Establishment of Integrated Disaster Response System through the Analysis of Disaster Response Work
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00:00
Dependent and independent variablesDISMAMathematical analysisSystem programmingDisintegrationContent (media)Physical systemScale (map)Similarity (geometry)AverageDirected setSound effectDecision theoryInformationProcess (computing)Data recoverySelf-organizationObservational study1 (number)Data managementRaw image formatInformationDependent and independent variablesPhysical systemCommunications systemData recoveryData managementCore dumpTask (computing)MathematicsThermal conductivityMenu (computing)Characteristic polynomialEvent horizonLattice (order)Multiplication signShared memoryType theoryDialectDifferent (Kate Ryan album)Electric generatorAdditionInformation systemsHydraulic jumpNormal (geometry)Network topologyMedical imagingAreaTouchscreenObservational studyRight angleMeasurementAverageWeb 2.0Mathematical analysisPresentation of a groupScaling (geometry)MereologyPoint (geometry)Process (computing)Self-organizationContent (media)Direction (geometry)Level (video gaming)BitScheduling (computing)Web applicationResultantInternet service providerProcedural programmingWhiteboardSmoothingProper mapNatural numberComputer animation
06:53
Physical systemData managementInformationDependent and independent variablesSystem programmingContrast (vision)Data recoveryMathematical analysisExplosionDisintegrationPlastikkarteDISMAData conversionInformationObservational studyPhysical systemProcess (computing)Task (computing)File formatResultantMultiplication signDifferent (Kate Ryan album)Real-time operating systemFunctional (mathematics)Natural numberExistenceEvent horizonSimulationShape (magazine)Term (mathematics)Local ringNumberDependent and independent variablesPattern languageAreaVulnerability (computing)Neighbourhood (graph theory)Shared memoryState observerExpressionLevel (video gaming)Integrated development environmentType theoryData managementSoftware developerRepresentation (politics)Traffic reportingInformation systemsSoftware testingOffice suiteWeb 2.0Metropolitan area networkLogicPlanningDecision theoryOrder (biology)Similarity (geometry)RadiusBit rateFood energyUltraviolet photoelectron spectroscopyWordInsertion loss2 (number)Utility softwareComputer animation
13:40
DISMADependent and independent variablesSoftware testingTime zoneInformationWebsiteDependent and independent variablesPhysical systemWebsiteInformationTraffic reportingFood energyForestVideoconferencingTheory of relativityFile formatWeb 2.0Wave packetThermal conductivityOffice suiteRepetitionTouchscreenLocal ringCoordinate systemType theoryArchaeological field surveySoftware testingMereologyComputer animation
15:13
Data managementDirected setSound effectAverageInformationFunction (mathematics)Observational studyPhysical systemTraffic reportingScaling (geometry)Physical systemDependent and independent variablesInformationData managementMultiplication signPresentation of a groupReal numberAreaResultantDenial-of-service attackArchaeological field surveyShared memoryComputer animation
16:44
Sign (mathematics)PowerPointWeb pageEmailComputer fileProbability density functionData conversionFreewarePhysical systemSound effectDirected setAverageFunction (mathematics)InformationView (database)WindowSource codeXMLComputer animation
Transcript: English(auto-generated)
00:12
So, hello everybody again and welcome to this Phosphorgy session. Our next speaker is not this one because the schedule has changed a bit according to my paperwork.
00:25
The next speaker is Jinyi Park, I don't know if I am pronouncing this correctly. Jinyi Park with establishment of integrated disaster response system through the analysis of disaster response work. So, welcome!
00:52
Hello, I am Jinyi Park of National Disaster Management Research Institute. I will present under the subject of establishment of integrated disaster response system through the analysis of disaster response work.
01:09
The NDMI is short name National Disaster Management Research Institute is from Korea. I work at a government research institute that study how to predict a disaster and reduce damage.
01:29
So, today's presentation is about the result of establishing web-based disaster information system and applying it to work in the event of typhoon.
01:44
So, I think it would be nice to hear that Korea is conducting a map-based disaster situation management like this way. Content is organized as shown on the screen.
02:04
The most occurring type of natural disaster in Korea is typhoon. Typhoons usually occur in summer and fall. On average, more than three typhoons will have direct and indirect impact on Korea.
02:22
The areas where were damaged mainly are in the lower right-hand corner of Korea, marked and red on the screen. Damage caused by typhoons occurs every year, but areas where damage is caused have not been reduced.
02:44
So, we need to think about the same system of monitoring with disaster in the event of them. The main problem mentioned after typhoon each year is that the government's ability to respond is poor.
03:01
In Korea, in preparation of disasters, each government agency designates and operates a response organization. However, the process is that disaster from occurring and recovery is not being carried out properly.
03:25
As an example, the damage caused by typhoon Chaba in 2016 is yet to be fully recovered. Reviewers should be carried out by reason on the cost of damage, but they are not.
03:49
So, the scale of the damage has not been reduced. The system is established and operated to respond with typhoon situations in different regions.
04:03
But a smooth communication system between workers is rarely established. In this study, we built a situation board to monitor the disaster based on the web. There are three main types of studies.
04:21
First, among the numerous existing information scattered across government agencies, the information needed to respond to a disaster situation was classified. The method of linking classified information within the system was applied with consideration.
04:44
Second, the system applied the work procedure for conducting situation response in Korea in the event of disaster. Third, in the event of typhoon, the system built in this study was applied and the improvement measures of the system were also derived.
05:17
Before we release the study, let me explain about Korea's disaster management system first.
05:26
In Korea, government agencies that deal with a situation and conduct interim judgment in the event of disaster are not allowed to do so. We made it regular. Regularly designated agencies have been allowed to perform
05:46
their duties without distinction between normal times and when a disaster occurs. We also managed the information needed for situation response and the information procedure.
06:06
In addition, the organization has established and operated a system where information and work can be shared with local governments through a central meeting in the event of a disaster.
06:22
However, the tasks and information shared through the central meeting are difficult for each local government to utilize. Constant instructions that do not take into account regional characteristics do not provide accurate information delivery and situationally judgment.
06:52
In Korea, there are many manuals for responding tasks and information by type of disaster. From small cities to big cities, there is a process of collecting and disseminating information.
07:12
Information that matters to each other is different. The smallest cities want detailed information to refer to Dimeji.
07:24
The largest city wants statistical information, counting the number of small cities affected. This is the conclusion reached through our interview with local government officials in charge of disaster response.
07:43
There are many other problems, but in this study, the agency that oversees the simulation in the event of a disaster is using information that is not clear in reality when it carries out a disaster under Dimeji.
08:04
The difference in thinking about one disaster and the existence of information difference is delaying the response of the situation. Among them, the study focuses on reducing the difference in information built in the time of the disaster.
08:29
Based on the result of the investigation into the problem described earlier, the SVB system built in this
08:42
study was constructed as to what format the task should be capable of in the event of the typhoon. In Korea, the typhoon situation is divided into four steps to respond with the situation.
09:02
Information used at each step was organized based on the result of a manual and interview with the person in response work. The major tasks were focused on preparation and response steps.
09:23
It was important to share weather and Dimeji informations. In addition, this system was organized so that information collected in real time and Dimeji information
09:40
could be monitored simultaneously and for daily reporting to hire autologists in the event of a disaster. This system called SVB built in this study is a representative research result of the NDMI.
10:09
The development began in 2015 and has become a system currently used by government agencies. It is a system specialized for monitoring typhoons, earthquakes, and heavy rain among these disaster types.
10:29
It also provides an environment where research results performed by researchers can be tested on a map. There are three main features of the SVB.
10:47
Correcting, displaying, and sharing information. Correcting and analyzing information produced by each institution. For example, the alarm information is provided by analyzing methodological information, CCTV, and weather special observed in real time.
11:10
Displaying, it helps all workers to interpret the disaster situation, real time information, and information
11:22
that system users have can be shown on one map to interpret the disaster equally. Sharing is a web-based system that can disseminate and sharing common information to all workers.
11:46
There are three functions that are most utilized in managing disaster situation in the SVB system that are helpful to response.
12:04
First, we use a lot of information that express text information in the system based on location. Through this process, weather and accident information will be provided at the same time.
12:21
Alarm information is provided in areas where danger is expected. And opinion can be shared with the workers in the area are so utilized. Second, information held by region is uploaded to the system and monitored in real time with observed information in real time.
12:50
This makes it easy to share information with areas and neighborhoods where risk is expected. Third, it is a function to compare past and present.
13:04
This function takes into account the continuing weakness of many disaster areas in the past given the pattern of natural disaster in Korea. This helps improve disaster management major for previously vulnerable areas.
13:28
You can also estimate the disaster damage compared to the past in terms of the size and shape of the current disaster.
13:42
In Korea, there are manuals for response tests and information by type of disaster. Using the SVB system, we conduct a disaster response based on the typhoon that occurred this summer.
14:02
In fact, PLO training and training of local personnel was carried out prior to the situation response. The SVB system is a web-based system that is managed by issuing user accounts.
14:21
The information provided in relation to the typhoon in SVB is shown on the screen in the video. This video doesn't work. This part is PDF, sorry. For example, information about the typhoon and weather information, survey reports, etc.
14:51
The system was allowed to be accessed through the web to facilitate the coordination of opinion between investigators on the site.
15:04
Those who analyzed the situation in the office and those who judged the situation. The results of typhoon situation management using SVB were able to derive their own results.
15:26
The local residents were evacuated by providing alarm information in areas where flooding is expected. The actual damage scale was calculated through sharing of field survey reports, etc.
15:46
Also, if the government had previously devoted time to correcting and integrating information, it could now spend time on how to respond to the situation and how to aggregate the damage.
16:09
We will study how we can improve our disaster response capabilities in the future and complement the SVB system. I will finish the presentation. Thank you for your attention.
16:29
Thank you, Jingi. Now we have some time for questions. Come on, making a question is free.
16:41
Really? Well, if there are no questions, then thank you so much, Jingi, for coming to FOSS4G.