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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2021-02-01
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| Series: | Water Science and Technology |
| Subjects: | |
| Online Access: | http://wst.iwaponline.com/content/83/3/631 |
| _version_ | 1823965380474830848 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T17:56:22Z |
| format | Article |
| id | doaj.art-716c90753d6447f9a91e362a9fe7be6a |
| institution | Directory Open Access Journal |
| issn | 0273-1223 1996-9732 |
| language | English |
| last_indexed | 2024-12-17T17:56:22Z |
| publishDate | 2021-02-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Science and Technology |
| spelling | doaj.art-716c90753d6447f9a91e362a9fe7be6a2022-12-21T21:38:34ZengIWA PublishingWater Science and Technology0273-12231996-97322021-02-0183363164010.2166/wst.2020.604604Using deterioration modelling to simulate sewer rehabilitation strategy with low data availabilityN. Caradot0Ph. R. Sampaio1A. S. Guilbert2H. Sonnenberg3V. Parez4V. Dimova5 Kompetenzzentrum Wasser Berlin gGmbH, Cicerostr. 24, 10709 Berlin, Germany Veolia Research & Innovation (VeRI), Chemin de la Digue, BP 76, 78603 Maisons-Laffitte, France Veolia Research & Innovation (VeRI), Chemin de la Digue, BP 76, 78603 Maisons-Laffitte, France Kompetenzzentrum Wasser Berlin gGmbH, Cicerostr. 24, 10709 Berlin, Germany Veolia, Business Support and Performance Department, 30 rue Madeleine Vionnet, 93300 Aubervilliers, France Sofiyska Voda, Mladost 4, Business Park Sofia, Sgrada 2A, 1766 Sofia, Bulgaria 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.http://wst.iwaponline.com/content/83/3/631asset managementcondition assessmentdeterioration modelrehabilitationsewer |
| spellingShingle | 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 Water Science and Technology asset management condition assessment deterioration model rehabilitation sewer |
| title | 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_short | 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 |
| topic | asset management condition assessment deterioration model rehabilitation sewer |
| url | http://wst.iwaponline.com/content/83/3/631 |
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