Publication detail

Mathematical modelling of waste flows and treatment based on reconstruction of historical data: Case of wastewater sludge in Czech Republic

PLUSKAL, J. ŠOMPLÁK, R. NĚMCOVÁ, L. VALTA, J. PAVLAS, M.

English title

Mathematical modelling of waste flows and treatment based on reconstruction of historical data: Case of wastewater sludge in Czech Republic

Type

journal article in Web of Science

Language

en

Original abstract

The contribution of supporting tools developed for logistic optimization and processing infrastructure planning is highly dependent on the quality of input data. Databases containing reports on waste production and treatment are often used for waste management case studies and in the aggregated form at the national level provide sufficient information with negligible errors. On the other hand, analysis in greater detail at the smallest administrative unit usually reveals significant inconsistencies, especially in the case of mass balance control. This often results in the impossibility to track waste flows in the system and evaluate final treatment. This paper aims to present a tool for database verification in order to satisfy mass balances at all levels of the investigated system. As part of the mathematical modelling, the database is first subjected to a statistical analysis where selected inconsistencies between records can be removed. Subsequently, data reconciliation is applied with appropriate weights assigned to each entity in the system. The weights represent credibility and reflect various errors, which are identified in the previous stage of the approach. The correction of mass balances enables an evaluation of quality or composition in greater detail of individual entities and also determines the feasible interval of monitored properties. The tool is applied to the treatment evaluation of dry matter in wastewater sludge in the Czech Republic. Thanks to the developed tool, disposal and material or energy recovery can be quantified at micro-regional.

English abstract

The contribution of supporting tools developed for logistic optimization and processing infrastructure planning is highly dependent on the quality of input data. Databases containing reports on waste production and treatment are often used for waste management case studies and in the aggregated form at the national level provide sufficient information with negligible errors. On the other hand, analysis in greater detail at the smallest administrative unit usually reveals significant inconsistencies, especially in the case of mass balance control. This often results in the impossibility to track waste flows in the system and evaluate final treatment. This paper aims to present a tool for database verification in order to satisfy mass balances at all levels of the investigated system. As part of the mathematical modelling, the database is first subjected to a statistical analysis where selected inconsistencies between records can be removed. Subsequently, data reconciliation is applied with appropriate weights assigned to each entity in the system. The weights represent credibility and reflect various errors, which are identified in the previous stage of the approach. The correction of mass balances enables an evaluation of quality or composition in greater detail of individual entities and also determines the feasible interval of monitored properties. The tool is applied to the treatment evaluation of dry matter in wastewater sludge in the Czech Republic. Thanks to the developed tool, disposal and material or energy recovery can be quantified at micro-regional.

Keywords in English

National waste management database; Data verification; Data reconciliation; Network flow problem; Sewage sludge; Dry matter treatment

Released

25.09.2023

Publisher

Elsevier Ltd

Location

UK

ISSN

0959-6526

Volume

420

Number

9

Pages from–to

138393–138393

Pages count

12

BIBTEX


@article{BUT184328,
  author="Jaroslav {Pluskal} and Radovan {Šomplák} and Lucie {Němcová} and Jiří {Valta} and Martin {Pavlas},
  title="Mathematical modelling of waste flows and treatment based on reconstruction of historical data: Case of wastewater sludge in Czech Republic",
  year="2023",
  volume="420",
  number="9",
  month="September",
  pages="138393--138393",
  publisher="Elsevier Ltd",
  address="UK",
  issn="0959-6526"
}