№1|2024

WATER QUALITY CONTROL

UDC 543.31
DOI 10.35776/VST.2024.01.03

Dzhabbarly B. R.

Development of a method for the online estimation of the permanganate index of water entering water treatment facilities

Summary

The paper dwells upon the development of a method for the online estimation of the quality of water supplied to water treatment facilities. A composite index is proposed co-charactering both the input parameter of the indirect estimation of water quality and the permanganate index. It is shown that the proposed composite index has a minimum from the Raman scattering signal. The magnitude of Raman scattering is calculated upon the composite index reaches a minimum. It is shown that the permanganate index can be represented as a sum of two components, where the first component is determined by fluorescent radiation, and the second one by the previously calculated optimal value of the Raman radiation. An extrapolation method for determining DOM or CDOM with a known value of one of these indices is proposed based on the linear relationship constructed between them.

Key words

, , , ,

For citation: Dzhabbarly B. R. Development of a method for the online estimation of the permanganate index of water entering water treatment facilities. Vodosnabzhenie i Sanitarnaia Tekhnika, 2024, no. 1, pp. 21–24. DOI: 10.35776/VST.2024.01.03. (In Russian).

The further text is accessible on a paid subscription.
For authorisation enter the login/password.
Or subscribe

REFERENCES

  1. Koppanen M., Kesti T., Kokko M., Rintala J., Palmroth M. An online flow-imaging particle counter and conventional water quality sensors detect drinking water contamination in the presence of normal water quality fluctuations. Water Research, 2022, v. 213, pp. 118149.
  2. Sinitsa S., Sochen N., Mendlovic D., Borisover M., Lew B., Sela-Saldinger S., Vladimir Y., Nadia B., Yulia K., Lavi R., et al. Optical sensor system for early warning of inflow organic matter breach in large-scale irrigation systems and water treatment systems. IEEE Sensors Journal, 2022, v. 22, pp. 1680–1691.
  3. Selvi A. G., Vibhithra S., John C. S. A. IoT based water quality monitoring system for smart cities. International Journal of Trend in Research and Development, 2021, v. 5, is. 3, pp. 986–991.
  4. Punit K., Karunesh K. G., Raj K. G., Panchariya P. C. Towards the green analytics: design and development of sustainable drinking water quality monitorings system for Shekhawati region in Rajasthan. MAPAN, 2021, v. 36, рр. 1–15.
  5. Alam A. U., Clyne D., Deen M. J. A low-cost multi-parameter water quality monitoring system. Sensors, 2021, v. 21, pp. 3775.
  6. Tian Z., Chen H., Ding Q., Che X., Bi Z., Wang L. Research on smail-scale detection instrument for drinking water combined laser spectroscopy and conductivity technology. Sensors, 2023, v. 23, рр. 2985. DOI: 10.3390/s23062985.
  7. Xiaohua C., Zhaoshuo T., Fenghao S., Qingcao L., Zongjie B., Hao C., Zihao C. Research on chemical oxygen demand based on laser fluorescence-Raman spectroscopy. Frontiers in Physiology, 2022, 10.1116. DOI: 10.3389/fphy.2022.1055049.
  8. Chen H., Che X. H., Bi Z. J., Tian Z. S. Research on a small-scale drinking water quality detection system based on detection of laser-induced fluorescence. Journal of Physics: Conference Series, 2022. DOI: 10.1088/1742-6596/2226/1/012002.

Журнал ВСТ включен в новый перечень ВАК

Шлафман В. В. Проектирование под заданную ценность, или достижимая эффективность технических решений – что это?

Banner Kofman 1