Flood Risk Trend by using PCA and SPC Analysis at Muda River, Kedah
DOI:
https://doi.org/10.21834/ebpj.v8i23.4501Keywords:
Correlation Test, Principle Component Analysis, Statistical Process ControlAbstract
PCA and SPC were used to identify data variables that trigger flooding and assess flood risk in the Muda River basin. Three (3) hydrologic variables, RL, WL, and SF are analyzed using correlation tests, PCA and SPC. The Pearson correlation test shown, SF and WL have significant correlation. The PCA indicates that all hydrologic variables are significant. The SPC shows ideal flood control values for the Muda River basin. The runoff value exceeding the UCL increases flood risk. Rapid expansion of development and anthropogenic activities have caused heavy rainfall and hydrologic variables to increase above normal levels.
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