Flood Risk Pattern Recognition Using Chemometric Technique: A Case Study In Kuantan River Basin

• Main Authors: Azman, Azid, Mohd Ekhwan, Toriman, Hafizan, Juahir
• Format: Article
• Language: English; English
• Published: Penerbit UTM Press 2015
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.unisza.edu.my/5754/1/FH02-ESERI-15-02305.pdf; http://eprints.unisza.edu.my/5754/2/FH02-ESERI-15-02366.jpg; http://eprints.unisza.edu.my/5754/

Integrated Chemometric and Artificial Neural Network were being applied in this study to identify the main contributor for flood, predicting hydrological modelling and risk of flood occurrence at the Kuantan river basin. Based on the Correlation Test analysis, the relationship for Suspended Solid...