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Estimation of Flood Risk on the Roads Using Current Accumulated Rainfall via RSS Service of Weather Center

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Future Information Communication Technology and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 235))

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Abstract

As the frequent occurrence of localized heavy rainfall due to abnormal climate and rapid urbanization, urban flood inundation is increasing unlike in the past. Especially the isolation of drivers and traffic congestion by flooding of the roads give considerable damage economically. In this study, the degrees of Flood Risk on the roads are estimated quantitatively using current accumulated rainfall on a rainy day via RSS Service of Weather Center. It should be effective that the isolation of drivers by flooding will be prevented beforehand.

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References

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Acknowledgments

This research was supported by a grant ‘A Development of the Safety Route System in Inundation Area based on Smartphone’ [NEMA-NH-C-D-2012-0243] from the Natural Hazard Mitigation Research Group, National Emergency Management Agency of Korea.

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Authors and Affiliations

  1. Interdisciplinary Program of Information Systems, Pukyong National University, 45, Yongso-ro, Nam-Gu, Busan, 608-737, South Korea

    Eunmi Kim & Hyun Suk Hwang

  2. Department of IT Convergence and Application Engineering, Pukyong National University, 45, Yongso-ro, Nam-Gu, Busan, 608-737, South Korea

    Chang Soo Kim

Authors
  1. Eunmi Kim
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  2. Hyun Suk Hwang
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  3. Chang Soo Kim
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Corresponding author

Correspondence to Chang Soo Kim .

Editor information

Editors and Affiliations

  1. , Computer Engineering, Paichai University, Baejae-ro, Seo-gu 155-40, Daejeon, 302-735, Korea, Republic of (South Korea)

    Hoe-Kyung Jung

  2. , Electronic Engineering, Mokwon University, Doanbookro, Seo-Ku 88, Daejeon, 302-729, Korea, Republic of (South Korea)

    Jung Tae Kim

  3. PO Box 2434, Electrical Engineering, QUT Gardens Point, George Street 2, Brisbane, 4001, Queensland, Australia

    Tony Sahama

  4. Normal University, Graduate Institute of Information, National Kaohsiung, No.116, Heping 1st Rd., Lingya District, Kaohsiung City, 80201, Kao-hsiung, Taiwan R.O.C.

    Chung-Huang Yang

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Kim, E., Hwang, H.S., Kim, C.S. (2013). Estimation of Flood Risk on the Roads Using Current Accumulated Rainfall via RSS Service of Weather Center. In: Jung, HK., Kim, J., Sahama, T., Yang, CH. (eds) Future Information Communication Technology and Applications. Lecture Notes in Electrical Engineering, vol 235. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6516-0_106

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  • DOI: https://doi.org/10.1007/978-94-007-6516-0_106

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6515-3

  • Online ISBN: 978-94-007-6516-0

  • eBook Packages: EngineeringEngineering (R0)

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