scholarly journals EXPLORING THE EFFECT OF NOS/NOT LEARNING AND DISPOSITIONS ON UNDERTAKING BEHAVIOURAL ACTIONS IN THE CASE OF NATURAL HAZARDS

2019 ◽  
Vol 18 (4) ◽  
pp. 519-536
Author(s):  
David A. Cerulli ◽  
Jack B. Holbrook
Keyword(s):  
Natural Disaster ◽  
Natural Hazards ◽  
Nature Of Science ◽  
Natural Hazard ◽  
Disaster Reduction ◽  
Lightning Strikes ◽  
Nature Of Technology ◽  
Test Instrument ◽  
Instrument Measuring ◽  
Student Values

This research seeks to evaluate students’ intended behavioural actions in the event of a natural hazard, specifically hurricane, lightning, earthquake, or tsunami. A test instrument, measuring behavioural actions in the event of a natural hazard, and related NOS/NOT beliefs and dispositions, is utilized to collect data in Estonia, USA and Japan (N=2323). Results suggest that students responded adequately to tsunamis and lightning strikes, but to a lesser extent for hurricanes and earthquakes. Results also suggest a connection between dispositions and behavioural actions, but a lack of connection between generalised. NOS/NOT conceptualisations and behavioural actions. Results imply that students find it difficult to apply their learning to new situations requiring responsible behavioural actions. Implications indicate that NOS/NOT are not well understood, while responsible behavioural actions need to more heavily stressed in teaching about natural hazards involving the promotion of student values and attitudes with respect to Natural Disaster Reduction (NDR). Keywords: behavioural action, Natural Disaster Reduction (NDR), dispositions, Natural Hazards (NH), Nature of Science (NOS), Nature of Technology (NOT).

scholarly journals (P1-86) Socioeconomic Impact of Natural Disasters in China

2011 ◽  
Vol 26 (S1) ◽  
pp. s126-s127
Author(s):  
W. Zhang
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Natural Hazards ◽  
Natural Hazard ◽  
Epidemiological Data ◽  
Economic Loss ◽  
Disaster Mitigation ◽  
Socioeconomic Impact ◽  
Chinese Government ◽  
Chinese Yuan

IntroductionChina is one of the countries most affected by disasters caused by natural hazards. Disasters comprise an important restricting factor for economic and social development.MethodsRetrospective analysis was performed based on the epidemiological data of disasters caused by natural hazards in recent two decades.ResultsThe deadliest disaster that was reviewed was the Sichuan, Wenchuan earthquake on 12 May 2008 with a death toll of 88,928. Floods were the the primary natural hazard resulting in disaster in China. The economic loss caused by natural disasters was huge, the Sichuan earthquake alone resulted in an economic loss of 845.1 billion Chinese Yuan. However, psychosocial factors did not receive attention by Chinese Government and academics.ConclusionsThe characteristics and impact of disasters should be analyzed to scientifically provide useful information for natural disaster mitigation in China.

Natural Hazards Governance in South Asia

2019 ◽  
Author(s):  
Mihir Bhatt ◽  
Kelsey Gleason ◽  
Ronak B. Patel
Keyword(s):  
Climate Change ◽  
South Asia ◽  
Natural Disaster ◽  
Natural Hazards ◽  
South Asian ◽  
Disaster Risk Reduction ◽  
Natural Hazard ◽  
Disaster Risk ◽  
Socioeconomic Conditions ◽  
Asian Countries

South Asia is faced with a range of natural hazards, including floods, droughts, cyclones, earthquakes, landslides, and tsunamis. Rapid and unplanned urbanization, environmental degradation, climate change, and socioeconomic conditions are increasing citizens’ exposure to and risk from natural hazards and resulting in more frequent, intense, and costly disasters. Although governments and the international community are investing in disaster risk reduction, natural hazard governance in South Asian countries remain weak and often warrants a review when a major natural disaster strikes. Natural hazards governance is an emerging concept, and many countries in South Asia have a challenging hazard governance context.

Natural Hazards Governance in Cuba

2019 ◽  
Author(s):  
Enrique A. Castellanos Abella ◽  
Benjamin Wisner
Keyword(s):  
Risk Reduction ◽  
Natural Hazards ◽  
Disaster Risk Reduction ◽  
Natural Hazard ◽  
Early Warning Systems ◽  
Disaster Risk ◽  
Economic Losses ◽  
Risk Governance ◽  
Disaster Reduction ◽  
Local Risk

Natural hazard governance in Cuba elicits widely differing commentaries. While some experts praise it as an extension of state commitment to social welfare, others debate the ethics, necessity, and utility of forced evacuation. However, many disaster experts are unaware of the long-term development of disaster reduction in the country—how Cuban risk governance has evolved in a unique geopolitical and social environment. Mass mobilization to prepare for military invasion and prior response to hurricane disaster provided the foundation for Cuba’s contemporary focus on disaster risk reduction. A pragmatic analysis of the development of natural hazard governance in Cuba and its components reveals key factors for its success in protecting lives. Deployment of local risk management centers, nationwide multi-hazard risk assessment, and early warning systems are recognized as important factors for the effectiveness of disaster reduction in the country. The number of scientific organizations collecting data and carrying out research is also a factor in the reduction of disaster impact and increases the level of resiliency. Over time, an increasing number of organizations and population groups have become involved in risk governance. Risk communication is used as a tool for keeping popular risk perception at an effective level, and for encouraging effective self-protection during hazard events. The continuous development and improvement of a multilateral framework for natural hazards governance is also among the important components of disaster risk reduction in Cuba. However, the economic crisis that followed the collapse of the Soviet Union and the long-lasting U.S. government blockade have been constraints on economic development and disaster risk reduction. These geopolitical and macroeconomic realities must be recognized as the main causes of the large economic losses and slow recovery after a natural hazard impact. Nevertheless, disaster recovery is carried out at the highest level of management with the goal of reducing vulnerability as much as possible to avoid future losses. Despite economic losses due to natural disasters, Cuban governance of natural hazards is evaluated as a success by most organizations and experts worldwide.

Pipeline Vulnerability to Natural Hazards

2015 ◽  
Author(s):  
José Vicente Amórtegui
Keyword(s):  
Stress State ◽  
Risk Analysis ◽  
Natural Hazards ◽  
Natural Hazard ◽  
Weather Conditions ◽  
Monitoring Systems ◽  
System Vulnerability ◽  
Preventive Actions ◽  
Strength And Stiffness ◽  
External Forces

The strength and stiffness of the pipelines allow them to tolerate the effects of natural hazards for some period of time. The amount of time depends on the strength and deformability, the stress state, the age, the conditions of installation and operation of the pipeline and their geometric arrangement with regard to the hazardous process. Accordingly, some of the hazards due to weather conditions and external forces would not be time independent. In consequence the designing of monitoring systems to predict the behavior of the pipelines against natural hazards is required in order to carry out the preventive actions which are necessary to avoid failure of the pipes due to the exposition to those hazards. In this paper a method for assessing the transport system vulnerability is developed, a function for risk analysis is proposed (which is determined by the probability of the natural hazard, the pipeline’s vulnerability to the hazard and the consequences of the pipe rupture). The elements that are part of that evaluation are presented and illustrated by means of examples.

scholarly journals Landscape analysis for multi-hazard prevention in Orco and Soana valleys, Northwest Italy

2015 ◽  
Vol 15 (9) ◽  
pp. 1963-1972 ◽  
Author(s):  
L. Turconi ◽  
D. Tropeano ◽  
G. Savio ◽  
S. K. De ◽  
P. J. Mason
Keyword(s):  
Natural Hazards ◽  
Natural Hazard ◽  
Thematic Maps ◽  
Italian Alps ◽  
Alpine Environment ◽  
Natural Risk ◽  
Mountainous Regions ◽  
Morphological Studies ◽  
Field Evidence ◽  
Different Types

Abstract. The study area (600 km2), consisting of Orco and Soana valleys in the Western Italian Alps, experienced different types of natural hazards, typical of the whole Alpine environment. Some of the authors have been requested to draw a civil protection plan for such mountainous regions. This offered the special opportunity (1) to draw a lot of unpublished historical data, dating back several centuries mostly concerning natural hazard processes and related damages, (2) to develop original detailed geo-morphological studies in a region still poorly known, (3) to prepare detailed thematic maps illustrating landscape components related to natural conditions and hazards, (4) to thoroughly check present-day situations in the area compared to the effects of past events and (5) to find adequate natural hazard scenarios for all sites exposed to risk. The method of work has been essentially to compare archival findings with field evidence in order to assess natural hazard processes, their occurrence and magnitude, and to arrange all such elements in a database for GIS-supported thematic maps. Several types of natural hazards, such as landslides, rockfalls, debris flows, stream floods and snow avalanches cause huge damage to lives and properties (housings, roads, tourist sites). We aim to obtain newly acquired knowledge in this large, still poorly understood area as well as develop easy-to-interpret products such as natural risk maps.

scholarly journals Assessing the risk posed by natural hazards to infrastructures

2016 ◽  
Author(s):  
Unni Marie Kolderup Eidsvig ◽  
Krister Kristensen ◽  
Bjørn Vidar Vangelsten
Keyword(s):  
Quantitative Analysis ◽  
Natural Hazards ◽  
Natural Hazard ◽  
Quality Level ◽  
Quantitative Methodology ◽  
Cascading Effects ◽  
Natural Event ◽  
Ranking Criteria ◽  
Adverse Weather ◽  
Restoration Effort

Abstract. This paper proposes a model for assessing the risk posed by natural hazards to infrastructures. The model prescribes a three level analysis with increasing level of detail, moving from qualitative to quantitative analysis. The focus is on a methodology for semi-quantitative analysis to be performed at the second level. The purpose of this type of analysis is to perform a screening of the scenarios of natural hazards threatening the infrastructures, identifying the most critical scenarios and investigating the need for further analyses (third level). The proposed semi-quantitative methodology considers the frequency of the natural hazard, different aspects of vulnerability including the physical vulnerability of the infrastructure itself and the societal dependency on the infrastructure. An indicator-based approach is applied, ranking the indicators on a relative scale according to pre-defined ranking criteria. The proposed indicators, which characterize conditions that influence the probability of an infrastructure break-down caused by a natural event, are defined as 1) Robustness and buffer capacity, 2) Level of protection, 3) Quality/Level of maintenance and renewal, 4) Adaptability and quality in operational procedures and 5) Transparency/complexity/degree of coupling. Further indicators describe the societal consequences of the infrastructure failure, such as Redundancy and/or substitution, Restoration effort/duration, Preparedness, early warning and emergency response and Dependencies and cascading effects. The aggregated risk estimate is a combination of the semi-quantitative vulnerability indicators, as well as quantitative estimates of the frequency of the natural hazard, the potential duration of the infrastructure malfunctioning (depending e.g. on the required restoration effort) and the number of users of the infrastructure. Case studies for two Norwegian municipalities are presented where risk posed by adverse weather and natural hazards to primary road, water supply and power network is assessed. The application examples show that the proposed model provides a useful tool for screening of potential undesirable events, contributing to a targeted reduction of the risk.

scholarly journals The Swiss joint information platform for natural hazards

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Philipp Angehrn ◽  
Sabina Steiner ◽  
Christophe Lienert
Keyword(s):  
Natural Hazards ◽  
Spatial Data ◽  
Natural Hazard ◽  
Regional Scale ◽  
Measurement Data ◽  
User Feedback ◽  
Acceptance Testing ◽  
Spatial Density ◽  
Data Sets ◽  
Information Platform

<p><strong>Abstract.</strong> The Swiss Joint Information Platform for Natural Hazards (GIN) has been realized from 2008 to 2010 as part of the Swiss federal government’s OWARNA project, which aimed at optimizing warning and alerting procedures against natural hazard. The first online-version of the platform went productive in 2011 with the primary goal of providing measured and forecast natural hazard data in form of processed cartographic, graphic and other multimedia products to professional users &amp;ndash; before, during and after natural hazard events. In Switzerland water-, weather-, snow- and earthquake-related hazards are the most relevant ones.</p><p>In 2013, an online survey showed that the platform does not fully meet user expectations, particularly as to user experience and usability of its cartographic, web-based user interface. Revaluation and redesign of the overall platform were necessary in order to improve map legibility, caused by the complexity of data, large data amounts, and high spatial density of online, real-time measurement data locations. A new web design and user interaction concept have been developed in 2014 and eventually put online in June 2017. User acceptance testing by means of surveys and direct user feedback sessions were key factors in this perennial redesign process. The GIN platform now features important novel technical and graphical elements: The starting page is based on a dashboard containing virtual dossiers (Fig. 1), with which users configure their desired information, data, and map bundles individually, or use predefined adaptable views on various existing data sets. In addition, there is a new overall spatial search function to query data parameters. A responsive approach further improves the usability of the platform. The focus of these new features is on multi-views involving maps, diagrams, tables, text products, as well as selected geographical areas on maps, and fast data queries (Fig. 2). Current user feedback suggests that the new GIN platform design is well received, and that it is moving closer to its very goal: online monitoring and management of natural hazard events by enhanced usability, more targeted and higher personalization.</p><p>Several Swiss Cantons (i.e., the political entities in Switzerland below the federation) actively participated, and still participate, in the conceptual GIN platform development process through advisory board meetings and consultations. On the operational level, Cantons actively provide and contribute further natural hazard information and measurement data from their own natural hazard monitoring networks. These additional Cantonal regional-scale data sets help to fill spatial data gaps, where no Federal data is available. GIN thusly integrates natural hazard data from Federal and Cantonal levels (and partly even private level), which adds value to all stakeholders on various political levels involved in natural hazard management (Federal, Cantonal, Regional, Communal crisis committees). Stakeholders not only use GIN’s ample database and cartographic product portfolio to accomplish their early warning and crisis management tasks, but also benefit from seamless, secure and reliable IT-services, provided by the Swiss Federal Government. With the new GIN platform, Switzerland has a powerful, integrative, and comprehensive tool for monitoring and responding to natural hazard events.</p>

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