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IAN VAZQUEZ ROWE

IAN VAZQUEZ ROWE

IAN VAZQUEZ ROWE

Doctor en Ingeniería Química y Ambiental, UNIVERSIDAD DE SANTIAGO DE COMPOSTELA

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Maestría Universitaria en Ingeniería Ambiental (UNIVERSIDAD DE SANTIAGO DE COMPOSTELA)

DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Civil

Publicaciones

Se encontraron 198 publicaciones

Martínez, E.; Fernández, A.; Laso, J.; Hoehn, D.; San Román, M.; VAZQUEZ, I.; Aldaco, R.; Margallo, M.(2024). Low energy and carbon hydroponic tomato cultivation in northern Spain: nutritional and environmental assessment. ACS Sustainable Chemistry & Engineering. Volumen: 12. (pp. 860 - 871). Recuperado de: https://pubs.acs.org/doi/abs/10.1021/acssuschemeng.3c05763
SANCHEZ, J.; KAHHAT, R. F.; VAZQUEZ, I.(2024). The effect of El Niño events and climate change in the water scarcity characterization factors based on AWARE. En 14th International Conference on Life Cycle Assessment of Food (LCA Food 2024). (pp. 527 - 529). Universitat de Barcelona. Recuperado de: https://lcafoodconferencearchives.hub.inrae.fr/content/download/3688/35691?version=1
ASTORAYME, M. A.; VAZQUEZ, I.; KAHATT, R.(2024). The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review. Science of The Total Environment. Volumen: 945. (pp. 1 - 19). Recuperado de: https://doi.org/10.1016/j.scitotenv.2024.173843
ASTORAYME, M. A.; VAZQUEZ, I.; KAHHAT, R. F.(2024). The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review. Science of The Total Environment. Volumen: 945. (pp. 1 - 19). Recuperado de: https://www.sciencedirect.com/science/article/pii/S0048969724039901
ASTORAYME, M. A.; VAZQUEZ, I.; KAHHAT, R. F.(2024). The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review. Science of the Total Environment. Volumen: 945. (pp. 173843). Recuperado de: https://www.sciencedirect.com/science/article/pii/S0048969724039901
IZQUIERDO, L. A.; KAHHAT, R. F.; VAZQUEZ, I.(2024). Unveiling the energy consumption-food waste nexus in households: A focus on key predictors of food waste generation. Journal of Material Cycles and Waste Management. Volumen: 26. Recuperado de: https://link.springer.com/article/10.1007/s10163-024-01946-2
Hoehn, D.; VAZQUEZ, I.; KAHHAT, R. F.; Margallo, M.; Aldaco, R.(2023). A critical review on food loss and waste quantification approaches: Is there a need to develop alternatives beyond the currently widespread pathways?. Resources, Conservation and Recycling. Volumen: 188. (pp. 1 - 15). Recuperado de: https://www.sciencedirect.com/science/article/pii/S0921344922005043
LARREA, G. M.; KAHHAT, R. F.; VAZQUEZ, I.; PARODI, E. P.(2023). A machine learning approach to understand how accessibility influences alluvial gold mining expansion in the Peruvian Amazon. Case Studies in Chemical and Environmental Engineering. Volumen: 7. (pp. 1 - 11). Recuperado de: https://www.sciencedirect.com/science/article/pii/S2666016423000580