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Long-Term Improvement in Precautions for Flood Risk Mitigation: A Case Study in the Low-Lying Area of Central Vietnam Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2021-01-07 Cong Dinh Nguyen, Fumikazu Ubukata, Quang Tan Nguyen, Hoang Ha Vo
Local actors appear as inseparable components of the integrated flood risk mitigation strategy in Vietnam. Recognizing this fact, this study examined the long-term improvement in precautions taken by commune authorities and households between two major floods in 1999 and 2017 by applying both quantitative and qualitative methods. Two flood-prone villages were selected for a survey; one in a rural area
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Characterizing Uncertainty in City-Wide Disaster Recovery through Geospatial Multi-Lifeline Restoration Modeling of Earthquake Impact in the District of North Vancouver Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-12-02 Andrew Deelstra, David Bristow
Restoring lifeline services to an urban neighborhood impacted by a large disaster is critical to the recovery of the city as a whole. Since cities are comprised of many dependent lifeline systems, the pattern of the restoration of each lifeline system can have an impact on one or more others. Due to the often uncertain and complex interactions between dense lifeline systems and their individual operations
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Development and Social Implementation of Smartphone App Nige-Tore for Improving Tsunami Evacuation Drills: Synergistic Effects Between Commitment and Contingency Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-12-01 Katsuya Yamori, Takashi Sugiyama
This research explored how we can improve tsunami evacuation behavior, which has been a major social issue since the 2011 Great East Japan Earthquake and Tsunami. We introduce Nige-Tore, a smartphone app for supporting tsunami evacuation drills, which was developed within an interdisciplinary research framework. Nige-Tore serves as an effective interface tool that successfully visualizes the dynamic
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Synergistic Integration of Detailed Meteorological and Community Information for Evacuation from Weather-Related Disasters: Proposal of a “Disaster Response Switch” Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-30 Kensuke Takenouchi, Katsuya Yamori
Meteorological information used for disaster prevention has developed rapidly in terms of both type and specificity. The latest forecasting models can predict weather with very high resolutions that can characterize disaster risk at the local level. However, this development can lead to an overdependency on the information and a wait-and-see attitude by the public. At the same time, residents share
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Disaster Risk Management Through the DesignSafe Cyberinfrastructure Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-26 Jean-Paul Pinelli, Maria Esteva, Ellen M. Rathje, David Roueche, Scott J. Brandenberg, Gilberto Mosqueda, Jamie Padgett, Frederick Haan
DesignSafe addresses the challenges of supporting integrative data-driven research in natural hazards engineering. It is an end-to-end data management, communications, and analysis platform where users collect, generate, analyze, curate, and publish large data sets from a variety of sources, including experiments, simulations, field research, and post-disaster reconnaissance. DesignSafe achieves key
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Natural and Socioeconomic Factors and Their Interactive Effects on House Collapse Caused by Typhoon Mangkhut Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-24 Xiangxue Zhang, Juan Nie, Changxiu Cheng, Chengdong Xu, Ling Zhou, Shi Shen, Yuan Pei
Typhoons are an environmental threat that mainly affects coastal regions worldwide. The interactive effects of natural and socioeconomic factors on the losses caused by typhoon disasters need further examination. In this study, GeoDetector was used to quantify the determinant powers of natural and socioeconomic factors and their interactive effects on the rate of house collapse in Guangdong and Guangxi
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A Reverse Dynamical Investigation of the Catastrophic Wood-Snow Avalanche of 18 January 2017 at Rigopiano, Gran Sasso National Park, Italy Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-20 Barbara Frigo, Perry Bartelt, Bernardino Chiaia, Igor Chiambretti, Margherita Maggioni
On 18 January 2017 a catastrophic avalanche destroyed the Rigopiano Gran Sasso Resort & Wellness (Rigopiano Hotel) in the Gran Sasso National Park in Italy, with 40 people trapped and a death toll of 29. This article describes the location of the disaster and the general meteorological scenario, with field investigations to provide insight on the avalanche dynamics and its interaction with the hotel
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Uncertainty Reduction Through Data Management in the Development, Validation, Calibration, and Operation of a Hurricane Vulnerability Model Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-20 Jean-Paul Pinelli, Josemar Da Cruz, Kurtis Gurley, Andres Santiago Paleo-Torres, Mohammad Baradaranshoraka, Steven Cocke, Dongwook Shin
Catastrophe models estimate risk at the intersection of hazard, exposure, and vulnerability. Each of these areas requires diverse sources of data, which are very often incomplete, inconsistent, or missing altogether. The poor quality of the data is a source of epistemic uncertainty, which affects the vulnerability models as well as the output of the catastrophe models. This article identifies the different
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Naïve Bayes Classifier for Debris Flow Disaster Mitigation in Mount Merapi Volcanic Rivers, Indonesia, Using X-band Polarimetric Radar Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-19 Ratih Indri Hapsari, Bima Ahida Indaka Sugna, Dandung Novianto, Rosa Andrie Asmara, Satoru Oishi
Debris flow triggered by rainfall that accompanies a volcanic eruption is a serious secondary impact of a volcanic disaster. The probability of debris flow events can be estimated based on the prior information of rainfall from historical and geomorphological data that are presumed to relate to debris flow occurrence. In this study, a debris flow disaster warning system was developed by applying the
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COVID-19 and Ecosyndemic Vulnerability: Implications for El Niño-Sensitive Countries in Latin America Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-13 Ivan J. Ramírez, Jieun Lee
Latin America has emerged as an epicenter of the COVID-19 pandemic. Brazil, Peru, and Ecuador report some of the highest COVID-19 rates of incidence and deaths in the region. These countries also face synergistic threats from multiple infectious diseases (that is, ecosyndemic) and quasi-periodic El Niño-related hazards every few years. For example, Peru, which is highly sensitive to El Niño, already
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Extracting Natech Reports from Large Databases: Development of a Semi-Intelligent Natech Identification Framework Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-06 Xiaolong Luo, Ana Maria Cruz, Dimitrios Tzioutzios
Natural hazard-triggered technological accidents (Natechs) refer to accidents involving releases of hazardous materials (hazmat) triggered by natural hazards. Huge economic losses, as well as human health and environmental problems are caused by Natechs. In this regard, learning from previous Natechs is critical for risk management. However, due to data scarcity and high uncertainty concerning such
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Social Vulnerability Factors and Reported Post-Disaster Needs in the Aftermath of Hurricane Florence Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-03 Julia Crowley
This research examines the relationship between social vulnerability factors and reported needs following Hurricane Florence. Weighted least squares regression models were used to identify predictor variables for valid registrations that reported needs pertaining to emergencies, food, and shelter. Data consisted of zip codes in North Carolina and South Carolina that received individual assistance for
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Effects of Rainfall and Underlying Surface on Flood Recession—The Upper Huaihe River Basin Case Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-02 Yashan Cheng, Yanfang Sang, Zhonggen Wang, Yuhan Guo, Yin Tang
The effects of rainfall and underlying surface conditions on flood recession processes are a critical issue for flood risk reduction and water use in a region. In this article, we examined and clarified the issue in the upper Huaihe River Basin where flood disasters frequently occur. Data on 58 rainstorms and flooding events at eight watersheds during 2006–2015 were collected. An exponential equation
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Remote Sensing Based Rapid Assessment of Flood Crop Damage Using Novel Disaster Vegetation Damage Index (DVDI) Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-11-02 Md. Shahinoor Rahman, Liping Di, Eugene Yu, Li Lin, Zhiqi Yu
Accurate crop-specific damage assessment immediately after flood events is crucial for grain pricing, food policy, and agricultural trade. The main goal of this research is to estimate the crop-specific damage that occurs immediately after flood events by using a newly developed Disaster Vegetation Damage Index (DVDI). By incorporating the DVDI along with information on crop types and flood inundation
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Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-30 Carolin Klonner, Tomás J. Usón, Nicole Aeschbach, Bernhard Höfle
A rise in the number of flood-affected people and areas has increased the interest in new methods and concepts that account for this change. Citizens are integrated into disaster risk reduction processes through participatory approaches and can provide valuable up-to-date local knowledge. During a field study in Eberbach (Baden–Wuerttemberg, Germany) sketch maps and questionnaires were used to capture
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Spatiotemporal Trend Analysis of Precipitation Extremes in Ho Chi Minh City, Vietnam During 1980–2017 Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-30 Nguyen Trong Quan, Dao Nguyen Khoi, Nguyen Xuan Hoan, Nguyen Ky Phung, Thanh Duc Dang
In this study, the spatiotemporal variability of trends in extreme precipitation events in Ho Chi Minh City during the period 1980–2017 was analyzed based on several core extreme precipitation indices (Rx1day, Rx5day, CDD, CWD, R20mm, R25mm, R95p, and SDII). The non-parametric Mann–Kendall and Sen’s slope methods were used to compute the statistical strength, stability, and magnitude of trends in annual
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Perceived Adverse Effects of Separating Government Institutions for Disaster Risk Reduction and Climate Change Adaptation Within the Southern African Development Community Member States Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-23 Livhuwani D. Nemakonde, Dewald Van Niekerk, Per Becker, Sizwile Khoza
Integration of disaster risk reduction (DRR) and climate change adaptation (CCA) is widely recognized as a solution for reducing the risk and impacts of disasters. However, successful integration seems elusive, and the two goals continue to function in isolation and in parallel. This article provides empirical insights into the perceived effects of separating government institutions for DRR and CCA
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Seismic Policy, Operations, and Research Uses for a Building Inventory in an Earthquake-Prone City Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-22 Ken Elwood, Olga Filippova, Ilan Noy, Jacob Pastor Paz
After the 2016 New Zealand Kaikoura Earthquake, the absence of information about the state of buildings in Wellington proved to be a source of significant policy uncertainty. Authorities did not know what damages to expect and therefore how to react, and policies needed to be formulated without a clear quantification of the risks. Moreover, without detailed knowledge of the existing buildings, it was
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An Inquiry into Success Factors for Post-disaster Housing Reconstruction Projects: A Case of Kerala, South India Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-15 Shyni Anilkumar, Haimanti Banerji
The 2004 Indian Ocean Tsunami triggered significant destruction to housing and related infrastructures across various coastal districts of south India. Research shows that tsunami reconstruction projects in Kerala experienced different degrees of success and failure. On this background, this study explored factors that contributed to the successful implementation of tsunami housing projects in Kerala
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Public Risk Perception Attitude and Information-Seeking Efficacy on Floods: A Formative Study for Disaster Preparation Campaigns and Policies Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-12 Do Kyun David Kim, T. Phillip Madison
Floods are among the most frequent and devastating natural hazards and disasters in many southern states in the United States. This study examined the relationship and reciprocal predictability between two theoretical constructs—risk perception attitude (RPA) and information-seeking efficacy (ISE)—in regard to pluvial floods. In addition, this study extended these theoretical constructs to investigate
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Perception of Disasters and Land Reclamation in an Informal Settlement on Reclaimed Land: Case of the BASECO Compound, Manila, the Philippines Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-06 Ven Paolo Bruno Valenzuela, Miguel Esteban, Motoharu Onuki
Southeast Asia’s coastal urban areas continue to grow, with land reclamation fast becoming an important option for megacities to address issues of economic growth and increasing population density. Experts are divided over the advantages and disadvantages of land reclamation, though this process continues unabated, exposing settlements to coastal hazards. The Bataan Shipping and Engineering Company
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A Dynamic Emergency Decision-Making Method Based on Group Decision Making with Uncertainty Information Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-10-08 Jing Zheng, Yingming Wang, Kai Zhang, Juan Liang
In emergency decision making (EDM), it is necessary to generate an effective alternative quickly. Case-based reasoning (CBR) has been applied to EDM; however, choosing the most suitable case from a set of similar cases after case retrieval remains challenging. This study proposes a dynamic method based on case retrieval and group decision making (GDM), called dynamic case-based reasoning group decision
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Resilience-Driven Road Network Retrofit Optimization Subject to Tropical Cyclones Induced Roadside Tree Blowdown Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-09-28 Fuyu Hu, Saini Yang, Russell G. Thompson
This article focuses on decision making for retrofit investment of road networks in order to alleviate severe consequences of roadside tree blowdown during tropical cyclones. The consequences include both the physical damage associated with roadside trees and the functional degradation associated with road networks. A trilevel, two-stage, and multiobjective stochastic mathematical model was developed
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Multi-Sectoral Reflections and Efforts in Strengthening Partnerships to Reduce Disaster Risk in Mexico: The First MuSe-IDRiM Conference Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-09-28 Irasema Alcántara-Ayala, Daniel Rodríguez-Velázquez, Ricardo J. Garnica-Peña, Alejandra Maldonado-Martínez
Notwithstanding the high societal impact of disasters in Mexico, there is a lack of integrated efforts to establish a sound policy for reducing disaster risk to counterbalance the existing concentrated endeavors in disaster management. In the face of such segmentation, the science and technology community has advocated for a change of perspective, from civil protection to integrated disaster risk management
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Quick Response Disaster Research: Opportunities and Challenges for a New Funding Program Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-09-18 Greg Oulahen, Brennan Vogel, Chris Gouett-Hanna
Quick response research conducted by social scientists in the aftermath of a disaster can reveal important findings about hazards and their impacts on communities. Research to collect perishable data, or data that will change or be lost over time, immediately following disaster has been supported for decades by two programs in the United States, amassing a collection of quick response studies and an
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The Neglected Role of Risk Mitigation Perception in the Risk Governance of Underground Technologies—The Example of Induced Seismicity Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-09-16 Lisa Haemmerli, Michael Stauffacher
Subsurface technologies, such as geothermal energy and carbon capture and storage, are options to help limit global warming. Subsurface technologies involve the risk of induced seismicity. The successful implementation of these technologies depends on the public perception of these risks. Risk governance frameworks propose assessing the level of public concern and designing adapted risk mitigation
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Variability in Regional Ecological Vulnerability: A Case Study of Sichuan Province, China Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-09-03 Yimeng Liu, Saini Yang, Chuanliang Han, Wei Ni, Yuyao Zhu
Rapid urbanization and natural hazards are posing threats to local ecological processes and ecosystem services worldwide. Using land use, socioeconomic, and natural hazards data, we conducted an assessment of the ecological vulnerability of prefectures in Sichuan Province for the years 2005, 2010, and 2015 to capture variations in its capacity to modulate in response to disturbances and to explore
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Disaster Risk Science: A Geographical Perspective and a Research Framework Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-08-21 Peijun Shi; Tao Ye; Ying Wang; Tao Zhou; Wei Xu; Juan Du; Jing’ai Wang; Ning Li; Chongfu Huang; Lianyou Liu; Bo Chen; Yun Su; Weihua Fang; Ming Wang; Xiaobin Hu; Jidong Wu; Chunyang He; Qiang Zhang; Qian Ye; Carlo Jaeger; Norio Okada
In this article, we recall the United Nations’ 30-year journey in disaster risk reduction strategy and framework, review the latest progress and key scientific and technological questions related to the United Nations disaster risk reduction initiatives, and summarize the framework and contents of disaster risk science research. The object of disaster risk science research is the “disaster system”
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Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-08-18 Chuanliang Han; Yimeng Liu; Jiting Tang; Yuyao Zhu; Carlo Jaeger; Saini Yang
The first phase of the novel coronavirus disease (COVID-19) that emerged at the end of 2019 has been brought under control in the mainland of China in March, while it is still spreading globally. When the pandemic will end is a question of great concern. A logistic model that depicts the growth rules of infected and recovered cases in China’s mainland may shed some light on this question. This model
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New Partnerships for Co-delivery of the 2030 Agenda for Sustainable Development Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-08-10 Adrian Bucher, Andrew Collins, Ben Heaven Taylor, David Pan, Emma Visman, James Norris, Joel C. Gill, John Rees, Mark Pelling, Marta Tufet Bayona, Sonia Cassidy, Virginia Murray
Partnerships have become a corner stone of contemporary research that recognizes working across disciplines and co-production with intended users as essential to enabling sustainable resilience-building. Furthermore, research that addresses sustainable development challenges brings an urgent need to reflect on the ways that partnerships are supported, and for the disaster risk management and resilience
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Seismic Risk Assessment of the Railway Network of China’s Mainland Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-08-07 Weihua Zhu; Kai Liu; Ming Wang; Elco E. Koks
Earthquakes pose a great risk to railway systems and services around the world. In China alone, earthquakes caused 88 rail service disruptions between 2012 and 2019. Here, we present a first-of-its-kind methodology to analyze the seismic risk of a railway system using an empirically derived train service fragility curve. We demonstrate our methodology using the Chinese railway system. In doing so,
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An Empirical Exploration of the Capabilities of People with Disabilities in Coping with Disasters Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-30 Khanh That Ton, J C Gaillard, Carole Adamson, Caglar Akgungor, Ha Thanh Ho
While the capability approach is increasingly being adopted for evaluating well-being and social justice in the field of human development, this approach in disaster research has remained scarce. This research thus seeks to address the disaster risk that humans face through a lens of capabilities, with a focus on the lives of people with disabilities. A multi-case study approach was adopted and two
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Wind Erosion Climate Change in Northern China During 1981–2016 Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-28 Feng Zhang; Jing’ai Wang; Xueyong Zou; Rui Mao; Daoyi Gong; Xingya Feng
Wind erosion is largely controlled by climate conditions. In this study, we examined the influences of changes in wind speed, soil wetness, snow cover, and vegetation cover related to climate change on wind erosion in northern China during 1981–2016. We used the wind erosion force, defined as wind factor in the Revised Wind Erosion Equation Model, to describe the effect of wind speed on wind erosion
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Closing the Gaps in Disaster Management and Response: Drawing on Local Experiences with Cyclone Idai in Chimanimani, Zimbabwe Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-27 Nelson Chanza, Pakama Q. Siyongwana, Leizel Williams-Bruinders, Veronica Gundu-Jakarasi, Chipo Mudavanhu, Vusomuzi B. Sithole, Albert Manyani
Cyclone Idai in Zimbabwe exposed deficiencies in the country’s disaster management system. This study uses a phenomenological case exploration of the experiences of local residents in Rusitu Valley following cyclone-induced floods that affected the area in March 2019. Through capturing narratives of participants who were recruited through chain referrals, the research intends to understand how local
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How Can We Make Disaster Management Evaluations More Useful? An Empirical Study of Dutch Exercise Evaluations Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-10 Ralf Josef Johanna Beerens, Henrik Tehler, Ben Pelzer
The evaluation of simulated disasters (for example, exercises) and real responses are important activities. However, little attention has been paid to how reports documenting such events should be written. A key issue is how to make them as useful as possible to professionals working in disaster risk management. Here, we focus on three aspects of a written evaluation: how the object of the evaluation
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Critiquing and Joining Intersections of Disaster, Conflict, and Peace Research Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-10 Laura E. R. Peters, Ilan Kelman
Disaster research, conflict research, and peace research have rich and deep histories, yet they do not always fully intersect or learn from each other, even when they investigate if and how disasters lead to conflict or peace. Scholarship has tended to focus on investigating causal linkages between disaster (including those associated with climate change) and conflict, and disaster diplomacy emerged
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Intensive Versus Extensive Events? Insights from Cumulative Flood-Induced Mortality Over the Globe, 1976–2016 Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-10 Bo Chen; Fanya Shi; Tingting Lin; Peijun Shi; Jing Zheng
More attention has been paid to the cost of intensive but sporadic floods than the cost of extensive but frequent events. To examine the impacts of intensive versus extensive events, we investigated the loss structure of global flood-induced mortality by using the cumulative loss ratio, marginal benefit chart, and cumulative loss plot. Drawing on the flood-induced mortality data for four decades (1976–2016)
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Rainfall-Related Weather Indices for Three Main Crops in China Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-07-07 Jing Zhang; Zhao Zhang; Fulu Tao
Rainfall-related hazards—deficit rain and excessive rain—inevitably stress crop production, and weather index insurance is one possible financial tool to mitigate such agro-metrological losses. In this study, we investigated where two rainfall-related weather indices—anomaly-based index (AI) and humidity-based index (HI)—could be best used for three main crops (rice, wheat, and maize) in China’s main
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Linkages Between Tropical Cyclones and Extreme Precipitation over China and the Role of ENSO Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-06-30 Licheng Wang; Zhengnan Yang; Xihui Gu; Jianfeng Li
This research investigated the linkages between tropical cyclones (TCs) and extreme precipitation, and their associations with El Niño-Southern Oscillation (ENSO) over China. The contribution of TC-induced to total extreme precipitation events along the southeast coast of China was higher than 50%, and the values gradually decreased as TCs moved inland. However, the precipitation extremes (magnitude
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Supply–Demand Analysis of Urban Emergency Shelters Based on Spatiotemporal Population Estimation Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-06-25 Xiaodong Zhang; Jia Yu; Yun Chen; Jiahong Wen; Jiayan Chen; Zhan’e Yin
Supply–demand analysis is an important part of the planning of urban emergency shelters. Using Pudong New Area, Shanghai, China as an example, this study estimated daytime and nighttime population of the study area based on fine-scale land use data, census data, statistical yearbook information, and Tencent user-density big data. An exponential function-based, probability density estimation method
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Evacuating a First Nation Due to Wildfire Smoke: The Case of Dene Tha’ First Nation Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-06-12 Kyla D. Mottershead; Tara K. McGee; Amy Christianson
Almost every year, First Nations are evacuated in Canada because of wildfire proximity and smoke. Dynamics of wildfires, and remote locations, unique sociocultural characteristics, and limited emergency management resources present challenges for evacuation organizers and residents. This study explores how Dene Tha’ First Nation evacuated their Taché community in July 2012 due to wildfire smoke and
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Modified Usability Framework for Disaster Apps: A Qualitative Thematic Analysis of User Reviews Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-06-03 Marion Lara Tan, Raj Prasanna, Kristin Stock, Emma E. H. Doyle, Graham Leonard, David Johnston
The public has access to a range of mobile applications (apps) for disasters. However, there has been limited academic research conducted on disaster apps and how the public perceives their usability. This study explores end-users’ perceptions of the usability of disaster apps. It proposes a conceptual framework based on insights gathered from thematically analyzing online reviews. The study identifies
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Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-26 Mahdi Farnaghi; Zeinab Ghaemi; Ali Mansourian
Extracting information about emerging events in large study areas through spatiotemporal and textual analysis of geotagged tweets provides the possibility of monitoring the current state of a disaster. This study proposes dynamic spatio-temporal tweet mining as a method for dynamic event extraction from geotagged tweets in large study areas. It introduces the use of a modified version of ordering points
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Evaluation of Fire Service Command Unit Trainings Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-25 Meinald T. Thielsch; Dzenita Hadzihalilovic
The lack of routine and training of command units and emergency managers is among the main causes of suboptimal decisions and could lead to serious consequences. To ensure optimal standards of emergency management training, specific and valid evaluation tools are needed—but are lacking. Thus, the present study’s purpose is to validate instruments for the evaluation of tactical and strategic leader
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Linking a Storm Water Management Model to a Novel Two-Dimensional Model for Urban Pluvial Flood Modeling Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-25 Yuhan Yang; Leifeng Sun; Ruonan Li; Jie Yin; Dapeng Yu
This article describes a new method of urban pluvial flood modeling by coupling the 1D storm water management model (SWMM) and the 2D flood inundation model (ECNU Flood-Urban). The SWMM modeling results (the overflow of the manholes) are used as the input boundary condition of the ECNU Flood-Urban model to simulate the rainfall–runoff processes in an urban environment. The analysis is applied to the
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Remembering, Forgetting, and Absencing Disasters in the Post-disaster Recovery Process Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-20 Charlotte Monteil; Jenni Barclay; Anna Hicks
Sustainable post-disaster recovery implies learning from past experience in order to prevent recreating forms of vulnerability. Memory construction supports both the healing process and redevelopment plans. Hence, memory of disaster results from the balance between remembering, forgetting, and absencing elements of the disaster, and can be both a tool and an obstacle to sustainable recovery. We explore
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A Likert Scale-Based Model for Benchmarking Operational Capacity, Organizational Resilience, and Disaster Risk Reduction Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-19 Gianluca Pescaroli; Omar Velazquez; Irasema Alcántara-Ayala; Carmine Galasso; Patty Kostkova; David Alexander
Likert scales are a common methodological tool for data collection used in quantitative or mixed-method approaches in multiple domains. They are often employed in surveys or questionnaires, for benchmarking answers in the fields of disaster risk reduction, business continuity management, and organizational resilience. However, both scholars and practitioners may lack a simple scale of reference to
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Reviewing the Oceanic Niño Index (ONI) to Enhance Societal Readiness for El Niño’s Impacts Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-18 Michael H. Glantz; Ivan J. Ramirez
NOAA’s Oceanic Niño Index (ONI) is used to record for historical purposes the occurrence and duration of El Niño episodes, based on the monitoring of sea surface temperatures (SSTs) in the central Pacific Ocean. The ONI is used to identify the onset of an above average SST threshold that persists for several months, encompassing both the beginning and end of an El Niño episode. The first appearance
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Barriers to Insurance as a Flood Risk Management Tool: Evidence from a Survey of Property Owners Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-05-04 Jason Thistlethwaite; Daniel Henstra; Craig Brown; Daniel Scott
By using risk-adjusted price signals to transfer responsibility for property-level flood protection and recovery from governments to property owners, flood insurance represents a key tenet of the flood risk management (FRM) paradigm. The Government of Canada has worked with insurers to introduce flood insurance for the first time as a part of a broader shift towards FRM to limit the growing costs of
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Health Emergency and Disaster Risk Management: Five Years into Implementation of the Sendai Framework Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-30 Natalie Wright; Lucy Fagan; Jostacio M. Lapitan; Ryoma Kayano; Jonathan Abrahams; Qudsia Huda; Virginia Murray
The Sendai Framework for Disaster Risk Reduction 2015–2030 recognizes health at the heart of disaster risk management (DRM) at the global policy level. Five years on, it has catalyzed the rapid development of the field of Health Emergency and Disaster Risk Management (Health EDRM) by providing a mandate for building partnerships as well as enhancing scientific research. Key milestones achieved include
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The Challenging Place of Natural Hazards in Disaster Risk Reduction Conceptual Models: Insights from Central Africa and the European Alps Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-28 Caroline Michellier; Patrick Pigeon; André Paillet; Théodore Trefon; Olivier Dewitte; François Kervyn
Based on a literature review and two case studies, this article presents the difficulties inherent in the main disaster risk reduction conceptual models. The method used to highlight such evidence is to compare two programs on disaster risk reduction with mainstream conceptual models. The authors participated in these programs, which were confronted with the need to integrate contributions and insights
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Progress Toward Implementing the Sendai Framework, the Paris Agreement, and the Sustainable Development Goals: Policy from Aotearoa New Zealand Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-23 Wendy S. A. Saunders; Scott Kelly; Suzanne Paisley; Larissa B. Clarke
In 2015, Aotearoa New Zealand became a signatory to the Sendai Framework for Disaster Risk Reduction 2015–2030 (Sendai Framework), the Paris Climate Change Agreement (Paris Agreement), and the Sustainable Development Goals (SDGs). Since 2017 Aotearoa New Zealand has been undergoing governance reform to realign priorities and to improve the management of natural hazards and climate change. The aim of
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The Sendai Framework for Disaster Risk Reduction at Five: Lessons from the 2011 Great East Japan Earthquake and Tsunami Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-20 Elizabeth Maly; Anawat Suppasri
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) represents an inclusive approach to disaster risk reduction, linked to development and recovery. Building on previous international guidelines, the SFDRR promotes practical and measurable outcomes for reducing disaster losses, including indicators to measure progress towards seven specific global targets. Evaluated in the context of
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Five Years Later: Assessing the Implementation of the Four Priorities of the Sendai Framework for Inclusion of People with Disabilities Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-20 DeeDee Bennett
Efforts to reduce disaster risk around the world should purposefully consider the needs of potentially vulnerable populations, including people with disabilities. The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) is one of the few global disaster-related frameworks with a focus on people with disabilities. The objective of this article is to assess the inclusion of people with disabilities
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Sendai Five Years on: Reflections on the Role of International Law in the Creation and Reduction of Disaster Risk Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-20 Marie Aronsson-Storrier
This article offers a critical examination of the position of the Sendai Framework for Disaster Risk Reduction 2015–2030 within international law. It is argued that any interrogation into the relationship between international law and disaster risk reduction (DRR) must begin not with existing DRR laws and policies, but rather with an enquiry into the nature of disaster risk and the role of international
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Implementing the Sendai Framework in Africa: Progress Against the Targets (2015–2018) Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-15 Dewald van Niekerk; Christo Coetzee; Livhuwani Nemakonde
Five years after almost all African states signed the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR), disasters still have a significant impact on the populations of Africa, their livelihoods, and the infrastructure on which they depend. In contrast with the period of the Hyogo Framework for Action 2005–2015, African countries not only adopted the SFDRR but also internalized the various
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“What is a Sociologist Doing Here?” An Unconventional People-Centered Approach to Improve Warning Implementation in the Sendai Framework for Disaster Risk Reduction Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-15 Victor Marchezini
The Sendai Framework for Disaster Risk Reduction 2015–2030 recommends several actions for early warning systems (EWSs). However, there is a lack of information about their means of implementation. This article used institutional ethnography to analyze the 2012–2018 implementation of a national warning system in Brazil. The challenges related to daily activities, and the interdisciplinary works in the
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Thirty Years of Science, Technology, and Academia in Disaster Risk Reduction and Emerging Responsibilities Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-09 Rajib Shaw
The 1990 initiation of the International Decade for Natural Disaster Reduction marked its 30th year in 2019. The three decades since then have seen significant developments in science and technology and their incorporation into the decision making in the field of disaster risk reduction. The disasters that have occurred during that time have enhanced the importance of the field, and new research and
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Five Years Beyond Sendai—Can We Get Beyond Frameworks? Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-04-09 Ben Wisner
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) and its implementation is evaluated after its first five years. A dozen questions that the author and a colleague used in their evaluation of the Hyogo Framework for Action 2005–2015 (HFA) are repeated. Improvements are noted in relation to possible coherence and alignment with other components of the Post-2015 Agenda, especially as
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Potential Linkages Between Social Capital, Flood Risk Perceptions, and Self-Efficacy Int. J. Disaster Risk Sci. (IF 2.048) Pub Date : 2020-03-16 Paul Hudson; Liselotte Hagedoorn; Philip Bubeck
A growing focus is being placed on both individuals and communities to adapt to flooding as part of the Sendai Framework for Disaster Risk Reduction 2015–2030. Adaptation to flooding requires sufficient social capital (linkages between members of society), risk perceptions (understanding of risk), and self-efficacy (self-perceived ability to limit disaster impacts) to be effective. However, there is