This body of work represents a series of hydraulic modeling and flood risk analysis studies developed for diverse sites across Panama. While each project responded to a specific context, they all followed a consistent technical logic: transform complex terrain and hydrological data into clear, reliable simulations that support engineering decisions.
Our role focused on model development, data integration, simulation setup, and results interpretation, working from inputs provided by clients, survey teams, or public geospatial databases. In some cases, detailed topographic surveys were available; in others, terrain models were constructed from scratch using GIS datasets and refined through engineering judgment.
The workflow typically began with terrain modeling. Raw survey points, GIS elevation data, or hybrid datasets were processed in AutoCAD Civil 3D to generate accurate TIN surfaces. These surfaces were then exported as georeferenced raster files and prepared for hydraulic analysis in HEC-RAS, ensuring correct projections, scales, and vertical references.
Hydraulic models were developed using both 1D and 2D flow approaches, depending on site conditions and study objectives. River alignments, cross sections, breaklines, drainage structures, and flow paths were carefully defined to reflect real-world behavior. Manning roughness values were assigned based on land use and observed surface conditions, following established hydraulic references.
Simulations were executed for multiple return periods, commonly 10, 50, and 100 years, allowing clients to understand flood extents, water depths, and potential impact zones under different scenarios. Where required, unstable flow conditions and combined inputs such as precipitation and natural springs were also evaluated.
Results were post-processed into clear visual outputs: depth maps, flood extents, profiles, and georeferenced raster layers compatible with GIS platforms. Final deliverables were structured to be easily reviewed by engineers, planners, and authorities, bridging the gap between raw simulation data and real-world decision-making.
Rather than isolated calculations, these studies demonstrate an integrated capability: combining geospatial data, engineering software, and analytical thinking to model water behavior reliably, even in environments with limited or fragmented input data.
