Flood hazard map** methods: A review
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 …
Flood susceptibility map** with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
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 …
main objective of this study was to produce flood susceptibility maps for the province of …
[HTML][HTML] Flooding and its relationship with land cover change, population growth, and road density
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …
are believed to be associated with land use changes and climate variability. However …
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations
HE Aydin, MC Iban - Natural Hazards, 2023 - Springer
In recent years, the number of floods around the world has increased. As a result, Flood
Susceptibility Maps (FSMs) became vital for flood prevention, risk mitigation, and decision …
Susceptibility Maps (FSMs) became vital for flood prevention, risk mitigation, and decision …
Comparing thresholding with machine learning classifiers for map** complex water
Small reservoirs play an important role in mining, industries, and agriculture, but storage
levels or stage changes are very dynamic. Accurate and up-to-date maps of surface water …
levels or stage changes are very dynamic. Accurate and up-to-date maps of surface water …
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
The present research aims to assess and judge the capability of flash flood susceptibility
(FFS) models considering hybrid machine learning ensemble techniques for the FFS …
(FFS) models considering hybrid machine learning ensemble techniques for the FFS …
Comparison of statistical and MCDM approaches for flood susceptibility map** in northern Iran
Accurate map** of flood risk areas is the basis for providing basic information on flood
hazard reduction strategies and facilitates the relocation process. This study compared …
hazard reduction strategies and facilitates the relocation process. This study compared …
Critical infrastructure impact assessment due to flood exposure
Critical national infrastructures, including energy, transport, digital communications, and
water, are prone to flood damage. Their geographical extent is a determinant of, and is …
water, are prone to flood damage. Their geographical extent is a determinant of, and is …
Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility map** of Ernakulam district (India)
RT Vilasan, VS Kapse - Natural Hazards, 2022 - Springer
Floods are one of the frequent natural hazards occurring in Kerala because of the
remarkably high annual rate of rainfall. The objective of this study is to prepare the flood …
remarkably high annual rate of rainfall. The objective of this study is to prepare the flood …