Flood forecasting of Malaysia Kelantan river using support vector regression technique
The rainstorm is believed to contribute flood disasters in upstream catchments, resulting in further consequences in downstream area due to rise of river water levels. Forecasting for flood water level has been challenging, presenting complex task due to its nonlinearities and dependencies. This stu...
Saved in:
Main Authors: | Faruq, Amrul, Marto, Aminaton, Abdullah, Shahrum Shah |
---|---|
Format: | Article |
Language: | English |
Published: |
Tech Science Press
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/94067/1/AminatonMarto2021_FloodForecastingofMalaysiaKelantan.pdf http://eprints.utm.my/id/eprint/94067/ http://dx.doi.org/10.32604/CSSE.2021.017468 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
by: Ismail, S., et al.
Published: (2012) -
Geospatial approach for flood vulnerability assessment in Kelantan River Basin, Malaysia
by: Tam, Tze Huey
Published: (2022) -
Flood frequency analysis at ungauged sites in Peninsular Malaysia using least square support vector machine
by: Roselan, Nur Shahidah
Published: (2014) -
Kelantan daily water level prediction model using hybrid deep-learning algorithm for flood forecasting
by: Loh, Eng Chuen
Published: (2021) -
Flood hydrograph reconstructing for Sarawak kanan river using infoworks river simulation (RS)
by: Mah, Yau Seng.
Published: (2006)