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Vahid Gholami
Vahid Gholami
Adresă de e-mail confirmată pe guilan.ac.ir
Titlu
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Citat de
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Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers
V Gholami, KW Chau, F Fadaee, J Torkaman, A Ghaffari
Journal of hydrology 529, 1060-1069, 2015
2732015
A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer
H Sahour, V Gholami, M Vazifedan
Journal of Hydrology 591, 125321, 2020
1552020
Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
A Motevalli, SA Naghibi, H Hashemi, R Berndtsson, B Pradhan, ...
Journal of cleaner production 228, 1248-1263, 2019
1172019
Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data
V Gholami, MJ Booij, EN Tehrani, MA Hadian
Catena 163, 210-218, 2018
1162018
Machine learning applications for water-induced soil erosion modeling and mapping
H Sahour, V Gholami, M Vazifedan, S Saeedi
Soil and Tillage Research 211, 105032, 2021
852021
Soil erosion modeling using erosion pins and artificial neural networks
V Gholami, H Sahour, MAH Amri
Catena 196, 104902, 2021
782021
Efficiency of the geomorphologic instantaneous unit hydrograph method in flood hydrograph simulation
MR Khaleghi, V Gholami, J Ghodusi, H Hosseini
Catena 87 (2), 163-171, 2011
762011
Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings
H Sahour, V Gholami, J Torkaman, M Vazifedan, S Saeedi
Environmental Earth Sciences 80, 1-14, 2021
582021
A method of groundwater quality assessment based on fuzzy network-CANFIS and geographic information system (GIS)
V Gholami, MR Khaleghi, M Sebghati
Applied Water Science 7 (7), 3633-3647, 2017
562017
The impact of vegetation on the bank erosion (case study: the Haraz River).
V Gholami, MR Khaleghi
532013
Comparison of self-organizing map, artificial neural network, and co-active neuro-fuzzy inference system methods in simulating groundwater quality: geospatial artificial …
V Gholami, MR Khaleghi, S Pirasteh, MJ Booij
Water Resources Management 36 (2), 451-469, 2022
492022
Modeling of ground water salinity on the Caspian southern coasts
V Gholami, Z Yousefi, H Zabardast Rostami
Water resources management 24, 1415-1424, 2010
482010
Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data
V Gholami, H Sahour
Theoretical and Applied Climatology 147 (1), 87-98, 2022
462022
Use of machine learning and geographical information system to predict nitrate concentration in an unconfined aquifer in Iran
V Gholami, MJ Booij
Journal of Cleaner Production 360, 131847, 2022
392022
Effects of impervious surfaces and urban development on runoff generation and flood hazard in the Hajighoshan watershed
V Gholami, M Mohseni Saravi, H Ahmadi
Caspian journal of environmental sciences 8 (1), 1-12, 2010
372010
Evaluation of climate change in northern Iran during the last four centuries by using dendroclimatology
V Gholami, MA Jolandan, J Torkaman
Natural Hazards, 1-16, 2017
342017
Assessing the vulnerability of groundwater to salinization using GIS-based data-mining techniques in a coastal aquifer
A Motevalli, HR Pourghasemi, H Hashemi, V Gholami
Spatial modeling in GIS and R for earth and environmental sciences, 547-571, 2019
312019
A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands.
V Gholami, MR Khaleghi
Journal of Forest Science (1212-4834) 67 (4), 2021
302021
Artificial neural network technique for rainfall temporal distribution simulation (Case study: Kechik region)
V Gholami, Z Darvari, M Mohseni Saravi
Caspian Journal of Environmental Sciences 13 (1), 53-60, 2015
302015
A comparison between natural forests and reforested lands in terms of runoff generation potential and hydrologic response (case study: Kasilian Watershed).
EH Gholzom, V Gholami
302012
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Articole 1–20