earthquake recovery and reconstruction.

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 highlight adaptive strategies are certainly required in order to keep up with the pace of rising sea level.

In the framework of the NATO Science for Peace and Security Program, we increased the knowledge about the geohazards affecting the Enguri hydroelectrical plant (SW Caucasus, Georgia). At 2 km from the dam, active deformation (2–5 cm/y) affects a slope facing the water reservoir. Our field, seismological and numerical analyses show that the worst scenario is represented by seismic shaking with a local Peak Ground Acceleration capable of generating an unstable rock volume of up to 48 ± 12 * 10⁶ m³.

The article presents the Alsatian regional flood risk observatory ORRION, a participative online platform where information is shared between individuals, stakeholders, engineers, and scientists. This maximizing knowledge capitalization and contributes to building a common knowledge base for flood risk. From this information, long chronicles of floods are derived for the Rhine and most of its main Alsatian tributaries, and their main characteristics are identified and analysed.

There is a long history for research of earthquake prediction, but weakness of traditional approaches to study seismic hazard have been more and more evident. Remote sensing and earth observation technology, which is a new method that can instantly acquire a large area of abnormal information caused by earthquakes. In this paper, a popular method is been tested in Sichuan. But the results show that it didn't perform well in earthquake prediction of this area. The causes have also been studied.

Community resilience is an important policy and research concept. However, lack of an operational measurement framework exists due to difficulties in systematically integrating socio-economic and techno-ecological factors. A conceptual and mathematical model was developed and a fuzzy logic equivalent of the model implemented to generate a resilience index for three communities in the US. This model offers a viable approach for measuring community flood resilience despite data limitations.

This paper aims to map flood geohazard areas under the influence of the Uruguay River, Itaqui city (Southern Brazil), using calibration Digital Elevation Model (DEM), historic river level data and Geoprocessing techniques. The assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land use planning in areas exposed to flood geohazard.

Our mathematical framework aiding rescuing process of a crisis field via spatial crowdsourcing services. Framework is able to simulate different crisis field object behaviors and our crowdsourcing services in space and gives the ability to track objects’ movement in all dimension of space, forming influence-ability constrains and documenting main environment objects and interactions as well as managing crowdsourcing services and simplifying programming process and let to crisis field simulation.

In 1958, at Lituya Bay in Alaska, the largest tsunami wave ever recorded took place. Since then, its numerical simulation has been a challenge and no numerical model had been able to reproduce, in the real geometry of the bay, the more than 200 m wave and the extreme runup (climbing of the water up on land) of 524 m. The aim of our research, in the framework of a collaboration between the University of Malaga (Spain) and NOAA (US), was to fulfil this gap. At the same time as verifying our model.

Internal waves in the oceans arise from density stratification and play critical roles in transport and mixing. Rogue waves are unexpectedly large displacements from a tranquil sea surface, and pose immense danger to ships and offshore structures. A theoretical model is developed to predict the onset of abnormally large waves deep in the oceans for constant buoyancy frequency. Unlike surface waves, rogue internal waves can occur for fluid depths small compared with the wavelengths.

Floods affect many communities and cause large damage worldwide. Since we choose to live in natural flood plains and are unable to prevent all floods, a system of insurance and re-insurance was set up. For these institutes to not fail, estimates are required of the frequency of large-scale flood events. We explore a new method to obtain a large catalogue of synthetic, spatially-coherent, large-scale river discharge events, using a recent (gridded) European discharge data set.

Landslides risk is high in La Paz, Bolivia, due to topography, geology, and urban growth. We quantify creep before and after the city’s largest modern landslide using spaceborne InSAR. Creep of ancient landslide deposits forming the slope increased in rate and extent following failure, calling into question the common assumption that slopes stabilize after failure. Landslide risk in La Paz, which is underlain by many large ancient failures, may be even greater than previously thought.

Turkey is known as a country with many summer holiday activities due to the seas that surround three sides of the country and its historic places. However, avalanches constitue risky situations in especially eastearn part of Turkey. The objective of this study is to analyze the current situation in Turkey in terms of avalanche hazards, avalanche mitigation works, and authorities. The present work partly contains some results presented in the doctoral dissertation completed by my on self.

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 phenology 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 to caused by changes in land-use were estimated, and discussed.

We used a revealed preference approach and identified patterns in risk management decisions of mechanized skiing operations. Our results show that terrain choices of experienced guides depend on a much broader set of factors beyond just the avalanche hazard including skiing experience or accessibility due to weather. The identified high-resolution terrain hierarchies provide new opportunities for examining professional avalanche risk management practices and developing meaningful decision aids.

This study proposed a new method to estimate earthquake fatalities and quantify the uncertainty based on the basic earthquake emergency scenarios. The basic earthquake emergency scenarios are constructed by the main factors, which affecting the earthquake fatalities. We verified the accuracy of the model with the earthquake that occurred during recent year, and compared the accuracy with other two models.

Nowadays, when extreme weather affects an urban area, huge amounts of digital data are spontaneously produced by the population on the Web. These digital trails can provide an insight on the interactions between climate related risks and the social perception of these risks. The experiments presented in this paper show that big data exploration techniques can bring out the most central issues and actors in the debate and explore how it affects urban resilience.

This research work of this paper comes to complete my activity in the Military Emergency Unit of Spain, to respond to the problem of slope instabilities and how to predict them in the case of heavy rains. This work comes to complete the work of stabilization and stresses made by torrential rains in the South of Spain. The results have been satisfactory.

In this work, two of the main strategies to reduce tsunami risk on the coast of Oman are addressed. The tsunami hazard assessment (calculation of the potentially flooded area) and the elaboration of a database of tsunami events that is a fundamental part of the Oman Tsunami Warning System. The study included the characterization of the tsunamigenic sources affecting the study area and the numerical simulation of their generation, propagation and inundation.

Debris flow, a very dangerous natural disaster. There is no effective method to assessment the lager-scale debris flow. We applied the extenics method towards a large-scale debris flow risk assessment for the first time, built the classical matter elements and joint domain matter elements for assessment of the debris flow risks. The results show that model has a high coincidence with the number of historical debris flow，suggesting high accuracy of extenics method in large-scale assessment areas.