Identification and validation of potential flood hazard area using GIS‐based multi‐criteria analysis and satellite data‐derived water index
P Dash, J Sar - Journal of Flood Risk Management, 2020 - Wiley Online Library
This article identifies potential flood hazard areas through multi‐criteria analysis in
Allahabad district, India. The study has incorporated eight criteria, namely, flow …
Allahabad district, India. The study has incorporated eight criteria, namely, flow …
Assessing coastal flood susceptibility in east Java, Indonesia: Comparison of statistical bivariate and machine learning techniques
Floods in coastal areas occur yearly in Indonesia, resulting in socio-economic losses. The
availability of flood susceptibility maps is essential for flood mitigation. This study aimed to …
availability of flood susceptibility maps is essential for flood mitigation. This study aimed to …
Climate and land use change induced future flood susceptibility assessment in a sub-tropical region of India
Management of any uncertain state or situations allows everything to be backed up to its
normal position. Disaster planning has been important for environmental planning in recent …
normal position. Disaster planning has been important for environmental planning in recent …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …
developing countries like India, as this nation has a tropical monsoon type of climate …
River basin-scale flood hazard assessment using a modified multi-criteria decision analysis approach: A case study
Flood is a major natural hazard with extremely large impact on social-ecological systems.
Therefore, developing reliable and efficient tools to identify areas vulnerable to potential …
Therefore, developing reliable and efficient tools to identify areas vulnerable to potential …
Assessment of flood susceptibility prediction based on optimized tree-based machine learning models
Due to the physical processes of floods, the use of data-driven machine learning (ML)
models is a cost-efficient approach to flood modeling. The innovation of the current study …
models is a cost-efficient approach to flood modeling. The innovation of the current study …
A review on flood risk assessment using multicriteria decision making technique
S Abdulrahman, J Bwambale - World Water Policy, 2021 - Wiley Online Library
Flood disaster risk assessment is a crucial and very challenging task because of the
uncertainty of flood events that are due to many climatic and physiographic factors of …
uncertainty of flood events that are due to many climatic and physiographic factors of …
A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam
Flood damage is often severe and directly affects housing, transport infrastructure, industrial,
service, commercial, and land use. A flood risk assessment based on vulnerability indicators …
service, commercial, and land use. A flood risk assessment based on vulnerability indicators …
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
Flood risk analysis in lower part of Markham river based on multi-criteria decision approach (MCDA)
Papua New Guinea is blessed with a plethora of enviable natural resources, but at the same
time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes …
time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes …