Abolfazl Moeini

Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)

Mehdi Ahmadi, Abolfazl Moeini, Hassan Ahmadi et al. · Physics and Chemistry of the Earth Parts A/B/C · 2019 · 56 citations

Surface Runoff, Engineering, Water Resources +7

Mapping soil salinity using a combined spectral and topographical indices with artificial neural network

Vahid Habibi, Hassan Ahmadi, Mohammad Jafari et al. · PLoS ONE · 2021 · 38 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +17

A novel study of SWAT and ANN models for runoff simulation with application on dataset of metrological stations

Hamidreza Zakizadeh, Hassan Ahmadi, Gholamreza Zehtabian et al. · Physics and Chemistry of the Earth Parts A/B/C · 2020 · 35 citations

Hydrogeology, Surface Runoff, Engineering +10

Assessing landslide susceptibility using machine learning models: a comparison between ANN, ANFIS, and ANFIS-ICA

Baharak Motamedvaziri, Hassan Ahmadi, Abolfazl Moeini · Environmental Earth Sciences · 2020 · 35 citations

Geotechnical Engineering, Rock Slide, Engineering +10

The relationship between drainage density and soil erosion rate: a study of five watersheds in Ardebil Province, Iran

Abolfazl Moeini, N. K. Zarandi, Ebrahim Pazira et al. · WIT transactions on ecology and the environment · 2015 · 30 citations · Full text