An overview of multi-criteria decision analysis (MCDA) application in managing water-related disaster events: analyzing 20 years of literature for flood and drought …
This paper provides an overview of multi-criteria decision analysis (MCDA) applications in
managing water-related disasters (WRD). Although MCDA has been widely used in …
managing water-related disasters (WRD). Although MCDA has been widely used in …
Examining flood vulnerability map** approaches in develo** countries: A sco** review
In the face of climate change, map** flood vulnerability has become important. This is
because it helps to identify vulnerable people in particular communities and provides a …
because it helps to identify vulnerable people in particular communities and provides a …
AHP and TOPSIS based flood risk assessment-a case study of the Navsari City, Gujarat, India
Flooding is one of the major natural catastrophic disasters that causes massive
environmental and socioeconomic destruction. The magnitude of losses due to floods has …
environmental and socioeconomic destruction. The magnitude of losses due to floods has …
[HTML][HTML] An integrated indicator-based approach for constructing an urban flood vulnerability index as an urban decision-making tool using the PCA and AHP …
Several cities are exceptionally vulnerable to flood impacts due to increasing urbanization,
population growth, and climate change. Quantifying flood vulnerability is useful for …
population growth, and climate change. Quantifying flood vulnerability is useful for …
[HTML][HTML] Urban waterlogging risk as an undervalued environmental challenge: An Integrated MCDA-GIS based modeling approach
In the last few decades, rainfall-induced urban waterlogging has become a significant
environmental barrier and acquired global prominence worldwide due to its frequent threat …
environmental barrier and acquired global prominence worldwide due to its frequent threat …
Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
This study presents two machine learning models, namely, the light gradient boosting
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …
machine (LightGBM) and categorical boosting (CatBoost), for the first time for predicting …
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 …
[HTML][HTML] A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China
J Yu, L Zou, J **_a_case_study_at_Ras_Gharib_Red_Sea_Egypt/links/624932da7931cc7ccf10f082/Comparative-study-of-convolutional-neural-network-CNN-and-support-vector-machine-SVM-for-flood-susceptibility-map**-a-case-study-at-Ras-Gharib-Red-Sea-Egypt.pdf" data-clk="hl=fr&sa=T&oi=gga&ct=gga&cd=8&d=12381077314111423352&ei=jaanZ6CSFoqy6rQPuvWdgQM" data-clk-atid="eENCLDhs0qsJ" target="_blank">[PDF] researchgate.net
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility map**: a case study at Ras Gharib, Red Sea …
Geohazard risk is high in Arab countries due to ineffective disaster preparedness measures,
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …
Geospatial modelling of floods: A literature review
Floods are one of the most frequent, dangerous natural disasters globally. During the period
from 1990 to 2020, more than 50% of the world's recorded disasters were related to floods …
from 1990 to 2020, more than 50% of the world's recorded disasters were related to floods …