A novel approach for assessing flood risk with machine learning and multi-criteria decision-making methods

SR Shikhteymour, M Borji, M Bagheri-Gavkosh… - Applied geography, 2023 - Elsevier
Hazardous flooding occurs across most climate zones. Owing to the lack of appropriate
infrastructures and applicable predictive methods, flooding in arid and semi-arid regions …

Urban flood-risk assessment: integration of decision-making and machine learning

F Taromideh, R Fazloula, B Choubin, A Emadi… - Sustainability, 2022 - mdpi.com
Urban flood-risk mapping is an important tool for the mitigation of flooding in view of
continuing urbanization and climate change. However, many developing countries lack …

Assessment of the contribution of geo-environmental factors to flood inundation in a semi-arid region of SW Iran: Comparison of different advanced modeling …

D Davoudi Moghaddam, HR Pourghasemi… - Natural hazards GIS …, 2019 - Springer
Floods are a hazard for artificial structures and humans. From natural hazard management
point of view, present the new techniques to assess the flood susceptibility is considerably …

Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment

A Azareh, E Rafiei Sardooi, B Choubin… - Geocarto …, 2021 - Taylor & Francis
Floods are among the most frequently occurring natural disasters and the costliest in terms
of human life and ecosystem disturbance. Identifying areas susceptible to flooding is …

Quantitative and semi-quantitative methods in flood hazard/susceptibility mapping: a review

RB Mudashiru, N Sabtu, I Abustan - Arabian Journal of Geosciences, 2021 - Springer
Flood mitigation and risk management is a very challenging task that requires accurate
identification of flood hazard/susceptible regions for adequate planning and management …

Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam

BT Pham, C Luu, T Van Phong, HD Nguyen… - Journal of …, 2021 - Elsevier
Flood risk assessment is an important task for disaster management activities in flood-prone
areas. Therefore, it is crucial to develop accurate flood risk assessment maps. In this study …

Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India

S Roy, A Bose, IR Chowdhury - Arabian Journal of Geosciences, 2021 - Springer
In recent years, floods have acquired global importance due to their devastating nature that
can cause massive damage to infrastructure and society. The Himalayan foothill is very …

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 mapping flood susceptibility. A …

Evaluating flood susceptibility in the brahmaputra river basin: an insight into Asia's Eastern Himalayan floodplains using machine learning and multi-criteria decision …

J Debnath, D Sahariah, M Mazumdar, D Lahon… - Earth Systems and …, 2023 - Springer
Floods represent a significant threat to human life, property, and agriculture, especially in
low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River …