JOURNAL ARTICLE

Flood Risk Pattern Recognition Analysis in Klang River Basin

Abstract

This study was implemented to identify the specific factors that lead to major contribution of floods in Klang River Basin. A thirty-year (1987-2017) database obtained from Department of Irrigation and Drainage (DID), the selected data was analyzed by using integrated Chemometric techniques. The finding from Correlation Analysis revealed strong correlation between stream flow and water level is more than 0.5 (= 0.799). The finding from Principal Component Analysis proved that the selected parameters were significant with the result of R2 > 0.7was applied as a main tool for further analysis. Based on the result, it revealed that stream flow and water level were the most significant hydrological factor that influenced flood risk pattern in Klang River basin. Based on the result from Statistical Process control (SPC), the finding showed that the Upper Control Limit (UCL) for water level was 30.290m. The plotted data which is more than 30.290 m can cause flood to occur in Klang River Basin. Thus, it is very important to continuously monitor and maintain the mitigation measure of flood in the study area to avoid flood to occur. This study also helps to provide visualization of flood pattern and show the optimal rates for the maximum limit for flood control in Klang River Basin. Â

Keywords:
Flood myth Hydrology (agriculture) Flood control Drainage basin Structural basin Environmental science Principal component analysis 100-year flood Geography Geology Cartography Statistics Geotechnical engineering Geomorphology Mathematics

Metrics

9
Cited By
0.14
FWCI (Field Weighted Citation Impact)
0
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change
Hydrological Forecasting Using AI
Physical Sciences →  Environmental Science →  Environmental Engineering
Flood Risk Assessment and Management
Physical Sciences →  Environmental Science →  Global and Planetary Change

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