Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms
Recurrent floods are one of the major global threats among people, particularly in developing countries like India, as this nation has a tropical monsoon type of climate. Therefore, flood susceptibility (FS) mapping is indeed necessary to overcome this type of natural hazard phenomena. With this in...
Main Authors: | Asish Saha, Subodh Chandra Pal, Alireza Arabameri, Thomas Blaschke, Somayeh Panahi, Indrajit Chowdhuri, Rabin Chakrabortty, Romulus Costache, Aman Arora |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/13/2/241 |
Similar Items
-
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment
by: Indrajit Chowdhuri, et al.
Published: (2020-11-01) -
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility
by: Subodh Chandra Pal, et al.
Published: (2020-11-01) -
Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
by: Alireza Arabameri, et al.
Published: (2021-08-01) -
Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
by: Alireza Arabameri, et al.
Published: (2021-01-01) -
Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam
by: Quoc Cuong Tran, et al.
Published: (2020-05-01)