Flood risk pattern recognition using integrated chemometric method and artificial neural network: A case study in the Johor River Basin

Ahmad Shakir Mohd Saudi, Azman Azid, Hafizan Juahir, Mohd. Ekhwan Toriman, Mohammad Azizi Amran, Ahmad Dasuki Mustafa, Fazureen Azaman, Mohd Khairul Amri Kamarudin, Madihah Mohd Saudi

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Flood is a major problem in Johor river basin, which normally happened during monsoon season. However in this study, it shows that rainfall did not have a strong relationship for the changes of water level compared to suspended solid and stream flow, where both variables have p-values of <0.0001 and these variables also became the main factors in contributing to the flood occurrence based on Factor Analysis result. Time Series Analysis was being carried out and based on Statistical Process Control, the limitation has been set up for mitigation in controlling flood. All data beyond the Upper Control Limit was predicted to have High Risk to face flood and Emergency Response Plan should be implemented to prevent complication and destruction because of flood. The prediction for the risk level was carried out using the application of Artificial Neural Network (ANN), where the accuracy of prediction was very high, with the result of 96% for the level of accuracy in the prediction of risk class.

Original languageEnglish
Pages (from-to)165-170
Number of pages6
JournalJurnal Teknologi
Volume74
Issue number1
DOIs
Publication statusPublished - 2015
Externally publishedYes

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Catchments
Pattern recognition
Rivers
Neural networks
Stream flow
Flow of solids
Statistical process control
Time series analysis
Factor analysis
Water levels
Rain

Keywords

  • Artificial neural network
  • Factor analysis
  • Flood
  • Monsoon
  • Statistical process control
  • Time series analysis

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Flood risk pattern recognition using integrated chemometric method and artificial neural network : A case study in the Johor River Basin. / Saudi, Ahmad Shakir Mohd; Azid, Azman; Juahir, Hafizan; Toriman, Mohd. Ekhwan; Amran, Mohammad Azizi; Mustafa, Ahmad Dasuki; Azaman, Fazureen; Kamarudin, Mohd Khairul Amri; Saudi, Madihah Mohd.

In: Jurnal Teknologi, Vol. 74, No. 1, 2015, p. 165-170.

Research output: Contribution to journalArticle

Saudi, ASM, Azid, A, Juahir, H, Toriman, ME, Amran, MA, Mustafa, AD, Azaman, F, Kamarudin, MKA & Saudi, MM 2015, 'Flood risk pattern recognition using integrated chemometric method and artificial neural network: A case study in the Johor River Basin', Jurnal Teknologi, vol. 74, no. 1, pp. 165-170. https://doi.org/10.11113/jt.v74.3772
Saudi, Ahmad Shakir Mohd ; Azid, Azman ; Juahir, Hafizan ; Toriman, Mohd. Ekhwan ; Amran, Mohammad Azizi ; Mustafa, Ahmad Dasuki ; Azaman, Fazureen ; Kamarudin, Mohd Khairul Amri ; Saudi, Madihah Mohd. / Flood risk pattern recognition using integrated chemometric method and artificial neural network : A case study in the Johor River Basin. In: Jurnal Teknologi. 2015 ; Vol. 74, No. 1. pp. 165-170.
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