Oslo Vann og Avløpsetaten (VAV) – the water/wastewater utility in the Norwegian capital city of Oslo – is assessing future strategies for selection of most reliable materials for wastewater networks, taking into account not only material technical performance but also material performance, regarding operational condition of the system. The research project undertaken by SINTEF, NTNU and Oslo VAV adopts several approaches to understand reasons for failures that may impact flow capacity, by analysing historical data for blockages in Oslo. The aim of the study was to understand whether there is a relationship between the performance of the pipeline and a number of specific attributes such as age, material, diameter, to name a few. This paper presents the characteristics of the data set available and discusses the results obtained by performing two different approaches: a traditional statistical analysis by segregating the pipes into cohorts, each of which with the same explanatory variables, and a Evolutionary Polynomial Regression model (EPR), developed by Technical University of Bari and University of Exeter, to identify possible influence of pipe’s attributes on the total amount of predicted blockages in a period of time.

Ugarelli R., Kristiensen M.S., Rostum J., Saegrov S., Di Federico V. (2008). Statistical analysis and definition of blockages-prediction formulae for the wastewater network of Oslo by evolutionary computing. s.l : s.n.

Statistical analysis and definition of blockages-prediction formulae for the wastewater network of Oslo by evolutionary computing

UGARELLI, RITA MARIA;DI FEDERICO, VITTORIO
2008

Abstract

Oslo Vann og Avløpsetaten (VAV) – the water/wastewater utility in the Norwegian capital city of Oslo – is assessing future strategies for selection of most reliable materials for wastewater networks, taking into account not only material technical performance but also material performance, regarding operational condition of the system. The research project undertaken by SINTEF, NTNU and Oslo VAV adopts several approaches to understand reasons for failures that may impact flow capacity, by analysing historical data for blockages in Oslo. The aim of the study was to understand whether there is a relationship between the performance of the pipeline and a number of specific attributes such as age, material, diameter, to name a few. This paper presents the characteristics of the data set available and discusses the results obtained by performing two different approaches: a traditional statistical analysis by segregating the pipes into cohorts, each of which with the same explanatory variables, and a Evolutionary Polynomial Regression model (EPR), developed by Technical University of Bari and University of Exeter, to identify possible influence of pipe’s attributes on the total amount of predicted blockages in a period of time.
2008
Proceedings ICUD 2008 - 11th International Conference on Urban Drainage
1
11
Ugarelli R., Kristiensen M.S., Rostum J., Saegrov S., Di Federico V. (2008). Statistical analysis and definition of blockages-prediction formulae for the wastewater network of Oslo by evolutionary computing. s.l : s.n.
Ugarelli R.; Kristiensen M.S.; Rostum J.; Saegrov S.; Di Federico V.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/71568
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 27
social impact