Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan

Wan Nur Amyliyana Wan Faizurie Zaidee, Ahmad Shakir Mohd Saudi, Mohd Khairul Amri Kamarudin, Mohd. Ekhwan Toriman, Hafizan Juahir, Izuddin Fahmy Abu, Muaz Mahmud Nur Zahidah Shafii, Khairul Nizam Abdul Maulud, Rahmah Elfithri

Research output: Contribution to journalArticle

Abstract

This study was implemented to evaluate the flood risk pattern recognition in Golok River, Kelantan. Based on Spearman correlation test, it showed that water level and suspended solid was very strong and significant (p < 0.0001). There was also a weak correlation of coefficient of stream flow and rainfall with the changes of water level as the p-value close to 1. Suspended solid has strong corresponded in changing the rate of water level, as it described the rate of surface run-off that flowed into the water body. However, the risk of flood in study area is irrelevant to the monsoon season. Principle Component Analysis (PCA), the most sensitive parameters that contribute to the flood occurrence were identified with variability R2 value of 0.812 and 0.764. Expansion and development by human activities contribute to the incline of stream flow and suspended solid in Golok River. Based on Statistical Process Control (SPC), water level of all parameters exceeded the Upper Control Limit (UCL), considered as high risk and vulnerable for flood and it is mostly due to manmade activities. It was not deniable that monsoon season played role in contributing flood occurrence as parameters of rainfall and water level have moderately positive factor loading.

Original languageEnglish
Pages (from-to)75-79
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3.14 Special Issue 14
Publication statusPublished - 1 Jan 2018

Fingerprint

Water levels
Rivers
Pattern recognition
Water
Stream flow
Rain
Statistical process control
Body Water
Human Activities

Keywords

  • Chemo metric Techniques
  • Flood
  • Human activities
  • Monsoon season
  • Water level

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Zaidee, W. N. A. W. F., Saudi, A. S. M., Kamarudin, M. K. A., Toriman, M. E., Juahir, H., Abu, I. F., ... Elfithri, R. (2018). Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan. International Journal of Engineering and Technology(UAE), 7(3.14 Special Issue 14), 75-79.

Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan. / Zaidee, Wan Nur Amyliyana Wan Faizurie; Saudi, Ahmad Shakir Mohd; Kamarudin, Mohd Khairul Amri; Toriman, Mohd. Ekhwan; Juahir, Hafizan; Abu, Izuddin Fahmy; Shafii, Muaz Mahmud Nur Zahidah; Abdul Maulud, Khairul Nizam; Elfithri, Rahmah.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3.14 Special Issue 14, 01.01.2018, p. 75-79.

Research output: Contribution to journalArticle

Zaidee, WNAWF, Saudi, ASM, Kamarudin, MKA, Toriman, ME, Juahir, H, Abu, IF, Shafii, MMNZ, Abdul Maulud, KN & Elfithri, R 2018, 'Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan', International Journal of Engineering and Technology(UAE), vol. 7, no. 3.14 Special Issue 14, pp. 75-79.
Zaidee WNAWF, Saudi ASM, Kamarudin MKA, Toriman ME, Juahir H, Abu IF et al. Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan. International Journal of Engineering and Technology(UAE). 2018 Jan 1;7(3.14 Special Issue 14):75-79.
Zaidee, Wan Nur Amyliyana Wan Faizurie ; Saudi, Ahmad Shakir Mohd ; Kamarudin, Mohd Khairul Amri ; Toriman, Mohd. Ekhwan ; Juahir, Hafizan ; Abu, Izuddin Fahmy ; Shafii, Muaz Mahmud Nur Zahidah ; Abdul Maulud, Khairul Nizam ; Elfithri, Rahmah. / Flood risk pattern recognition using chemometric techniques approach in Golok River, Kelantan. In: International Journal of Engineering and Technology(UAE). 2018 ; Vol. 7, No. 3.14 Special Issue 14. pp. 75-79.
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