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Historical Typhoon Search Engine Based on Track Similarity.
Meng-Han Tsai1, Hao-Yung Chan1, Chun-Mo Hsieh2
1Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan.
International Journal of Environmental Research and Public Health
|December 11, 2019
Summary
This study enhances typhoon track analysis by introducing the recentness dominance principle (RDP) and improving similarity calculations. A new search engine helps users find historical typhoon data for better disaster preparedness.
Area of Science:
- Meteorology and Climatology
- Disaster Management and Emergency Response
- Data Science and Computational Methods
Background:
- Typhoon track is a critical factor influencing damage extent during emergency response.
- Historical typhoon data can inform decision-making for anticipating impacts and developing prevention strategies.
- Previous work proposed a track similarity algorithm and search engine but lacked thorough discussion and efficient calculation for large datasets.
Purpose of the Study:
- To introduce the recentness dominance principle (RDP) for typhoon track analysis.
- To detail and refine the track similarity algorithm, including parameter setting.
- To improve the efficiency of similarity calculations and develop a tool for auto-importing forecast data.
Main Methods:
- Incorporation of the recentness dominance principle (RDP) into the track similarity algorithm.
- Detailed exploration and completion of parameter setting for the algorithm.
- Development of an efficient method for calculating similarity across numerous historical typhoon tracks.
- Implementation of a new information display panel with auto-import functionality for forecast data.
Main Results:
- The refined track similarity algorithm, incorporating RDP, provides more efficient calculations.
- The enhanced search engine effectively processes large historical typhoon track records.
- The new system allows for the auto-import of upcoming typhoon forecast data.
- Decision-makers and the public gain access to a concise and user-friendly tool for searching similar historical typhoon records.
Conclusions:
- The developed methodology significantly improves the efficiency and utility of searching historical typhoon data.
- The recentness dominance principle (RDP) offers a valuable approach to typhoon track similarity analysis.
- The enhanced search engine serves as a practical tool for disaster preparedness and risk assessment.
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