natural hazard
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2022 ◽  
Vol 3 (1) ◽  
pp. 08-23
Author(s):  
Abdelatif RAJJI ◽  
Amina Wafik ◽  
Abdessamad Najine ◽  
Amroumoussa Benmoussa

The application of specialized natural hazard mapping is an absolute necessity for the management and prevention of natural hazard events. This paper treats the description of all the procedures carried out in order to produce a map of vulnerability and susceptibility to cave-ins, calculated and evaluated by the multicriteria method (AHP) and by using the GIS tool in the old Medina of Beni Mellal, which is recognized from time to time by cave-ins. The objective of this study is to develop a new method for analyzing the vulnerability of cavities to collapse, which presents a real risk in the urban area of the old cities. The methodology, applied to the old city of Beni-Mellal, consists in identifying and quantifying the stakes linked to the collapse of a cavity using a geographic information system. The weight of each parameter and factor exposed in the vulnerability was estimated using the hierarchical multicriteria method (AHP). The result is presented in the form of a spatialized and synthetic vulnerability map. The detection, mapping and assessment of areas vulnerable to the collapse of these cavities, particularly for large areas of the city, offers the possibility of reducing damage by intervening upstream and introducing preventive and corrective measures against any risk of collapse in the areas deemed vulnerable by our study. The maps show three zones with different degrees of vulnerability. The low and medium vulnerability zones occupy respectively 30 and 20% of the total area of the old city, while the high and very high vulnerability zones occupy respectively 16% and 4%.


2022 ◽  
Vol 14 (2) ◽  
pp. 810
Author(s):  
Tan Yigitcanlar ◽  
Massimo Regona ◽  
Nayomi Kankanamge ◽  
Rashid Mehmood ◽  
Justin D’Costa ◽  
...  

Natural hazard-related disasters are disruptive events with significant impact on people, communities, buildings, infrastructure, animals, agriculture, and environmental assets. The exponentially increasing anthropogenic activities on the planet have aggregated the climate change and consequently increased the frequency and severity of these natural hazard-related disasters, and consequential damages in cities. The digital technological advancements, such as monitoring systems based on fusion of sensors and machine learning, in early detection, warning and disaster response systems are being implemented as part of the disaster management practice in many countries and presented useful results. Along with these promising technologies, crowdsourced social media disaster big data analytics has also started to be utilized. This study aims to form an understanding of how social media analytics can be utilized to assist government authorities in estimating the damages linked to natural hazard-related disaster impacts on urban centers in the age of climate change. To this end, this study analyzes crowdsourced disaster big data from Twitter users in the testbed case study of Australian states and territories. The methodological approach of this study employs the social media analytics method and conducts sentiment and content analyses of location-based Twitter messages (n = 131,673) from Australia. The study informs authorities on an innovative way to analyze the geographic distribution, occurrence frequency of various disasters and their damages based on the geo-tweets analysis.


2021 ◽  
Author(s):  
Alexander Fekete

Abstract Kenya experiences massive urban growth, also into natural hazard-prone areas, exposing settlements and the natural environment to riverine and pluvial floods and other natural hazards. While Nairobi as the capital and principal city has been extensively analysed regarding urban growth and flood hazard in some central parts, awareness of growing peri-urban areas has not been studied as much. The results are of interest to other locations in Kenya and worldwide, too, since the current research and disaster risk practice focus is still too much on megacities and city centres. Therefore, the study compares urban growth into hazard areas in urban rims of Nairobi and Nyeri, Kenya. A change assessment from 1948 to 2020 is conducted by aerial images, declassified satellite images, and recent data. Urban growth rates are 10 to 20-fold, while growth into flood exposed areas ranges from 3 to 100-fold. This study reveals unused opportunities for expanding existing land-use change analysis back to the 1940s in data-scarce environments.


2021 ◽  
Vol 3 ◽  
pp. 1-2
Author(s):  
Christophe Lienert ◽  
Franziska Angly ◽  
Barbora Neveršil ◽  
Daniel Meier
Keyword(s):  


Author(s):  
Jida Liu ◽  
Changqi Dong ◽  
Shi An ◽  
Yanan Guo

Social organizations have become an important component of the emergency management system by virtue of their heterogeneous resource advantages. It is of great significance to explore the interaction between the local government and social organizations and to clarify the key factors affecting the participation of social organizations in natural hazard emergency responses. With the aim of exploring the relationship between the local government and social organizations, based on evolutionary game theory, the emergency incentive game model and the emergency linkage game model of natural hazard emergency responses were constructed. The evolutionary trajectories of the emergency incentive game system and the emergency linkage game system were described by numerical simulation. Meanwhile, the influence mechanism of government decision parameters on the strategy selection of both game subjects was analyzed. The results show that both governmental incentive strategy and linkage strategy can significantly improve the enthusiasm of social organizations for participating in natural hazard emergency responses. Moreover, they could encourage social organizations to choose a positive participation strategy. Nevertheless, over-reliance on incentives reduces the probability of the local government choosing a positive emergency strategy. In addition, we found that, when both game subjects tend to choose a positive strategy, the strategy selection of the local government drives that of social organizations.


2021 ◽  
Author(s):  
◽  
Lauren Vinnell

<p>Natural hazards impact millions of people globally and lead to billions of dollars of economic loss each year. New Zealand is one of many countries vulnerable to multiple natural hazards including earthquakes, tsunami, volcanic eruption, and high impact weather. Despite these well-known risks, many residents of the capital city of Wellington have taken few steps to be more prepared. This location, therefore, presented an appropriate population for the investigations within this thesis. Decades of social science research has identified a multitude of factors related to preparation behaviour. However, many of these factors, such as risk perception and previous experience of natural hazards, are difficult to manipulate successfully in broad public education campaigns. The first main aim of this thesis was therefore to identify thoughts and beliefs about preparing which predict people’s preparation behaviour, with the aim of identifying specific factors which can be efficiently and effectively targeted in campaigns encouraging preparation. This research was structured using the Theory of Planned Behaviour (TPB) which proposes a specific set of cognitions that affect intention formation as well as beliefs which inform those cognitions. In addition to using this model to structure the investigation, this thesis undertook several refinements and extensions to the model to address inconsistencies within TPB research. The intent of doing so was to provide a set of findings and a questionnaire which are not limited by those inconsistencies and which can be adapted for a range of behavioural contexts.  Four empirical studies were carried out, involving a total of 2,298 participants from the general population. Study 1 tested the applicability of this theory to the context of natural disaster preparation and clarified the nature of that context. Using an online survey of 722 residents of the urban Wellington region, Study 1 demonstrated low levels of preparation, identified not “getting around to it” as a main barrier to preparation, and supported a more extensive application of the TPB with the factors explaining approximately 16% of the variance in intentions. Study 2 tested a full TPB questionnaire including both the two-factor distinction (splitting attitudes into instrumental and experiential, norms in descriptive and injunctive, and perceived behaviour control into controllability and self-efficacy) and belief components which are proposed to precede attitudes, norms, and control. This study used an online sample of 603 Wellington residents. All the cognitions within the theory except perceived descriptive norms were significantly associated with either past behaviour or intentions to prepare, explaining approximately 47% of the variance in intentions. This study also included an experimental framing manipulation, demonstrating benefits of referring to “natural hazard” preparation rather than “natural disaster” preparation.   Study 3 concluded the development of the TPB questionnaire by assessing intentions, cognitions, and beliefs at one point in time and behaviour one month later to allow for stronger inferences about causality, with a sample of 61 participants across both time points. This study used a different recruitment method than the previous studies: posted survey invites using addresses randomly selected from the electoral roll. Although this method did not produce a more demographically representative sample than the recruitment method used in Studies 1 and 2 as intended, Study 3 reproduced the findings of the “natural hazard” condition in Study 2. Finally, this study identified several key beliefs related to preparing such as the belief that preparing helps people to get through a natural hazard event better, that people can make the effort to prepare, and that preparing can be fun and rewarding. These beliefs offer specific and tangible factors which can be efficiently addressed in public education campaigns.   An intervention run previously by the New Zealand National Emergency Agency, the ShakeOut earthquake drill, was retrospectively evaluated in Study 4 by comparing those who did and those who did not participate (N = 480) using the TPB framework. Those who participated in the drill demonstrated better knowledge and use of the protective actions that are the focus of the drill than those who did not participate. Although this intervention was not informed by the findings of the previous studies, drill participants also demonstrated more positive scores for the TPB cognitions and intentions compared to non-participants, although more of the variance in intentions was explained for the latter (approximately 41%) than the former (approximately 31%).   Overall, findings from the empirical studies support the recommendation for consistent inclusion of all tested refinements to the Theory of Planned Behaviour (i.e., the two-factor distinction, the inclusion of belief measures, and careful development of behavioural measures). This thesis represents a uniquely thorough test of the Theory of Planned Behaviour to natural hazard preparation with important implications for both the contextual value of the theory and how the theory is applied in research broadly. The research also supports previous findings of the importance of instrumental attitudes and self-efficacy for natural hazard preparation and contributed the novel factor of experiential attitudes as well as identifying new, specific beliefs to target in public education campaigns. These contributions to our understanding of why people prepare for natural hazards can be used to encourage more people in Wellington, in New Zealand, and globally to be more prepared.</p>


2021 ◽  
Vol 6 (12) ◽  
pp. 174
Author(s):  
Vigile Marie Fabella ◽  
Sonja Szymczak

A crucial step in measuring the resilience of railway infrastructure is to quantify the extent of its vulnerability to natural hazards. In this paper, we analyze the vulnerability of the German railway network to four types of natural hazards that regularly cause disruptions in German rail operations: floods, mass movements, slope fires, and tree falls. Using daily train traffic data matched with various data on disruptive events, we quantify the extent to which these four types of natural hazard reduce daily train traffic volumes. With a negative binomial count data regression, we find evidence that the track segments of the German railway network are most vulnerable to floods, followed by mass movements and tree-fall events. On average, floods reduce traffic on track segments by 19% of the average daily train traffic, mass movements by 16%, and tree fall by 4%. Moreover, when more than one type of natural hazard affects the track segment on the same day, train traffic on that segment falls by 34% of the average train traffic. Slope fires have an ambiguous and nonrobust effect on train traffic due to the reverse causality due to its triggering factors. This is the first study that attempts to rank different natural hazards according to their impact on railway traffic. The results have implications for the selection of resilience strategy and can help prioritize policy measures.


2021 ◽  
Author(s):  
◽  
Lauren Vinnell

<p>Natural hazards impact millions of people globally and lead to billions of dollars of economic loss each year. New Zealand is one of many countries vulnerable to multiple natural hazards including earthquakes, tsunami, volcanic eruption, and high impact weather. Despite these well-known risks, many residents of the capital city of Wellington have taken few steps to be more prepared. This location, therefore, presented an appropriate population for the investigations within this thesis. Decades of social science research has identified a multitude of factors related to preparation behaviour. However, many of these factors, such as risk perception and previous experience of natural hazards, are difficult to manipulate successfully in broad public education campaigns. The first main aim of this thesis was therefore to identify thoughts and beliefs about preparing which predict people’s preparation behaviour, with the aim of identifying specific factors which can be efficiently and effectively targeted in campaigns encouraging preparation. This research was structured using the Theory of Planned Behaviour (TPB) which proposes a specific set of cognitions that affect intention formation as well as beliefs which inform those cognitions. In addition to using this model to structure the investigation, this thesis undertook several refinements and extensions to the model to address inconsistencies within TPB research. The intent of doing so was to provide a set of findings and a questionnaire which are not limited by those inconsistencies and which can be adapted for a range of behavioural contexts.  Four empirical studies were carried out, involving a total of 2,298 participants from the general population. Study 1 tested the applicability of this theory to the context of natural disaster preparation and clarified the nature of that context. Using an online survey of 722 residents of the urban Wellington region, Study 1 demonstrated low levels of preparation, identified not “getting around to it” as a main barrier to preparation, and supported a more extensive application of the TPB with the factors explaining approximately 16% of the variance in intentions. Study 2 tested a full TPB questionnaire including both the two-factor distinction (splitting attitudes into instrumental and experiential, norms in descriptive and injunctive, and perceived behaviour control into controllability and self-efficacy) and belief components which are proposed to precede attitudes, norms, and control. This study used an online sample of 603 Wellington residents. All the cognitions within the theory except perceived descriptive norms were significantly associated with either past behaviour or intentions to prepare, explaining approximately 47% of the variance in intentions. This study also included an experimental framing manipulation, demonstrating benefits of referring to “natural hazard” preparation rather than “natural disaster” preparation.   Study 3 concluded the development of the TPB questionnaire by assessing intentions, cognitions, and beliefs at one point in time and behaviour one month later to allow for stronger inferences about causality, with a sample of 61 participants across both time points. This study used a different recruitment method than the previous studies: posted survey invites using addresses randomly selected from the electoral roll. Although this method did not produce a more demographically representative sample than the recruitment method used in Studies 1 and 2 as intended, Study 3 reproduced the findings of the “natural hazard” condition in Study 2. Finally, this study identified several key beliefs related to preparing such as the belief that preparing helps people to get through a natural hazard event better, that people can make the effort to prepare, and that preparing can be fun and rewarding. These beliefs offer specific and tangible factors which can be efficiently addressed in public education campaigns.   An intervention run previously by the New Zealand National Emergency Agency, the ShakeOut earthquake drill, was retrospectively evaluated in Study 4 by comparing those who did and those who did not participate (N = 480) using the TPB framework. Those who participated in the drill demonstrated better knowledge and use of the protective actions that are the focus of the drill than those who did not participate. Although this intervention was not informed by the findings of the previous studies, drill participants also demonstrated more positive scores for the TPB cognitions and intentions compared to non-participants, although more of the variance in intentions was explained for the latter (approximately 41%) than the former (approximately 31%).   Overall, findings from the empirical studies support the recommendation for consistent inclusion of all tested refinements to the Theory of Planned Behaviour (i.e., the two-factor distinction, the inclusion of belief measures, and careful development of behavioural measures). This thesis represents a uniquely thorough test of the Theory of Planned Behaviour to natural hazard preparation with important implications for both the contextual value of the theory and how the theory is applied in research broadly. The research also supports previous findings of the importance of instrumental attitudes and self-efficacy for natural hazard preparation and contributed the novel factor of experiential attitudes as well as identifying new, specific beliefs to target in public education campaigns. These contributions to our understanding of why people prepare for natural hazards can be used to encourage more people in Wellington, in New Zealand, and globally to be more prepared.</p>


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