Výsledky vyhledávání - "Saeed Reza Khodashenas"

Akademický článek

Using geomorphologic indicators in preparation for flood zoning and flood risk maps in the Kashafroud basin, Iran

Autor: Ghasem Panahi, Saeed Reza Khodashenas, Alireza Faridhosseini

Publikováno v: Journal of Flood Risk Management, Vol 17, Iss 2, Pp n/a-n/a (2024)

Abstract The risk of flooding has become more significant in many parts of the world due to climate change and increased urbanization. Flood has devastating effects on infrastructure, and communities, causing damage to property and loss of life. Simu

Externí odkaz: https://doaj.org/article/679ec7826e0c4ef685e4472f33a6c5e7

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Akademický článek

Experimental Investigation on the Effect of Sequences of Unsteady Flows on Bedload Sediment Transport

Autor: Zahra Askari, Luca Mao, Saeed Reza Khodashenas, Kazem Esmaili

Publikováno v: Geosciences, Vol 14, Iss 7, p 193 (2024)

Flash floods in ephemeral streams are rare, short and difficult to forecast and thus to monitor. During these events, bedload transport reaches very high rates and most sediment transport occurs within a limited number of hours during the course of a

Externí odkaz: https://doaj.org/article/8fc1b6a029a34faab6f0773ab3e0dc43

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Akademický článek

Optimization of Nonlinear Parameters of Muskingum NL5 model With SHO algorithm

Autor: Saeid Khalifeh, Seyyed Alireza Esmaili, Kazem Esmaili, Saeed Reza Khodashenas

Publikováno v: علوم و مهندسی آبیاری, Vol 45, Iss 3, Pp 113-129 (2022)

The Muskingum method was first developed by U.S. Army engineers to study flood control in the Muskingum River Basin in Ohio. To evaluate the performance of the SHO algorithm, the results of its implementation have been compared with other basic algor

Externí odkaz: https://doaj.org/article/4736ee996c2d4a00bcb56acb26774266

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Akademický článek

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Autor: Azadeh Gholami, Hossein Bonakdari, Isa Ebtehaj, Seyed Hamed Ashraf Talesh, Saeed Reza Khodashenas, Ali Jamali

Publikováno v: Applied Water Science, Vol 9, Iss 3, Pp 1-14 (2019)

Abstract In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state

Externí odkaz: https://doaj.org/article/fa9e074091504705abc6e335776ce333

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Akademický článek

Estimation of nonlinear parameters of the type 5 Muskingum model using SOS algorithm

Autor: Saeid Khalifeh, Kazem Esmaili, Saeed Reza Khodashenas, Vahid Khalifeh

Publikováno v: MethodsX, Vol 7, Iss , Pp 101040- (2020)

The Symbiotic Organisms Search Algorithm (SOS) is used as an algorithm based on the social behavior of Symbiotic Organisms in optimization of Non-linear 5 model parameters for flood routing.The data used in this article is 4 day observations from 30

Externí odkaz: https://doaj.org/article/c6bf61d15dbc41ceb70b26733f237a8a

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Prediction of groundwater level fluctuations under climate change based on machine learning algorithms in the Mashhad aquifer, Iran

Autor: Ghasem Panahi, Mahya Hassanzadeh Eskafi, Alireza Faridhosseini, Saeed Reza Khodashenas, Abbas Rohani

Publikováno v: Journal of Water and Climate Change. 14:1039-1059

The purpose of this study is the projection of climate change's impact on the Groundwater Level (GWL) fluctuations in the Mashhad aquifer during the future period (2022–2064). In the first step, the climatic variables using ACCESS-CM2 model under t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2f3a8673cbf869e547aeceeba9195f3
https://doi.org/10.2166/wcc.2023.027

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Projection of Groundwater Level Fluctuations Using Different Machine Learning Algorithms under Climate Change in the Mashhad Aquifer, Iran

Autor: Ghasem Panahi, Mahya Hassanzadeh Eskafi, Alireza Faridhosseini, Saeed Reza Khodashenas, Abbas Rohani

Due to population growth in recent years and climate change in arid and semi-arid regions, the lack of rainfall and the reduction of surface water flows required in various sectors, monitoring and projection of the climate change impact on the Ground

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11a28f90b58c94ec1267e0feda5e1324
https://doi.org/10.21203/rs.3.rs-2319553/v1

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