Particle Tracking Computational Strategies and Diverse Examples
“Particle Tracking Computational Strategies and Diverse Examples” by D. James Benton, published by Amazon Digital Services LLC – Kdp on September 11, 2019, is a comprehensive exploration of particle tracking through dynamic fields such as air and water. This 110-page book presents computational methods that not only enhance understanding but also offer insightful visualizations for various applications, including airborne contamination and thermal pollution.
Readers will find detailed discussions on both the Lagrangian and Hamiltonian methods, emphasizing their respective advantages in particle tracking. The text covers essential concepts such as diffusion and dispersion, providing a thorough examination of how these processes are derived and implemented. Additionally, the book addresses flow in fractures within porous media, which is crucial for accurately modeling karst formations. This edition serves as a valuable resource for those interested in applied sciences and computational strategies in particle tracking.
Official synopsis Publisher
Tracking particles through a moving field, such as flowing air, ground, or surface water, is not only a powerful computational method but can also provide insightful visualizations. I have employed this process for a variety of problems from airborne contamination, thermal pollution, and contaminant transport in groundwater. I have even used it to successfully model the mixing of fluorescent dye through the confluence of three pumps in order to distinguish the time of arrival at the destination. While the Lagrangian method (based on time as the independent parameter) is most often used, the Hamiltonian method (based on time as a dependent parameter) can be much faster. Both are developed in this text, which includes many examples. Diffusion (spreading based on material properties) and also dispersion (based on local velocities) are derived, implemented, and illustrated in the text. Flow in factures within porous media, essential to accurately modeling karst formations, is also covered.
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