Systematic review of multi-dimensional vulnerabilities in the Himalayas
H Sultan, J Zhan, W Rashid, X Chu… - International Journal of …, 2022 - mdpi.com
The Himalayan region is a fragile high mountain landscape where the population
experiences acute vulnerability within a complex coupled human–natural system due to …
experiences acute vulnerability within a complex coupled human–natural system due to …
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
This research proposes and evaluates a new approach for flash flood susceptibility mapping
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …
An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge
Floods are one of the most common natural disasters, resulting in the extensive destruction
of infrastructure, property, and human life. The destructive potential of a flood depends on …
of infrastructure, property, and human life. The destructive potential of a flood depends on …
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 …
Morphometric analysis and prioritisation of watersheds for flood risk management in Wadi Easal Basin (WEB), Jordan, using geospatial technologies
Morphometric analysis and sub‐watersheds prioritisation were carried out for the Wadi
Easal Basin, Jordan, which is characterised by a high topographic diversity. The total …
Easal Basin, Jordan, which is characterised by a high topographic diversity. The total …
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 …
Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria
TG Nachappa, O Ghorbanzadeh, K Gholamnia… - Remote Sensing, 2020 - mdpi.com
We live in a sphere that has unpredictable and multifaceted landscapes that make the risk
arising from several incidences that are omnipresent. Floods and landslides are widespread …
arising from several incidences that are omnipresent. Floods and landslides are widespread …
Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study
AK Saha, S Agrawal - Nanotechnology for Environmental Engineering, 2020 - Springer
Flood is a catastrophic natural disaster event that is immensely threatening and affecting
ecosystems as well as human lives all over the world. Flood frequently occurs in Indian …
ecosystems as well as human lives all over the world. Flood frequently occurs in Indian …
A new hybrid firefly–PSO optimized random subspace tree intelligence for torrential rainfall-induced flash flood susceptible mapping
Flash flood is one of the most dangerous natural phenomena because of its high
magnitudes and sudden occurrence, resulting in huge damages for people and properties …
magnitudes and sudden occurrence, resulting in huge damages for people and properties …
Identification of flash-floods-prone river reaches in Beas river basin using GIS-based multi-criteria technique: validation using field and satellite observations
In view of an exponential increase in the negative impacts of flash-floods globally, the
present work aims at the identification of flash-floods-prone river reaches in the Beas river …
present work aims at the identification of flash-floods-prone river reaches in the Beas river …