A nonparametric statistical framework using a kernel density estimator to approximate flood marginal distributions - a case study for the Kelantan River Basin in Malaysia
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...
Saved in:
Main Authors: | Latif, Shahid, Mustafa, Firuza Begham |
---|---|
Format: | Article |
Published: |
IWA Publishing
2020
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/36658/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pembangunan komuniti marginal di Malaysia ke arah pengupayaan kendiri
Published: (2008) -
The Hedonic approach to examining the impacts of flood on property value in Malaysia
by: Nur Hafizah, Mohammad Ismail
Published: (2017) -
Kebebasan hak asasi manusia perlu ada batasan
:Elak sebar maklumat palsu, sentuh sensitiviti kaum, agama
by: Shahid, Mior Kamarul
Published: (2016) -
Kaedah sewa beli mudahkan rakyat miliki kediaman
-Orang muda baru bekerja, golongan berpendapatan rendah patut diutamakan
by: Shahid, Mior Kamarul
Published: (2016) -
Shea Kernel Supply Chain and Suppliers Relationships in Rural Borgu,Niger State, Nigeria
by: Sidikat, Shitu, et al.
Published: (2016)