Sensitivity Analysis of Coastal Flooding to Geographical Factors: Numerical Model Study on Idealized Beaches

Authors

  • Chanyut Kalakan Burapha University
  • Anurak Sriariyawat Chulalongkorn University
  • Sittichai Naksuksakul PTT Public Company Limited
  • Thamnoon Rasmeemasmuang Burapha University

DOI:

https://doi.org/10.4186/ej.2016.20.1.1

Keywords:

Coastal flooding, coastal vegetation, friction factor.

Abstract

This study evaluated the potential of coastal trees to reduce flooding areas caused by waves with abnormal heights, such as storm surges, using a numerical model applied to idealized beaches. The study considered 5 factors that affect sensitivity of coastal areas to flooding: slope of the beach, bottom friction coefficient, length of tree lines, width of tree lines, and shape of tree areas. The results indicate that slope of the beaches can reduce flooding areas, as steep slopes can transform wave energy into potential energy. With regard to the friction coefficient, beaches with higher bottom friction factors will have fewer flooding areas. Relative to beaches with no trees at all, increasing the length and width of tree lines can reduce flooding areas by as much as 30%. However, the shapes of tree areas have no significant effect on flooding areas.

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Author Biographies

Chanyut Kalakan

Department of Civil Engineering, Faculty of Engineering, Burapha University, Chon Buri 20131 Thailand

Anurak Sriariyawat

Department of Water Resources Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330 Thailand

Sittichai Naksuksakul

Geo-Science & Petroleum Engineering Research Department, PTT Research and Technology Institute, Ayutthaya 13170, Thailand

Thamnoon Rasmeemasmuang

Department of Civil Engineering, Faculty of Engineering, Burapha University, Chon Buri 20131 Thailand

Published

Vol 20 No 1, Jan 29, 2016

How to Cite

[1]
C. Kalakan, A. Sriariyawat, S. Naksuksakul, and T. Rasmeemasmuang, “Sensitivity Analysis of Coastal Flooding to Geographical Factors: Numerical Model Study on Idealized Beaches”, Eng. J., vol. 20, no. 1, pp. 1-15, Jan. 2016.

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