Author: hcho

The Memory-Efficient Watershed Delineation (MESHED) OpenMP parallel algorithm is released under GPL v3 as part of the Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS).

This is the objective function surface of an unsteady 2D HEC-RAS model that minimizes the volume error and maximizes the NSE by trying 10,000 different combinations of the curve number and Manning’s n. That best model (still with a 5.75% volume error) is very hard to find on a relatively flat valley. Calibrating the RAS…

I presented “Memory Efficiency in Parallel Computation of Continental-Scale Hydrologic Parameters” and “Open-Source Hydrology Using GRASS GIS” at the 2024 Cooperative Institute for Research to Operations in Hydrology (CIROH) Developers Conference (DevCon) on May 29, 2024.

I’m introducing the Memory-Efficient I/O-Improved Drainage Analysis System (MIDAS). It consists of various modules for hydrologic parameter calculations including flow accumulation, watershed delineation, longest flow path, and flow length. More modules will be added later. Please try its early release of Windows binaries at https://github.com/HuidaeCho/midas.

I just started this GIS algorithm research for fast memory-efficient flow length calculation using OpenMP. Try it yourself: https://github.com/HuidaeCho/midas.

CLAWRIM presented their research at the 2024 New Mexico Transportation and Construction Conference (2024 NM TransCon) April 17-19, 2024. Asad talked about “Enhancing Culvert Capacity Assessment Through Regression Analysis of DEM Data” on April 18, 2024 10am-11:30am and I presented “Hydrologic Modeling and CAMP (Culvert Asset Management Program)” on April 19, 2024 8am-9:30am.