Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability

Most cities face the problem of an aging infrastructure in need of extensive and ongoing repair, renovation or replacement. Since the 1980s, CCTV has been the industry standard for sewer system inspection and the main source of information for structural performance evaluation. Due to low inspection...

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Autores principales:	N. Caradot, Ph. R. Sampaio, A. S. Guilbert, H. Sonnenberg, V. Parez, V. Dimova
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	asset management condition assessment deterioration model rehabilitation sewer Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/716c90753d6447f9a91e362a9fe7be6a
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spelling	oai:doaj.org-article:716c90753d6447f9a91e362a9fe7be6a2021-11-06T10:42:31ZUsing deterioration modelling to simulate sewer rehabilitation strategy with low data availability0273-12231996-973210.2166/wst.2020.604https://doaj.org/article/716c90753d6447f9a91e362a9fe7be6a2021-02-01T00:00:00Zhttp://wst.iwaponline.com/content/83/3/631https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732Most cities face the problem of an aging infrastructure in need of extensive and ongoing repair, renovation or replacement. Since the 1980s, CCTV has been the industry standard for sewer system inspection and the main source of information for structural performance evaluation. Due to low inspection rates and the lack of information about sewer condition, deterioration models have been developed to simulate the condition of non-inspected sewers and assess the influence of several rehabilitation scenarios. This paper presents an innovative modelling tool for long-term sewer rehabilitation planning based on the integration of a deterioration and a rehabilitation model. The tool is demonstrated in full scale using CCTV and sewer data of the city of Sofia, in Bulgaria. Results provide tangible proofs of investment needs for sewer rehabilitation and support the utility in the negotiation of budgets with the municipality. Since age is one key variable for deterioration modelling, a new method is proposed to estimate missing construction years in the utility database with a prediction error of less than 7 years.N. CaradotPh. R. SampaioA. S. GuilbertH. SonnenbergV. ParezV. DimovaIWA Publishingarticleasset managementcondition assessmentdeterioration modelrehabilitationsewerEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 3, Pp 631-640 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	asset management condition assessment deterioration model rehabilitation sewer Environmental technology. Sanitary engineering TD1-1066
spellingShingle	asset management condition assessment deterioration model rehabilitation sewer Environmental technology. Sanitary engineering TD1-1066 N. Caradot Ph. R. Sampaio A. S. Guilbert H. Sonnenberg V. Parez V. Dimova Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
description	Most cities face the problem of an aging infrastructure in need of extensive and ongoing repair, renovation or replacement. Since the 1980s, CCTV has been the industry standard for sewer system inspection and the main source of information for structural performance evaluation. Due to low inspection rates and the lack of information about sewer condition, deterioration models have been developed to simulate the condition of non-inspected sewers and assess the influence of several rehabilitation scenarios. This paper presents an innovative modelling tool for long-term sewer rehabilitation planning based on the integration of a deterioration and a rehabilitation model. The tool is demonstrated in full scale using CCTV and sewer data of the city of Sofia, in Bulgaria. Results provide tangible proofs of investment needs for sewer rehabilitation and support the utility in the negotiation of budgets with the municipality. Since age is one key variable for deterioration modelling, a new method is proposed to estimate missing construction years in the utility database with a prediction error of less than 7 years.
format	article
author	N. Caradot Ph. R. Sampaio A. S. Guilbert H. Sonnenberg V. Parez V. Dimova
author_facet	N. Caradot Ph. R. Sampaio A. S. Guilbert H. Sonnenberg V. Parez V. Dimova
author_sort	N. Caradot
title	Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
title_short	Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
title_full	Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
title_fullStr	Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
title_full_unstemmed	Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
title_sort	using deterioration modelling to simulate sewer rehabilitation strategy with low data availability
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/716c90753d6447f9a91e362a9fe7be6a
work_keys_str_mv	AT ncaradot usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability AT phrsampaio usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability AT asguilbert usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability AT hsonnenberg usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability AT vparez usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability AT vdimova usingdeteriorationmodellingtosimulatesewerrehabilitationstrategywithlowdataavailability
_version_	1718443801366757376

Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability

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