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International Conference on Big Data Technologies and Applications

BDTA 2017: Big Data Technologies and Applications pp 74–83Cite as

Pattern Analysis of Natural Disasters in the Philippines

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Abstract

The Philippines is one of the most vulnerable countries to natural disasters due to its geographical location. Natural disasters such as storms, floods, earthquakes, and droughts often occur which bring threat and disturbance to people. Its frequency and severity are probable to increase since there are many studies linking its relationship with climate change. This study analyzed the frequency of natural disasters occurred from the dataset provided by the CRED EM-DAT to identify the patterns from a specified period from 1980–2012. The Results revealed that there is a drastic increase in the frequency of storms that hit the Philippines for more than three (3) decades from 1980 to 2012. Storms, floods, and volcanic eruptions remain the top 3 natural disasters that affect the entire country. There is an increase of 147% from 1980–2012. Thus, the natural disasters are extensively aggravating several industries in the Philippines. The results also indicate that the frequency of natural disasters is more likely increase in the future.

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Acknowledgments

The authors deeply appreciate the constructive comments and suggestions by the anonymous reviewers of the conference.

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Authors and Affiliations

  1. College of Information Technology Education, Technological Institute of the Philippines, Manila, Philippines

    Marie Elaine Joyce N. Garcia & Alexander A. Hernandez

Authors
  1. Marie Elaine Joyce N. Garcia
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  2. Alexander A. Hernandez
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Correspondence to Marie Elaine Joyce N. Garcia .

Editor information

Editors and Affiliations

  1. Chung-Ang University, Seoul, Korea (Republic of)

    Jason J. Jung

  2. Chosun Unversity, Gwangju, Korea (Republic of)

    Pankoo Kim

  3. Department of Computer Engineering, Chung-Ang University, Seoul, Korea (Republic of)

    Kwang Nam Choi

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Garcia, M.E.J.N., Hernandez, A.A. (2018). Pattern Analysis of Natural Disasters in the Philippines. In: Jung, J., Kim, P., Choi, K. (eds) Big Data Technologies and Applications. BDTA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-98752-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-98752-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98751-4

  • Online ISBN: 978-3-319-98752-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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