Open AccessWastewater sediment treatment facilities in a large region as a multi-component system
Author(s) -
К.Л. Чертес,
О.В. Тупицына,
V.N. Pystin,
Н. И. Шестаков,
Artem P. Seyanko,
Д.Е. Быков
Publication year - 2022
Publication title -
vestnik mgsu
Language(s) - English
Resource type - Journals
eISSN - 2304-6600
pISSN - 1997-0935
DOI - 10.22227/1997-0935.2022.2.205-221
Subject(s) - environmental science , sewage treatment , principal component analysis , principal (computer security) , reuse , wastewater , process (computing) , resource (disambiguation) , pollution , environmental engineering , civil engineering , waste management , computer science , engineering , computer network , artificial intelligence , operating system , ecology , biology
Introduction. The development of a sludge management technology requires the understanding of treatment facilities as complex multi-parameter systems having explicit correlations between the composition of wastewater and concentrated pollution. In this regard, the article discusses the establishment of environmentally friendly systems for the disposal of sewage sludge, taking into account the process features of treatment facilities.
Materials and methods. The authors study the largest treatment facilities located in the Samara region, as well as various new and previously accumulated batches of sewage sludge in the area of their influence. The method of principal components is applied to solve the pre-set tasks.
Results. Parametric criteria, used to evaluate the treatment facilities and the sludge they accumulate, are addressed in the article. The project also encompasses the calculation of environmental and resource parameters. Data centering and scaling were applied to the information obtained in the course of the project implementation, and the obtained data were further analyzed using the method of principal components. The results obtained with the help of the model, constructed using the method of principal components, are displayed in the graphs of accounts and loads, characterizing the relationship between the fields and parameters used to evaluate them.
Conclusions. Following the analysis of 20 pre-selected sites of treatment facilities, 6 facilities were considered as rational, since they are characterized by the well-developed engineering infrastructure. The conditionally rational area includes 8 facilities. Sediment processing and disposal plants are to be established there upon completion of preliminary environmental surveys. The remaining 6 facilities are considered irrational, since their resource capacity is insufficient for efficient production processes. A systematic approach allows (1) arranging sewage sludge treatment facilities at wastewater treatment plants located in the rational and conditionally rational areas of development and (2) drafting process flow diagrams to ensure a higher involvement of sludge in reclamation processes.