Omid Asadi Nalivan

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Alireza ArabameriDepartment of Geomorphology, Tarbiat Modares UniversityVerified email at modares.ac.ir
Omid RahmatiAssistant Professor at AREEO - 2021& 2022 Clarivate Highly Cited ResearcherVerified email at areeo.ac.ir
Davoud Davoudi MoghaddamResearcherVerified email at modares.ac.ir
John P. TiefenbacherProfessor of Geography, Texas State UniversityVerified email at txstate.edu
Asish SahaPhD Research Scholar (UGC-SRF), Department of Geography, The University of BurdwanVerified email at scholar.buruniv.ac.in
Anvar SanaeiPost Doctoral Researcher, Universität LeipzigVerified email at uni-leipzig.de
Hamid DarabiUniversity of HelsinkiVerified email at helsinki.fi
Ali Torabi HaghighiAssociate Professor, University of OuluVerified email at oulu.fi
Saro LeeKorea Institute of Geoscience and Mineral ResourcesVerified email at kigam.re.kr
Mahmood SamadiM.S. (Watershed Management), University of Tehran, Iran.Verified email at ut.ac.ir
Arshad AliProfessor at Hebei UniversityVerified email at hbu.edu.cn
Ahmad ValipourForestry, Faculty of Natural Resources,University of Kurdistan, Sanandaj, IranVerified email at uok.ac.ir
Seyed Hasan KaboliFaculty of Desert Studies, Semnan University, Semnan, IranVerified email at semnan.ac.ir
Yousef AskariResearch Division of Natural Resources, Kohgiluyeh and Boyerahmad Agriculture and NaturalVerified email at areeo.ac.ir
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, AustraliaVerified email at uts.edu.au
Seyed Saeid GhiasiPhD Candidate, Tarbiat Modares UniversityVerified email at modares.ac.ir
Zahra KalantariAssociate Professor, KTH Royal Institute of Technology and Stockholm UniversityVerified email at natgeo.su.se
Khaled AhmadaaliDepartment of Arid and Mountainous Regions ReclamationVerified email at ut.ac.ir
Mahdi Panahi, Ph.D.Civil and Environmental Engineering at Yonsei UniversityVerified email at yonsei.ac.kr
Ali HaghizadehAssociate professor in water Resources , Lorestan University,IRANVerified email at lu.ac.ir

Omid Asadi Nalivan

Gorgan University of Agricultural Sciences & Natural Resources

Verified email at ut.ac.ir

Groundwater Resources Watershed Health GIS Integrated Water Resources Management Machine Learning


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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	101	2020
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	68	2021
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	63	2020
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	62	2019
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	49	2019
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	48	2020
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	37	2020
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	20	2020
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	19	2021
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	18	2021
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	16	2023
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, ...	11	2019
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	10	2019
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	9	2020
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	9	2020
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	8	2015
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	6	2023
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	6	2023
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	6	2022

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