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 …
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Episodes of frequent flooding continue to increase, often causing serious damage and tools
to identify areas affected by such disasters have become indispensable in today's society …
to identify areas affected by such disasters have become indispensable in today's society …
Spatial modelling of gully erosion in Mazandaran Province, northern Iran
Gully erosion is one of the most severe environmental problems in large areas of Iran. The
spatial distribution of gully erosion and its susceptibility zonation was studied using different …
spatial distribution of gully erosion and its susceptibility zonation was studied using different …
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Flood occurs as a result of high intensity and long-term rainfalls accompanied by snowmelt
which flow out of the main river channel onto the flood prone areas and damage the …
which flow out of the main river channel onto the flood prone areas and damage the …
Urban flood risk mapping: A state-of-the-art review on quantification, current practices, and future challenges
Floods are one of the most frequently occurring natural disasters, causing widespread
devastation, economic damage, and threat to human lives. Hydrologic impacts of climate …
devastation, economic damage, and threat to human lives. Hydrologic impacts of climate …
[HTML][HTML] Flood susceptibility assessment using artificial neural networks in Indonesia
S Priscillia, C Schillaci, A Lipani - Artificial Intelligence in Geosciences, 2021 - Elsevier
Flood incidents can massively damage and disrupt a city economic or governing core.
However, flood risk can be mitigated through event planning and city-wide preparation to …
However, flood risk can be mitigated through event planning and city-wide preparation to …
Gully erosion modeling using GIS-based data mining techniques in Northern Iran: a comparison between boosted regression tree and multivariate adaptive …
M Zabihi, HR Pourghasemi, A Motevalli… - Natural hazards GIS …, 2019 - Springer
Land degradation occurs in the form of soil erosion in many regions of the world. Among the
different type of soil erosion, high sediment yield volume in the watersheds is allocated to …
different type of soil erosion, high sediment yield volume in the watersheds is allocated to …
Development of regional flood frequency analysis techniques using generalized additive models for Australia
Estimation of flood quantiles in ungauged catchments is a common problem in hydrology.
For this, the log-linear regression model is widely adopted. However, in many cases, a …
For this, the log-linear regression model is widely adopted. However, in many cases, a …
Delineation of flooding risk hotspots based on digital elevation model, calculated and historical flooding extents: the case of Ouagadougou
Delineation of flood risk hotspots can be considered as one of the first steps in an integrated
methodology for urban flood risk management and mitigation. This paper presents a step-by …
methodology for urban flood risk management and mitigation. This paper presents a step-by …
Analyzing sensitivity of flood susceptible model in a flood plain river basin
Flood is considered one of the most dangerous natural disasters among all-natural
disasters. Prediction of flood susceptible areas is a primary task for adopting management …
disasters. Prediction of flood susceptible areas is a primary task for adopting management …