scholarly journals Special Issue on the Development of Disaster Statistics Part 2

2019 ◽  
Vol 14 (8) ◽  
pp. 1009-1009
Author(s):  
Yuichi Ono ◽  
Daisuke Sasaki
Keyword(s):  
Disaster Risk Reduction ◽  
Positive Impact ◽  
Disaster Risk ◽  
International Studies ◽  
River Engineering ◽  
Special Issue ◽  
Disaster Research ◽  
Research Activity ◽  
Research Questions ◽  
Questionnaire Surveys

A year has passed since the first special issue on the development of disaster statistics was published in the Journal of Disaster Research. The Global Centre for Disaster Statistics (GCDS) at Tohoku University is steadily making progress as well. The GCDS now participates in Sendai Framework Voluntary Commitments (SFVC), which was launched by the United Nations Office for Disaster Risk Reduction (UNDRR). In addition, the GCDS has committed to publishing this special issue of the Journal of Disaster Research toward the development of disaster statistics. Needless to say, the publication of the special issue itself has a positive impact on accelerating research activity at the GCDS. The guest editors are pleased to publish valuable academic articles that are closely related to the activities of the GCDS, thus contributing to the development of disaster statistics. In this second issue, there seem to be two main categories of research questions: “development of the existing disciplined-based research” and “analyzing various issues by means of questionnaire surveys.” Under the first category, by means of disaster statistics, two disciplines are covered: river engineering and international studies. The large number of studies based on questionnaire surveys act as an excellent reminder of the effectiveness of such a survey as a methodology for disaster statistics. Last but not least, we hope that this second special issue on the development of disaster statistics will also contribute to the literature on disaster statistics and accelerate its development.

scholarly journals Overview of the Special Issue on the Development of Disaster Statistics Part 2

2019 ◽  
Vol 14 (8) ◽  
pp. 1010-1013 ◽  
Author(s):  
Daisuke Sasaki ◽  
◽  
Yuichi Ono
Keyword(s):  
Positive Impact ◽  
Disaster Risk ◽  
International Studies ◽  
River Engineering ◽  
Special Issue ◽  
Disaster Research ◽  
Research Activity ◽  
The World ◽  
Research Questions ◽  
Questionnaire Surveys

A year has passed since the first special issue on the development of disaster statistics was published in the Journal of Disaster Research. The attempt to improve and utilize disaster statistics throughout the world is still in progress, although it is steadily moving forward. Under such circumstances, the Global Centre for Disaster Statistics (GCDS) at Tohoku University has also made advances in this area. The Centre participates in the Sendai Framework Voluntary Commitments (SFVC) launched by the United Nations Office for Disaster Risk Reduction (UNDRR). This second special issue on the development of disaster statistics aims to publish the research results from the latest studies related to this topic. For the SFVC, the GCDS has committed to publishing this special issue of the Journal of Disaster Research towards the development of disaster statistics as for academic contributions. In addition, the publication of the special issue itself has a positive impact on the acceleration of research activity at the GCDS. In this issue, there seems to be two main categories of research questions; namely “development of the existing disciplined-based research,” and “analyzing various issues by means of questionnaire surveys.” Under the umbrella of the development of the existing disciplined-based research by means of disaster statistics, two disciplines are covered: river engineering, and international studies. The large number of studies based on questionnaire surveys acts as an excellent reminder of the effectiveness of a questionnaire survey when adopted as a methodology of disaster statistics. The guest editors hope that this second special issue on the development of disaster statistics would also contribute to the literature of disaster statistics and accelerate their development.

scholarly journals Overview of the Special Issue on the Development of Disaster Statistics

2018 ◽  
Vol 13 (6) ◽  
pp. 1002-1006 ◽  
Author(s):  
Daisuke Sasaki ◽  
◽  
Yuichi Ono
Keyword(s):  
Risk Reduction ◽  
Local Governments ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Special Issue ◽  
Private Companies ◽  
The Third ◽  
Questionnaire Surveys ◽  
Second Category ◽  
National Governments

At the Third UN World Conference on Disaster Risk Reduction (UNWCDRR) held in March 2015 in Sendai City, Japan, the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR), containing seven global targets, was adopted by 187 UN member states. With its outcome-oriented but non-numerical targets, quantitative approaches for monitoring disaster damage and loss by national governments became mandatory. The Global Centre for Disaster Statistics (GCDS) in Tohoku University was established in April 2015. The GCDS is expected to contribute to the evidence-based policy making by national and/or local governments. In addition, the GCDS aims at creating a synergy effect among academia, the UN organizations, and private companies in order to provide unprecedented values to all stakeholders worldwide. Under such circumstances, the special issue aims at publishing the research results obtained so far from the relevant studies that have been mainly conducted at the GCDS. The guest editors of the special issue are pleased to publish 13 valuable academic articles closely related to the activities of the GCDS, contributing to the development of disaster statistics. Based on the features of the 13 articles contained in the special issue, there seems to be three major categories of research questions. The first one is to investigate disaster statistics and/or global disaster-related databases. The articles of the first category contribute to the clarification of the characteristics specific to disaster statistics. The second one is to utilize disaster statistics in order to develop the existing discipline-based research. The articles of the second category are quite beneficial for establishing a new possibility of applying disaster statistics for the research so far. The third one is to analyze a variety of issues by means of questionnaire surveys. The articles of the third category are issue-oriented and interdisciplinary. Last but not least, the guest editors hope that the special issue would certainly contribute to the literature of disaster statistics and accelerate their development.

Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020

2020 ◽  
Vol 15 (6) ◽  
pp. 675-675
Author(s):  
Haruo Hayashi ◽  
Ryohei Misumi
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Large Scale ◽  
Science And Technology ◽  
The United States ◽  
Disaster Risk ◽  
Risk Information ◽  
Shaking Table ◽  
Scale Model ◽  
Special Issue

We are very pleased to publish the Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020. There are nine papers in this issue. The first two papers concern hazard and risk information systems: Sano et al. constructed a real-time risk information map for flood and landslide disasters, and Hirashima et al. created an alert system for snow removal from rooftops. These systems are already in use on the NIED website. The next three papers are case studies of recent storm disasters in Japan and the United States: Cui et al. analyzed the time variation in the distribution of damage reports in the headquarters for heavy-rainfall disaster control in Fukuoka, Shakti et al. studied flood disasters caused by Typhoon Hagibis (2019), and Iizuka and Sakai conducted a meteorological analysis of Hurricane Harvey (2017). Regarding volcanic disasters, Tanada and Nakamura reported the results of an electromagnetic survey of Mt. Nasudake. This special issue also includes three papers on large-scale model experimentation: Danjo and Ishizawa studied the rainfall infiltration process using NIED’s Large-Scale Rainfall Simulator, Kawamata and Nakazawa conducted experiments concerning liquefaction, and Nakazawa et al. reported the results of experiments on seismic retrofits for road embankments. The experiments used E-Defense, the world’s largest three-dimensional shaking table. We hope this issue will provide useful information for all readers studying natural disasters.

Message from Editors-in-Chief

2017 ◽  
Vol 12 (3) ◽  
pp. 393-393
Author(s):  
Haruo Hayashi ◽  
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Chief Editor ◽  
Disaster Risk ◽  
Disaster Reduction ◽  
Disaster Research ◽  
High Quality ◽  
Professional Journal ◽  
High Quality Study ◽  
Quality Study

Journal of Disaster Research (JDR) is a comprehensive, peer-reviewed professional journal published in Japan for studies on disaster reduction with all-hazard approach and has published more than 1,000 papers since 2006. I took over the chief editor from Dr. Takiguchi last September to help Dr. Murakami. I would like to keep working on publishing high-quality study achievements from JDR, as a clearinghouse site of disaster risk reduction and resilience information in Asia. I very much hope for your continued cooperation.

scholarly journals Introduction to the Special Issue on Cascading Disaster Modelling and Prevention

2021 ◽  
Vol 18 (9) ◽  
pp. 4813
Author(s):  
Thomas J. Huggins ◽  
Lili Yang ◽  
Didier Sornette
Keyword(s):  
Risk Reduction ◽  
Global Assessment ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Special Issue ◽  
Assessment Report

The 2019 Global Assessment Report (GAR2019) on Disaster Risk Reduction [...]

scholarly journals Community Preparedness towards Dam Disaster: Disaster Risk Reduction (DRR) Program in Cameron Highlands

2021 ◽  
Vol 12 (9) ◽  
pp. 267-273
Author(s):  
Rahsidi Sabri Muda ◽  
◽  
Mohd Ramzi Mohd Hussain ◽  
zawati Tukiman ◽  
Fatin Shahira Abdullah
Keyword(s):  
Risk Reduction ◽  
Disaster Response ◽  
Disaster Risk Reduction ◽  
High Speed ◽  
Disaster Risk ◽  
Response Strategies ◽  
Cameron Highlands ◽  
Community Preparedness ◽  
Analyse Data ◽  
Questionnaire Surveys

Dam disaster occurrences are an unexpected event that occurs suddenly without warning. It has become very alarming, resulting in a catastrophic break followed by a flood wave at high speed with considerable loss of life and catastrophic damages to infrastructure and the environment. Given these circumstances, the community preparedness for disaster risk reduction (DRR) is important to strengthen disaster response strategies. It helps the community to understand the situations to face disaster and interact with present conditions with efficient manners. The research aims to investigate the community awareness and preparedness and the effectiveness of the DRR program toward dam-related disaster. In this research, two dams in Cameron Highland have been selected as sites study: Sultan Abu Bakar (SAB) Hydroelectric Scheme and its vicinity in Lembah Bertam; and Susu Dam and its vicinity in Pos Telanok. The research utilised questionnaire surveys as a data collection method, where Statistical Package Software SPSS Version 25 was used to analyse data. The finding indicates that an integrated community-based program is an effective approach to increase people's preparedness for the disaster. The result can assist local agencies and dam owners in formulating strategies for future DRR programs. Identifying these pertinent factors enables a greater understanding of the community's preparedness for disaster risk reduction (DRR) in both dams of Cameron Highlands.

scholarly journals Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2019

2019 ◽  
Vol 14 (9) ◽  
pp. 1139-1139
Author(s):  
Haruo Hayashi ◽  
Eiichi Fukuyama
Keyword(s):  
Natural Disasters ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Heavy Rainfall ◽  
Science And Technology ◽  
Volcanic Eruptions ◽  
Heavy Rain ◽  
Disaster Risk ◽  
Rain Event ◽  
Special Issue

The National Research Institute for Earth Science and Disaster Resilience (NIED) is working on three tasks: predicting disasters, preventing damage, and realizing speedy reconstruction and recovery efforts in the event of natural disasters such as earthquakes, tsunamis, volcanic eruptions, landslides, torrential rains, blizzards, and ice storms. In the last three years of the NIED’s fourth mid/long term plan period, which began in 2016, natural disasters have occurred every year, including earthquake disasters such as the 2016 Kumamoto earthquake (M7.3) and the 2018 Iburi, Hokkaido, earthquake (M7.1). Disasters of the rainfall include the heavy rainfall in the northern Kyushu (Fukuoka and Oita) in July 2017, the heavy rain event in southwestern Japan in July 2018, the rainfall in northern Kyushu (Saga) in August 2019, and the heavy rainfall in Kanto and Tohoku in October 2019. There were also other disasters: an avalanche accident on Nasudake in 2017 and a phreatic eruption of Kusatsu-Shiranesan in 2018. Due to the above-mentioned very frequent occurrence of such natural disasters on the Japanese islands, our institute has conducted several research projects to mitigate the damage from such disasters and to accelerate the recovery from them. As the third NIED special issue in the Journal of Disaster Research, several related research results were presented such as those on seismic disasters (Wakai et al., Nakazawa et al., and Ohsumi et al.), those on climatic disasters (Nakamura, and Ishizawa and Danjo), and those of their integrated researches for disaster risk reduction (Cui et al. and Nakajima et al.). Although the achievements detailed in these papers are the results of individual research, the NIED hopes that these results as a whole will be fully utilized to promote science and technology for disaster risk reduction and resilience. The NIED hopes that this special issue awakens the readers’ interest in new research and, of course, creates an opportunity for further collaborative works with us.

Congratulatory Message

2015 ◽  
Vol 10 (4) ◽  
pp. 576-576
Author(s):  
Takashi Onishi ◽  
Keyword(s):  
Disaster Risk Reduction ◽  
Nuclear Power ◽  
Leading Edge ◽  
Disaster Risk ◽  
Open Access Journal ◽  
World Conference ◽  
Disaster Reduction ◽  
Disaster Research ◽  
The Third ◽  
Fukushima Daiichi

First, let me express my heartfelt congratulations to the Journalof Disaster Research (JDR) on its tenth anniversary. TheThird UN World Conference on Disaster Risk Reduction, heldthis year in Sendai, Japan, is the third of three UN conferencesin the last three decades all held in Japan. This is partlybecause Japan is one country often subject to natural disasterswith man-made disasters following them. It is also becauseJapan has historically attempted to reduce and prevent disasterdamage. Lessons in tsunami disasters mainly learned from the 1933Showa Sanriku Earthquake Tsunami and 1960 Chile EarthquakeTsunami were tested in the 2011 Great East Japan EarthquakeDisaster. Concurrent tsunami damage and man-madeproblems arising in the Fukushima Daiichi nuclear power plantaccident were greatly exceeding anything predicted or imaginedand showed how Japan’s disaster reduction and preparednessefforts failed. In an ordeal on such an unprecedented scale, further lessonsmust be learned so that we may prepare better for impendinglarger disasters. Objectives of disaster research is to learn whatdisasters have to teach us scientifically and to find and proposemeasures that may help reduce disaster damage and help usimplement these measures. I believe that many researchers –particularly younger ones – now diligently and rapidly studyingin preparation for future disasters in view of what past researchmay have lacked. The results of their research should be channeledglobally into disaster reduction in Japan and elsewhere. As an international open-access journal, the JDR provides animportant forum for international research exchange in practicalways. It is my hope that the JDR will, on this occasion ofits tenth anniversary, continue to provide such a platform forwide-ranging leading-edge research, and that it will therebycontribute to building a society supremely resilient against disaster.

Special Issue on NIED Frontier Researches on Science and Technology for Disaster Risk Reduction and Resilience 2017

2017 ◽  
Vol 12 (5) ◽  
pp. 843-843
Author(s):  
Haruo Hayashi ◽  
Yuichiro Usuda
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Earth Science ◽  
Science And Technology ◽  
Volcanic Eruptions ◽  
Disaster Risk ◽  
Special Issue ◽  
Planning Period ◽  
Ice Storms ◽  
Information Communications Technology

In April 2016, our institute, NIED, under its new English name the “National Research Institute for Earth Science and Disaster Resilience,” commenced its fourth mid-to-long term planning period, set to last seven years. We are constantly required to carry out comprehensive efforts, including observations, forecasts, experiments, assessments, and countermeasures related to a variety of natural disasters, including earthquakes, tsunamis, volcanic eruptions, landslides, heavy rains, blizzards, and ice storms. Since this is NIED’s first special issue for the Journal of Disaster Research (JDR), works were collected on a wide variety of topics from research divisions and centers as well as from ongoing projects in order to give an overview of the latest achievements of the institute. We are delighted to present 17 papers on five topics: seismic disasters, volcanic disasters, climatic disasters, landslide disasters, and the development of comprehensive Information Communications Technology (ICT) for disaster management. Even though the achievements detailed in these papers are certainly the results individual research, NIED hopes to maximize these achievements for the promotion of science and technology for disaster risk reduction and resilience as a whole. It is our hope that this special issue awakens the readers’ interest in a study, and, of course, creates an opportunity for further collaborative works with us.

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