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Abstract

The development of transport infrastructure strengthens the technogenic burden on the environment. Waste, thaw and rain waters from vehicle transport enterprises, such as car-washing installations, petrol stations, and car service stations may pollute ground and surface waters, and adjacent landscapes. The article presents quality parameters and suggests a number of measures permitting to minimize the harmful impact on the environment. The purpose is to improve the reagent treatment technology applicable to surface runoff from vehicle transport enterprises and the reuse of circulating waters by improving well-known methods with original technological procedures and chemical reagents. Research methods include the use of potentiometry, titrometry, and gravimetry. The investigation has shown the possibility to increase the efficiency of runoff treatment and removal of suspended particles and dissolved organic matter by 20–30%. This can be achieved by the application of a permanent magnetic field of 30–40 mT and the subsequent processing by the solution of aluminum chlorohydrate. Optimum parameters have been determined regarding magnetic field and processing conditions. It has been proven that the use of aluminum chlorohydrate in combination with polyhexamethyleneguanidine hydrochloride simplifies substantially the technological cycle. A better treatment can be achieved in comparison with the usual coagulant by 25%. Heavy metal ions are removed from water and the method includes microbiological disinfection and preservation of water in storage reservoirs. The improved technological scheme suggests the reagent treatment of storm and circulating waters for their repeated use.
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Authors and Affiliations

Oleksandr Kvartenko
1
ORCID: ORCID
Andriy Lysytsya
2
ORCID: ORCID
Nataliya Kovalchuk
1
ORCID: ORCID
Ihor Prysiazhniuk
2
ORCID: ORCID
Oksana Pletuk
1
ORCID: ORCID

  1. National University of Water and Environmental Engineering, Educational and Scientific Institute of Construction and Architecture, Rivne 11 Soborna St., 33028, Ukraine
  2. Rivne State University of Humanities, Faculty of Natural Sciences and Psychology, Plastova St, 31, Rivne, 33000, Ukraine
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Abstract

The main purpose of the article is to develop a multifactorial model for rapid assessment of the efficiency of biological wastewater treatment reactors. A mathematical model of the process of biological wastewater treatment has been developed based on: changes in the concentration of organic contaminants in the bioreactor over time, taking into account the uneven flow of wastewater to the treatment plant, the process of substrate entering the bioreactor (different amounts may enter at different times). The software implementation of the proposed algorithm for solving the corresponding model problem in Python is carried out. The results of computer experiments on the study of the efficiency of wastewater treatment in biological treatment reactors for different operating conditions of facilities are presented. In particular, such processes were considered with taking into account the unevenness of the load, because the maximum cleaning loads are in the morning and in the evening. The task was solved to simulate a real situation and show how cleaning takes place at the maximum load at a certain time of the day. The results obtained will be useful for calculations in the design of biological treatment facilities or in the reconstruction of existing bioreactors for their prospective operation under new operating conditions.
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Authors and Affiliations

Andrii Safonyk
1
ORCID: ORCID
Oleg Rogov
1
ORCID: ORCID
Maksym Trokhymchuk
1
ORCID: ORCID
Olena Prysiazhniuk
1
ORCID: ORCID
Ihor Prysiazhniuk
2
ORCID: ORCID

  1. National University of Water and Environmental Engineering, Institute of Energy, Automatics and Water Management, Department of Automation, Electrical Engineering and Computer-integrated Technologies, 11 Soborna St, 33028, Rivne, Ukraine
  2. Rivne State University of Humanities, Faculty of Mathematics and Informatics, 31 Plastova St, 33000, Rivne, Ukraine

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