Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …

A multi-criteria decision-making approach to vulnerability assessment of rural flooding in Khyber Pakhtunkhwa Province, Pakistan

A Khan, Z Gong, AA Shah, M Haq - Environmental Science and Pollution …, 2023 - Springer
Assessment of rural regions' vulnerability to flooding is gaining prominence on a global
scale. However, researchers are greatly undermined in their efforts to make a …

Evaluating the performance of multi-criteria decision-making techniques in flood susceptibility mapping

R Mahato, D Bushi, G Nimasow, B Barman… - Journal of the …, 2023 - Springer
Performances of multi-criteria decision-making techniques in prediction of flood
susceptibility are varied. We evaluated performances of ARAS, CODAS, COPRAS, EDAS …

A Novel Approach to Flood Risk Assessment: Synergizing with Geospatial based MCDM-AHP Model, Multicollinearity, and Sensitivity Analysis in the Lower …

P Dutta, S Deka - Journal of Cleaner Production, 2024 - Elsevier
Floods persist as a recurring and daunting peril in the Brahmaputra plain of Assam.
Notwithstanding advancement, Bongaigaon is a highly flood-afflicted district in the lower part …

Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam

HD Nguyen - Transactions in GIS, 2022 - Wiley Online Library
Flooding is the most dangerous of all environmental hazards and leads to significant
impacts both on the environment and on human life. Environmental protection and water …

An improved flood susceptibility assessment in Jeddah, Saudi Arabia, using advanced machine learning techniques

AAJ Ghanim, A Shaf, T Ali, M Zafar, AM Al-Areeq… - Water, 2023 - mdpi.com
The city of Jeddah experienced a severe flood in 2020, resulting in loss of life and damage
to property. In such scenarios, a flood forecasting model can play a crucial role in predicting …

Flood susceptibility prediction using multi criteria decision analysis and bivariate statistical models: a case study of Lower Kosi River Basin, Ganga River Basin, India

A Arora - Stochastic Environmental Research and Risk …, 2023 - Springer
The present work focuses on the comparison between Analytical Hierarchy Process (AHP),
the most commonly used Multi-Criteria-Decision-Analysis (MCDA) model, and three …

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 …

[HTML][HTML] A comparative assessment of multi-criteria decision-making analysis and machine learning methods for flood susceptibility mapping and socio-economic …

ML Edamo, TY Ukumo, TK Lohani, MT Ayana… - Environmental …, 2022 - Elsevier
Floods have a terrible impact on people's lives and property all around the world. In this
study, we evaluated the modeling capabilities of two Machine Learning (ML) approaches …

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 …