<abstract xmlns="http://www.w3.org/1999/xhtml"><p>As the urbanisation level increases, due to intensification of car traffic and increased areas of impermeable surfaces, pollution of surface wastewater and a negative impact on water bodies are increasing. Due to the increasing pollution of surface water bodies, the eutrophication process is taking place intensively. One of the technologies of surface wastewater treatment allowing reduction in the amounts of suspended solids (<italic>SS</italic>), heavy metals and other pollutants is surface wastewater filters. Filters with different fillers have been designed for the treatment of principal surface wastewater pollutants: suspended solids, heavy metals (zinc, cadmium, copper, lead), BOD<sub>5</sub>, total carbon and nitrogen. The Kriging method was adapted to test the efficiency of filters filled with construction waste and wood waste-derived biochar using distance matrices. The method developed makes it possible to model the characteristics of filters in relation to different fillers, using experimental results. The mathematical model is suitable for other filtrate characteristics, not only the ratio of fillers, but also the length of the filter life, its durability calculations, which allows optimizing filter cleaning efficiency up to 96.93 %.</p></abstract>

As the urbanisation level increases, due to intensification of car traffic and increased areas of impermeable surfaces, pollution of surface wastewater and a negative impact on water bodies are increasing. Due to the increasing pollution of surface water bodies, the eutrophication process is taking place intensively. One of the technologies of surface wastewater treatment allowing reduction in the amounts of suspended solids (SS), heavy metals and other pollutants is surface wastewater filters. Filters with different fillers have been designed for the treatment of principal surface wastewater pollutants: suspended solids, heavy metals (zinc, cadmium, copper, lead), BOD5, total carbon and nitrogen. The Kriging method was adapted to test the efficiency of filters filled with construction waste and wood waste-derived biochar using distance matrices. The method developed makes it possible to model the characteristics of filters in relation to different fillers, using experimental results. The mathematical model is suitable for other filtrate characteristics, not only the ratio of fillers, but also the length of the filter life, its durability calculations, which allows optimizing filter cleaning efficiency up to 96.93 %.

Investigation of Filtration Capacity of Surface Wastewater Filters by Mathematical Modelling

Vilniaus kolegija/University of Applied Sciences

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

As the urbanisation level increases, due to intensification of car traffic and increased areas of impermeable surfaces, pollution of surface wastewater and a...

Investigation of Filtration Capacity of Surface Wastewater Filters by Mathematical Modelling

Published Online: Jul 17, 2020

Page range: 241 - 255

DOI: https://doi.org/10.2478/eces-2020-0016

Keywords
design of experiments, Kriging method, Gaussian random fields, surface wastewater treatment, response surface, distance matrices

© 2020 Eglė Marčiulaitienė et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Investigation of Filtration Capacity of Surface Wastewater Filters by Mathematical Modelling

Published Online: Jul 17, 2020

Page range: 241 - 255

DOI: https://doi.org/10.2478/eces-2020-0016

Keywordsdesign of experiments, Kriging method, Gaussian random fields, surface wastewater treatment, response surface, distance matrices

© 2020 Eglė Marčiulaitienė et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
design of experiments, Kriging method, Gaussian random fields, surface wastewater treatment, response surface, distance matrices