E3S Web Conf.
Volume 135, 2019Innovative Technologies in Environmental Science and Education (ITESE-2019)
|Number of page(s)||7|
|Published online||04 December 2019|
Determination of parameters of mathematical model of quality assessment of surface waste treatment in urbanized territories
Astrakhan State University of Architecture and Civil Engineering, Civil building department, 414056, 18 Tatishcheva str., Astrakhan, Russia
2 Saint-Petersburg state university of architecture and civil engineering, 190005, 4 2-ya Krasnoarmeiskaya St., Saint-Petersburg, Russia
* Corresponding author: email@example.com
The publication presents the results of an analysis of the dynamics of changes in surface water quality in the Lower Volga basin based on the processing of statistical data on monitoring the degree of pollution over a long period. Significant all-season excesses of the maximum permissible norms for the concentration in water of a whole spectrum of background and anthropogenic pollutants were recorded. Deficiencies in the implementation of existing methods have been identified that make it possible to assess the dynamics of changes in the state of the ecosystem of the water basin and select the most significant parameters for constructing a mathematical model for choosing the most effective wastewater treatment technology.The aim of this work is to select and evaluate the input parameters of a mathematical model, the implementation of which will ensure the search for optimal technology and appropriate technical means of surface wastewater treatment. This research is based on a comprehensive assessment of a wide range of hydrochemical indicators of pollution of discharged wastewater in controlled sites using statistical methods for processing observational data. The most significant parameters have been identified that allow the formation of a conceptual model, and the degree of their influence on the selection of optimal means and methods of wastewater treatment has been determined.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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