Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and … B Kalantar, B Pradhan, SA Naghibi, A Motevalli, S Mansor Geomatics, Natural Hazards and Risk 9 (1), 49-69, 2018 | 490 | 2018 |
Spatial modelling of gully erosion in Mazandaran Province, northern Iran M Zabihi, F Mirchooli, A Motevalli, AK Darvishan, HR Pourghasemi, ... Catena 161, 1-13, 2018 | 212 | 2018 |
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 | 103 | 2019 |
A comprehensive evaluation of groundwater vulnerability to saltwater up-coning and sea water intrusion in a coastal aquifer (case study: Ghaemshahr-juybar aquifer) A Motevalli, HR Moradi, S Javadi Journal of Hydrology 557, 753-773, 2018 | 96 | 2018 |
Gully erosion modeling using GIS-based data mining techniques in Northern Iran: a comparison between boosted regression tree and multivariate adaptive regression spline M Zabihi, HR Pourghasemi, A Motevalli, MA Zakeri Natural hazards GIS-based spatial modeling using data mining techniques, 1-26, 2019 | 53 | 2019 |
Flood hazard mapping using synthesis hydraulic and geomorphic properties at watershed scale A Motevalli, M Vafakhah Stochastic Environmental Research and Risk Assessment, 1-12, 2016 | 41 | 2016 |
Application of three metaheuristic techniques in simulation of concrete slump H Moayedi, B Kalantar, LK Foong, D Tien Bui, A Motevalli Applied Sciences 9 (20), 4340, 2019 | 32 | 2019 |
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 | 29 | 2019 |
Human-induced arsenic pollution modeling in surface waters-An integrated approach using machine learning algorithms and environmental factors M Mohammadi, SA Naghibi, A Motevalli, H Hashemi Journal of Environmental Management 305, 114347, 2022 | 13 | 2022 |
How do data-mining models consider arsenic contamination in sediments and variables importance? F Mirchooli, A Motevalli, HR Pourghasemi, M Mohammadi, ... Environmental monitoring and assessment 191, 1-19, 2019 | 12 | 2019 |
Assessment of GIS-based machine learning algorithms for spatial modeling of landslide susceptibility: case study in Iran A Motevalli, HR Pourghasemi, M Zabihi Elsevier, 2018 | 12 | 2018 |
An evaluation of landslide susceptibility mapping using remote sensing data and machine learning algorithms in Iran B Kalantar, N Ueda, HAH Al-Najjar, MBA Gibril, US Lay, A Motevalli ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 10 | 2019 |
Landslide susceptibility mapping at Dodangeh watershed, Iran using LR and ANN models in GIS B Kalantar, N Ueda, HAH Al-Najjar, MO Idrees, A Motevalli, B Pradhan Earth Resources and Environmental Remote Sensing/GIS Applications IX 10790 …, 2018 | 6 | 2018 |
Application of a Physically based Model for Terrain Stability Mapping in North of Iran M Safaei, H Omar, ZB Yousof, A Motevalli Global Journal of Researches in Engineering 13 (2), 2013 | 4 | 2013 |
Evaluation of three environmental flow techniques in Shoor wetland of Golpayegan, Iran J Aazami, A Motevalli, M Savabieasfahani International Journal of Environmental Science and Technology 19 (8), 7885-7898, 2022 | 3 | 2022 |
Investigating the Trends and Fluctations of Precipitation in the Golpayegan Saline Wetland Y Khosravi, J Aazami, M Rajaei, A Motavali Journal of Environmental Science Studies 3 (4), 851-861, 2019 | 2 | 2019 |
Correction to: Evaluation of three environmental flow techniques in Shoor wetland of Golpayegan, Iran J Aazami, A Motevalli, M Savabieasfahani International Journal of Environmental Science and Technology 19 (8), 7899-7899, 2022 | 1 | 2022 |
The Effects of Overexpoliation and Land Use Change on Groundwater Resources Salinization Using Vulnerability Concept in the Ghaemshahr-Juybar Aquifer SJ Alireza Motevalli, Hamid Reza Moradi Watershed Research 32 (3), 2-20, 2019 | 1* | 2019 |
Potential detection of mineral water springs using statistical models (a case study of Vazroud Watershed, Mazandaran) K Solaimani, A Motevalli Iranian journal of Ecohydrology 8 (3), 867-889, 2021 | | 2021 |
Spatio-temporal variability of vulnerability to salinity in Ghaemshahr-Juybar aquifer Alireza Motevalli, Hamidreza Reza Moradi, Saman Javadi The 13th National Conference on Watershed Management Science & Engineering …, 2018 | | 2018 |