Flood hazard mapping methods: A review
Flood hazard mapping (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 …
Deep learning methods for flood mapping: a review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees
R Abedi, R Costache… - Geocarto …, 2022 - Taylor & Francis
Historical exploration of flash flood events and producing flash-flood susceptibility maps are
crucial steps for decision makers in disaster management. In this article, classification and …
crucial steps for decision makers in disaster management. In this article, classification and …
[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 …
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …
SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …
have heightened global concerns in light of climate change. Flood susceptibility modeling is …
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Flood is the most common phenomenon causing extensive disruption to the environment,
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree
Flash floods pose a major challenge in various regions of the world, causing serious
damage to life and property. Here we investigated the Izvorul Dorului river basin from …
damage to life and property. Here we investigated the Izvorul Dorului river basin from …
[HTML][HTML] Catchment-scale flood hazard mapping and flood vulnerability analysis of residential buildings: The case of Khando River in eastern Nepal
Study region This study considers the Khando River (a tributary of Koshi River) in eastern
Nepal. Study focus To quantify the hazard and vulnerabilities across one of the frequently …
Nepal. Study focus To quantify the hazard and vulnerabilities across one of the frequently …
A novel hybrid GIS‐based multi‐criteria decision‐making approach for flood susceptibility analysis in large ungauged watersheds
R Sahraei, Y Kanani‐Sadat… - Journal of Flood Risk …, 2023 - Wiley Online Library
Characterizing and identification of flood‐susceptible areas can be a solution to mitigate the
damages and fatality rate. This study proposes a novel hybrid MCDM framework to assess …
damages and fatality rate. This study proposes a novel hybrid MCDM framework to assess …