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Omid Asadi Nalivan
Omid Asadi Nalivan
Gorgan University of Agricultural Sciences & Natural Resources
Bestätigte E-Mail-Adresse bei ut.ac.ir
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Zitiert von
Zitiert von
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The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
DD Moghaddam, O Rahmati, M Panahi, J Tiefenbacher, H Darabi, ...
Catena 187, 104421, 2020
1012020
Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
A Arabameri, SC Pal, F Rezaie, OA Nalivan, I Chowdhuri, A Saha, S Lee, ...
Journal of Hydrology: Regional Studies 36, 100848, 2021
692021
Novel machine learning approaches for modelling the gully erosion susceptibility
A Arabameri, O Asadi Nalivan, S Chandra Pal, R Chakrabortty, A Saha, ...
Remote Sensing 12 (17), 2833, 2020
632020
GIS-based site selection for check dams in watersheds: considering geomorphometric and topo-hydrological factors
O Rahmati, Z Kalantari, M Samadi, E Uuemaa, DD Moghaddam, ...
Sustainability 11 (20), 5639, 2019
622019
Urban flood hazard modeling using self-organizing map neural network
O Rahmati, H Darabi, AT Haghighi, S Stefanidis, A Kornejady, OA Nalivan, ...
Water 11 (11), 2370, 2019
492019
Novel ensemble approaches of machine learning techniques in modeling the gully erosion susceptibility
A Arabameri, O Asadi Nalivan, S Saha, J Roy, B Pradhan, ...
Remote Sensing 12 (11), 1890, 2020
482020
Identifying sources of dust aerosol using a new framework based on remote sensing and modelling
O Rahmati, F Mohammadi, SS Ghiasi, J Tiefenbacher, DD Moghaddam, ...
Science of The Total Environment 737, 139508, 2020
372020
Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests
YA Arshad Ali, Anvar Sanaei, Mingshi Li, Omid Asadi Nalivan, Khaled ...
Science of the Total Environment 706 (135719), 1-12, 2020
37*2020
Big-trees–Energy mechanism underlies forest diversity and aboveground biomass
A Ali, A Sanaei, M Li, OA Nalivan, MJ Pour, A Valipour, J Karami, ...
Forest Ecology and Management 461, 117968, 2020
202020
K-fold and state-of-the-art metaheuristic machine learning approaches for groundwater potential modelling
A Arabameri, A Arora, SC Pal, S Mitra, A Saha, OA Nalivan, S Panahi, ...
Water Resources Management 35, 1837-1869, 2021
192021
Performance evaluation of GIS-based novel ensemble approaches for land subsidence susceptibility mapping
A Arabameri, S Lee, F Rezaie, S Chandra Pal, O Asadi Nalivan, A Saha, ...
Frontiers in Earth Science 9, 663678, 2021
182021
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran
O Asadi Nalivan, SA Mousavi Tayebi, M Mehrabi, H Ghasemieh, ...
Stochastic Environmental Research and Risk Assessment 37 (5), 1821-1838, 2023
162023
GIS-based site selection for check dams in watersheds: considering geomorphometric and topo-hydrological factors." sustatinability
O Rahmati, Z Kalantari, M Samadi, E Uuemaa, DD Moghaddam, ...
112019
Data on assessment of corrosion-scaling potential and chemical parameters of groundwater quality for industrial and agricultural sectors in the Piranshahr Watershed in the West …
OA Nalivan, E Mollaefar, E Soltani, M Karvarinasab
Data in brief 27, 104627, 2019
102019
TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency
O Rahmati, H Ghasemieh, M Samadi, Z Kalantari, JP Tiefenbacher, ...
Journal of cleaner production 266, 122051, 2020
92020
Environmental filtering, predominance of strong competitor trees and exclusion of moderate-weak competitor trees shape species richness and biomass
A Ali, A Sanaei, OA Nalivan, K Ahmadaali, MJ Pour, A Valipour, J Karami, ...
Science of the total environment 723, 138105, 2020
92020
Comparison of two methods of IUCN and watershed, range and forest management in assessing watershed sustainability (case study: Talleghan-Zeidasht)
O Asadi Nalivan, MM Saravi, GZ Amiri, AAN Samani
Journal of Watershed Management Research 6 (11), 73-89, 2015
82015
Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network
M Mehrabi, OA Nalivan, M Scaioni, M Karvarinasab, A Kornejady, ...
Environmental Earth Sciences 82 (20), 459, 2023
62023
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios
G Liu, A Arabameri, M Santosh, OA Nalivan
Environmental Science and Pollution Research 30 (16), 46979-46996, 2023
62023
Land-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system–genetic algorithm hybrid model
T Wen, W Tiewang, A Arabameri, O Asadi Nalivan, SC Pal, A Saha, ...
Geocarto International 37 (26), 12194-12218, 2022
62022
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