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 …

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 …

[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

E Rafiei-Sardooi, A Azareh, B Choubin… - International Journal of …, 2021 - Elsevier
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …

Assessment of long and short-term flood risk using the multi-criteria analysis model with the AHP-Entropy method in Poyang Lake basin

J Wu, X Chen, J Lu - International Journal of Disaster Risk Reduction, 2022 - Elsevier
China suffers the most serious loss of life and property with the most floods in the world. In
this study, a multi-criteria analysis model with the combined analytic hierarchy process and …

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 …

A novel machine learning tool for current and future flood susceptibility map** by integrating remote sensing and geographic information systems

A Amiri, K Soltani, I Ebtehaj, H Bonakdari - Journal of Hydrology, 2024 - Elsevier
Flood map** is essential for managing and mitigating the risks associated with flood
events. This study integrates weighted overlay analysis and analytical network process to …

Urban flood risk map** using the GARP and QUEST models: A comparative study of machine learning techniques

H Darabi, B Choubin, O Rahmati, AT Haghighi… - Journal of …, 2019 - Elsevier
Flood risk map** and modeling is important to prevent urban flood damage. In this study,
a flood risk map was produced with limited hydrological and hydraulic data using two state …