Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mehdi Rezaeianzadeh"'
Publikováno v:
Estuaries and Coasts. 44:1816-1830
Tidal freshwater forested wetlands (TFFWs) commonly occur along coastal rivers; however, sea level rise and changes to river discharge may impact these wetlands. Information that characterizes the hydrology and salinity regime of the TFFW zone is nee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e38ceb607e53bc8b0289231e5672f0d
https://doi.org/10.1007/s12237-021-00911-8
https://doi.org/10.1007/s12237-021-00911-8
Publikováno v:
J Hydrol (Amst)
Simulating water moisture flow in variably saturated soils with a relatively shallow water table is challenging due to the high nonlinear behavior of Richards' equation (RE). A two-layer approximation of RE was derived in this paper, which describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e678115ffc0878b1107b9923ee2f0b80
https://doi.org/10.1016/j.jhydrol.2021.126797
https://doi.org/10.1016/j.jhydrol.2021.126797
Publikováno v:
World Environmental and Water Resources Congress 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7596596795fe872029419da65ea980c7
https://doi.org/10.1061/9780784482346.012
https://doi.org/10.1061/9780784482346.012
Publikováno v:
Water resources management, 30(7), 2245-2259. Springer
Water resources management is a complex task. It requires accurate prediction of inflow to reservoirs for the optimal management of surface resources, especially in arid and semi-arid regions. It is in particular complicated by droughts. Markov chain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24eea0367f6754e3e61a0acba5feddb5
https://doi.org/10.1007/s11269-016-1283-0
https://doi.org/10.1007/s11269-016-1283-0
Publikováno v:
Journal of Hydrologic Engineering. 22
This study introduces two artificial neural network (ANN)-based methodologies to predict hourly water levels (WLs) in wetlands characterized by water tables at or near the surface that respond rapidly to precipitation. The first method makes use of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ef04a9da835ba5ebf0f6051ec1bc90
https://doi.org/10.1061/(asce)he.1943-5584.0001276
https://doi.org/10.1061/(asce)he.1943-5584.0001276
Publikováno v:
Neural Computing and Applications. 25:25-37
Flood prediction is an important for the design, planning and management of water resources systems. This study presents the use of artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), multiple linear regression (MLR) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb8305c0b2f8c3a35dfdedac9ccdd626
https://doi.org/10.1007/s00521-013-1443-6
https://doi.org/10.1007/s00521-013-1443-6
Publikováno v:
Environment, Development and Sustainability. 16:103-122
The main goal of this study was to evaluate the different feed-forward back-propagation artificial neural networks’ (ANNs) potential to estimate and interpolate the reference crop evapotranspiration (ET0) in Fars province of Iran. ET0 was calculate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53bb711ea2f8586c32e2487b19090913
https://doi.org/10.1007/s10668-013-9465-x
https://doi.org/10.1007/s10668-013-9465-x
Publikováno v:
Theoretical and Applied Climatology. 109:519-528
This study employed two artificial neural network (ANN) models, including multi-layer perceptron (MLP) and radial basis function (RBF), as data-driven methods of hourly air temperature at three meteorological stations in Fars province, Iran. MLP was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a727468a9f75b8314418e40666986f
https://doi.org/10.1007/s00704-012-0595-0
https://doi.org/10.1007/s00704-012-0595-0
Autor:
Hossein Tabari, Mehdi Rezaeianzadeh
Publikováno v:
Theoretical and Applied Climatology. 109:407-414
Water resources management is a complex task and is further compounded by droughts. This study applies a multilayer perceptron network optimized using Levenberg–Marquardt (MLP) training algorithm with a tangent sigmoid activation function to foreca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d65eee1d3dab219c9553c0afcbd95754
https://doi.org/10.1007/s00704-012-0592-3
https://doi.org/10.1007/s00704-012-0592-3
Autor:
Faezeh Ejraee, Mohammad Reza Kousari, Hossein Ahani, Mehrzad Kherad, Saeedeh Kamali, Mohammad Amin Karampour, Mehdi Rezaeianzadeh
Publikováno v:
Theoretical and Applied Climatology. 109:361-382
Under condition of climate changes as global warming, monitoring and detecting trend of precipitation volume is essential and will be useful for agricultural sections. Considering the fact that there were not enough research related to precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a8fc557611474dee92175701d9a93c
https://doi.org/10.1007/s00704-011-0572-z
https://doi.org/10.1007/s00704-011-0572-z