Flood hazard map** methods: A review

RB Mudashiru, N Sabtu, I Abustan, W Balogun - Journal of hydrology, 2021 - Elsevier
Flood hazard map** (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …

Quantitative flood hazard assessment methods: A review

A Maranzoni, M D'Oria, C Rizzo - Journal of Flood Risk …, 2023 - Wiley Online Library
Flood hazard assessment is a fundamental step in flood risk map**. Quantitative
assessment requires hydrodynamic modelling of the flooding process in order to calculate …

[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 …

Flood susceptibility map** 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 …

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

B Choubin, E Moradi, M Golshan, J Adamowski… - Science of the Total …, 2019 - Elsevier
Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …

A novel hybrid artificial intelligence approach for flood susceptibility assessment

K Chapi, VP Singh, A Shirzadi, H Shahabi… - … modelling & software, 2017 - Elsevier
A new artificial intelligence (AI) model, called Bagging-LMT-a combination of bagging
ensemble and Logistic Model Tree (LMT)-is introduced for map** flood susceptibility. A …

[HTML][HTML] Urban flood modeling using deep-learning approaches in Seoul, South Korea

X Lei, W Chen, M Panahi, F Falah, O Rahmati… - Journal of …, 2021 - Elsevier
Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

H Hong, P Tsangaratos, I Ilia, J Liu, AX Zhu… - Science of the total …, 2018 - Elsevier
In China, floods are considered as the most frequent natural disaster responsible for severe
economic losses and serious damages recorded in agriculture and urban infrastructure …

[HTML][HTML] Flood susceptibility map** through the GIS-AHP technique using the cloud

KC Swain, C Singha, L Nayak - ISPRS International Journal of Geo …, 2020 - mdpi.com
Flood susceptibility map** is essential for characterizing flood risk zones and for planning
mitigation approaches. Using a multi-criteria decision support system, this study investigated …

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 …