Casualties distribution in human and natural hazards

Catastrophic events, such as wars and terrorist attacks, big tornadoes and hurricanes, huge earthquakes, tsunamis, floods, and landslides, are always accompanied by a large number of casualties. The size distribution of these casualties have separately been shown to follow approximate power law (PL) distributions. In this paper, we analyze the number of victims of catastrophic phenomena, in particular, terrorism, and find double PL behavior. This means that the data set is better approximated by two PLs instead of one. We have plotted the two PL parameters corresponding to all terrorist events occurred in every year, from 1980 to 2010. We observe an interesting pattern in the chart, where the lines, that connect each pair of points defining the double PLs, are roughly aligned to each other.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Monitoring natural hazards

Few subjects have caught the attention of the entire world as much as those dealing with natural hazards. The first decade of this new millennium provides a litany of tragic examples of various hazards that turned into disasters affecting millions of individuals around the globe. The human losses (some 225,000 people) associated with the 2004 Indian Ocean earthquake and tsunami, the economic costs (approximately 200 billion USD) of the 2011 Tohoku Japan earthquake, tsunami and reactor event, and the collective social impacts of human tragedies experienced during Hurricane Katrina in 2005 all provide repetitive reminders that we humans are temporary guests occupying a very active and angry planet. Any examples may have been cited here to stress the point that natural events on Earth may, and often do, lead to disasters and catastrophes when humans place themselves into situations of high risk. Few subjects share the true interdisciplinary dependency that characterizes the field of natural hazards. From geology and geophysics to engineering and emergency response to social psychology and economics, the study of natural hazards draws input from an impressive suite of unique and previously independent specializations. Natural hazards provide a common platform to reduce disciplinary boundaries and facilitate a beneficial synergy in the provision of timely and useful information and action on this critical subject matter. As social norms change regarding the concept of acceptable risk and human migration leads to an explosion in the number of megacities, coastal over-crowding and unmanaged habitation in precarious environments such as mountainous slopes, the vulnerability of people and their susceptibility to natural hazards increases dramatically. Coupled with the concerns of changing climates, escalating recovery costs, a growing divergence between more developed and less developed countries, the subject of natural hazards remains on the forefront of issues that affect all people, nations, and environments all the time.This treatise provides a compendium of critical, timely and very detailed information and essential facts regarding the basic attributes of natural hazards and concomitant disasters. The Encyclopedia of Natural Hazards effectively captures and integrates contributions from an international portfolio of almost 300 specialists whose range of expertise addresses over 330 topics pertinent to the field of natural hazards. Disciplinary barriers are overcome in this comprehensive treatment of the subject matter. Clear illustrations and numerous color images enhance the primary aim to communicate and educate. The inclusion of a series of unique ?classic case study? events interspersed throughout the volume provides tangible examples linking concepts, issues, outcomes and solutions. These case studies illustrate different but notable recent, historic and prehistoric events that have shaped the world as we now know it. They provide excellent focal points linking the remaining terms in the volume to the primary field of study. This Encyclopedia of Natural Hazards will remain a standard reference of choice for many years.

Prototype of a web-based participative decision support platform in natural hazards and risk management

This paper presents the current state and development of a prototype web-GIS (Geographic Information System) decision support platform intended for application in natural hazards and risk management, mainly for floods and landslides. This web platform uses open-source geospatial software and technologies, particularly the Boundless (formerly OpenGeo) framework and its client side software development kit (SDK). The main purpose of the platform is to assist the experts and stakeholders in the decision-making process for evaluation and selection of different risk management strategies through an interactive participation approach, integrating web-GIS interface with decision support tool based on a compromise programming approach. The access rights and functionality of the platform are varied depending on the roles and responsibilities of stakeholders in managing the risk. The application of the prototype platform is demonstrated based on an example case study site: Malborghetto Valbruna municipality of North-Eastern Italy where flash floods and landslides are frequent with major events having occurred in 2003. The preliminary feedback collected from the stakeholders in the region is discussed to understand the perspectives of stakeholders on the proposed prototype platform.

Social capital and natural hazards : trust and cohesion in the eastern visayas of the Philippines

Cette thèse porte sur le capital social et les mesures prises afin de se préparer aux aléas naturels aux Philippines. L’archipel est régulièrement soumis à de nombreux risques de catastrophe, générant parfois des conséquences désastreuses pour la population et le patrimoine économique du pays. Par ailleurs, ces îles portent un lourd héritage colonial rendant omniprésents les inégalités socioéconomiques, le manque de solidarité et la pauvreté. Le concept du capital social demeure encore très polémique, cependant nous croyons qu'il peut s'avérer utile afin de mieux réfléchir à la façon dont les sociétés humaines interagissent avec les aléas naturels. Nos recherches mettent en avant l’importance des inégalités socioéconomiques, du contexte et de l'échelle géographique dans l’analyse du capital social et de la préparation aux aléas. Elles soulignent d'autre part que la compréhension des dynamiques sociales, telles que la confiance et la participation communautaire, ne peut être atteinte sans une considération des contextes politiques. Nous avons porté une attention particulière à l'examen des contextes et des différentes formes de capital social, et ce, à plusieurs niveaux géographiques (village, municipalité, région, pays). Un nombre croissant d'études montre que l'inégalité économique entraîne des conséquences néfastes sur le capital social. Des recherches récentes ont également commencé à interroger les rapports entre le capital social et les catastrophes dites « naturelles ». Notre thèse établit un lien entre ces deux approches en couplant une analyse générale de la situation des Philippines à une étude approfondie d'une municipalité rurale isolée de la région des Visayas orientales. L'argument central de cette thèse est que l'inégalité économique produit des effets néfastes sur le capital social, entraînant des répercussions négatives sur la prévention des catastrophes « naturelles ». Par le biais de l'analyse de plusieurs échelles géographiques, cette thèse entend montrer comment les inégalités, de par leur impact sur le capital social, contribuent à augmenter les chances de voir les aléas naturels se constituer en désastres. Nous avançons qu'un usage circonspect du concept de capital social, prenant en compte les complexités politiques, historiques, et géographiques du contexte auquel il s'applique, a la capacité d'améliorer la manière dont les gens se préparent collectivement afin d'éviter que les aléas ne se transforment en catastrophes.

Natural hazards : GCSE physical geography resource pack.

Es un recurso que cumple con los requisitos para la preparación del General Certificate Secondaty Education (GCSE) en geografía. Está dividido en ocho temas cada uno de los cuales tiene las siguientes características: notas para ayudar al profesor en la explicación y definición de conceptos clave dentro de casa sub-tema, en el repaso de las lecciones en clase, en el desarrollo de habilidades específicas en cada tema y en proporcionarle hojas de ejercicios para evaluar el resultado del aprendizaje de los alumnos, o para estimar la comprensión de éstos antes de pasar a otro tema.

Natural hazards & Disasters.

Conforme los riesgos naturales desembocan en desastres cada vez mayores, cuyos efectos hacen saltar la alarma social de un país o rebasan sus fronteras, trascendiendo a la conciencia internacional, nacen nuevas políticas de cooperación a nivel mundial. Este libro muestra las relativas dimensiones de los riesgos con relación a la magnitud, velocidad, duración y frecuencia. Muestra estadísticamente las dimensiones de los más importantes desastres, terremotos, volcanes, tsunamis, inundaciones, sequías, huracanes, tormentas tropicales, deslizamientos de tierra, avalanchas, incendios, plagas. Podemos conocer el número de muertes en los desastres y el número de gente afectada por ellos, así como las pérdidas económicas.

Los desastres naturales relacionados con el agua = Water-related natural hazards

Incluye Bibliografía

Los recursos hídricos de América Latina y el Caribe: riesgos naturales relacionados con el agua = The water resources of Latin America and the Caribbean: water-related natural hazards

Incluye Bibliografía

Mass-movement and flood-induced deposits in Lake Ledro, southern Alps, Italy: implications for Holocene palaeohydrology and natural hazards

High-resolution seismic profiles and sediment cores from Lake Ledro combined with soil and riverbed samples from the lake's catchment area are used to assess the recurrence of natural hazards (earthquakes and flood events) in the southern Italian Alps during the Holocene. Two well-developed deltas and a flat central basin are identified on seismic profiles in Lake Ledro. Lake sediments have been finely laminated in the basin since 9000 cal. yr BP and frequently interrupted by two types of sedimentary events (SEs): light-coloured massive layers and dark-coloured graded beds. Optical analysis (quantitative organic petrography) of the organic matter present in soil, riverbed and lacustrine samples together with lake sediment bulk density and grain-size analysis illustrate that light-coloured layers consist of a mixture of lacustrine sediments and mainly contain algal particles similar to the ones observed in background sediments. Light-coloured layers thicker than 1.5 cm in the main basin of Lake Ledro are synchronous to numerous coeval mass-wasting deposits remoulding the slopes of the basin. They are interpreted as subaquatic mass-movements triggered by historical and pre-historical regional earthquakes dated to AD2005, AD1891, AD1045 and 1260, 2545, 2595, 3350, 3815, 4740, 7190, 9185 and 11 495 cal. yr BP. Darkcoloured SEs develop high-amplitude reflections in front of the deltas and in the deep central basin. These beds are mainly made of terrestrial organic matter (soils and lignocellulosic debris) and are interpreted as resulting from intense hyperpycnal flood event. Mapping and quantifying the amount of soil material accumulated in the Holocene hyperpycnal flood deposits of the sequence allow estimating that the equivalent soil thickness eroded over the catchment area reached up to 5mm during the largest Holocene flood events. Such significant soil erosion is interpreted as resulting from the combination of heavy rainfall and snowmelt. The recurrence of flash flood events during the Holocene was, however, not high enough to affect pedogenesis processes and highlight several wet regional periods during the Holocene. The Holocene period is divided into four phases of environmental evolution. Over the first half of the Holocene, a progressive stabilization of the soils present through the catchment of Lake Ledro was associated with a progressive reforestation of the area and only interrupted during the wet 8.2 event when the soil destabilization was particularly important. Lower soil erosion was recorded during the mid-Holocene climatic optimum (8000-4200 cal. yr BP) and associated with higher algal production. Between 4200 and 3100 cal. yr BP, both wetter climate and human activities within the drainage basin drastically increased soil erosion rates. Finally, from 3100 cal. yr BP to the present-day, data suggest increasing and changing human land use.