Alessandro Amaranto
Papers
1
Total Citations
3
H-Index
1
About
Dr. Alessandro Amaranto is a hydrologic engineer whose research focuses on advancing flood estimation and water resource modeling through innovative data integration techniques. His key contributions lie in the development of methods to incorporate qualitative flow observations—such as visual or categorical streamflow data—into lumped hydrologic routing models, a domain where quantitative data is often scarce. In his most cited work, "Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model" (2019), he demonstrated how such non-traditional data can significantly improve flood prediction accuracy, using a three-parameter Muskingum model to propagate streamflow across five distinct river reaches. This research addresses a critical gap in hydrology, offering practical solutions for flood-prone regions with limited monitoring infrastructure. While his citation count is modest, his work is foundational in bridging qualitative and quantitative hydrologic modeling, earning recognition among peers for its methodological rigor and real-world applicability. Dr. Amaranto’s efforts contribute to more resilient flood management systems, making him a notable figure in the intersection of hydrologic routing and data-scarce environments.
Research Focus
Key Achievements
Top Papers
- 1