| Elemental fingerprints in natural nanomaterials determined using SP-ICP-TOF-MS and clustering analysis M Baalousha, J Wang, M Erfani, E Goharian Science of The Total Environment 792, 148426, 2021 | 34 | 2021 |
| Identification and quantification of anthropogenic nanomaterials in urban rain and runoff using single particle-inductively coupled plasma-time of flight-mass spectrometry J Wang, MDM Nabi, M Erfani, E Goharian, M Baalousha Environmental Science: Nano 9 (2), 714-729, 2022 | 17 | 2022 |
| Multi-method approach for analysis of road dust particles: elemental ratios, SP-ICP-TOF-MS, and TEM F Tou, MM Nabi, J Wang, M Erfani, E Goharian, J Chen, Y Yang, ... Environmental Science: Nano 9 (10), 3859-3872, 2022 | 9 | 2022 |
| Urban runoff drives titanium dioxide engineered particle concentrations in urban watersheds: field measurements MM Nabi, J Wang, M Erfani, E Goharian, M Baalousha Environmental Science: Nano 10 (3), 718-731, 2023 | 3 | 2023 |
| The elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems M Baalousha, J Wang, MM Nabi, M Alam, M Erfani, J Gigault, F Blancho, ... Environmental Science: Nano 11 (1), 373-388, 2024 | 1 | 2024 |
| Unveiling elemental fingerprints: A comparative study of clustering methods for multi-element nanoparticle data M Erfani, M Baalousha, E Goharian Science of The Total Environment 905, 167176, 2023 | 1 | 2023 |
| Developing an Optimized Policy Tree-Based Reservoir Operation Model for High Aswan Dam Reservoir, Nile River E Goharian, M Shaltout, M Erfani, A Eladawy Water 14 (7), 1061, 2022 | 1 | 2022 |
| Enhancing Reservoir Operation Simulations with a Hybrid Machine Learning-Wavelet Model M Erfani, E Goharian AGU23, 2023 | | 2023 |
| A Large Dataset of Fluvial Hydraulic and Geometry Attributes Derived from USGS field measurement records M Erfani, M Erfani, S Cohen, E Goharian AGU23, 2023 | | 2023 |
| Harnessing Surrogate Modeling and Machine Learning for Management of Water Resources and Environmental Systems M Erfani | | 2023 |
| Reservoir Inflow Forecasting Using a Hybrid Timeseries Decomposition-Convolutional Neural Network Model M Erfani, E Goharian AGU Fall Meeting Abstracts 2022, H22P-1048, 2022 | | 2022 |
| Developing Convolutional Neural Networks for Regionalized Rainfall-Runoff Modelling M Erfani, E Goharian, J Imran AGU Fall Meeting Abstracts 2021, H22G-07, 2021 | | 2021 |
| Simulation of Regulated Streamflow using Noah MP Land Surface Model and Machine Learning M Erfani, Q Cao, DP Lettenmaier, E Goharian AGU Fall Meeting Abstracts 2020, H166-0033, 2020 | | 2020 |
Erfan GoharianAssociate Professor, Civil and Environmental Engineering, University of South CarolinaVerified email at cec.sc.edu
