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.

Arabameri, A., Emamgholizadeh, S., Chaplot, B., & Zallaghi, E. (2025). Long-term spatiotemporal assessment of water quality in the Karun River, Southern Iran: a novel Python-based approach for rapid processing. Water Quality Research Journal, 60(1), 196–213. https://doi.org/10.2166/wqrj.2025.057

Arabameri, A., Alavi Moghaddam, M. R., Azadmehr, A. R., & Karamati-Niaragh, E. (2023). Determination of optimal operating conditions for AC-powered electrocoagulation process coupling green additive Tartaric Acid to remove Ni2+: Pyomo and RSM approach. Journal of Environmental Management, 330, Article 117152. https://doi.org/10.1016/j.jenvman.2022.117152

Arabameri, A., Alavi Moghaddam, M. R., Azadmehr, A. R., & Payami Shabestar, M. (2022). Less energy and material consumption in an electrocoagulation system using AC waveform instead of DC for nickel removal: Process optimization through RSM. Chemical Engineering and Processing, 174, Article 108869. https://doi.org/10.1016/j.cep.2022.108869