Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas-Morocco

A El Alaoui El Fels, NE Alaa, A Bachnou… - Earth Science …, 2022 - Springer
The definition of flood protection plans in semi-arid mountain environments requires
awareness of the hazard, its assessment and the analysis of its probabilities of occurrence …

Statistical analysis and ANN modeling for predicting hydrological extremes under climate change scenarios: The example of a small Mediterranean agro-watershed

NN Kourgialas, Z Dokou, GP Karatzas - Journal of environmental …, 2015 - Elsevier
The purpose of this study was to create a modeling management tool for the simulation of
extreme flow events under current and future climatic conditions. This tool is a combination …

Flood frequency analysis and generation of flood hazard indicator maps in a semi-arid environment, case of Ourika watershed (western High Atlas, Morocco)

AEA El Fels, N Alaa, A Bachnou, S Rachidi - Journal of African Earth …, 2018 - Elsevier
The development of the statistical models and flood risk modeling approaches have seen
remarkable improvements in their productivities. Their application in arid and semi-arid …

Regional flood frequency analysis in the High Atlas mountainous catchments of Morocco

W Zkhiri, Y Tramblay, L Hanich, B Berjamy - Natural Hazards, 2017 - Springer
In semi-arid catchments, the contribution of floods to annual runoff is important. The High
Atlas Mountain catchments (N'Fis, Rheraya, Ourika, Zat and R'dat) located in the south of …

Flood risk management in Allala River (Algeria) using Flood frequency analysis and hydraulic modeling

B Issam, A Khadzhidi, L Kravchenko… - E3S Web of …, 2019 - e3s-conferences.org
The objective of flood frequency analysis (FFA) is to associate flood intensity with a
probability of exceedance and for making probabilistic estimates of a future flood event in …

[HTML][HTML] Use of computational intelligence techniques to predict flooding in places adjacent to the Magdalena River

JM Moreno, JM Sánchez, HE Espitia - Heliyon, 2020 - cell.com
Floods are one of the worst natural disasters in the world. Colombia is a country that has
been greatly affected by this disaster. For example, in the years 2010 and 2011 there was a …

Application of a machine learning technique for developing short-term flood and drought forecasting models in tropical mountainous catchments

P Muñoz, J Orellana-Alvear, R Célleri - Integrated Research on Disaster …, 2021 - Springer
Floods and droughts are among the most common natural hazards worldwide. They
produce major impacts on society, economy, and ecosystems. Even worst, the frequency …

[PDF][PDF] Application of artificial neural networks (ANNs) in prediction models in risk management

M Nasri - World Applied Sciences Journal, 2010 - Citeseer
Due to lack of confidence, the process of decision making and planning is a difficult task.
Various tools are available to help decision-makers and planners as well as risk …

Extreme floods in central Jordan: Frequency analysis

Z Tarawneh, N Hadadin, E Tarawneh - Italian journal of …, 2020 - rosa.uniroma1.it
This research aims at analyzing the frequency and duration distribution of extreme floods,
including flash, in the Wala catchment-Central Jordan. The observed daily flows series …

Spatial Mapping of Extreme Precipitation Events Using Artificial Neural Networks

H Hammami, S Elasmi - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In recent decades, floods have emerged as significant concerns with profound implications
for human lives and infrastructure. In order to mitigate potential casualties, the development …