Input files for the “Fluvial Particle” model used in generating particle tracking simulations of the dye release experiment at Searcys Bend near Columbia, Missouri, May 5, 2021

This dataset contains the input Python files used to generate particle tracking simulations of the Searcys Bend dye release experiment using the “Fluvial Particle” model. There are four input files that each correspond to each of the model runs using different lateral eddy viscosity (LEV) parameter values at multiplies of 0.5, 1, 2, and 4 of the calculated value. Discussion of the chosen model parameters can be found in (insert paper reference). Documentation on running the model can be found at: (https://doi.org/10.5066/P9K1U4O0). One of the input parameters is the path to a file for particle starting locations called “StartLoc”, which is also provided within this data release (https://doi.org/10.5066/P9QOZM1N). Users wishing to run the model will need to ensure the path to the starting location file is set according to the directory structure on their machine. Because the start location file provides the individual locations for 12,500 particles, the model must be run with the same number of particles for the code to successfully execute. The parallelized version of the Lagrangian particle tracking algorithm can be used to run additional particles at multiples of 12,500. The simulations run for this work were run using the parallel version of the code distributed across 120 computation processing units (CPUs) for a total of 1,500,000 simulated particles.

本数据集包含用于借助Fluvial Particle模型开展Searcys Bend染料释放试验粒子追踪模拟的Python输入文件。本数据集共包含4组输入文件，分别对应以计算值的0.5、1、2、4倍为横向涡粘性（Lateral Eddy Viscosity, LEV）参数值的四组模型运行工况。模型参数选取的相关讨论可参见（待插入文献引用）。模型运行操作文档可访问：https://doi.org/10.5066/P9K1U4O0。其中一项输入参数为粒子初始位置文件的路径，该文件命名为"StartLoc"，同样包含于本次数据发布包内（https://doi.org/10.5066/P9QOZM1N）。如需运行该模型，用户需根据本地主机的目录结构配置初始位置文件的路径。由于该初始位置文件为12500个粒子提供了各自的初始位置，因此为确保代码成功执行，模型需采用相同数量的粒子进行模拟。拉格朗日粒子追踪算法的并行版本可支持以12500为倍数的更多粒子数量的模拟任务。本次研究中的模拟采用代码的并行版本，在120个计算处理单元（CPUs）上分布式运行，共计模拟1500000个粒子。