Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
GIS-based MCDM–AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
D Souissi, L Zouhri, S Hammami… - Geocarto …, 2020 - Taylor & Francis
Floods are considered as a major natural disaster due to their devastating effects that lead to
socio-economic losses. The present study is an attempt to prepare a flood hazard …
socio-economic losses. The present study is an attempt to prepare a flood hazard …
Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …
[HTML][HTML] A comprehensive review of AI-based methods used for forecasting ice jam floods occurrence, severity, timing, and location
River ice breakup can affect most rivers in cold climate during winter, posing a serious threat
of Ice-Jam Floods (IJFs) to riverine communities. IJFs are challenging to predict due to their …
of Ice-Jam Floods (IJFs) to riverine communities. IJFs are challenging to predict due to their …
Disturbances in North American boreal forest and Arctic tundra: impacts, interactions, and responses
Abstract Ecosystems in the North American Arctic-Boreal Zone (ABZ) experience a diverse
set of disturbances associated with wildfire, permafrost dynamics, geomorphic processes …
set of disturbances associated with wildfire, permafrost dynamics, geomorphic processes …
Ice-jam flood research: a scoping review
Almost 60% of the rivers in the northern hemisphere experience significant seasonal effects
of river ice. In many of these northern rivers, ice-jam floods (IJFs) pose serious threats to …
of river ice. In many of these northern rivers, ice-jam floods (IJFs) pose serious threats to …
RIVICE—A non-proprietary, open-source, one-dimensional river-ice model
KE Lindenschmidt - Water, 2017 - mdpi.com
Currently, no river ice models are available that are free and open source software (FOSS),
which can be a hindrance to advancement in the field of modelling river ice processes. This …
which can be a hindrance to advancement in the field of modelling river ice processes. This …
Trends in the timing and magnitude of ice-jam floods in Canada
Ice-jam floods (IJFs) are important hydrological and hydraulic events in the northern
hemisphere that are of major concern for citizens, authorities, insurance companies and …
hemisphere that are of major concern for citizens, authorities, insurance companies and …
Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard
KE Lindenschmidt - Hydrology Research, 2023 - iwaponline.com
In the spring of 2020, the town of Fort McMurray, which lies on the banks of the Athabasca
River, experienced an ice-jam flood event that was the most severe in approximately 60 …
River, experienced an ice-jam flood event that was the most severe in approximately 60 …
Real-time prediction of river ice breakup phenomena: A jittered genetic programming model and wavelet analysis integrating remotely sensed imagery and machine …
S Andaryani, A Afkhaminia - Journal of Hydrology, 2024 - Elsevier
Forecasting the timing of breakup ice jams in rivers is crucial for early flood warning and
effective management in cold regions where rising river flows can lead to significant …
effective management in cold regions where rising river flows can lead to significant …