fluvial-particle, U.S. Geological Survey software release
April 6, 2023
This Python package provides functions to simulate advection and dispersion of numerical particles using a lagrangian particle-tracking algorithm for 2 and 3-dimensionl hydraulic simulation results. Users may customize particle subclasses to provide custom particle classes. For example, the drift of larval fish, by creating classes to add behavior to particles. (McDonald and Nelson, 2021).
Citation Information
| Publication Year | 2023 |
|---|---|
| Title | fluvial-particle, U.S. Geological Survey software release |
| DOI | 10.5066/P9K1U4O0 |
| Authors | Richard R McDonald, Nathan L Foks, Prescott B Alexander |
| Product Type | Software Release |
| Record Source | USGS Asset Identifier Service (AIS) |
| USGS Organization | Water Resources Mission Area - Headquarters |
Related
A Lagrangian particle-tracking approach to modelling larval drift in rivers
The migration of larval fish from spawning to rearing habitat in rivers is not well understood. This paper describes a methodology to predict larval drift using a Lagrangian particle-tracking (LPT) model with passive and active behavioural components loosely coupled to a quasi-three-dimensional hydraulic model. In the absence of measured larval drift, a heuristic approach is presented...
Authors
Richard R. McDonald, Jonathan M. Nelson
Related
A Lagrangian particle-tracking approach to modelling larval drift in rivers
The migration of larval fish from spawning to rearing habitat in rivers is not well understood. This paper describes a methodology to predict larval drift using a Lagrangian particle-tracking (LPT) model with passive and active behavioural components loosely coupled to a quasi-three-dimensional hydraulic model. In the absence of measured larval drift, a heuristic approach is presented...
Authors
Richard R. McDonald, Jonathan M. Nelson