Journal of Hydrodynamics

, Volume 30, Issue 4, pp 758–761 | Cite as

Non-invasive image processing method to map the spatiotemporal evolution of solute concentration in two-dimensional porous media

  • Jia-zhong Qian (钱家忠)
  • Ze-kun Wang (王泽坤)
  • R. M. Garrard
  • Yong Zhang
  • Lei Ma (马雷)Email author


A color visualization-based image processing method is developed in this paper to quantify the concentration evolution of the Brilliant Blue FCF transport through a two-dimensional homogeneous porous medium. A series of images are recorded at known time intervals, then the spatial distribution is estimated using a calibration curve, linking the gray pixel value to the solute concentration. Using a multi-dimensional concentration distribution map extraction technique the longitudinal and transverse concentration distributions could be observed with the physical model. The image-processed concentrations are then compared directly with the measured concentrations sampled at the outlet end. The tracer breakthrough curves sampled at multiple points along the central line of the medium are also compared with the solutions from the standard advection–dispersion equation model. It is shown that the non-invasive image processing method may be used to map the spatiotemporal evolution of a solute’s concentration without disturbing the flow or the transport dynamics, although the measured solute breakthrough curves feature some non-Fickian dynamics that cannot be efficiently captured by the standard transport model.

Key words

Solute transport color tracer porous media image processing method 


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Copyright information

© China Ship Scientific Research Center 2018

Authors and Affiliations

  • Jia-zhong Qian (钱家忠)
    • 1
  • Ze-kun Wang (王泽坤)
    • 2
  • R. M. Garrard
    • 3
  • Yong Zhang
    • 3
    • 4
  • Lei Ma (马雷)
    • 1
    Email author
  1. 1.School of Resources and Environmental EngineeringHefei University of TechnologyHefeiChina
  2. 2.The 3rd Engineering Co.LTD of China Railway 16th Bureau GroupHuzhouChina
  3. 3.Department of Geological SciencesUniversity of AlabamaTuscaloosaUSA
  4. 4.State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringHohai UniversityNanjingChina

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