HGS RESEARCH HIGHLIGHT – The HypoSalar project: Integrating hyporheic exchange fluxes into Atlantic salmon (Salmo salar) spawning habitat models
In this research highlight ultra-fine resolution HydroGeoSphere models are used to simulate hyporheic exchange fluxes in river reaches used by Atlantic salmon for spawning. The HypoSalar project is contributing to demonstrate that the capabilities of HydroGeoSphere are not exclusively related to the field of hydrogeology, but can be used for both fluvial geomorphology and ecological studies due to HydroGeoSphere's flexibility and superior modeling approach.
"Model Convergence and Optimizing Runtimes with HydroGeoSphere" - Aquanty Webinar
A recording of our August 16th, 2023 webinar focused on building high-quality HydroGeoSphere models that are more likely to converge on a solution, and optimizing those models and numerical criteria to reduce model runtimes.
HGS RESEARCH HIGHLIGHT – An adaptive zone-based refinement method for characterizing a highly complex aquifer system model
This new paper by Aquanty senior scientist Hyoun-Tae Hwang introduces an innovative new method to iteratively refine model meshes based on model sensitivity and uncertainty, as calculated by PEST. The paper presents an initial proof-of-concept for this new method, based on the K-COSEM test site located in Eumseong-gun, South Korea.
HGS RESEARCH HIGHLIGHT - Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources
Online data acquisition, data assimilation and integrated hydrological modelling have become more and more important in hydrological science. In this study, we explore cloud computing for integrating field data acquisition and stochastic, physically-based hydrological modelling in a data assimilation and optimisation framework as a service to water resources management. For this purpose, we developed an ensemble Kalman filter-based data assimilation system for the integrated hydrological model HydroGeoSphere, which is able to run in a cloud computing environment.
HGS Parallelization - Best Practices
Fully-integrated hydrologic simulations, such as those performed with HydroGeoSphere, involve highly nonlinear processes, and thus the computational efficiency of the model becomes a critical issue for those performing hydrologic simulations. HGS was parallelized by Hwang et al., 2014 to over come this challenge.
The post summarizes how to setup a parallel HGS simulation, as well as some general best practices for running a parallel simulation.