Tetsuya Nakamura, S. Lloyd, A. Maruyama, S. Masuda
This study examines the results of an online survey of Fukushima residents on their impressions of the reconstruction process ten years after the 2011 Great East Japan Earthquake. It aims to gauge the levels of approval and satisfaction that participants have with support for survivors, housing and community reconstruction, industrial and livelihood regeneration, efforts to decontaminate “difficult to return” zones, measures taken to counter harmful rumors, and the use of the reconstruction budget. The key findings are that many participants found little to be satisfied with after the disaster and that the most critical groups were those who had been directly affected by the disaster and older people. Actions that were seen as successful included provision of public emergency housing, the use of the media in counteracting rumors, the opening of major transport links, and efforts to restore agricultural activities. Going forward, the participants were most concerned about whether support for isolated elderly people would continue and whether long-term medical, emotional, and financial support would continue for survivors.
{"title":"Public Evaluation of the Reconstruction and Regeneration of Fukushima 10 Years After the Earthquake","authors":"Tetsuya Nakamura, S. Lloyd, A. Maruyama, S. Masuda","doi":"10.20965/jdr.2023.p0162","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0162","url":null,"abstract":"This study examines the results of an online survey of Fukushima residents on their impressions of the reconstruction process ten years after the 2011 Great East Japan Earthquake. It aims to gauge the levels of approval and satisfaction that participants have with support for survivors, housing and community reconstruction, industrial and livelihood regeneration, efforts to decontaminate “difficult to return” zones, measures taken to counter harmful rumors, and the use of the reconstruction budget. The key findings are that many participants found little to be satisfied with after the disaster and that the most critical groups were those who had been directly affected by the disaster and older people. Actions that were seen as successful included provision of public emergency housing, the use of the media in counteracting rumors, the opening of major transport links, and efforts to restore agricultural activities. Going forward, the participants were most concerned about whether support for isolated elderly people would continue and whether long-term medical, emotional, and financial support would continue for survivors.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47466230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Kanno, Mizuki Umemoto, Chie Ishida, Aya Iguchi, Risa Okada, Takayuki Kanesaka
This paper presents a nationwide survey about how Japanese home-visit nursing stations prepared and coped with the coronavirus disease 2019 COVID-19 pandemic. This study also aimed to provide a practical foundation and guide to develop business continuity plans (BCPs) for home-visit nursing stations and nursing care facilities to cope with pandemics. We applied a resource-focused BCP framework to efficiently collect and summarize knowledge and experiences from many facilities about the responses and countermeasures based on the three fundamental purposes to keep resources: prevent loss, promote increase, and utilize limited resources. We conducted a survey during Japan’s third wave of the COVID-19 pandemic and analyzed the responses using a qualitative and inductive content analysis method. We could develop categories to summarize various responses and countermeasures in a consistent and comprehensive manner. Based on the analysis results, we proposed six fundamental sub-plans to reorganize resource-focused BCP. The categorization and sub-plans are not special or innovative; however, since they focus only on resources and explain what we need to consider in BCPs in terms of action plans for resources, we expect that it is easier for BCP non-experts to understand the concept and utilize it for developing practical responses and countermeasures.
{"title":"Collective Knowledge and Experience for Resource-Focused Business Continuity Plans Foundation: Survey on How Home-Visit Nursing Operators in Japan Coped with the COVID-19 Pandemic","authors":"T. Kanno, Mizuki Umemoto, Chie Ishida, Aya Iguchi, Risa Okada, Takayuki Kanesaka","doi":"10.20965/jdr.2023.p0137","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0137","url":null,"abstract":"This paper presents a nationwide survey about how Japanese home-visit nursing stations prepared and coped with the coronavirus disease 2019 COVID-19 pandemic. This study also aimed to provide a practical foundation and guide to develop business continuity plans (BCPs) for home-visit nursing stations and nursing care facilities to cope with pandemics. We applied a resource-focused BCP framework to efficiently collect and summarize knowledge and experiences from many facilities about the responses and countermeasures based on the three fundamental purposes to keep resources: prevent loss, promote increase, and utilize limited resources. We conducted a survey during Japan’s third wave of the COVID-19 pandemic and analyzed the responses using a qualitative and inductive content analysis method. We could develop categories to summarize various responses and countermeasures in a consistent and comprehensive manner. Based on the analysis results, we proposed six fundamental sub-plans to reorganize resource-focused BCP. The categorization and sub-plans are not special or innovative; however, since they focus only on resources and explain what we need to consider in BCPs in terms of action plans for resources, we expect that it is easier for BCP non-experts to understand the concept and utilize it for developing practical responses and countermeasures.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46391784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Based on the lessons learned from past disasters, the Japanese Ministry of Health, Labour and Welfare has notified the establishment of disaster base hospitals and ensured medical care continuity based on business continuity plan (BCP). Following these, we created a disaster management training program with 45 items, the Disaster Mitigation (Gensai) Calendar for Healthcare Disaster Management Guide (HDMG)* (“Gensai Calendar”) in 2018. Thereafter, a three-year multicenter project was launched at the Tokyo Metropolitan Hospital Organization to introduce the “Gensai Calendar” and assess its merits as a self-learning material through tests based on it. The project also aimed at establishing a common operating procedure (COOP) for medical continuity at affected healthcare facilities using annual comprehensive disaster drills. The numbers of participants and hospitals recruited for the test over the three-year period were 4,281 in six hospitals, 6,179 in ten hospitals, and 6,216 in seven hospitals. The total of 55 questions were asked in the e-learning format in the first and second years, and 11 in the third year. Questions with less than 70% correct rate were same for three years. Through the drills, a COOP flow diagram was constructed based on the initial responses in the wards. Furthermore, the crisis management system of each hospital was unified, and each BCP was revised into a standard document along the “COOP Flow Diagram.” A COOP system combining the “Gensai Calendar” learnings, annual “COOP Flow Diagram” drill, and standard documentation can be a viable system for medical continuity. This system could also be versatile and introduced to many healthcare facilities. * This is also the abbreviation for the Hiroo Disaster Management Group, which has a double meaning. The group consists of disaster prevention staff from the Tokyo Metropolitan Hiroo Hospital, Komagome Hospital, and Bokutoh Hospital, and is responsible for planning and managing disaster mitigation measures.
{"title":"Report on the Project on the Implementation of Continuity Operations in Disaster-Affected Healthcare Facilities Using Gensai Calendar HDMG and COOP Flow Diagram","authors":"Yasushi Nakajima, Akane Yoshida, Tsuyoshi Kato","doi":"10.20965/jdr.2023.p0114","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0114","url":null,"abstract":"Based on the lessons learned from past disasters, the Japanese Ministry of Health, Labour and Welfare has notified the establishment of disaster base hospitals and ensured medical care continuity based on business continuity plan (BCP). Following these, we created a disaster management training program with 45 items, the Disaster Mitigation (Gensai) Calendar for Healthcare Disaster Management Guide (HDMG)* (“Gensai Calendar”) in 2018. Thereafter, a three-year multicenter project was launched at the Tokyo Metropolitan Hospital Organization to introduce the “Gensai Calendar” and assess its merits as a self-learning material through tests based on it. The project also aimed at establishing a common operating procedure (COOP) for medical continuity at affected healthcare facilities using annual comprehensive disaster drills. The numbers of participants and hospitals recruited for the test over the three-year period were 4,281 in six hospitals, 6,179 in ten hospitals, and 6,216 in seven hospitals. The total of 55 questions were asked in the e-learning format in the first and second years, and 11 in the third year. Questions with less than 70% correct rate were same for three years. Through the drills, a COOP flow diagram was constructed based on the initial responses in the wards. Furthermore, the crisis management system of each hospital was unified, and each BCP was revised into a standard document along the “COOP Flow Diagram.” A COOP system combining the “Gensai Calendar” learnings, annual “COOP Flow Diagram” drill, and standard documentation can be a viable system for medical continuity. This system could also be versatile and introduced to many healthcare facilities.\u0000 * This is also the abbreviation for the Hiroo Disaster Management Group, which has a double meaning. The group consists of disaster prevention staff from the Tokyo Metropolitan Hiroo Hospital, Komagome Hospital, and Bokutoh Hospital, and is responsible for planning and managing disaster mitigation measures.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42197030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shunichi Tada, Kento Wakayama, T. Kanno, Yuji Kawase, K. Furuta
This paper developed a new framework for better knowledge management through computational simulations, enabling both human knowledge creation and updating simulation models. The framework was developed based on the concepts of the socialization, externalization, combination, and internalization (SECI) model, and it contains a structured workshop that includes the four types of Ba the model requires. To evaluate this framework, the planning of post-disaster restoration of water distribution networks was employed as a case study. In addition, a new optimization method was developed using empirical heuristics obtained from practitioners, aiming for meaningful feedback from the practitioners working in a water management company. Based on our simulation, three workshops were conducted to create new knowledge, and new features were added to the simulation. In these workshops, practitioners performed simulation-based training in planning the restoration and then discussed their decisions. Afterward, it was concluded that the proposed framework was sufficient for updating the simulation. However, it required additional methods to provide practitioners with opportunities to obtain new insights.
{"title":"Co-Evolution Framework Between Humans and Simulations: Planning Post-Disaster Restoration of a Water Distribution Network","authors":"Shunichi Tada, Kento Wakayama, T. Kanno, Yuji Kawase, K. Furuta","doi":"10.20965/jdr.2023.p0089","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0089","url":null,"abstract":"This paper developed a new framework for better knowledge management through computational simulations, enabling both human knowledge creation and updating simulation models. The framework was developed based on the concepts of the socialization, externalization, combination, and internalization (SECI) model, and it contains a structured workshop that includes the four types of Ba the model requires. To evaluate this framework, the planning of post-disaster restoration of water distribution networks was employed as a case study. In addition, a new optimization method was developed using empirical heuristics obtained from practitioners, aiming for meaningful feedback from the practitioners working in a water management company. Based on our simulation, three workshops were conducted to create new knowledge, and new features were added to the simulation. In these workshops, practitioners performed simulation-based training in planning the restoration and then discussed their decisions. Afterward, it was concluded that the proposed framework was sufficient for updating the simulation. However, it required additional methods to provide practitioners with opportunities to obtain new insights.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49085826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we developed a simulation model of detailed in-hospital disaster response to a mass casualty incident based on the analysis of related documents and actual in-hospital disaster response training, aiming to assess the hospital’s response capacity under various disaster situations. This simulation model includes detailed models of patients, floor configurations, resources, and response tasks, which consider resource requirements for the treatment of different patients with various injuries and physical conditions. The model covers patients’ arrivals to hospitalization or discharge. We conducted simulations of the target hospital to test two resource allocation strategies under two patient scenarios. By comparing the results under different resource allocation strategies, we found that the X-ray photography examination capacity could become a fundamental bottleneck in responding to mass casualty incidents. Also, we found that the appropriate resource allocations and quick replenishment could alleviate the negative effect of resource shortages and maintain a higher performance. Furthermore, the results show that the length of stay can be heavily affected by the patients’ configuration. As a result, by monitoring and anticipating the situation, a resilient and responsive resource allocation strategy must be prepared to handle such uncertain disaster situations.
{"title":"Modeling and Simulation of In-Hospital Disaster Medicine in a Mass Casualty Event for the Resilience Evaluation of BCPs","authors":"Mizuki Umemoto, Shunsuke Kadono, T. Kanno, Kazumi Kajiyama, Sachika Sharikura, Ryoko Ikari, Masashi Yoneyama, Sheuwen Chuang","doi":"10.20965/jdr.2023.p0104","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0104","url":null,"abstract":"In this study, we developed a simulation model of detailed in-hospital disaster response to a mass casualty incident based on the analysis of related documents and actual in-hospital disaster response training, aiming to assess the hospital’s response capacity under various disaster situations. This simulation model includes detailed models of patients, floor configurations, resources, and response tasks, which consider resource requirements for the treatment of different patients with various injuries and physical conditions. The model covers patients’ arrivals to hospitalization or discharge. We conducted simulations of the target hospital to test two resource allocation strategies under two patient scenarios. By comparing the results under different resource allocation strategies, we found that the X-ray photography examination capacity could become a fundamental bottleneck in responding to mass casualty incidents. Also, we found that the appropriate resource allocations and quick replenishment could alleviate the negative effect of resource shortages and maintain a higher performance. Furthermore, the results show that the length of stay can be heavily affected by the patients’ configuration. As a result, by monitoring and anticipating the situation, a resilient and responsive resource allocation strategy must be prepared to handle such uncertain disaster situations.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45978926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Kanno, D. Karikawa, Hidenori Fujino, Chie Ishida
We, as guest editors, are honored to have been given the opportunity to organize this mini special issue on “Modeling of Human-Policy-Technology Nexus and Simulation for Disaster Response and Business Continuity” for the Journal of Disaster Research. This mini special issue aims to contribute to the overcoming of challenges around better design, operation, and management for disaster response and business continuity, where various factors, including human behavior and decision-making, policy and prioritization, monetary and humanitarian costs, and technological and infrastructural constraints, are intertwined, making it difficult to comprehend the entire picture and find an optimal solution. On the other hand, we firmly believe people have an essential role in disaster response and business continuity. However, unlike physical phenomena, there are no governing equations or laws for human behavior and decision-making; there are variations and inconsistencies in human modeling depending on whether what was done, what ought to be done, what can be done, etc. is being modeled. Sometimes, human behavior must be considered and the different modes of human models clearly distinguished when better socio-technical systems or other systems involving humans are discussed. All the papers selected introduce the latest innovative research in modeling and simulation, training system design, and quantitative and qualitative data analysis, which are directly and indirectly applicable to a better design, operation, and the management of disaster response and business continuity. At the same time, these papers also focus on one or several aspects of human behavior modes, such as past and current evidence (descriptive model) and what persons or organizations are supposed to be (normative model). The collection of these papers is expected to give good insight and inspiration to the readers and those who may take on the challenges this special issue aims to provide and to help develop an understanding of the importance of a human-centric approach to disaster research.
{"title":"Mini Special Issue on Modeling of Human-Policy-Technology Nexus and Simulation for Disaster Response and Business Continuity","authors":"T. Kanno, D. Karikawa, Hidenori Fujino, Chie Ishida","doi":"10.20965/jdr.2023.p0087","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0087","url":null,"abstract":"We, as guest editors, are honored to have been given the opportunity to organize this mini special issue on “Modeling of Human-Policy-Technology Nexus and Simulation for Disaster Response and Business Continuity” for the Journal of Disaster Research. This mini special issue aims to contribute to the overcoming of challenges around better design, operation, and management for disaster response and business continuity, where various factors, including human behavior and decision-making, policy and prioritization, monetary and humanitarian costs, and technological and infrastructural constraints, are intertwined, making it difficult to comprehend the entire picture and find an optimal solution.\u0000 On the other hand, we firmly believe people have an essential role in disaster response and business continuity. However, unlike physical phenomena, there are no governing equations or laws for human behavior and decision-making; there are variations and inconsistencies in human modeling depending on whether what was done, what ought to be done, what can be done, etc. is being modeled. Sometimes, human behavior must be considered and the different modes of human models clearly distinguished when better socio-technical systems or other systems involving humans are discussed.\u0000 All the papers selected introduce the latest innovative research in modeling and simulation, training system design, and quantitative and qualitative data analysis, which are directly and indirectly applicable to a better design, operation, and the management of disaster response and business continuity. At the same time, these papers also focus on one or several aspects of human behavior modes, such as past and current evidence (descriptive model) and what persons or organizations are supposed to be (normative model). The collection of these papers is expected to give good insight and inspiration to the readers and those who may take on the challenges this special issue aims to provide and to help develop an understanding of the importance of a human-centric approach to disaster research.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46914016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is my honor to receive the JDR Award for the Most Cited Paper 2022. I would sincerely like to thank the JDR editorial office, reviewers, and my co-author, Professor Yamazaki, for their support. The paper that received this honor was “Extraction of Collapsed Buildings in the 2016 Kumamoto Earthquake Using Multi-Temporal PALSAR-2 Data.” In this work, we proposed three change indices for evaluating the damage to buildings in Mashiki Town, Kumamoto Prefecture that were severely affected by the 2016 Kumamoto Earthquake. The indices were calculated from two pre- and one co-event ALOS-2 PALSAR-2 images. The most valid factor was adopted by comparing the extracted results with the reference data from field surveys. The factor was then applied to larger affected areas of Kumamoto City and its surroundings. In this work, the ALOS-2 proved to very effective in recognizing damages caused by nature disasters. This work has been cited by 21 journal papers as of December 2022. I am grateful to the editorial board of the JDR for affording us the opportunity to have this work published. We hope our results in this paper will help even more scientific works. Encouraged by this award, we will continue to conduct future investigations to further disaster prevention and management.
{"title":"Message from the Winner","authors":"Wen Liu","doi":"10.20965/jdr.2023.p0081","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0081","url":null,"abstract":"It is my honor to receive the JDR Award for the Most Cited Paper 2022. I would sincerely like to thank the JDR editorial office, reviewers, and my co-author, Professor Yamazaki, for their support. The paper that received this honor was “Extraction of Collapsed Buildings in the 2016 Kumamoto Earthquake Using Multi-Temporal PALSAR-2 Data.” In this work, we proposed three change indices for evaluating the damage to buildings in Mashiki Town, Kumamoto Prefecture that were severely affected by the 2016 Kumamoto Earthquake. The indices were calculated from two pre- and one co-event ALOS-2 PALSAR-2 images. The most valid factor was adopted by comparing the extracted results with the reference data from field surveys. The factor was then applied to larger affected areas of Kumamoto City and its surroundings. In this work, the ALOS-2 proved to very effective in recognizing damages caused by nature disasters. This work has been cited by 21 journal papers as of December 2022. I am grateful to the editorial board of the JDR for affording us the opportunity to have this work published. We hope our results in this paper will help even more scientific works. Encouraged by this award, we will continue to conduct future investigations to further disaster prevention and management.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48574638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We are pleased to announce that the MURAKAMI Suminao Award for Disaster Research and the JDR annual awards (the JDR Award for the Most Cited Paper, the JDR Award for the Most Downloaded Article, and the JDR Award for the Most Contributory Reviewer) of 2022 have been decided by the JDR editorial boards. The award ceremony was held on November 30, 2022 in hybrid style (both on-site and online). We congratulate the winners and sincerely wish for future success.
{"title":"Congratulations! MURAKAMI Suminao Award for Disaster Research 2022 and the JDR Annual Awards 2022","authors":"Editor-in-Chief, H. Hayashi","doi":"10.20965/jdr.2023.p0077","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0077","url":null,"abstract":"We are pleased to announce that the MURAKAMI Suminao Award for Disaster Research and the JDR annual awards (the JDR Award for the Most Cited Paper, the JDR Award for the Most Downloaded Article, and the JDR Award for the Most Contributory Reviewer) of 2022 have been decided by the JDR editorial boards. The award ceremony was held on November 30, 2022 in hybrid style (both on-site and online). We congratulate the winners and sincerely wish for future success.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45755530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I am very honored to receive the JDR Award for the Most Cited Paper 2022, and I am very grateful to the editorial board and staff of the Journal of Disaster Research. The paper, “Total Electron Content Observations by Dense Regional and Worldwide International Networks of GNSS,” reviews our research related to ionospheric observations using GNSS receiver networks. Since the late 1990s, the rapid development of GNSS receiver networks has made it possible to observe the ionosphere in two dimensions with high temporal and spatial resolution, revealing new features of various ionospheric phenomena. Ionospheric observation using GNSS receiver networks has become an indispensable method of observation in the space weather field. After the 2011 Tohoku Earthquake, it was revealed that various atmospheric waves excited by earthquakes and tsunamis propagated up to the ionosphere and caused ionospheric variations, suggesting the possibility of tsunami monitoring using ionospheric observations. We are also working on the standardization of ionospheric data formatting to achieve even higher spatial resolution and wider coverage of ionospheric observation using GNSS receiver networks through international cooperation. Encouraged by this award, we will continue our research and development efforts with a view to applying this technology not only to space weather but also to natural disasters such as earthquakes and tsunamis.
{"title":"Message from the Winner","authors":"T. Tsugawa","doi":"10.20965/jdr.2023.p0083","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0083","url":null,"abstract":"I am very honored to receive the JDR Award for the Most Cited Paper 2022, and I am very grateful to the editorial board and staff of the Journal of Disaster Research. The paper, “Total Electron Content Observations by Dense Regional and Worldwide International Networks of GNSS,” reviews our research related to ionospheric observations using GNSS receiver networks. Since the late 1990s, the rapid development of GNSS receiver networks has made it possible to observe the ionosphere in two dimensions with high temporal and spatial resolution, revealing new features of various ionospheric phenomena. Ionospheric observation using GNSS receiver networks has become an indispensable method of observation in the space weather field. After the 2011 Tohoku Earthquake, it was revealed that various atmospheric waves excited by earthquakes and tsunamis propagated up to the ionosphere and caused ionospheric variations, suggesting the possibility of tsunami monitoring using ionospheric observations. We are also working on the standardization of ionospheric data formatting to achieve even higher spatial resolution and wider coverage of ionospheric observation using GNSS receiver networks through international cooperation. Encouraged by this award, we will continue our research and development efforts with a view to applying this technology not only to space weather but also to natural disasters such as earthquakes and tsunamis.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46644561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I would like to express my sincere gratitude for the MURAKAMI Suminao Award for Disaster Research 2022 and the JDR Award for the Most Contributory Reviewer 2022. It has been a great pleasure to serve on the editorial board for many years, and I have had the opportunity to talk with distinguished members of the editorial board who specialize in natural disasters such as earthquakes, volcanoes, and floods, which are completely outside my field of expertise, biology and medicine, and who have greatly broadened my perspective. The saying goes that disasters come just when you forget about them, but we have been in a situation recently where disasters come before we forget about them. There have been so many disasters: the panic that began with the discovery of cattle infected with bovine spongiform encephalopathy in Japan in 2001, the simultaneous terrorist attacks in the U.S. and the U.S. military invasion of Afghanistan around the same time, the poisoning of frozen dumplings made in China in 2007, the Tohoku Earthquake and Fukushima Daiichi Nuclear Power Plant accident in 2011, the COVID-19 problem that has continued from 2019 to the present, the invasion of Ukraine by Russia in 2022 and the resulting energy crisis and food shortages, as well as earthquakes, torrential rains, landslides, and typhoons that have occurred every year. The purpose of JDR, I believe, would be to stimulate research on these disasters, thereby providing a basis for the development of technologies for disaster prevention and control. In this regard, I have been concerned about the distance between science and technology: in the case of COVID-19, research on the causative virus, combined with messenger RNA vaccine technology, led to the fastest vaccine ever developed. On the other hand, the development of a cure has been slow, and the only treatment for pneumonia has been the old-fashioned one. Recently, antiviral drugs have been developed, but their efficacy has yet to be determined. There are many reasons for the distance between science and technology, and I hope that the research results published in JDR will play a role in reducing that distance.
{"title":"Message from the Winner","authors":"Hideaki Karaki","doi":"10.20965/jdr.2023.p0080","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0080","url":null,"abstract":"I would like to express my sincere gratitude for the MURAKAMI Suminao Award for Disaster Research 2022 and the JDR Award for the Most Contributory Reviewer 2022. It has been a great pleasure to serve on the editorial board for many years, and I have had the opportunity to talk with distinguished members of the editorial board who specialize in natural disasters such as earthquakes, volcanoes, and floods, which are completely outside my field of expertise, biology and medicine, and who have greatly broadened my perspective.\u0000 The saying goes that disasters come just when you forget about them, but we have been in a situation recently where disasters come before we forget about them. There have been so many disasters: the panic that began with the discovery of cattle infected with bovine spongiform encephalopathy in Japan in 2001, the simultaneous terrorist attacks in the U.S. and the U.S. military invasion of Afghanistan around the same time, the poisoning of frozen dumplings made in China in 2007, the Tohoku Earthquake and Fukushima Daiichi Nuclear Power Plant accident in 2011, the COVID-19 problem that has continued from 2019 to the present, the invasion of Ukraine by Russia in 2022 and the resulting energy crisis and food shortages, as well as earthquakes, torrential rains, landslides, and typhoons that have occurred every year.\u0000 The purpose of JDR, I believe, would be to stimulate research on these disasters, thereby providing a basis for the development of technologies for disaster prevention and control. In this regard, I have been concerned about the distance between science and technology: in the case of COVID-19, research on the causative virus, combined with messenger RNA vaccine technology, led to the fastest vaccine ever developed. On the other hand, the development of a cure has been slow, and the only treatment for pneumonia has been the old-fashioned one. Recently, antiviral drugs have been developed, but their efficacy has yet to be determined.\u0000 There are many reasons for the distance between science and technology, and I hope that the research results published in JDR will play a role in reducing that distance.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45138589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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