Special Issue on Disaster and Big Data Part 3

2018 ◽  
Vol 13 (2) ◽  
pp. 233-233
Author(s):  
Shunichi Koshimura
Keyword(s):  
Big Data ◽  
Natural Disasters ◽  
New Technologies ◽  
Social Systems ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Editorial Committee ◽  
Tsunami Disaster ◽  
New Findings ◽  
Working Together

The 2011 Great East Japan Earthquake and Tsunami Disaster left behind many lessons to learn, and there have since been many new findings and insights that have led to suggestions made and implemented in disaster observation, sensing, simulation, and damage determination. The challenges for mitigating the damage from future catastrophic natural disasters, such as the Tokyo Metropolitan Earthquake or the Nankai Trough Earthquake and Tsunami, are in how we share our visions of the possible impacts, how we prepare to mitigate the losses and damages, and how we enhance society’s disaster resilience. The huge amount of information obtained, called “disaster big data,” is related to the dynamic movement, as IoT, of a large number people, vehicles, and goods from inside and outside the affected areas. This has dramatically facilitated our understanding of how our society has responded to unprecedented catastrophes. The key question is how to utilize big data in establishing social systems that respond promptly, sensibly, and effectively to natural disasters, and in withstanding adversity with resilience. Researchers with various types of expertise are working together under a collaborative project called JST CREST “Establishing the advanced disaster reduction management system by fusion of real-time disaster simulation and big data assimilation.” The project aims to identify possible earthquake and tsunami disaster scenarios that occur and progress in a chained or compound manner and to create new technologies to lead responses and disaster mitigation measures to help society to recover from disasters. As we have published two previous special issues entitled “Disaster and Big Data” since 2016, this issue is our third. Included are 14 papers that aim to share the recent progress of the project as the sequel to Part 2, published in March 2017. As one of the guest editors of this issue, I would like to express our deep gratitude for the insightful comments and suggestions made by the reviewers and the members of the editorial committee. I do hope that this work will be utilized in disaster management efforts to mitigate the damage and losses in future catastrophic disasters.

Special Issue on Disaster and Big Data Part 2

2017 ◽  
Vol 12 (2) ◽  
pp. 225-225
Author(s):  
Shunichi Koshimura ◽  
Keyword(s):  
Big Data ◽  
Natural Disasters ◽  
New Technologies ◽  
Social Systems ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Special Issue ◽  
Editorial Committee ◽  
New Findings ◽  
Working Together

6 years have passed since the 2011 Great East Japan earthquake. Many new findings, insights and suggestions have been made and were implemented in disaster observation, sensing, simulation, and damage determination. The challenges for disaster mitigation against future catastrophic natural disasters, such as the Tokyo metropolitan earthquake and Nankai Trough earthquake, are how we share the visions of the possible impacts and prepare for mitigating the losses and damages, and how we enhance society’s disaster resilience. A huge amount of information called “disaster big data” obtained, which are related to the dynamic flow of a large number of people, vehicles and goods inside and outside the affected areas. This has dramatically facilitated our understanding of how our society has responded to the unprecedented catastrophes. The key question is how we use big data in establishing the social systems that respond promptly, sensibly and effectively to natural disasters, and in withstanding the adversities with resilience. Researchers with various expertise are working together under the collaborative project called JST CREST “Establishing the most advanced disaster reduction management system by fusion of real-time disaster simulation and big data assimilation.” The project aims to identify possible disaster scenarios caused by earthquake and tsunami that occur and progress in a chained or compound manner and to create new technologies to lead responses and disaster mitigation measures that encourages the society to get over the disaster. This special issue titled “Disaster and Big Data Part 2,” including 13 papers, aims to share the recent progress of the project as the sequel of Part 1 published in March 2016. As an editor of this issue, I would like to express our deep gratitude for the insightful comments and suggestions made by the reviewers and the members of the editorial committee.

Special Issue on Disaster and Big Data

2016 ◽  
Vol 11 (2) ◽  
pp. 163-163 ◽  
Author(s):  
Shunichi Koshimura ◽  
Keyword(s):  
Big Data ◽  
Natural Disasters ◽  
Social Systems ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Special Issue ◽  
Editorial Committee ◽  
New Findings ◽  
Large Populations ◽  
Working Together

In the years that have passed since the 2011 Great East Japan earthquake, many new findings, insights and suggestions have been made in disaster observation, sensing, simulation, and damage determination on the damage scene. Based on the lessons, challenges for disaster mitigation against future catastrophic natural disasters such as the anticipated Tokyo metropolitan and Nankai Trough earthquakes are made on how we will share visions of potential impact and how we will maximize society's disaster resilience. Much of the ``disaster big data" obtained is related to the dynamic flow of large populations, vehicles and goods inside and outside affected areas. This has dramatically facilitated our understanding of how society has responded to unprecedented catastrophes. The key question is how we will use big data in establishing social systems that respond promptly, sensibly and effectively to natural disasters how this understanding will affect adversity and resilience. Researchers from a wide variety of fields are now working together under the collaborative JST CREST project entitled ``Establishing the most advanced disaster reduction management system by fusion of real-time disaster simulation and big data assimilation." One objective of this project is to identify potential disaster scenarios related to earthquake and tsunami progress in a chained or compound manner and to create new techniques for responsive disaster mitigation measures enabling society to recover. This special issue on disaster and big data consists of 11 papers detailing the recent progress of this project. As an editor of this issue, I would like to express our deep gratitude for the insightful comments and suggestions made by the reviewers and the members of the editorial committee.

Special Issue on Disaster and Big Data Part 4

2019 ◽  
Vol 14 (3) ◽  
pp. 415-415
Author(s):  
Shunichi Koshimura
Keyword(s):  
Big Data ◽  
Natural Disasters ◽  
Disaster Management ◽  
New Technologies ◽  
Social Systems ◽  
Disaster Mitigation ◽  
Disaster Resilience ◽  
Editorial Committee ◽  
Tsunami Disaster ◽  
New Findings

The 2011 Great East Japan Earthquake and Tsunami disaster taught us many lessons. Many new findings, insights, and suggestions have been made and implemented in damage determination and in disaster observation, sensing, and simulation. The challenges in terms of mitigating damage from future catastrophic natural disasters, such as the expected Metropolitan Tokyo Earthquake and Nankai Trough Earthquake and Tsunami, are how we share the visions of the possible impacts and prepare to mitigate loss and damage, how we enhance society’s disaster resilience and the ability of society and social systems to prepare well, how we respond promptly and effectively to natural disasters, and how we apply lessons learned to future disaster management. In recent years, a huge amount of information known as “disaster big data,” including data related to the dynamic movement of a large number of people, vehicles, and goods as IoT, has been obtained to understand how our society responds to natural disasters, both inside and outside the affected areas. The key question is how to utilize disaster big data to enhance disaster resilience. Researchers with various areas of expertise are working together in a collaborative project called JST CREST: “Establishing the Most Advanced Disaster Reduction Management System by Fusion of Real-Time Disaster Simulation and Big Data Assimilation.” The project aims to identify possible disaster scenarios caused by earthquakes and tsunamis that occur and progress in a chained or compound manner, as well as to create new technologies to lead responses and disaster mitigation measures that help societies recover from disasters. Since 2016, we have published three special issues entitled “Disaster and Big Data,” and now we will publish a fourth one which includes 10 research papers and 1 report. These aim to share the recent progress of the project as a sequel to Part 3, published in March 2018. As a guest editor of this issue, I would like to express our deep gratitude for the insightful comments and suggestions made by the reviewers and members of the editorial committee. It is my hope that the fruits of everyone’s efforts and outcomes will be utilized in disaster management efforts to mitigate damage and losses from future catastrophic disasters.

scholarly journals Questionable Reform: The Adoption of the Double-Entry Bookkeeping and Accrual Basis Accounting System in Korea

2018 ◽  
Vol 33 (1) ◽  
pp. 57-80
Author(s):  
Im Tobin ◽  
Lee Hyunkuk ◽  
Lim Dongwan
Keyword(s):  
Physical Properties ◽  
Natural Disasters ◽  
State Level ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
School Buildings ◽  
Accounting System ◽  
Seismic Evaluation ◽  
Political Factors ◽  
Double Entry

This study examines the factors that influence human vulnerability to natural disasters by focusing on the seismic evaluation of school buildings in Korea. Since natural disasters such as an earthquake often do not take people’s lives directly, but rather indirectly through the destruction of physical structures, seismic reinforcement of school buildings may reduce the vulnerability of their occupants by strengthening structures to withstand such disasters. Disaster mitigation measures are implemented within a state; however, little is known about how they are distributed when the physical properties of structures are taken into account. This paper analyzes a panel data based on the structural properties of school buildings in eight different provinces between 2011 and 2015 using a logistic regression model. The results show that factors identified in cross-country studies, such as economic capacity and political factors, still have influence on earthquake preparedness at the state level, even when the physical properties of structures or technical factors are considered.

Special Issue on Adaptation to Global-Warming-Triggered Disasters

2009 ◽  
Vol 4 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Syunsuke Ikeda
Keyword(s):  
Global Warming ◽  
Greenhouse Gases ◽  
Natural Disasters ◽  
Rural Areas ◽  
Central Government ◽  
Social Systems ◽  
Disaster Mitigation ◽  
Medium Size ◽  
Global Changes ◽  
Special Issue

The Committee on Disaster Mitigation under Global Changes of Natural and Social Environments, Science Council of Japan (SCJ), issued on May 30, 2007 a report, “Policies for Creation of a Safe and Secure Society against Increasing Natural Disasters around the World”. The report, which includes an outline of Japan’s past responses to natural disasters of a global scale, provides a comprehensive discussion of a desirable direction for the development of infrastructure and social systems to meet the forthcoming changes in nature and society. Based on the report, the committee reported to the Minister of Land, Infrastructure and Transport, in response to the minister’s former inquiry. Another report was issued on countermeasures by adaptation to water-related disasters, following the former report and the result of discussions made in the subcommittee on June 26, 2008. This special issue of JDR is based on the latter report of Science Council of Japan. In Japan, over the past 30 years, the number of days of heavy rain with a daily rainfall of 200 mm or more have increased to about 1.5 times that of the first 30 years of the 20th century. It has been pointed out that this is likely to have been caused by global warming. The Fourth report of the IPCC indicates that even low-end predictions implies an unavoidable temperature rise of about 2°C, and, even if the concentration of greenhouse gases is stabilized, the ongoing warming and sea level rise will continue for several centuries. In terms of social systems, population and assets are increasingly concentrated in metropolitan areas. At the same time, economic recession and aging of the population are accelerating especially in rural areas. The central parts of small- and medium-size cities have lost vitality, and so-called marginal settlements are increasing in farming, forestry and fishing villages. These factors make it difficult and complicated to maintain social functions to fight with natural disasters. Under these circumstances, it is quite important in our country to take an action for adaptation to climate changes, where land is vulnerable to water-related disasters. The need for adaptation has widely been recognized in Europe, and various reports have been issued there. In Japan, initiatives to reduce greenhouse gases emission are being actively discussed, but both the central government and the people still do not fully recognize the importance of adaptation to water-related disasters. Elsewhere, increases in extreme weather and climate events have caused flood disasters, such as those that have been occurring with larger frequency in the downstream deltas of Asian rivers. The latter type of disaster is exemplified by the unprecedented huge flood disaster that occurred in Myanmar in May in the last year. The increase of population in Asia will induce shortage of water resources in near future. Japan, which is in the Asian Monsoon Region, has a natural and social geography similar to these countries. Japan should implement strong assistance programs based on accumulated knowledge and advanced technologies developed. To treat the adaptations mentioned in the above, there are many components to be considered such as follows: (1) Reliable assessment of future climate, economic and social situation such as population. (2) Developing physical and social infrastructures. (3) Building disaster awareness and preparation in communities. (4) Planning for recovery and restoration. (5) Research and development for adaptation. (6) International contributions for preventing water-related disasters. In this special issue of JDR, these subjects are treated in series by introducing 5 papers written by leading researchers and engineer worked in the central government. However, the details of international contributions could not be included in this issue.

scholarly journals LOCAL WISDOM AND NATURAL DISASTER IN WEST SUMATRA

2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Syafwan Rozi
Keyword(s):  
Natural Disasters ◽  
Architectural Design ◽  
Social Systems ◽  
Indigenous Communities ◽  
Disaster Mitigation ◽  
A Value ◽  
Social Events ◽  
The Social ◽  
West Sumatra ◽  
Depth Interviews

<p>Community-based disaster management is an attempt to optimize the potential of social and local values in communities to facilitate the handling of natural disasters. West Sumatra as one of the disaster-prone areas in Indonesia has a number of local wisdom values—a value combining religion and local culture—rooted in traditional philosophy; “Adat Basandi Syara’, Syara’ Basandi Kitabullah”. The examples of those local wisdoms are customary ideas or proverbs in the form of legend and expressions, architectural design of the traditional house—“Rumah Gadang”—and the structure of the environment as well as the social systems of kinship and traditional administration in the form of Nagari. This research employed qualitative method by using ethnography approach. The data were collected through observations, participation in social events, and in-depth interviews. Those techniques were applied to obtain the valid information and the meaning of events and behaviors comprehensively. The local values applied by the indigenous communities as the victims of natural disasters in some regions of West Sumatra include “Badoncek” tradition in Nagari Tandikat Padang Pariaman, the architecture of “Rumah Gadang” in Nagari Sungayang, Tanah Datar and disaster mitigation based on district in Nagari Kubang Putiah Agam.</p><p><br />Managemen bencana berbasis masyarakat merupakan upaya untuk mengoptimalkan potensi sosial dan nilai-nilai lokal yang dimiliki masyarakat untuk memudahkan proses penanganan bencana alam. Sumatera Barat sebagai salah satu daerah rawan bencana di Indonesia, memiliki sejumlah nilai kearifan lokal, sebuah nilai yang memadukan antara agama dan budaya lokal yang termaktub dalam filosofi adat; Adat Basandi Syara’, Syara’ Basandi Kitabullah. Di antara kearifan lokal itu adalah ide atau pepatah adat dalam bentuk tambo dan ungkapan-ungkapan, tata ruang rumah adat dari segi arsitektur rumah gadang dan penataan lingkungannya serta sistem sosial kekerabatan dan pemerintahan adat dalam bentuk nagari. Penelitian ini menggunakan metode kualitatif dengan pendekatan etnografi. Pengumpulan data dilakukan melalui observasi, keterlibatan dalam kegiatan masyarakat dan wawancara mendalam. Teknik-teknik ini dilakukan untuk mendapat informasi yang valid dan mendalam serta menghayati makna atau arti peristiwa dan tingkah laku secara komprehensif. Adapun nilai-nilai kearifan lokal yang diterapkan komunitas adat di Sumatera Barat meliputi tradisi badoncek di Nagari Tandikat Padang Pariaman, arsitektur dan tata kelola rumah gadang di Nagari Sungayang Tanah Datar serta mitigasi bencana berbasis nagari di Nagari Kubang Putiah Kabupaten Agam.</p>

scholarly journals Statistical contributions to bioinformatics: Design, modelling, structure learning and integration

2017 ◽  
Vol 17 (4-5) ◽  
pp. 245-289 ◽  
Author(s):  
Jeffrey S. Morris ◽  
Veerabhadran Baladandayuthapani
Keyword(s):  
Feature Extraction ◽  
Big Data ◽  
Experimental Design ◽  
New Technologies ◽  
Structure Learning ◽  
Deep Understanding ◽  
Whole Genome ◽  
Methods Development ◽  
Working Together ◽  
Available Information

The advent of high-throughput multi-platform genomics technologies providing whole- genome molecular summaries of biological samples has revolutionalized biomedical research. These technologiees yield highly structured big data, whose analysis poses significant quantitative challenges. The field of bioinformatics has emerged to deal with these challenges, and is comprised of many quantitative and biological scientists working together to effectively process these data and extract the treasure trove of information they contain. Statisticians, with their deep understanding of variability and uncertainty quantification, play a key role in these efforts. In this article, we attempt to summarize some of the key contributions of statisticians to bioinformatics, focusing on four areas: (1) experimental design and reproducibility, (2) preprocessing and feature extraction, (3) unified modelling and (4) structure learning and integration. In each of these areas, we highlight some key contributions and try to elucidate the key statistical principles underlying these methods and approaches. Our goals are to demonstrate major ways in which statisticians have contributed to bioinformatics, encourage statisticians to get involved early in methods development as new technologies emerge, and to stimulate future methodological work based on the statistical principles elucidated in this article and utilizing all available information to uncover new biological insights.

scholarly journals Tsunami Hazard Mitigation at Palabuhanratu, Indonesia

2012 ◽  
Vol 7 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Yuichiro Tanioka ◽  
◽  
Hamzah Latief ◽  
Haris Sunendar ◽  
Aditya Riadi Gusman ◽  
...  
Keyword(s):  
Local Government ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Height Distribution ◽  
Tsunami Height ◽  
Plate Interface ◽  
Tsunami Disaster ◽  
Inundation Area ◽  
Evacuation Routes ◽  
Andaman Earthquake

Several large earthquakes have recently occurred along the Sumatra-Java subduction zone, the 2004 great Sumatra-Andaman earthquake, the 2005 great Nias earthquake, the 2006 West Java tsunami earthquake, the 2007 great Bengkulu earthquake, and the 2010Mentawai tsunami earthquakes. Serious tsunami disasters were caused by the great underthrust earthquakes which ruptured the plate interface near the trench such as the 2004 Sumatra-Andaman, 2006West Java, 2010Mentawai earthquakes. At Palabuhanratu, maximum tsunami height distribution and inundation areas were computed from expected fault models located near the Java trench. The results shows that the most populated areas of Palabuhanratu would be severely damaged by the expected tsunami caused by the fault model of Mw 8.5. After discussing tsunami disaster mitigation measures with the local government, the result of tsunami inundation area in this study were used to decide tsunami evacuation areas and evacuation routes. The local government also installed tsunami evacuation sign boards near the coast.

scholarly journals DISASTER RISK MANAGEMENT in PALU CITY

2019 ◽  
Author(s):  
muhammad ahsan samad
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Tsunami Disaster ◽  
Community Preparedness ◽  
The Many ◽  
The City

Palu City is one of the provincial capitals in Indonesia which is right on the Equator line. In addition, this city is one of the many regions in the eastern part of Indonesia that have a considerable potential for natural disasters. The natural disaster that occurred in Palu on September 28, 2018 consisted of three types of disasters, the first was an earthquake, the second tsunami and the last was liquefaction. This natural disaster caused damage to supporting infrastructure and thousands of people died. The large number of fatalities illustrates that the preparation and preparedness of the community and local government authorities are still low, mainly due to a lack of knowledge and concern for these natural phenomena and their consequences. The earthquake and tsunami disaster that took place in the city of Palu Sigi and Donggala was a momentum to change the paradigm of disaster management by increasing community preparedness. This research tells the story of the phenomenon of the three natural disasters, also tried to explain the steps and design of disaster mitigation. Disaster Mitigation must be implemented to reduce the risk of natural disasters. Public policy about community preparedness towards disaster management is very important and urgent to do in order to reduce disaster risk. Disaster cases in Palu City as a case study are considered relevant for the implementation of disaster management systems.

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