A nonparametric statistical framework using a kernel density estimator to approximate flood marginal distributions - a case study for the Kelantan River Basin in Malaysia

• Main Authors: Latif, Shahid, Mustafa, Firuza Begham
• Format: Article
• Published: IWA Publishing 2020
• Subjects: H Social Sciences (General); HN Social history and conditions. Social problems. Social reform
• Online Access: http://eprints.um.edu.my/36658/

Floods are becoming the most challenging hydrologic issue in the Kelantan River basin in Malaysia. All three flood characteristics, i.e. peak flow, flood volume and flood duration, are important when formulating actions and measures to manage flood risk. Therefore, estimating the multivariate design...