Flood Modeling Using GIS and PCSWMM

  • Florife Liwanag Mindanao State University – Iligan Institute of Technology
  • Daniel S. Mostrales Mindanao State University – Iligan Institute of Technology
  • Ma. Teresa T. Ignacio Mindanao State University – Iligan Institute of Technology
  • Jerson N. Orejudos University of Science and Technology of Southern Philippines

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Abstract

Modeling flood inundation has become increasingly significant, especially for urban setting. Information on flood characteristics and accurate flow paths is significant for storm water management, hydrological modeling, hydrological data analysis, and vulnerability assessment. This paper employed geographic information system (GIS) to process the input data, RIDF curve to generate different design storm scenarios and PCSWMM to simulate the urban flooding of the Luinab catchment in Iligan City, Philippines. The results demonstrate the methodology for integrating GIS and flood model for analyzing the hydrological behavior of the catchment. The calibrated model clearly identified the area prone to flooding and predicts the influence of imperviousness on the hydrological behavior of the catchment. Improvement of the drainage system could be achieved by a) increasing the capacity of main canal and/or b) providing an additional outlet from identified areas that are prone to flooding.

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Author Biographies
Florife Liwanag

Mindanao State University – Iligan Institute of Technology, Iligan City, Philippines
University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines

Daniel S. Mostrales

Mindanao State University – Iligan Institute of Technology, Iligan City, Philippines

Ma. Teresa T. Ignacio

Mindanao State University – Iligan Institute of Technology, Iligan City, Philippines

Jerson N. Orejudos

University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines

Published
Vol 22 No 3, Jun 28, 2018
How to Cite
F. Liwanag, D. Mostrales, M. T. Ignacio, and J. Orejudos, “Flood Modeling Using GIS and PCSWMM”, Eng. J., vol. 22, no. 3, pp. 279-289, Jun. 2018.

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