scholarly journals MapXtreme Resolution for Internet Publication of Natural Disaster Information in Earthquake Engineering Based on ANN

2011 ◽  
Vol 1 ◽  
pp. 4-9
Author(s):  
Qingjie Zhu ◽  
Jing Chen
Author(s):  
Ezra Gayu ◽  
Pradityo Utomo ◽  
Dwi Nor Amadi

Development Natural Disaster Information Geografis System is a website service utilizing digital map service. To facilitate the Regional Disaster Management Agency (BPBD) and the Community of Madiun Regency in providing and receiving information about the occurrence of Natural Disasters in Madiun District, the need for the application of information systems. The information system can display the points where the Natural Disasters occur. With the Information System, everyone can see the location of the map of the disaster occurrence area along with the description of the area. in this study developed a "Natural Disaster Information System at Madiun district". System development using Build and Fix method, because it is considered fast in making the system. The built system can be expected to assist BPBD officers in performing their duties. So that the system built must have the ability to form information accurately the occurrence of natural disasters. Therefore, the disaster information system in Madiun district has been tested using blackbox method, with 100% system success rate. Keywords : Web, Madiun District, Natural Disaster, Information Geografis System, Build and Fix, Blackbox


2009 ◽  
Vol 4 (4) ◽  
pp. 529-529
Author(s):  
Masato Motosaka

Japan and many other counties face the risk of the natural disaster such as earthquakes, tsunamis, and floods. Natural disaster mitigation research and development are providing important, practical applications based on the development of the scientific technology. One major contribution is early warning system, being backed by observation and communication technology progress. Early warning research and development have been extensively studied domestically and internationally. Specifically, recent developments in earthquake engineering research and construction of seismic dense network have made it possible to issue earthquake warnings before the arrival of severe shaking. Such warnings enable emergency measures to be taken to protect lives, buildings, infrastructure, and transport from earthquake depredations. One such system went into practical use nationwide in Japan starting on October 1, 2007. Development has been conducted with cooperation of government, academic community and non-government, and private organizations. This special issue features papers on the early warning system for the natural disastermitigation covering issues ranging from natural science to social science. The recent developed earthquake early warning technology and its applications will be introduced. Besides earthquakes, the recent early warning technology for tsunami and flood are also included in this issue. The warning time available for tsunami and flood is much longer than that for earthquakes, and the contribution of numerical calculation using the real-time observation data differs with the type of disaster. Finally I would like to express my deepest gratitude for anonymous reviewers of papers in this special issue.


Author(s):  
J. Kang ◽  
S. Yeon ◽  
J. Lee

<p><strong>Abstract.</strong> Typical types of natural disasters that occur in Korea are damages from heavy rain, storm, and heavy snow. In order to prepare for this, the storm and flood damage insurance program is operated. For this purpose, the risk of these damages is calculated for each region, and the storm and flood damage insurance map is created based on the risk. This map can provide insight into the degree of risk to wind and flood, snow damage, as well as policies to prevent and prepare for each type of natural disaster. In order to support decision-making by utilizing this insurance map, it is necessary to use with disaster Information contents. In order to efficiently construct such disaster information contents, it is possible to utilize public data produced by various organizations. Korea has a public data portal to open various administrative information. The public data portal currently publishes and updates about 25,000 data from 700 organizations. In this study, the linkage system is designed that can construct disaster information contents by collecting public data and processing it so that it can be overlapped with the insurance map. The system automatically links public data to keep up-to-date disaster information content. It is expected that it will be able to prevent and prepare for natural disaster by supporting the decision making of decision makers related to flood damage.</p>


Author(s):  
S. Yeon ◽  
J. Kang ◽  
I. Lee

<p><strong>Abstract.</strong> Typical types of natural disasters that occur in Korea are damages from heavy rain, storm, and heavy snow. In order to prepare for this, the storm and flood damage insurance program is operated. For this purpose, the risk of these damages is calculated for each region, and the storm and flood damage insurance map is created based on the risk. This map can provide insight into the degree of risk to wind and flood, snow damage, as well as policies to prevent and prepare for each type of natural disaster. In order to support decision-making by utilizing this insurance map, it is necessary to use with Storm and Flood Damage Information contents. In order to efficiently construct such disaster information contents, it is possible to utilize public data produced by various organizations. Korea has a public data portal to open various administrative information. The public data portal currently publishes and updates about 25,000 data from 700 organizations. In this study, the linkage system is designed that can construct disaster information contents by collecting public data and processing it so that it can be overlapped with the insurance map. The system automatically links public data to keep up-to-date disaster information content. It is expected that it will be able to prevent and prepare for natural disaster by supporting the decision making of decision makers related to flood damage.</p>


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