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 …

A systematic review on approaches and methods used for flood vulnerability assessment: Framework for future research

S Rehman, M Sahana, H Hong, H Sajjad, BB Ahmed - Natural Hazards, 2019 - Springer
Floods have always been associated with widespread devastation and destruction since the
emergence of human civilization. The intensity of this disaster has been increasing due to …

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 …

GIS-based comparative assessment of flood susceptibility map** using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and …

SA Ali, F Parvin, QB Pham, M Vojtek, J Vojteková… - Ecological …, 2020 - Elsevier
Flood is a devastating natural hazard that may cause damage to the environment
infrastructure, and society. Hence, identifying the susceptible areas to flood is an important …

AHP and TOPSIS based flood risk assessment-a case study of the Navsari City, Gujarat, India

AI Pathan, P Girish Agnihotri, S Said, D Patel - Environmental Monitoring …, 2022 - Springer
Flooding is one of the major natural catastrophic disasters that causes massive
environmental and socioeconomic destruction. The magnitude of losses due to floods has …

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

R Mitra, J Das - Environmental Science and Pollution Research, 2023 - Springer
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

FS Hosseini, B Choubin, A Mosavi, N Nabipour… - Science of the total …, 2020 - Elsevier
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …

GIS-based flood hazard map** using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan

K Ullah, J Zhang - Plos one, 2020 - journals.plos.org
Flood is the most devastating and prevalent disaster among all-natural disasters. Every year,
flood claims hundreds of human lives and causes damage to the worldwide economy and …

Identifying the essential flood conditioning factors for flood prone area map** using machine learning techniques

MS Tehrany, S Jones, F Shabani - Catena, 2019 - Elsevier
River flooding can be a highly destructive natural hazard. Numerous approaches have been
used to study the phenomenon; however, insufficient knowledge regarding flood …

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 …