Amirreza Arabameri
Focus: Hydrological modeling
Amirreza employs the Soil & Water Assessment Tool Plus (SWAT+) to model the New York City (NYC) watershed, aiming to quantify the water quality impacts of enhanced manure management practices. The study has two primary objectives: first, to develop a coupled variable source area hydrology and water quality model; and second, to evaluate the short- and long-term effects of improved nutrient management on nutrient losses at both field and watershed scales.
Long-term spatiotemporal assessment of water quality in the Karun River, Southern Iran: a novel Python-based approach for rapid processing (DOI: https://doi.org/10.2166/wqrj.2025.057)
Determination of optimal operating conditions for AC-powered electrocoagulation process coupling green additive Tartaric Acid to remove Ni2+: Pyomo and RSM approach (DOI: https://doi.org/10.1016/j.jenvman.2022.117152)
Less energy and material consumption in an electrocoagulation system using AC waveform instead of DC for nickel removal: Process optimization through RSM (DOI: https://doi.org/10.1016/j.cep.2022.108869)