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Titel |
Development of a Disaster Information Visualization Dashboard: A Case Study of Three Typhoons in Taiwan in 2016 |
VerfasserIn |
Wen-Ray Su, Yuan-Fan Tsai, Kuei-Chin Huang, Ching-En Hsieh |
Konferenz |
EGU General Assembly 2017
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 19 (2017) |
Datensatznummer |
250142578
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Publikation (Nr.) |
EGU/EGU2017-6214.pdf |
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Zusammenfassung |
To facilitate disaster response and enhance the effectiveness of disaster prevention and relief,
people and emergency response personnel should be able to rapidly acquire and understand
information when disasters occur. However, in existing disaster platforms information is
typically presented in text tables, static charts, and maps with points. These formats do not
make it easy for users to understand the overall situation. Therefore, this study converts data
into human-readable charts by using data visualization techniques, and builds a disaster
information dashboard that is concise, attractive and flexible. This information dashboard
integrates temporally and spatially correlated data, disaster statistics according to category
and county, lists of disasters, and any other relevant information. The graphs are
animated and interactive. The dashboard allows users to filter the data according to
their needs and thus to assimilate the information more rapidly. In this study, we
applied the information dashboard to the analysis of landslides during three typhoon
events in 2016: Typhoon Nepartak, Typhoon Meranti and Typhoon Megi. According
to the statistical results in the dashboard, the order of frequency of the disaster
categories in all three events combined was rock fall, roadbed loss, slope slump,
road blockage and debris flow. Disasters occurred mainly in the areas that received
the most rainfall. Typhoons Nepartak and Meranti mainly affected Taitung, and
Typhoon Megi mainly affected Kaohsiung. The towns Xiulin, Fengbin, Fenglin and
Guangfu in Hualian County were all issued with debris flow warnings in all three
typhoon events. The disaster information dashboard developed in this study allows the
user to rapidly assess the overall disaster situation. It clearly and concisely reveals
interactions between time, space and disaster type, and also provides comprehensive
details about the disaster. The dashboard provides a foundation for future disaster
visualization, since it can combine and present real-time information of various
types; as such it will strengthen decision making in disaster prevention management. |
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