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Vahid Nourani
Vahid Nourani
Professor of Civil and Env. Eng., Univ. of Tabriz , Near East Univ., Charles Darwin Univ.
在 tabrizu.ac.ir 的电子邮件经过验证 - 首页
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Climate variability impacts on runoff projection in the 21st century based on the applicability assessment of multiple GCMs: A case study of the Lushi Basin, China
P Xue, C Zhang, Z Wen, F Yu, E Park, V Nourani
Journal of Hydrology 638, 131383, 2024
2024
Multi-Step-Ahead Rainfall-Runoff Modeling: Decision Tree-Based Clustering for Hybrid Wavelet Neural-Networks Modeling
A Molajou, V Nourani, AD Tajbakhsh, HA Variani, M Khosravi
Water Resources Management, 1-20, 2024
2024
Groundwater exhibits spatially opposing trends during the Australian millennial drought
Y Chen, Y Zhang, J Tian, V Nourani, N Ma, X Zhang, Z Xu, Q Huang, ...
Environmental Research Letters, 2024
2024
Regionalization of GRACE data in shorelines by ensemble of artificial intelligence methods
V Nourani, NJ Paknezhad, S Mohammadisepasi, Y Zhang
Journal of Hydrology 636, 131268, 2024
2024
Assessing rainfall-runoff models for climate change: Simple and differential split-sample tests for conceptual and artificial intelligence models
N Behfar, MJ Booij, V Nourani
Hydrological Sciences Journal, 1-17, 2024
12024
New Z-Number-Based Method for Specialized Groundwater Vulnerability Assessment (Case studies: The Ardabil and Qorveh-Dehgolan plains)
S Maleki, V Nourani, H Najafi
Hydrogeomorphology 11 (38), 122-98, 2024
2024
Multivariate GRU and LSTM models for wave forecasting and hindcasting in the southern Caspian Sea
MJ Alizadeh, V Nourani
Ocean Engineering 298, 117193, 2024
12024
A systematic review of predictor screening methods for downscaling of numerical climate models
AH Baghanam, V Nourani, M Bejani, H Pourali, SA Kantoush, Y Zhang
Earth-Science Reviews, 104773, 2024
2024
Improving the statistical downscaling performance of climatic parameters with convolutional neural networks
A Hosseini Baghanam, V Nourani, M Bejani, CQ Ke
Journal of Water and Climate Change 15 (4), 1772-1796, 2024
2024
Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia
B Raheli, N Talabbeydokhti, S Saadat, V Nourani
Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2024
2024
Review of Stochastic Modeling: A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software by Hossein Bonakdari and …
V Nourani
Journal of Hydrologic Engineering 29 (2), 07524002, 2024
2024
Spatiotemporal assessment of groundwater quality and quantity using geostatistical and ensemble artificial intelligence tools
V Nourani, A Ghaffari, N Behfar, E Foroumandi, A Zeinali, CQ Ke, ...
Journal of Environmental Management 355, 120495, 2024
22024
Z-number based assessment of groundwater vulnerability to seawater intrusion
V Nourani, H Najafi, S Maleki, NJ Paknezad, JJ Huang, P Zhang, ...
Journal of Hydrology 632, 130859, 2024
22024
Exploring stochastic differential equation for analyzing uncertainty in wastewater treatment plant-activated sludge modeling
RS Zonouz, V Nourani, M Sayyah-Fard, H Gokcekus, CQ Ke
AQUA—Water Infrastructure, Ecosystems and Society 73 (3), 520-537, 2024
2024
Drought index downscaling using AI-based ensemble technique and satellite data
N Behfar, E Sharghi, V Nourani, MJ Booij
Theoretical and Applied Climatology 155 (3), 2379-2397, 2024
2024
A fuzzy logic-based approach for groundwater vulnerability assessment
V Nourani, S Maleki, H Najafi, AH Baghanam
Environmental Science and Pollution Research 31 (12), 18010-18029, 2024
72024
Combining Artificial Intelligence and Systems Thinking Tools to Predict Climate Change
V Nourani, H Gökçekuş, F Bolouri, J Mabrouki
Advanced Systems for Environmental Monitoring, IoT and the application of …, 2024
2024
Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review
V Nourani, NJ Paknezhad, A Ag, Z Wen, D Dabrowska, S Üzelaltınbulat
Groundwater for Sustainable Development, 101113, 2024
12024
Hydrologic connectivity assessment among natural hydrosystem components using emerging entropy and evolutionary computing methods
S Jafariroodsari, H Gökçekuş, V Nourani
AQUA—Water Infrastructure, Ecosystems and Society 73 (2), 286-301, 2024
12024
A drought study in the basin of Lake Urmia under climate change scenarios with higher spatial resolution to understand the resilience of the basin
P Mohammad Pourian Bazzaz, S Sadeghfam, R Khatibi, V Nourani
Journal of Water and Climate Change 15 (2), 453-475, 2024
12024
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