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Agenda Setting and Natural Hazards  

Rob A. DeLeo

Agenda setting describes the process through which issues are selected for consideration by a decision-making body. Among the myriad of issues policymakers can consider, few are more vexing than natural hazards. By aggregating (or threatening to aggregate) death, destruction, and economic loss, natural hazards represent a serious and persistent threat to public safety. While citizens rightfully expect policymakers to protect them, many of the policy challenges associated natural hazards fail to reach the crowded government agenda. This article reviews the literature on agenda setting and natural hazards, including the strain between preparing for emerging hazards, on the one hand, and responding to existing disasters, on the other hand. It considers the extent to which natural hazards pose distinctive difficulties during the agenda-setting process, focusing specifically on the dynamics of issue identification, problem definition, venue shopping, and interest group mobilization in natural hazard domains. It closes by suggesting a number of future avenues of agenda-setting research.


Agent-Based Modeling of Flood Insurance Futures  

Linda Geaves

Agent-based models have facilitated greater understanding of flood insurance futures, and will continue to advance this field as modeling technology develops further. As the pressures of climate-change increase and global populations grow, the insurance industry will be required to adapt to a less predictable operating environment. Complicating the future of flood insurance is the role flood insurance plays within a state, as well as how insurers impact the interests of other stakeholders, such as mortgage providers, property developers, and householders. As such, flood insurance is inextricably linked with the politics, economy, and social welfare of a state, and can be considered as part of a complex system of changing environments and diverse stakeholders. Agent-based models are capable of modeling complex systems, and, as such, have utility for flood insurance systems. These models can be considered as a platform in which the actions of autonomous agents, both individuals and collectives, are simulated. Cellular automata are the lowest level of an agent-based model and are discrete and abstract computational systems. These automata, which operate within a local and/or universal environment, can be programmed with characteristics of stakeholders and can act independently or interact collectively. Due to this, agent-based models can capture the complexities of a multi-stakeholder environment displaying diversity of behavior and, concurrently, can cater for the changing flood environment. Agent-based models of flood insurance futures have primarily been developed for predictive purposes, such as understanding the impact of introductions of policy instruments. However, the ways in which these situations have been approached by researchers have varied; some have focused on recreating consumer behavior and psychology, while others have sought to recreate agent interactions within a flood environment. The opportunities for agent-based models are likely to become more pronounced as online data becomes more readily available and artificial intelligence technology supports model development.


A Relational Approach to Risk Communication  

Jing Zhu and Raul P. Lejano

It is instructive to juxtapose two contrasting models of risk communication. The first views risk communication as a product that is packaged and transmitted, unmodified and intact, to a passive public. The second, a relational approach, views it as a process in which experts, the public, and agencies engage in open communication, regarding the public as an equal partner in risk communication. The second model has the benefit of taking advantage of the public’s local knowledge and ability to engage in risk communication themselves. Risk communication should be understood as more of a dynamic process, and less of a packaged object. An example of the relational model is found in Bangladesh’s Cyclone Preparedness Programme, which has incorporated the relational model in its disaster risk reduction training for community volunteers. Nevertheless, the two contrasting models, in practice, are never mutually exclusive, and both are needed for effective disaster risk prevention.


Changing Disaster Vulnerability and Capability in Aging Populations  

Jennifer Whytlaw and Nicole S. Hutton

The aging population, also referred to as elderly or seniors, represents a demographic of growing significance for disaster management. The population pyramid, an important indicator of population growth, stability, and decline, has shifted from the typical pyramid shape into more of a dome shape when viewing trends globally. While these demographic shifts in age structure are unique to individual countries, adjustments in disaster management are needed to reduce the risk of aging populations increasingly affected by hazards. Risk is especially evident when considering where aging populations live, as proximity to environmental hazards such as flooding, tropical storm surge, fires, and extreme weather resulting in heat and cold increase their risk. Aging populations may live alone or together in retirement communities and senior living facilities where the respective isolation or high density of older adults present specific risks. There is a concern in areas with high economic productivity, also considered post-industrial areas, where the population consists more of those who are aging and less of those who are younger to support the labor needs of the market and more specifically to support and engage aging populations. This disparity becomes even more prominent in specific sectors such as healthcare, including senior living assistance. In developing economies, the young are increasingly leaving traditionally intergenerational households to seek greater economic opportunities in cities, leaving many seniors on their own. Thus, risk reduction strategies must be conscious of the needs and contributions of seniors as well as the capacity of the workforce to implement them. The integration of aging populations within disaster management through accommodation and consultation varies across the globe. Provision of services for and personal agency among senior populations can mitigate vulnerabilities associated with age, as well as compounding factors such as medical fragility, societal interaction, and income. Experience, mobility, and socioeconomic capabilities affect decision making and outcomes of aging populations in hazardous settings. Therefore, the means of involvement in disaster planning should be adapted to accommodate the sociocultural, economic, and environmental realities of aging populations.


Community-Based Disaster Risk Reduction  

Rajib Shaw

Community-based approaches existed even before the existence of the state and its formal governance structure. People and communities used to help and take care of each other’s disaster needs. However, due to the evolution of state governance, new terminology of community-based disaster risk reduction (CBDRR) has been coined to help communities in an organized way. Different stakeholders are responsible for community-based actions; the two key players are the local governments and civil society, or nongovernment organizations. Private sector and academic and research institutions also play crucial roles in CBDRR. Many innovative CBDRR practices exist in the world, and it is important to analyze them and learn the common lessons. The key to community is its diversity, and this should be kept in mind for the CBDRR. There are different entry points and change agents based on the diverse community. It is important to identify the right change agent and entry point and to develop a sustainable mechanism to institutionalize CBDRR activities. Social networking needs to be incorporated for effective CBDRR.


Disaster and Emergency Planning for Preparedness, Response, and Recovery  

David Alexander

Emergency and disaster planning involves a coordinated, co-operative process of preparing to match urgent needs with available resources. The phases are research, writing, dissemination, testing, and updating. Hence, an emergency plan needs to be a living document that is periodically adapted to changing circumstances and that provides a guide to the protocols, procedures, and division of responsibilities in emergency response. Emergency planning is an exploratory process that provides generic procedures for managing unforeseen impacts and should use carefully constructed scenarios to anticipate the needs that will be generated by foreseeable hazards when they strike. Plans need to be developed for specific sectors, such as education, health, industry, and commerce. They also need to exist in a nested hierarchy that extends from the local emergency response (the most fundamental level), through the regional tiers of government, to the national and international levels. Failure to plan can be construed as negligence because it would involve failing to anticipate needs that cannot be responded to adequately by improvisation during an emergency. Plans are needed, not only for responding to the impacts of disaster, but also to maintain business continuity while managing the crisis, and to guide recovery and reconstruction effectively. Dealing with disaster is a social process that requires public support for planning initiatives and participation by a wide variety of responders, technical experts and citizens. It needs to be sustainable in the light of challenges posed by non-renewable resource utilization, climate change, population growth, and imbalances of wealth. Although, at its most basic level, emergency planning is little more than codified common sense, the increasing complexity of modern disasters has required substantial professionalization of the field. This is especially true in light of the increasing role in emergency response of information and communications technology. Disaster planners and coordinators are resource managers, and in the future, they will need to cope with complex and sophisticated transfers of human and material resources. In a globalizing world that is subject to accelerating physical, social, and economic change, the challenge of managing emergencies well depends on effective planning and foresight, and the ability to connect disparate elements of the emergency response into coherent strategies.


Disasters and the Private Sector: Impact of Extreme Events, Preparedness, and Contribution to Disaster Risk Reduction  

Simon A. Andrew, Vaswati Chatterjee, and Gary Webb

Private-sector organizations play a significant role in disaster management. Small businesses and larger corporations employ a sizable population in our communities, provide essential goods and services, and are often an integral component of community development. Within the disaster management arena, private-sector organizations in coordination with government agencies provide valuable services in the aftermath of disasters. They make valuable contributions to relief and response through donations and volunteering. They also aid the recovery process through continued employment that provides economic stability to the surrounding community and provision of essential services like food, rebuilding and reconstruction services, and housing for displaced populations. Certain businesses may also significantly contribute to long-term disaster management functions like community disaster risk reduction. While small businesses often actively participate in community resilience planning and implementation, larger corporations also contribute toward sustainable development through corporate social responsibility policies. However, to be effective partners in disaster management, businesses need to be first prepared to maintain continuity of operations in the aftermath of disasters. Having a continuity of operations plan and taking financial preparedness measures have been found to be effective for survival of businesses. Businesses may face other challenges when participating in disaster management actions—specifically, lack of resources and knowledge, as well as collective action risks associated with public–private partnerships. Additionally, not all private-sector agencies may be motivated to contribute toward disaster risk reduction practices. In fact, disasters can often create short-term positive economic impacts due to flow of external aid and increased demand for certain services like construction and housing—thus motivating businesses to choose short-term economic profits over long-term investments in disaster risk reduction. In summary, while the role of the private sector in disaster management is crucial, their involvement is complex and faces numerous challenges. The connection between businesses and community resilience is also less studied. It is therefore of value to examine the role of businesses as significant stakeholders in community disaster management, identify factors that motivate or hinder their participation, and discuss ways in which businesses can improve their own preparedness so as to minimize disruption in the aftermath of disasters.


Fatalism, Causal Reasoning, and Natural Hazards  

John McClure

Fatalism about natural disasters hinders action to prepare for those disasters, and overcoming this fatalism is one key element to preparing people for these disasters. Research by Bostrom and colleagues shows that failure to act often reflects gaps and misconceptions in citizen’s mental models of disasters. Research by McClure and colleagues shows that fatalistic attitudes reflect people’s attributing damage to uncontrollable natural causes rather than controllable human actions, such as preparation. Research shows which precise features of risk communications lead people to see damage as preventable and to attribute damage to controllable human actions. Messages that enhance the accuracy of mental models of disasters by including human factors recognized by experts lead to increased preparedness. Effective messages also communicate that major damage in disasters is often distinctive and reflects controllable causes. These messages underpin causal judgments that reduce fatalism and enhance preparation. Many of these messages are not only beneficial but also newsworthy. Messages that are logically equivalent but are differently framed have varying effects on risk judgments and preparedness. The causes of harm in disasters are often contested, because they often imply human responsibility for the outcomes and entail significant cost.


Flood Warning Systems and Their Performance  

Dennis John Parker

Humankind is becoming increasingly dependent on timely flood warnings. Dependence is being driven by an increasing frequency and intensity of heavy rainfall events, a growing number of disruptive and damaging floods, and rising sea levels associated with climate change. At the same time, the population living in flood-risk areas and the value of urban and rural assets exposed to floods are growing rapidly. Flood warnings are an important means of adapting to growing flood risk and learning to live with it by avoiding damage, loss of life, and injury. Such warnings are increasingly being employed in combination with other flood-risk management measures, including large-scale mobile flood barriers and property-level protection measures. Given that lives may well depend on effective flood warnings and appropriate warning responses, it is crucial that the warnings perform satisfactorily, particularly by being accurate, reliable, and timely. A sufficiently long warning lead time to allow precautions to be taken and property and people to be moved out of harm’s way is particularly important. However, flood warnings are heavily dependent on the other components of flood forecasting, warning, and response systems of which they are a central part. These other components—flood detection, flood forecasting, warning communication, and warning response—form a system that is characterized as a chain, each link of which depends on the other links for effective outcomes. Inherent weaknesses exist in chainlike processes and are often the basis of warning underperformance when it occurs. A number of key issues confront those seeking to create and successfully operate flood warning systems, including (1) translating technical flood forecasts into warnings that are readily understandable by the public; (2) taking legal responsibility for warnings and their dissemination; (3) raising flood-risk awareness; (4) designing effective flood warning messages; (5) knowing how best and when to communicate warnings; and (6) addressing uncertainties surrounding flood warnings. Flood warning science brings together a large body of research findings from a particularly wide range of disciplines ranging from hydrometeorological science to social psychology. In recent decades, major advances have been made in forecasting fluvial and coastal floods. Accurately forecasting pluvial events that cause surface-water floods is at the research frontier, with significant progress being made. Over the same time period, impressive advances in a variety of rapid, personalized communication means has transformed the process of flood warning dissemination. Much is now known about the factors that constrain and aid appropriate flood warning responses both at the individual and at organized, flood emergency response levels, and a range of innovations are being applied to improve response effectiveness. Although the uniqueness of each flood and the inherent unpredictability involved in flood events means that sometimes flood warnings may not perform as expected, flood warning science is helping to minimize these occurrences.


Future Lake Development in Deglaciating Mountain Ranges  

Wilfried Haeberli and Fabian Drenkhan

Continued retreat and disappearance of glaciers cause fundamental changes in cold mountain ranges and new landscapes to develop, and the consequences can reach far beyond the still ice-covered areas. A key element is the formation of numerous new lakes where overdeepened parts of glacier beds become exposed. With the first model results from the Swiss Alps around 2010 of distributed glacier thicknesses over entire mountain regions, the derivation of glacier beds as potential future surface topographies became possible. Since then, climate-, water-, and hazard-related quantitative research about future lakes in deglaciating mountains all over the world rapidly evolved. Currently growing and potential future open water bodies are part of new environments in marked imbalance. The surrounding steep icy slopes and peaks are affected by glacial debuttressing and permafrost degradation, with associated long-term stability reduction. This makes the new lakes potential sources of far-reaching floods or debris flows, and they represent serious multipliers of hazards and risks to down-valley humans and their infrastructure. Such hazard and risk aspects are also of primary importance where the lakes potentially connect with hydropower production, freshwater supply, tourism, cultural values, and landscape protection. Planning for sustainable adaptation strategies optimally starts from the anticipation in space and time of possible lake formation in glacier-covered areas by numerical modeling combined with analyses of ice-morphological indications. In a second step, hazards and risks related to worst-case scenarios of possible impact and flood waves must be assessed. These results then define the range of possibilities for use and management of future lakes. Careful weighing of both potential synergies and conflicts is necessary. In some cases, multipurpose projects may open viable avenues for combining solutions related to technical challenges, safety requirements, funding problems, and societal acceptance. Successful implementation of adaptive projects requires early integration of technical-scientific and local knowledge, including the needs and interests of local users and decision makers, into comprehensive, participatory, and long-term planning. A key question is the handling of risks from extreme events with disastrous damage potential and low but increasing probability of occurrence. As future landscapes and lakes develop rapidly and are of considerable socioeconomic and political interest, they present often difficult and complex situations for which solutions must be found soon. Related transdisciplinary work will need to adequately address the sociocultural, economic, and political aspects.


Hydrodynamic Modeling of Urban Flood Flows and Disaster Risk Reduction  

Brett F. Sanders

Communities facing urban flood risk have access to powerful flood simulation software for use in disaster-risk-reduction (DRR) initiatives. However, recent research has shown that flood risk continues to escalate globally, despite an increase in the primary outcome of flood simulation: increased knowledge. Thus, a key issue with the utilization of urban flood models is not necessarily development of new knowledge about flooding, but rather the achievement of more socially robust and context-sensitive knowledge production capable of converting knowledge into action. There are early indications that this can be accomplished when an urban flood model is used as a tool to bring together local lay and scientific expertise around local priorities and perceptions, and to advance improved, target-oriented methods of flood risk communication. The success of urban flood models as a facilitating agent for knowledge coproduction will depend on whether they are trusted by both the scientific and local expert, and to this end, whether the model constitutes an accurate approximation of flood dynamics is a key issue. This is not a sufficient condition for knowledge coproduction, but it is a necessary one. For example, trust can easily be eroded at the local level by disagreements among scientists about what constitutes an accurate approximation. Motivated by the need for confidence in urban flood models, and the wide variety of models available to users, this article reviews progress in urban flood model development over three eras: (1) the era of theory, when the foundation of urban flood models was established using fluid mechanics principles and considerable attention focused on development of computational methods for solving the one- and two-dimensional equations governing flood flows; (2) the era of data, which took form in the 2000s, and has motivated a reexamination of urban flood model design in response to the transformation from a data-poor to a data-rich modeling environment; and (3) the era of disaster risk reduction, whereby modeling tools are put in the hands of communities facing flood risk and are used to codevelop flood risk knowledge and transform knowledge to action. The article aims to inform decision makers and policy makers regarding the match between model selection and decision points, to orient the engineering community to the varied decision-making and policy needs that arise in the context of DRR activities, to highlight the opportunities and pitfalls associated with alternative urban flood modeling techniques, and to frame areas for future research.


Integrating Access and Functional Needs in Community Planning for Natural Hazards  

Nnenia Campbell

Populations that are rendered socially invisible by their relegation to realms that are excluded—either physically or experientially—from the rest of society tend to similarly be left out of community disaster planning, often with dire consequences. Older adults, persons with disabilities, linguistic minorities, and other socially marginalized groups face amplified risks that translate into disproportionately negative outcomes when disasters strike. Moreover, these disparities are often reproduced in the aftermath of disasters, further reinforcing preexisting inequities. Even well-intentioned approaches to disaster service delivery have historically homogenized and segregated distinct populations under the generic moniker of “special needs,” thereby undermining their own effectiveness at serving those in need. The access and functional needs perspective has been promoted within the emergency management field as a practical and inclusive means of accommodating a range of functional capacities in disaster planning. This framework calls for operationalizing needs into specific mechanisms of functional support that can be applied at each stage of the disaster lifecycle. Additionally, experts have emphasized the need to engage advocacy groups, organizations that routinely serve socially marginalized populations, and persons with activity limitations themselves to identify support needs. Incorporating these diverse entities into the planning process can help to build stronger, more resilient communities.


Introduction to Socio-Ecological Resilience  

Vincenzo Bollettino, Tilly Alcayna, Philip Dy, and Patrick Vinck

In recent years, the notion of resilience has grown into an important concept for both scholars and practitioners working on disasters. This evolution reflects a growing interest from diverse disciplines in a holistic understanding of complex systems, including how societies interact with their environment. This new lens offers an opportunity to focus on communities’ ability to prepare for and adapt to the challenges posed by natural hazards, and the mechanism they have developed to cope and adapt to threats. This is important because repeated stresses and shocks still cause serious damages to communities across the world, despite efforts to better prepare for disasters. Scholars from a variety of disciplines have developed resilience frameworks both to guide macro-level policy decisions about where to invest in preparedness and to measure which systems perform best in limiting losses from disasters and ensuring rapid recovery. Yet there are competing conceptions of what resilience encompasses and how best to measure it. While there is a significant amount of scholarship produced on resilience, the lack of a shared understanding of its conceptual boundaries and means of measurement make it difficult to demonstrate the results or impact of resilience programs. If resilience is to emerge as a concept capable of aiding decision-makers in identifying socio-geographical areas of vulnerability and improving preparedness, then scholars and practitioners need to adopt a common lexicon on the different elements of the concept and harmonize understandings of the relationships amongst them and means of measuring them. This article reviews the origins and evolution of resilience as an interdisciplinary, conceptual umbrella term for efforts by different disciplines to tackle complex problems arising from more frequent natural disasters. It concludes that resilience is a useful concept for bridging different academic disciplines focused on this complex problem set, while acknowledging that specific measures of resilience will differ as different units and levels of analysis are employed to measure disparate research questions.


Natural Hazards Governance in Chile  

Vicente Sandoval, Benjamin Wisner, and Martin Voss

The governance of natural hazards in Chile involves how different actors participate in all stages of managing natural hazards and their impacts. This includes monitoring and early warning systems and response to the most significant hazardous events in the country: earthquakes, tsunamis, volcanic eruptions, hydrological and meteorological events, and wildfires. Other general processes, such as disaster recovery, disaster risk reduction (DRR), and political economy and socioenvironmental processes of disaster risk creation are fundamental to understanding the complexity of natural hazard governance. Chile has a long history of disasters linked to its geographical and climatological diversity as well as its history and development path. The country has made significant advances toward an effective disaster risk management (DRM) system, which is backed up by sophisticated monitoring systems for earthquakes, tsunamis, volcanic eruptions, hydro- and meteorological events, and wildfires. These technical advances are integrated with disaster response mechanisms that include trained personnel, regulatory frameworks, institutions, and other actors, all under the direction of the National Emergency Office. The Chilean mode of DRM and DRR is characterized by a centralized, top-down approach that limits the opportunities for community organizations to participate in discussions of DRR and decision-making. It also centralizes planning of post-disaster processes such as reconstruction. Likewise, the dominant politico-economic model of Chile is neoliberalism. This development path has reproduced the root causes of disaster vulnerability through socioeconomic inequalities as well as poorly regulated urbanization and the practices of extractive industries. This has created numerous socioenvironmental conflicts throughout the Chilean territory with sometimes hazardous effects on local communities, especially indigenous groups. The governance of hazards and risk reduction in Chile still has a long way to go to secure the country’s path to sustainable human development.


Ontological Security and Natural Hazards  

Tim Harries

People not only want to be safe from natural hazards; they also want to feel they are safe. Sometimes these two desires pull in different directions, and when they do, this slows the journey to greater physical adaptation and resilience. All people want to feel safe—especially in their own homes. In fact, although not always a place of actual safety, in many cultures “home” is nonetheless idealized as a place of security and repose. The feeling of having a safe home is one part of what is termed ontological security: freedom from existential doubts and the ability to believe that life will continue in much the same way as it always has, without threat to familiar assumptions about time, space, identity, and well-being. By threatening our homes, floods, earthquakes, and similar events disrupt ontological security: they destroy the possessions that support our sense of who we are; they fracture the social structures that provide us with everyday needs such as friendship, play, and affection; they disrupt the routines that give our lives a sense of predictability; and they challenge the myth of our immortality. Such events, therefore, not only cause physical injury and loss; by damaging ontological security, they also cause emotional distress and jeopardize long-term mental health. However, ontological security is undermined not only by the occurrence of hazard events but also by their anticipation. This affects people’s willingness to take steps that would reduce hazard vulnerability. Those who are confident that they can eliminate their exposure to a hazard will usually do so. More commonly, however, the available options come with uncertainty and social/psychological risks: often, the available options only reduce vulnerability, and sometimes people doubt the effectiveness of these options or their ability to choose and implement appropriate measures. In these circumstances, the risk to ontological security that is implied by action can have greater influence than the potential benefits. For example, although installing a floodgate might reduce a business’s flood vulnerability, the business owner might feel that its presence would act as an everyday reminder that the business, and the income derived from it, are not secure. Similarly, bolting furniture to the walls of a home might reduce injuries in the next earthquake, but householders might also anticipate that it would remind them that there is a continual threat to their home. Both of these circumstances describe situations in which the anticipation of future feelings can tap into less conscious anxieties about ontological security. The manner in which people anticipate impacts on ontological security has several implications for preparedness. For example, it suggests that hazard warnings will be counterproductive if they are not accompanied by suggestions of easy, reliable ways of eliminating risk. It also suggests that adaptation measures should be designed not to enhance awareness of the hazard.


Remote Sensing and Physical Modeling of Fires, Floods, and Landslides  

Mahesh Prakash, James Hilton, Claire Miller, Vincent Lemiale, Raymond Cohen, and Yunze Wang

Remotely sensed data for the observation and analysis of natural hazards is becoming increasingly commonplace and accessible. Furthermore, the accuracy and coverage of such data is rapidly improving. In parallel with this growth are ongoing developments in computational methods to store, process, and analyze these data for a variety of geospatial needs. One such use of this geospatial data is for input and calibration for the modeling of natural hazards, such as the spread of wildfires, flooding, tidal inundation, and landslides. Computational models for natural hazards show increasing real-world applicability, and it is only recently that the full potential of using remotely sensed data in these models is being understood and investigated. Some examples of geospatial data required for natural hazard modeling include: • elevation models derived from RADAR and Light Detection and Ranging (LIDAR) techniques for flooding, landslide, and wildfire spread models • accurate vertical datum calculations from geodetic measurements for flooding and tidal inundation models • multispectral imaging techniques to provide land cover information for fuel types in wildfire models or roughness maps for flood inundation studies Accurate modeling of such natural hazards allows a qualitative and quantitative estimate of risks associated with such events. With increasing spatial and temporal resolution, there is also an opportunity to investigate further value-added usage of remotely sensed data in the disaster modeling context. Improving spatial data resolution allows greater fidelity in models allowing, for example, the impact of fires or flooding on individual households to be determined. Improving temporal data allows short and long-term trends to be incorporated into models, such as the changing conditions through a fire season or the changing depth and meander of a water channel.


Risk Governance of Limited-Notice or No-Notice Natural Hazards  

Maria Papathoma-Köhle and Dale Dominey-Howes

The second priority of the Sendai Framework for Disaster Risk Reduction 2015–2030 stresses that, to efficiently manage risk posed by natural hazards, disaster risk governance should be strengthened for all phases of the disaster cycle. Disaster management should be based on adequate strategies and plans, guidance, and inter-sector coordination and communication, as well as the participation and inclusion of all relevant stakeholders—including the general public. Natural hazards that occur with limited-notice or no-notice (LNN) challenge these efforts. Different types of natural hazards present different challenges to societies in the Global North and the Global South in terms of detection, monitoring, and early warning (and then response and recovery). For example, some natural hazards occur suddenly with little or no warning (e.g., earthquakes, landslides, tsunamis, snow avalanches, flash floods, etc.) whereas others are slow onset (e.g., drought and desertification). Natural hazards such as hurricanes, volcanic eruptions, and floods may unfold at a pace that affords decision-makers and emergency managers enough time to affect warnings and to undertake preparedness and mitigative activities. Others do not. Detection and monitoring technologies (e.g., seismometers, stream gauges, meteorological forecasting equipment) and early warning systems (e.g., The Australian Tsunami Warning System) have been developed for a number of natural hazard types. However, their reliability and effectiveness vary with the phenomenon and its location. For example, tsunamis generated by submarine landslides occur without notice, generally rendering tsunami-warning systems inadequate. Where warnings are unreliable or mis-timed, there are serious implications for risk governance processes and practices. To assist in the management of LNN events, we suggest emphasis should be given to the preparedness and mitigation phases of the disaster cycle, and in particular, to efforts to engage and educate the public. Risk and vulnerability assessment is also of paramount importance. The identification of especially vulnerable groups, appropriate land use planning, and the introduction and enforcement of building codes and reinforcement regulations, can all help to reduce casualties and damage to the built environment caused by unexpected events. Moreover, emergency plans have to adapt accordingly as they may differ from the evacuation plans for events with a longer lead-time. Risk transfer mechanisms, such as insurance, and public-private partnerships should be strengthened, and redevelopment should consider relocation and reinforcement of new buildings. Finally, participation by relevant stakeholders is a key concept for the management of LNN events as it is also a central component for efficient risk governance. All relevant stakeholders should be identified and included in decisions and their implementation, supported by good communication before, during, and after natural hazard events. The implications for risk governance of a number of natural hazards are presented and illustrated with examples from different countries from the Global North and the Global South.


Roles of Non-Government Organizations in Disaster Risk Reduction  

Jonatan A. Lassa

The collaborative disaster risk governance framework promises better collaboration between governments, the private sector, civil society, academia, and communities at risks. In the context of modern disaster risk reduction systems, the key triadic institutions, namely government (state), the private sector (business/market), and NGOs (civil society), have been gradually transforming their ecosystem to utilize more proactive disaster response strategies, equipped with professional staff and technical experts and armed with social and humanitarian imperatives to reduce the risks of disasters. While the roles of governments and public actions have received greater attention in disaster and emergency management studies, recent shifts in attention to promote bolder engagements of both non-governmental organizations and business communities in risk reduction can be seen as a necessary condition for the future resilience of society. Historically speaking, NGOs have exercised models of moral imperative whereby they build their relevancy and legitimacy to address gaps and problems at global and local levels. NGOs have been part of the global disaster risk reduction (DRR) ecosystem as they continue to shape both humanitarian emergencies action and the DRR agenda at different levels where their presence is needed and valued and their contribution is uniquely recognized. This article exemplifies the roles of NGOs at different levels and arenas ranging from local to international disaster risk reduction during the last 70 years, especially since World War II. It also provides examples of potential roles of NGOs under the Sendai Framework for Disaster Risk Reduction 2030.