Comprehensive overview of flood modeling approaches: A review of recent advances
As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …
[HTML][HTML] Flash flood susceptibility modelling using soft computing-based approaches: from bibliometric to meta-data analysis and future research directions
In recent years, there has been a growing interest in flood susceptibility modeling. In this
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …
Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm
Today, water supply in order to achieve sustainable development goals is one of the most
important concerns and challenges in most countries. For this reason, accurate identification …
important concerns and challenges in most countries. For this reason, accurate identification …
Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms
Flood is considered as the most devastating natural hazards that cause the death of many
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
lives worldwide. The present study aimed to predict flood vulnerability for Warsaw, Poland …
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 …
Revisiting 2013 Uttarakhand flash floods through hydrological evaluation of precipitation data sources and morphometric prioritization
With advancements in computational technology, data assimilation techniques, high-
resolution remote sensing, and complex climate models, numerous precipitation products …
resolution remote sensing, and complex climate models, numerous precipitation products …
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United …
This study proposes a novel flash flood susceptibility prediction framework with a particular
emphasis on the extent of imbalance between the number of flooding and non-flooding …
emphasis on the extent of imbalance between the number of flooding and non-flooding …
Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya
S Saha, A Saha, TK Hembram, B Kundu… - Geocarto …, 2022 - Taylor & Francis
Over the years, landslide has become one of the most destructive events that can happen in
hilly areas. Tehri, a region in the Himalayas is no different. Current research aids in the …
hilly areas. Tehri, a region in the Himalayas is no different. Current research aids in the …
[HTML][HTML] A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms
Identifying flood-prone regions is critical for effective management of flood hazards as floods
are among the most devastating natural disasters globally. However, accurate modeling and …
are among the most devastating natural disasters globally. However, accurate modeling and …