Using Dynamic Light Scattering for Monitoring the Size of the Suspended Particles in Wastewater

Dan Chicea 1  and Silviu Mihai Rei 2
  • 1 “Lucian Blaga” University of Sibiu, Faculty of Sciences, 550012, Sibiu, Romania
  • 2 “Lucian Blaga” University of Sibiu, Faculty of Sciences, Research Center for the Physics of Complex Systems, , 550012, Sibiu, Romania

Abstract

A coherent light scattering experiment on wastewater samples extracted from several stages of water processing within a wastewater processing plant was carried out. The samples were allowed to sediment while they were the subject of a Dynamic Light Scattering (DLS) measurement. The recorded time series were processed using an Artificial Neural Network based DLS procedure to produce the average diameter of the particles in suspension. The method, using a single physical procedure for monitoring the variation of the average diameter in time, indicates the dominant type of suspensions in water.

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  • 1. Ansari A. A., Gill S. S. and Khan F. A., 2000 ‒ Eutrophication: threat to aquatic ecosystems, in Ansari A., Singh Gill S., Lanza G. and Rast W. (eds), Eutrophication: causes, consequences and control, Springer, Dordrecht, DOI: https://doi.org/10.1007/978-90-481-9625-8_7, ISBN 978-90-481-9624-1.

  • 2. Berne B. J. and Pecora R., 2000 ‒ Dynamic Light Scattering: with applications to chemistry, biology and physics, Dover Publications, 10-23.

  • 3. Briers J. D., 2001 ‒ Laser Doppler, speckle and related techniques for blood perfusion mapping and imaging, Physiological Measurement, 22, 35-66.

  • 4. Chicea D., 2008 ‒ Coherent Light Scattering on nanofluids ‒ Computer Simulation Results Applied Optics, 47, 10, 1434-1442.

  • 5. Chicea D., 2010 ‒ Nanoparticles and nanoparticle aggregates sizing by DLS and AFM, Journal of Optoelectronics and Advanced Materials, 4, 9, 1310-1315.

  • 6. Chicea D., 2013a ‒ Estimating particle concentration in natural water by speckle size measurement, Proceedings of 11th International Conference on Environment, Ecosystems and Development (EED’13), Braşov, Romania, June 1-3, 151-161.

  • 7. Chicea D., 2013b ‒ Estimating particle concentration in natural water by speckle contrast, Transylvanian Review of Systematical and Ecological Research, 15.1, 2, 1-10.

  • 8. Chicea D. and Chicea L. M., 2015 ‒ Profiling suspensions in natural water by a simplified dynamic light scattering procedure and sedimentation, Transylvanian Review of Systematical and Ecological Research, 17.2, 1-10.

  • 9. Chicea D., 2017 ‒ Using neural networks for Dynamic Light Scattering time series processing, Measurement Science and Technology, 28, 5, 055206.

  • 10. Chicea D. and Rei S. M., 2018 ‒ A fast artificial neural network approach for Dynamic Light Scattering time series processing, Measurement Science and Technology, 29, 105201, 15, https://doi.org/10.1088/1361-6501/aad937.

  • 11. Clark N. A., Lunacek J. H. and Benedek G. B., 1970 ‒ A study of brownian motion using light scattering, American Journal of Physics, 38, 575-585.

  • 12. Gjyli L. and Mukli L., 2009 ‒ Assessment of water microbiologic pollution in Durres’s Harbour basin (Albania), Transylvanian Review of Systematical and Ecological Research, 8, The Wetlands Diversity, 169-184.

  • 13. Goodman J. W., 1984 ‒ Statistical properties of laser speckle patterns, in Laser speckle and related phenomena, 9, in Topics in Applied Physics, Dainty J. C., Edit., Springer-Verlag, Berlin, Heidelberg, New York, Tokyo, 9-75.

  • 14. Gumpinger C., Höfler S., Berg K. and Scheder C., 2010 ‒ Water temperature as an applicable parameter with a high indicative value for the general condition of a river-ecosystem, drawing on the example of the river Trattnach in Upper Austria, Transylvanian Review of Systematical and Ecological Research, 10, The Wetlands Diversity, 1-14.

  • 15. Khoshnood Z. and Khoshnood R., 2015 ‒ Effect of industrial wastewater on fish in Karoon River, Transylvanian Review of Systematical and Ecological Research, 17.1, The Wetlands Diversity, 109-120.

  • 16. Khuram I., Muhammad Z., Ahmad N., Ullah R. and Barinova S., 2019 ‒ Green and Charophyte algae in bioindication of water quality of Shah Alam River (District Peshawar, Pakistan), Transylvanian Review of Systematical and Ecological Research, 21.1, The Wetlands Diversity, 1-16.

  • 17. Oprean L. and Olosutean H., 2011 ‒ A new perspective on McKinney’s wastewater model, Transylvanian Review of Systematical and Ecological Research, 12, The Wetlands Diversity, 181-202.

  • 18. Tilley E., Ulrich L., Lüthi C., Reymond P. and Zurbrügg C., 2014 ‒ Compendium of sanitation systems and technologies – (2nd revised edition), Swiss Federal Institute of Aquatic Science and Technology (Eawag), Duebendorf, Switzerland, ISBN 978-3-906484-57-0, 7-14.

  • 19. Tscharnuter W., 2000 ‒ in Encyclopedia of Analytical Chemistry, Meyers R. A. (ed.), John Wiley and Sons Ltd., 5469-5485.

  • 20. Weisstein E. W. 2018 ‒ Wiener-Khinchin theorem, from MathWorld ‒ A Wolfram Web Resource, http://mathworld.wolfram.com/Wiener-KhinchinTheorem.html.

  • 21. Wedyan M. A., Qnais E., Altaif K. and Al-Tawaha R., 2019 ‒ Characteristics of dissolved organic nitrogen in municipal and biological nitrogen removal wastewater treatment plants in Jordan, Transylvanian Review of Systematical and Ecological Research, 21.2, The Wetlands Diversity, 1-12.

  • 22. *, 2002 ‒ Waterwatch Australia National Technical Manual, Module 4, Waterwatch Australia Steering Committee, Environment Australia, ISBN 0-6425-4856-0, 19-21.

  • 23. **, 2006 ‒ National Soil Survey Handbook part 618, Soil properties and qualities, United States Department of Agriculture ‒ Natural Resource Conservation Service, 42-55.

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