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Scientific Reports|November 25, 2020
Mapping wind erosion hazard with regression-based machine learning algorithmsHamid Gholami, Aliakbar Mohammadifar, Dieu Tien Bui, et al.
Environmental Science and Pollution Research International|July 24, 2020
A new integrated data mining model to map spatial variation in the susceptibility of land to act as a source of aeolian dustHamid Gholami, Aliakbar Mohammadifar, Hamid Reza Pourghasemi, et al.
Environmental Science and Pollution Research International|June 17, 2019
Correction to: Monte Carlo fingerprinting of the terrestrial sources of different particle size fractions of coastal sediment deposits using geochemical tracers: some lessons for the user communityHamid Gholami, Ebrahim Jafari Takhti Najad, Adrian L Collins, et al.
The Science of the Total Environment|March 30, 2020
Mapping the spatial sources of atmospheric dust using GLUE and Monte Carlo simulationHamid Gholami, Setareh Rahimi, Aboalhasan Fathabadi, et al.
The Science of the Total Environment|January 27, 2020
Optimizing farmyard manure and cattle slurry applications for intensively managed grasslands based on UK-DNDC model simulationsSyed Hamid Hussain Shah, Yumei Li, Junye Wang, et al.
Environmental Science and Pollution Research International|September 6, 2018
Tracing sediment sources in a mountainous forest catchment under road construction in northern Iran: comparison of Bayesian and frequentist approachesKazem Nosrati, Arman Haddadchi, Adrian L Collins, et al.
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