DOI 10.35776/MNP.2020.02.03
UDC 504.4.054:528.88

Agaev F. G., Dzhafarova B. L., Alieva A. D.

Development of a new method of estimating the quality
of contaminated water

Summary

The article dwells upon the development of a new method of estimating the quality of contaminated water in water sources. At present, the water quality index is most widely used which is a calculated parameter indicating the cumulative effect of all factors characterizing the water quality. A brief review of the indicators for estimating the pollution of water bodies is given. A well-known fact about the presence of some statistical relationship between the value WQIj of a water body and the type of the reflectance profile is selected as the fundamental proposition of the conducted studies. On the basis of two known indicators of the water body pollution: WQIj water quality index recommended by the World Health Organization, and multifaceted regression estimate, a new indicator is developed in the form of a scalar polynomial, numerically equal to WQIj value for the studied sampling point. The possibility of using the database information on the pollution of the studied water body is shown to calculate the proposed estimation of its pollution.

Key words

water sample , water body , regression estimated , pollution factors , reflection

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REFERENCES

1. Giardino C., Oggioni A., Bresciani M., Yan H. Remote sensing of suspended particulate matter in himalayan lakes. Mountain Research. Development 30 (May 2010). 2017, pp. 157–168.
2. Jena V., Dixit S., Gupta S. Assessment of water quality index of industrial area surface water samples. International Journal of Chemical Technology, 2013, no. 1 (5), pp. 278–283.
3. Howladar M. F., Numanbakth M. A. A., Faruque M. O. An application of water quality index (WQI) and multivariate statistic to evaluate the water quality around Maddhapara granite mining industrial area, Dinajpur, Bangladesh. Environmental Systems Research, 2018, v. 13, no. (6). https://doi.org/10.1186/s40068-017-0090-9.
4. Brown M. R., McClelland N. I., Deininger R. A., Tozer R. G. A water quality index – do we dare. Water Sewage Works, 1970, v. 117, pp. 339–343.
5. Debels P., Figueroa R., Urrutia R., Barra R., Niell X. Evalution of water quality I the Chillan river (Central Chile) using physicochemical parameters and a modified water quality index. Environmental Monitoring and Assessment, 2015, v. 110, pp. 301–322.
6. Saeedi M., Abessi O., Sharifi F., Maraji H. Development of groundwater quality index. Environmental Monitoring and Assessment, 2009, v. 163 (1–4), pp. 327–335.
7. Lai Y. C., Chien C. C., Yang Z. H., Surampalli R. Y., Kao C. M. Developing an integrated modeling tool for rives water quality index assessment. Water Environment Research A Research Publication of Water Environment Federation, 2017, v. 89 (3).
8. WHO. Guidelines for drinking – water quality. Word Health Organization. Geneva, Switzerland, 2008.
9. Xiaoping Wang, Fei Zhang, Jianli Ding. Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China. Scientific reports. 7:12858. DOI: 10.1038/s41598-017-12853-y.
10. Xing-Ping Wen, Xiao-Feng Yang. Monitoring of water quality using remote sensing data mining. www.itechopen.com (accessed 30.06.2019).