Hiroaki Maruya, Tetsuya Torayashiki, H. Sasaki, Fumihiko Imamura
The occurrence rate of a subsequent earthquake is estimated to become a hundred times more than that at ordinary times when a case of partial rupture of the Nankai Trough Earthquake occurs. Companies and organizations that play a key role in social activities should take practicable actions positively in cooperation with relevant actors. Their recommended correspondences would be different by area according to the influence level by the subsequent partial rupture earthquake. Areas would be classified into three types: 1) strong earthquakes and tsunami are anticipated, 2) strong earthquakes without tsunami are anticipated, and 3) neither strong earthquakes nor tsunami is anticipated (this area should contribute as a supporter). There is also difference depending on business character and industry type. Therefore, it would be effective to examine the responses in the case of partial rupture, counting these differences in, and based on their business continuity plans (BCP). The authors will propose a recommended correspondence method (“recipe”) as an example of this means. In addition, there should be recommended actions of companies and organizations such as their operations not preventing evacuation and stockpiling in the local communities.
{"title":"Proposal of a Recommended Correspondence Method for Companies and Organizations in Case of Partial Rupture of the Nankai Trough Earthquake","authors":"Hiroaki Maruya, Tetsuya Torayashiki, H. Sasaki, Fumihiko Imamura","doi":"10.20965/jdr.2023.p0217","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0217","url":null,"abstract":"The occurrence rate of a subsequent earthquake is estimated to become a hundred times more than that at ordinary times when a case of partial rupture of the Nankai Trough Earthquake occurs. Companies and organizations that play a key role in social activities should take practicable actions positively in cooperation with relevant actors. Their recommended correspondences would be different by area according to the influence level by the subsequent partial rupture earthquake. Areas would be classified into three types: 1) strong earthquakes and tsunami are anticipated, 2) strong earthquakes without tsunami are anticipated, and 3) neither strong earthquakes nor tsunami is anticipated (this area should contribute as a supporter). There is also difference depending on business character and industry type. Therefore, it would be effective to examine the responses in the case of partial rupture, counting these differences in, and based on their business continuity plans (BCP). The authors will propose a recommended correspondence method (“recipe”) as an example of this means. In addition, there should be recommended actions of companies and organizations such as their operations not preventing evacuation and stockpiling in the local communities.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45111299","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}
B. Kunsuwan, T. Chalermpornchai, W. Mairaing, Wiphada Thepjanthra
Hydraulic fracturing (HF) in a dam is the phenomenon of crack propagation after water pressure enters and expands an existing crack. An HF numerical model was tested on an existing dam on a complex foliated rock foundations. The locations and areas of HF could be identified, leading to the development of the hydraulic fracturing index (HFI). The results revealed that the HF area mainly occurred in syncline concave areas on rock foundations. The expansion of HF significantly affected the seepage and the stability of the dam. The HF area on a studied dam mainly started to occur when the reservoir water level (RWL) reached 146.00–156.00 m mean sea level (MSL). These results agreed well with the piezometric monitoring data recorded as 148.00–149.00 m MSL. The findings supported the formulation of the HFI based on the influencing factors of the cross-valley geometry, RWL, dam height, and elastic modulus of the rock foundation. The probability of HF occurrence could be evaluated and categorized for safety evaluation into five conditions: ≤0.14 (very unlikely), 0.15–0.74 (unlikely), 0.75–1.86 (neutral), 1.87–3.10 (likely), and ≥3.10 (very likely). The HFI can be used to predict the likelihood of seepage problems due to HF in an existing earth dam.
大坝水力压裂（HF）是在水压进入并扩展现有裂缝后，裂缝扩展的现象。HF数值模型在复杂叶理岩石基础上的现有大坝上进行了测试。HF的位置和面积可以确定，从而开发水力压裂指数（HFI）。结果表明，HF区主要发生在岩石地基上的向斜凹陷区。HF的膨胀对大坝的渗流和稳定性产生了显著影响。研究大坝上的HF区域主要在水库水位（RWL）达到146.00–156.00 m平均海平面（MSL）时开始出现。这些结果与记录为148.00–149.00 m MSL的测压监测数据一致。研究结果支持了基于跨谷几何形状、RWL、坝高和岩石地基弹性模量等影响因素的HFI公式。HF发生的概率可进行评估，并将其分为五种情况进行安全评估：≤0.14（极不可能）、0.15–0.74（不太可能）、0.75–1.86（中性）、1.87–3.10（可能）和≥3.10（极有可能）。HFI可用于预测现有土坝中HF引起的渗流问题的可能性。
{"title":"Assessment of Hydraulic Fracturing in Earth Dams on Complex Foundations","authors":"B. Kunsuwan, T. Chalermpornchai, W. Mairaing, Wiphada Thepjanthra","doi":"10.20965/jdr.2023.p0270","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0270","url":null,"abstract":"Hydraulic fracturing (HF) in a dam is the phenomenon of crack propagation after water pressure enters and expands an existing crack. An HF numerical model was tested on an existing dam on a complex foliated rock foundations. The locations and areas of HF could be identified, leading to the development of the hydraulic fracturing index (HFI). The results revealed that the HF area mainly occurred in syncline concave areas on rock foundations. The expansion of HF significantly affected the seepage and the stability of the dam. The HF area on a studied dam mainly started to occur when the reservoir water level (RWL) reached 146.00–156.00 m mean sea level (MSL). These results agreed well with the piezometric monitoring data recorded as 148.00–149.00 m MSL. The findings supported the formulation of the HFI based on the influencing factors of the cross-valley geometry, RWL, dam height, and elastic modulus of the rock foundation. The probability of HF occurrence could be evaluated and categorized for safety evaluation into five conditions: ≤0.14 (very unlikely), 0.15–0.74 (unlikely), 0.75–1.86 (neutral), 1.87–3.10 (likely), and ≥3.10 (very likely). The HFI can be used to predict the likelihood of seepage problems due to HF in an existing earth dam.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48659841","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}
Learning from the Great East Japan Earthquake, the Japanese government enacted the “Tsunami Disaster Prevention Community Development Law.” Following the law’s enactment, local prefectures could designate areas that required special preparation for tsunami disasters as “tsunami disaster alert areas.” However, more than 10 years after the law’s enactment, only about half of the prefectures with estimated tsunami inundation have designated disaster alert areas. One reason for this lack of progress is that it is difficult to reach a consensus owing to concerns regarding falling land prices caused by rumors. Thus, this study presents an empirical analysis of the impact of designating tsunami disaster alert areas on land prices. The difference in land prices between designated tsunami disaster alert areas and other areas is analyzed using the difference-in-difference and propensity score matching methods, using data on 26 prefectures. The eight prefectures in the “treatment group” were designated as tsunami disaster alert areas before 2018. The other prefectures are assigned to the “control group.” The results show a significant difference between designated tsunami disaster alert areas and other locations. The results are confirmed in kernel matching bandwidths of 0.06 for the entire sample, sample of only residential use, and sample of an estimated tsunami inundation depth below 2 m. Thus, this study concludes that before designating tsunami alert areas, local prefectures must carefully consider the impact of such designation on land prices.
{"title":"Analysis of Land Price Changes Before and After Designation as Tsunami Disaster Alert Areas","authors":"Jun Sakamoto","doi":"10.20965/jdr.2023.p0261","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0261","url":null,"abstract":"Learning from the Great East Japan Earthquake, the Japanese government enacted the “Tsunami Disaster Prevention Community Development Law.” Following the law’s enactment, local prefectures could designate areas that required special preparation for tsunami disasters as “tsunami disaster alert areas.” However, more than 10 years after the law’s enactment, only about half of the prefectures with estimated tsunami inundation have designated disaster alert areas. One reason for this lack of progress is that it is difficult to reach a consensus owing to concerns regarding falling land prices caused by rumors. Thus, this study presents an empirical analysis of the impact of designating tsunami disaster alert areas on land prices. The difference in land prices between designated tsunami disaster alert areas and other areas is analyzed using the difference-in-difference and propensity score matching methods, using data on 26 prefectures. The eight prefectures in the “treatment group” were designated as tsunami disaster alert areas before 2018. The other prefectures are assigned to the “control group.” The results show a significant difference between designated tsunami disaster alert areas and other locations. The results are confirmed in kernel matching bandwidths of 0.06 for the entire sample, sample of only residential use, and sample of an estimated tsunami inundation depth below 2 m. Thus, this study concludes that before designating tsunami alert areas, local prefectures must carefully consider the impact of such designation on land prices.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47216351","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}
To understand the workload of house cleanup and related workforce shortage after a disaster, the actual work situation in disaster-stricken areas is accounted for by disaster volunteer work management data created by the Disaster Volunteer Center of Joso City in Ibaraki Prefecture at the time of the Kanto–Tohoku Heavy Rain Disaster in September 2015. Using the classification of inundation depth, judged from ground elevation, the weekly workload of house cleanup according to the work content is recorded to clarify the characteristics of each area. Comparing this with the inundated areas without destructions by water flow, near the bank break with house destructions, in the urban area, and around the farmland along the old road, a model to estimate the workload is constructed. It was observed that indoor work to recommence living in urban areas continued for a long time, while the work was completed in a relatively short time in the area along the old road. The area near the bank break, with a small number of houses, witnessed very few house destructions. Hence, it is not necessary to separately calculate the workload caused by house destructions. The appropriateness of the estimated results was verified by using a method to estimate the workload based on the amount of disaster waste. As a result, the total workload estimated by disaster volunteers and victims for the busy period of two months was a million people. In the case of the Joso City flood, very few houses were completely destroyed, therefore, regular living could be resumed swiftly and people settled there after the disaster due to its proximity to the metropolitan area. Hence, the population decreased by the flood was recovered in two years.
{"title":"Estimation of House Cleanup Work Volume Based on Disaster Volunteer Center Work Management Data —The Case of the 2015 Joso City—","authors":"Y. Mizui, Hiroyuki Fujiwara","doi":"10.20965/jdr.2023.p0246","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0246","url":null,"abstract":"To understand the workload of house cleanup and related workforce shortage after a disaster, the actual work situation in disaster-stricken areas is accounted for by disaster volunteer work management data created by the Disaster Volunteer Center of Joso City in Ibaraki Prefecture at the time of the Kanto–Tohoku Heavy Rain Disaster in September 2015. Using the classification of inundation depth, judged from ground elevation, the weekly workload of house cleanup according to the work content is recorded to clarify the characteristics of each area. Comparing this with the inundated areas without destructions by water flow, near the bank break with house destructions, in the urban area, and around the farmland along the old road, a model to estimate the workload is constructed. It was observed that indoor work to recommence living in urban areas continued for a long time, while the work was completed in a relatively short time in the area along the old road. The area near the bank break, with a small number of houses, witnessed very few house destructions. Hence, it is not necessary to separately calculate the workload caused by house destructions. The appropriateness of the estimated results was verified by using a method to estimate the workload based on the amount of disaster waste. As a result, the total workload estimated by disaster volunteers and victims for the busy period of two months was a million people. In the case of the Joso City flood, very few houses were completely destroyed, therefore, regular living could be resumed swiftly and people settled there after the disaster due to its proximity to the metropolitan area. Hence, the population decreased by the flood was recovered in two years.","PeriodicalId":46831,"journal":{"name":"Journal of Disaster Research","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48256138","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 very honored to receive the JDR Award for the Most Downloaded Article 2022, a new award from the Journal of Disaster Research (JDR). After the 2011 Great Tohoku Earthquake, it is now said that a magnitude 9-class earthquake could occur in the Nankai Trough, and it is necessary for us to know how strong ground motion (shaking) we will experience during such a great earthquake in order to take countermeasures. In this paper, we developed a new seismic motion prediction model that is applicable to M9-class earthquakes. We did this by adding the strong-motion records of the 2011 Great Tohoku Earthquake to the many records accumulated by various organizations since the 1950s. We would like to express our gratitude to all the organizations that provided us with their valuable records. Nearly 10 years have passed since the publication of the paper, and the records accumulated during that time have helped us to recognize the usefulness of our proposed model. We understand that our paper is still being downloaded in large numbers today and that our model is now being used not only in research but also in practice. As natural disasters occur more frequently in Japan and around the world, we hope that JDR will continue to grow and develop as an international source of useful knowledge on natural disasters.
{"title":"Message from the Winner","authors":"N. Morikawa","doi":"10.20965/jdr.2023.p0084","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0084","url":null,"abstract":"We are very honored to receive the JDR Award for the Most Downloaded Article 2022, a new award from the Journal of Disaster Research (JDR).\u0000 After the 2011 Great Tohoku Earthquake, it is now said that a magnitude 9-class earthquake could occur in the Nankai Trough, and it is necessary for us to know how strong ground motion (shaking) we will experience during such a great earthquake in order to take countermeasures. In this paper, we developed a new seismic motion prediction model that is applicable to M9-class earthquakes. We did this by adding the strong-motion records of the 2011 Great Tohoku Earthquake to the many records accumulated by various organizations since the 1950s. We would like to express our gratitude to all the organizations that provided us with their valuable records.\u0000 Nearly 10 years have passed since the publication of the paper, and the records accumulated during that time have helped us to recognize the usefulness of our proposed model. We understand that our paper is still being downloaded in large numbers today and that our model is now being used not only in research but also in practice.\u0000 As natural disasters occur more frequently in Japan and around the world, we hope that JDR will continue to grow and develop as an international source of useful knowledge on natural disasters.","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":"43578479","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}
Aya Iguchi, Chie Ishida, Taichi Sato, Risa Okada, Takayuki Kanesaka, T. Kanno
Objective: This study aims to clarify the actual situation of the business continuity plan (BCP) preparation in the community general support centers in Japan. Method: In September 2021, a survey was administered to 5,391 community general support centers all over Japan using a self-input Web questionnaire. Results: 577 responses were obtained, for a response rate of 10.7%, among which “BCP has been created” accounts for 9.5%; “BCP has not been created, and there is no plan to create any,” 22.0%; “it is currently being examined whether to create BCP,” 47.0%; and “BCP is now being created,” 21.5%. The community general support centers that “have not determined the division of roles” with their municipalities in responding to disaster account for 64%. Conclusions: This study clarifies the situation of the community general support centers in Japan, based on which they cannot be said to be prepared for a disaster. From the word network of answers to our questionnaire, we can see reasons why the BCP has not been created: lack of knowledge and busy work. Centers that have not prepared a BCP, understand the need to create one, but they are too busy and are unaware of how to do so. We discuss measures to promote the creation of BCPs by community general support centers in the future, given the current situation.
{"title":"Current Situation of the Business Continuity Plan Preparation in Japan: Community General Support Centers","authors":"Aya Iguchi, Chie Ishida, Taichi Sato, Risa Okada, Takayuki Kanesaka, T. Kanno","doi":"10.20965/jdr.2023.p0124","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0124","url":null,"abstract":"Objective: This study aims to clarify the actual situation of the business continuity plan (BCP) preparation in the community general support centers in Japan. Method: In September 2021, a survey was administered to 5,391 community general support centers all over Japan using a self-input Web questionnaire. Results: 577 responses were obtained, for a response rate of 10.7%, among which “BCP has been created” accounts for 9.5%; “BCP has not been created, and there is no plan to create any,” 22.0%; “it is currently being examined whether to create BCP,” 47.0%; and “BCP is now being created,” 21.5%. The community general support centers that “have not determined the division of roles” with their municipalities in responding to disaster account for 64%. Conclusions: This study clarifies the situation of the community general support centers in Japan, based on which they cannot be said to be prepared for a disaster. From the word network of answers to our questionnaire, we can see reasons why the BCP has not been created: lack of knowledge and busy work. Centers that have not prepared a BCP, understand the need to create one, but they are too busy and are unaware of how to do so. We discuss measures to promote the creation of BCPs by community general support centers in the future, given the current situation.","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":"47749485","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}
Toshihisa Toyoda, Qinglin Cui, Masaki Ikeda, H. Nakamura, Hiroyuki Fujiwara
This paper presents a rapid or real-time estimation method of the economic value of direct stock damages caused by significant earthquakes in Japan. The result will contribute to both the government and private sectors’ early decision-making, particularly for provisional budget allocation. First, we developed a simple but evidence-based model for estimating stock losses explained by a representative earthquake hazard factor and an exposure factor, i.e., seismic intensity and existing stock of physical assets. The key characteristic of our estimation model is that the dependent variable is prefectural damage amount. Still, the explanatory variables come from municipal sources: we overcome this data availability problem through our estimation process. Second, we carefully checked the model’s specification, estimation, and performance to be soundly applied to a real-time assessment of future earthquake events. We also explain the automated measuring of the prefectural direct loss value and its distribution to every 250 m mesh. Finally, we show two examples of the application of our model; one is the case of the 2018 Northern Osaka Earthquake, and the other is the anticipated Tokyo inland earthquake.
{"title":"Rapid Estimation of Direct Economic Losses Caused by Significant Earthquakes: An Evidence-Based Model and its Applications","authors":"Toshihisa Toyoda, Qinglin Cui, Masaki Ikeda, H. Nakamura, Hiroyuki Fujiwara","doi":"10.20965/jdr.2023.p0178","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0178","url":null,"abstract":"This paper presents a rapid or real-time estimation method of the economic value of direct stock damages caused by significant earthquakes in Japan. The result will contribute to both the government and private sectors’ early decision-making, particularly for provisional budget allocation. First, we developed a simple but evidence-based model for estimating stock losses explained by a representative earthquake hazard factor and an exposure factor, i.e., seismic intensity and existing stock of physical assets. The key characteristic of our estimation model is that the dependent variable is prefectural damage amount. Still, the explanatory variables come from municipal sources: we overcome this data availability problem through our estimation process. Second, we carefully checked the model’s specification, estimation, and performance to be soundly applied to a real-time assessment of future earthquake events. We also explain the automated measuring of the prefectural direct loss value and its distribution to every 250 m mesh. Finally, we show two examples of the application of our model; one is the case of the 2018 Northern Osaka Earthquake, and the other is the anticipated Tokyo inland earthquake.","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":"48337416","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 our great pleasure to present the MURAKAMI Suminao Award to Prof. Hideaki Karaki. Professor Karaki has made outstanding contributions to the Journal of Disaster Research (JDR) as an important member of the JDR editorial board for a long time. He is Professor Emeritus, in the Department of Veterinary Medical Sciences, at The University of Tokyo, and he is a former president of Foundation of Food Safety and Security. His major contributions to the JDR have been in the area of medical disasters such as infectious disease pandemics. The JDR covers various kinds of disasters, both natural and man-made, such as geological, hydrological, or microbial disasters, and medical or infectious disease disasters are also important to mention. His excellent manuscripts have also been in the JDR. Furthermore, he has comprehensive knowledge of various fields in addition to his field of specialization. He has had a long career as an editor of the JDR, and his opinions in editorial meetings have always been valuable. Thus, his contributions to the JDR make him very deserving of the MURAKAMI Suminao Award. I wish to thank to Professor Karaki for his contributions and to congratulate him as the winner of the Award.
{"title":"Presenting the MURAKAMI Suminao Award 2022","authors":"S. Shinoda","doi":"10.20965/jdr.2023.p0079","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0079","url":null,"abstract":"It is our great pleasure to present the MURAKAMI Suminao Award to Prof. Hideaki Karaki.\u0000 Professor Karaki has made outstanding contributions to the Journal of Disaster Research (JDR) as an important member of the JDR editorial board for a long time. He is Professor Emeritus, in the Department of Veterinary Medical Sciences, at The University of Tokyo, and he is a former president of Foundation of Food Safety and Security. His major contributions to the JDR have been in the area of medical disasters such as infectious disease pandemics. The JDR covers various kinds of disasters, both natural and man-made, such as geological, hydrological, or microbial disasters, and medical or infectious disease disasters are also important to mention. His excellent manuscripts have also been in the JDR. Furthermore, he has comprehensive knowledge of various fields in addition to his field of specialization. He has had a long career as an editor of the JDR, and his opinions in editorial meetings have always been valuable.\u0000 Thus, his contributions to the JDR make him very deserving of the MURAKAMI Suminao Award. \u0000 I wish to thank to Professor Karaki for his contributions and to congratulate him as the winner of the Award.","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":"44808361","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 very honored to receive the prestigious JDR Award for the Most Cited Paper 2022. The winning paper, “Real-Time Tsunami Prediction System Using DONET,” discusses a system that uses data from the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET), which was installed in the rupture areas of the 1944 Tonankai and 1946 Nankai earthquakes in order to instantly generate and visualize tsunami prediction information. The forecast information from this system consists of tsunami arrival time, maximum tsunami height, tsunami inundation area, and inundation depth distribution. The system, which visualizes and distributes forecast information for areas where users need it as a supplement to the tsunami information provided nationwide by the Japan Meteorological Agency, has been introduced in Wakayama Prefecture, Mie Prefecture, Chiba Prefecture, and the city of Owase, as well as by Chubu Electric Power Co., Inc. After DONET was installed in the Tonankai rupture area, we were considering the possibility of using DONET data regionally, and we developed the system as results of discussions with Wakayama Prefecture and Chubu Electric Power Co., Inc. Under the concept that the users themselves would be operating the system, we intended to make the system as simple and easy to understand as possible, and to reduce costs by minimizing the number of hardware units. We also considered making the system flexible and scalable, recognizing that each user has a different way of how to use the tsunami forecast information. We were able to receive this award thanks to the cooperation of the people who were involved in many discussions with us during the process of establishing the concept. We will not become complacent going forward, but will continue to improve our system in ways that reflect the opinions of the users. We would like to thank everyone who has cited this paper with their interests.
{"title":"Message from the Winner","authors":"N. Takahashi","doi":"10.20965/jdr.2023.p0082","DOIUrl":"https://doi.org/10.20965/jdr.2023.p0082","url":null,"abstract":"We are very honored to receive the prestigious JDR Award for the Most Cited Paper 2022. The winning paper, “Real-Time Tsunami Prediction System Using DONET,” discusses a system that uses data from the Dense Oceanfloor Network system for Earthquakes and Tsunamis (DONET), which was installed in the rupture areas of the 1944 Tonankai and 1946 Nankai earthquakes in order to instantly generate and visualize tsunami prediction information. The forecast information from this system consists of tsunami arrival time, maximum tsunami height, tsunami inundation area, and inundation depth distribution. The system, which visualizes and distributes forecast information for areas where users need it as a supplement to the tsunami information provided nationwide by the Japan Meteorological Agency, has been introduced in Wakayama Prefecture, Mie Prefecture, Chiba Prefecture, and the city of Owase, as well as by Chubu Electric Power Co., Inc. After DONET was installed in the Tonankai rupture area, we were considering the possibility of using DONET data regionally, and we developed the system as results of discussions with Wakayama Prefecture and Chubu Electric Power Co., Inc. Under the concept that the users themselves would be operating the system, we intended to make the system as simple and easy to understand as possible, and to reduce costs by minimizing the number of hardware units. We also considered making the system flexible and scalable, recognizing that each user has a different way of how to use the tsunami forecast information. We were able to receive this award thanks to the cooperation of the people who were involved in many discussions with us during the process of establishing the concept. We will not become complacent going forward, but will continue to improve our system in ways that reflect the opinions of the users. We would like to thank everyone who has cited this paper with their interests.","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":"46799660","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}
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