Study of Pollutant Transport in Environmental Flows Using Depth-Averaged Random Walk Method

9 pages•Published: September 20, 2018

Abstract

A depth-averaged random walk scheme is applied to investigate the process of solute transport, including advection, diffusions and reaction. Firstly, the model is used to solve an instantaneous release problem in a uniform flow, for which analytical solutions exist. Its performance is examined by comparing numerical predictions with analytical solutions. The advantage of the random walk model includes high accuracy and small numerical diffusion. Extensive parametric studies are carried out to investigate the sensitivity of the predictions to the number of particles. The result reveals that the particle number influences the accuracy of the model significantly. Finally, the model is applied to track a pollutant cloud in the Thames Estuary, where the domain geometry and bed elevation are complex. The present model is free of fictitious oscillations close to sharp concentration gradients and displays encouraging efficiency and accuracy in solving the solute transport problems in a natural aquatic environment.

Keyphrases: advection diffusion equation, depth averaged flows, pollutant transport, random walk method

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2342-2350.

Links:	https://easychair.org/publications/paper/G3CZ
	https://doi.org/10.29007/gd96

BibTeX entry

@inproceedings{HIC2018:Study_Pollutant_Transport_Environmental,
  author    = {Xuefei Wu and Fan Yang and Dongfang Liang},
  title     = {Study of Pollutant Transport in Environmental Flows Using Depth-Averaged Random Walk Method},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/G3CZ},
  doi       = {10.29007/gd96},
  pages     = {2342-2350},
  year      = {2018}}

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