TITLE:
Flood Risk Pattern Recognition Using Chemometric Technique: A Case Study in Muda River Basin
AUTHORS:
Ahmad Shakir Mohd Saudi, Hafizan Juahir, Azman Azid, Mohd Khairul Amri Kamarudin, Mohd Ekhwan Toriman, Nor Azlina Abdul Aziz
KEYWORDS:
Component, Chemometric Method, Time Series Analysis, Climate Change, Flood
JOURNAL NAME:
Computational Water, Energy, and Environmental Engineering,
Vol.3 No.3,
July
4,
2014
ABSTRACT: This study
constructs downscaling statistical model in analyzing the hydrological modeling
in the study area which faces the risk of flood occurrence as the impact of
climate change. The combination of chemometric method and time series analysis
in this study show that even during the monsoon season, rainfall and stream
flow are not the major contribution towards the changing of water level in the
study area. Based on Correlation Test, it shows that suspended solid and water
level show high correlation with p-value