Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility map** (Tunisia)

S Hammami, L Zouhri, D Souissi, A Souei… - Arabian Journal of …, 2019 - Springer
Flooding is considered as the most dangerous natural catastrophe in the world. This paper
develops a spatial multi-criteria decision production prototype for the evaluation of flooding …

[HTML][HTML] Evolution of flood prediction and forecasting models for flood early warning systems: A sco** review

N Byaruhanga, D Kibirige, S Gokool, G Mkhonta - Water, 2024 - mdpi.com
Floods are recognised as one of the most destructive and costliest natural disasters in the
world, which impact the lives and livelihoods of millions of people. To tackle the risks …

Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia

H Desalegn, A Mulu - Heliyon, 2021 - cell.com
Flood is a danger to human beings and their properties because less consideration is given
for risk analysis and assessment of risk areas. The main aim of this study was to assess the …

GeoFlood: Large‐scale flood inundation map** based on high‐resolution terrain analysis

X Zheng, DR Maidment, DG Tarboton… - Water Resources …, 2018 - Wiley Online Library
Recent floods from intense storms in the southern United States and the unusually active
2017 Atlantic hurricane season have highlighted the need for real‐time flood inundation …

Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria

A Tella, AL Balogun - Natural Hazards, 2020 - Springer
Ibadan, one of the largest cities in West Africa, experiences recurrent flood hazards, causing
severe damages to lives and properties. Although various flood susceptibility models have …

Integration of catastrophe and entropy theories for flood risk map** in peninsular Malaysia

GF Ziarh, M Asaduzzaman, A Dewan… - Journal of flood risk …, 2021 - Wiley Online Library
A major challenge in flood map** using multi‐criteria decision analysis (MCDA) is the
selection of the flood risk factors and the estimation of their relative importance. A novel …

Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation

HD Nguyen, DK Dang, NY Nguyen… - Journal of Water and …, 2024 - iwaponline.com
Flood prediction is an important task, which helps local decision-makers in taking effective
measures to reduce damage to the people and economy. Currently, most studies use …

Assessment of data mining, multi-criteria decision making and fuzzy-computing techniques for spatial flood susceptibility map**: a comparative study

AL Balogun, TY Sheng, MH Sallehuddin… - Geocarto …, 2022 - Taylor & Francis
This study develops an Adaboost-GIS model for flood susceptibility map** and evaluates
its relative performance by undertaking a comparative assessment of the machine learning …

A statistical approach to map** flood susceptibility in the Lower Connecticut River Valley Region

J Giovannettone, T Copenhaver… - Water Resources …, 2018 - Wiley Online Library
Flood susceptibility in the Lower Connecticut River Valley Region attributable to nonclimatic
flood risk factors is mapped using a quantitative method using logistic regression. Flood risk …