[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 …
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran
O Asadi Nalivan, SA Mousavi Tayebi… - … Research and Risk …, 2023 - Springer
The importance of groundwater potential mapping (GWPM) is eminent for the proper
management of underpinning resources. This research applies artificial intelligence-based …
management of underpinning resources. This research applies artificial intelligence-based …
Flood hazard risk assessment based on multi-criteria spatial analysis GIS as input for spatial planning policies in Tegal Regency, Indonesia
Recent discussions on flood disasters concern the risk factors and causes between nature
and anthropogenic activities. This disaster requires serious handling, which needs to be …
and anthropogenic activities. This disaster requires serious handling, which needs to be …
An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping
T Hai, B Theruvil Sayed, A Majdi, J Zhou… - Geocarto …, 2023 - Taylor & Francis
A hybrid machine learning method is proposed for wildfire susceptibility mapping. For
modeling a geographical information system (GIS) database including 11 influencing factors …
modeling a geographical information system (GIS) database including 11 influencing factors …
Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change
Floods and landslides have cascading effects on coastal areas of Bangladesh. This study
aims to develop multi-hazard maps (eg, floods and landslides) for the coastal region, by …
aims to develop multi-hazard maps (eg, floods and landslides) for the coastal region, by …
Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
One of the non-structural methods for flood management is preparing flood susceptibility
mapping (FSM). The performance of flood susceptibility models significantly depends on the …
mapping (FSM). The performance of flood susceptibility models significantly depends on the …
Predicting solid waste generation based on the ensemble artificial intelligence models under uncertainty analysis
Waste is a critical issue the modern world is facing, and its management involves many
imperative parameters with distinct, negative impacts on the environment. From a …
imperative parameters with distinct, negative impacts on the environment. From a …
Exploitation of the ensemble-based machine learning strategies to elevate the precision of CORDEX regional simulations in precipitation projection
A Ghaemi, SA Hashemi Monfared, A Bahrpeyma… - Earth Science …, 2024 - Springer
Abstract Multi-model Ensembles (MMEs) are widely used to reduce uncertainties associated
with simulations and projections of GCM/RCM. MMEs combine the results of multiple climate …
with simulations and projections of GCM/RCM. MMEs combine the results of multiple climate …
Wildfire Risk Assessment Considering Seasonal Differences: A Case Study of Nanning, China
W Yue, C Ren, Y Liang, X Lin, A Yin, J Liang - Forests, 2023 - mdpi.com
Wildfire disasters pose a significant threat to the stability and sustainability of ecosystems.
The assessment of wildfire risk based on a seasonal dimension has contributed to improving …
The assessment of wildfire risk based on a seasonal dimension has contributed to improving …
Review of Flash Flood Susceptibility Modeling Derived from Machine Learning Algorithms with Input Data from Remote Sensing Sources
Flash floods can have devastating effects on life and property. Flash flood susceptibility is a
measurement of the likelihood at which flash floods can occur in an area based on the local …
measurement of the likelihood at which flash floods can occur in an area based on the local …