Vahid Nourani
Vahid Nourani
Professor of Civil and Environmental Eng., University of Tabriz and Near East University
Verified email at - Homepage
Cited by
Cited by
Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
V Nourani, AH Baghanam, J Adamowski, O Kisi
Journal of Hydrology 514, 358-377, 2014
A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation
V Nourani, MT Alami, MH Aminfar
Engineering Applications of Artificial Intelligence 22 (3), 466-472, 2009
A multivariate ANN-wavelet approach for rainfall–runoff modeling
V Nourani, M Komasi, A Mano
Water resources management 23 (14), 2877-2894, 2009
Two hybrid artificial intelligence approaches for modeling rainfall–runoff process
V Nourani, Ö Kisi, M Komasi
Journal of Hydrology 402 (1-2), 41-59, 2011
Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
T Rajaee, SA Mirbagheri, M Zounemat-Kermani, V Nourani
Science of the total environment 407 (17), 4916-4927, 2009
An ANN‐based model for spatiotemporal groundwater level forecasting
V Nourani, AA Mogaddam, AO Nadiri
Hydrological Processes: An International Journal 22 (26), 5054-5066, 2008
River suspended sediment load prediction: application of ANN and wavelet conjunction model
T Rajaee, V Nourani, M Zounemat-Kermani, O Kisi
Journal of Hydrologic Engineering 16 (8), 613-627, 2011
Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling
V Nourani, AH Baghanam, J Adamowski, M Gebremichael
Journal of hydrology 476, 228-243, 2013
Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes
V Nourani, MS Fard
Advances in Engineering Software 47 (1), 127-146, 2012
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
V Nourani, B Pradhan, H Ghaffari, SS Sharifi
Natural hazards 71 (1), 523-547, 2014
Hybrid wavelet–genetic programming approach to optimize ANN modeling of rainfall–runoff process
V Nourani, M Komasi, MT Alami
Journal of Hydrologic Engineering 17 (6), 724-741, 2012
Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model
T Rajaee, SA Mirbagheri, V Nourani, A Alikhani
International Journal of Environmental Science & Technology 7 (1), 93-110, 2010
An emotional ANN (EANN) approach to modeling rainfall-runoff process
V Nourani
Journal of Hydrology 544, 267-277, 2017
Wavelet-entropy data pre-processing approach for ANN-based groundwater level modeling
V Nourani, MT Alami, FD Vousoughi
Journal of Hydrology 524, 255-269, 2015
A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process
V Nourani, M Komasi
Journal of Hydrology 490, 41-55, 2013
Daily and monthly suspended sediment load predictions using wavelet based artificial intelligence approaches
V Nourani, G Andalib
Journal of Mountain Science 12 (1), 85-100, 2015
Semi‐distributed flood runoff model at the subcontinental scale for southwestern Iran
V Nourani, A Mano
Hydrological Processes: An International Journal 21 (23), 3173-3180, 2007
A review of the artificial intelligence methods in groundwater level modeling
T Rajaee, H Ebrahimi, V Nourani
Journal of hydrology 572, 336-351, 2019
A new approach for simulating and forecasting the rainfall-runoff process within the next two months
MJ Alizadeh, MR Kavianpour, O Kisi, V Nourani
Journal of hydrology 548, 588-597, 2017
Spatiotemporal groundwater level forecasting in coastal aquifers by hybrid artificial neural network-geostatistics model: a case study
V Nourani, RG Ejlali, MT Alami
Environmental Engineering Science 28 (3), 217-228, 2011
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