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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 …
and capacity of the result to meet the target of policymakers for accurate prediction and …
[HTML][HTML] An overview of multi-criteria decision analysis (MCDA) application in managing water-related disaster events: analyzing 20 years of literature for flood and …
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 …
[HTML][HTML] Flood susceptibility map** using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
Flood has long been known as one of the most catastrophic natural hazards worldwide.
Map** flood-prone areas is an important part of flood disaster management. In this study …
Map** flood-prone areas is an important part of flood disaster management. In this study …
Flood hazard assessment and map** using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia
Floods have destroyed people's lives as well as social and environmental assets. Flooding
is becoming more severe and frequent as a result of climate change and an increase in …
is becoming more severe and frequent as a result of climate change and an increase in …
Urban flood risk map** using the GARP and QUEST models: A comparative study of machine learning techniques
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 …
a flood risk map was produced with limited hydrological and hydraulic data using two state …
[HTML][HTML] Urban flood modeling using deep-learning approaches in Seoul, South Korea
Identification of flood-prone sites in urban environments is necessary, but there is insufficient
hydraulic information and time series data on surface runoff. To date, several attempts have …
hydraulic information and time series data on surface runoff. To date, several attempts have …
Flood susceptibility map** using convolutional neural network frameworks
Flood is a very destructive natural disaster in the world, which seriously threatens the safety
of human life and property. In this paper, the most popular convolutional neural network …
of human life and property. In this paper, the most popular convolutional neural network …
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development
Abstract Best Worst Method (BWM) has recently been proposed as a method for Multi
Criteria Decision Making (MCDM). Studies show that BWM compared with other methods …
Criteria Decision Making (MCDM). Studies show that BWM compared with other methods …
An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach
Today, e-waste management practices are gaining momentum because of the global
environmental regulations, but the presence of barriers makes the implementation of e …
environmental regulations, but the presence of barriers makes the implementation of e …
Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey
As an initial exploration, preliminary studies which are conducted for the identification of key
points to be addressed in flood risk management (FRM) processes are crucial to mitigate …
points to be addressed in flood risk management (FRM) processes are crucial to mitigate …