Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

TG Nachappa, ST Piralilou, K Gholamnia… - Journal of …, 2020 - Elsevier
Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …

Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

S Hammami, L Zouhri, D Souissi, A Souei… - Arabian Journal of …, 2019 - Springer
Flooding is considered as the most dangerous natural catastrophe in the world. This paper
develops a spatial multi-criteria decision production prototype for the evaluation of flooding …

[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models

ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

K Khosravi, BT Pham, K Chapi, A Shirzadi… - Science of the Total …, 2018 - Elsevier
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

DT Bui, PTT Ngo, TD Pham, A Jaafari, NQ Minh… - Catena, 2019 - Elsevier
Flash flood is a typical natural hazard that occurs within a short time with high flow velocities
and is difficult to predict. In this study, we propose and validate a new soft computing …

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

H Hong, M Panahi, A Shirzadi, T Ma, J Liu… - Science of the total …, 2018 - Elsevier
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …

Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles

W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang… - Journal of …, 2019 - Elsevier
Flooding is a very common natural hazard that causes catastrophic effects worldwide.
Recently, ensemble-based techniques have become popular in flood susceptibility …

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with …

K Khosravi, E Nohani, E Maroufinia, HR Pourghasemi - Natural hazards, 2016 - Springer
Flood is one of the most prevalent natural disasters that frequently occur in the northern part
of Iran reported in hot spots of flood occurrences. The main aim of the current study was to …

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

MS Tehrany, B Pradhan, S Mansor, N Ahmad - Catena, 2015 - Elsevier
Statistical learning theory is the basis of support vector machine (SVM) technique. This
technique in natural hazard assessment is getting extremely popular these days. It contains …

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

O Rahmati, HR Pourghasemi, H Zeinivand - Geocarto International, 2016 - Taylor & Francis
Flood is one of the most devastating natural disasters with socio-economic and
environmental consequences. Thus, comprehensive flood management is essential to …