Codes

The Directional-UH is a rainfall-runoff model that incorporates storm dynamics, where streamflow response can be obtained from a synthetic rectangular storm moving in a linear trajectory at a constant speed. Implementing such a model lets us quickly identify how hydrograph response changes from storm events coming from different directions and speeds. This enables us to uncover the complex interplay between watershed orientation and storm dynamics, providing valuable insights for more effective flood prediction and management.

Download code: https://github.com/gomezvelezlab/Directional-UH 

Reference: Perez G. et al. (2023). 

Funding & Support: Gomez-Velez Lab

A new version (in Python) is under development to include partial rainfall coverage.

The SS-WFIUH model estimates flow in sanitary sewer systems, including the three components: Base Wastewater Flow (BWF), Groundwater Infiltration (GWI), and Rainfall Derived Inflow and Infiltration (RDII). The SS-WFIUH model takes advantage of the sewer network's geometry and topology to compute travel times within the network, providing a more physics-based foundation than previous standard implementations, such as the RTK method (triangular unit hydrographs), for estimating inflow and infiltration. This enhanced modeling capability allows for a more precise understanding of the dynamics within sanitary sewer systems, leading to better-informed decisions for urban water management.

Download code: https://github.com/gomezvelezlab/SanitarySewer-WFIUH

Reference: Perez G. et al. (2023). 

Funding & Support: Gomez-Velez Lab

A new version (in Python) is under development.

The SA-MGS model computes 3D groundwater fluxes by prescribing only a few parameters, such as porosity and conductivity, and using a matrix to represent the top boundary pressure head. It employs a spectral decomposition of the top pressure head, detecting characteristic lengths in the Fourier spectrum to reconstruct pressure heads more accurately. This allows for precise computation of flow paths and residence times. The model is versatile and applicable to both groundwater and hyporheic flow modeling at the sediment-water interface. By offering a parsimonious approach, the SA-MGS model provides first-order approximations of groundwater fluxes efficiently.

Download code: https://zenodo.org/records/5717479

Reference: Perez et al, (2021)

Funding & Support: Gomez-Velez Lab

The FLOODEM model computes flooded areas using the Height Above Nearest Drainage (HAND) model, requiring only the Digital Elevation Model (DEM). The scripts internally compute flow directions, river networks, and flooded areas based solely on the DEM. Additionally, the model provides various methods to address fill correction in flatter areas for better delineation of river networks. Designed for use with high-resolution DEMs (such as those obtained from LiDAR), the scripts also offer advanced options where "gauge" sites can be prescribed within the river network. This allows for the interpolation of water levels within the river network, which in turn enables the computation of resulting flooded areas. This approach enhances the accuracy and reliability of flood modeling, making it a valuable tool for flood risk assessment and management. 

Download code: https://github.com/gjperez/FlooDem 

Reference: Perez, G., (2013). Master Thesis. Propuesta metodológica para la estimación de zonas de inundación con información escasa por medio de descriptores geomorfométricos derivados de modelos digitales de elevación. Universidad Nacional de Colombia - Medellin. 

Funding & Support: Universidad Nacional de Colombia - Medellin