Abstract
This paper aims at proposing and demonstrating the application of a novel distress-based condition assessment approach to evaluate the physical condition of inspectable urban water assets based on the classification of anomalies in terms of severity, intensity and extension using three new deterioration indices. These indices are, firstly, calculated at the asset component level and, then, aggregated at the asset level and at the infrastructure level by weighing the component indices with the respective replacement cost or criticality. A condition grading classification associated with the deterioration indices is proposed. The novel distress-based condition assessment approach is applied to 22 drinking water storage tanks and 17 wastewater pumping stations located in Portugal, that have been specifically inspected for this purpose. Results of deterioration indices are compared with those obtained by the value-based condition assessment approach. Results demonstrate that the proposed approach allows a more reliable assessment of the assets’ condition and a more robust establishment of priority rehabilitation or maintenance interventions.
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Infrastructure and condition data were provided by water and sewage utilities anonymously and confidentially.
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References
Abbott GR, McDuling JJ, Parsons S, Schoeman JC (2007) Building condition assessment: a performance evaluation tool towards sustainable asset management. Proceedings of the CIB World Building Congress 2007, Cape Town, CIB, Rotterdam, 649–62
Ahluwalia SS (2008) A framework for efficient condition assessment of the building infrastructure. Ph.D. thesis, University of Waterloo, Waterloo, Canada
Alegre H (2008) Infrastructure asset management of water supply and sewer and treatment of wastewater (in Portuguese). Research program and postgraduate program presented to obtain the title of "Qualified for the Exercise of Scientific Research Coordination Functions", LNEC, Lisbon
Alegre H, Vitorino D, Coelho S (2014) Infrastructure Value Index: A Powerful Modelling Tool for Combined Long-Term Planning of Linear and Vertical Assets. Procedia Eng 89:1428–1436
Amani N, Nasly MA, Samat RA (2012) Infrastructure component assessment using the condition index system: literature review and discussion. J Constr Eng Manag 2(1):27–34. https://doi.org/10.6106/JCEPM.2012.2.1.027
Amaral R, Alegre H, Matos JS (2016) A service-oriented approach to assessing the infrastructure value index. Water Sci Technol 74(2):542–548. https://doi.org/10.2166/wst.2016.250
Amaral R (2017) Strategic investment planning in water services in Portugal (in Portuguese). PhD Thesis. Instituto Superior Técnico, Universidade de Lisboa
ASTM E2136–04 (2013) Standard 639 Guide for Specifying and Evaluating Performance of Single Family Attached and Detached 640 Dwellings – Durability. ASTM International (American Society for Testing and Materials), West Conshohocken, PA, USA
Banjevic D (2009) Remaining useful life in theory and practice. Metrika 69(2–3):337–349. https://doi.org/10.1007/s00184-008-0220-5
Cabral M, Loureiro D, Covas D (2019) Using assets economic valuation to meet rehabilitation priority needs in the water sector. Urban Water J 16(3):205–214. https://doi.org/10.1080/1573062X.2019.1648528
Caccavelli D, Gugerli H (2002) TOBUS – a European diagnosis and decision-making tool for office building upgrading. Energ Buildings 34:113–119
Calejo R (2001) Building management – Technical and economic simulation model (in Portuguese). PhD Thesis, Faculdade de Engenharia da Universidade do Porto, Portugal
Carriço N, Covas C, Almeida MC, Leitão JP, Alegre H (2012) Prioritization of rehabilitation interventions for urban water assets using multiple criteria decision-aid methods. Water Sci Technol 66(5):1007–1014
Carriço N, Covas D, Almeida MC (2021a) Multi-criteria decision analysis in urban water asset management. Urban Water J 18(7):558–569. https://doi.org/10.1080/1573062X.2021.1913613
Carriço N, Covas D, Almeida MC (2021b) Rehabilitation of an Industrial Water Main Using Multicriteria Decision Analysis. Water 13(22). https://doi.org/10.3390/w13223180
Chouinard LE, Andersen GR, Torrey VH (1996) Ranking models used for condition assessment of civil infrastructure systems. J Infrastruct Syst 2(1):23–29. https://doi.org/10.1061/(ASCE)1076-0342(1996)2:1(23)
Covas D, Cabral M, Pinheiro A, Marchionni V, Antunes S, Lopes N, Mamouros L, Brôco N (2018) Construction costs of infrastructures associated with the urban water cycle (in Portuguese). ERSAR, IST, ISBN 978–972–98996–4–5, Lisbon, Portugal
Ennaouri I, Fuamba M (2013) New integrated condition-assessment model for combined storm-sewer systems. J Water Res Plan Man 139(1):53–64. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000217
Faqih F, Zayed T (2021) A comparative review of building component rating system. J Build Eng 33:101588. https://doi.org/10.1016/j.jobe.2020.101588
Flores-Colen I, de Brito J, Freitas VP (2013) Assessment of In-Use Performance Parameters of Rendering Façades. A State-of-the-Art Report on Building Pathology, CIB W86 Report, Publication, 393
IPWEA and NAMS (2006) Condition assessment and asset performance guidelines. Institute of Public Works Engineering of Australia, National Asset Management Steering
Madureira S, Flores-Colen I, de Brito J, Pereira C (2017) Maintenance planning of facades in current buildings. Constr Build Mater 147:790–802. https://doi.org/10.1016/j.conbuildmat.2017.04.195
Marchionni V, Lopes N, Mamouros L, Covas D (2014) Modelling sewer systems costs with multiple linear regression. Water Resour Manag 28:4415–4431. https://doi.org/10.1007/s11269-014-0759-z
Morgado J, Flores-Colen I, de Brito J, Silva A (2017) Maintenance programs for flat roofs in existing buildings. Property Manag 35(3). https://doi.org/10.1108/PM-08-2016-0040
NEN (2006) NEN 2767 Condition Assessment of Building and Installation Components – Part 1: Methodology, NEN, Delft (in Dutch)
Naderi MJ, Pishvaee MS (2017) Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation. Water Resour Manag 31:2689–2711. https://doi.org/10.1007/s11269-017-1655-0
NRAU (2007) Method of assessing the condition of buildings – Application instructions (in Portuguese). Ministry of Public Works, Transport and Communications, National Laboratory for Civil Engineering
Silva A, de Brito J, Gaspar P (2011) Service life prediction model applied to natural stone wall claddings (directly adhered to the substrate). Constr Build Mater 25(9):3674–3684. https://doi.org/10.1016/j.conbuildmat.2011.03.064
Straub A (2009) Dutch standard for condition assessment of buildings. Struct Surv 27(1):23–35. https://doi.org/10.1108/02630800910941665
Tabesh M, Saber H (2012) A prioritization model for rehabilitation of water distribution networks using GIS. Water Resour Manag 26:225–241. https://doi.org/10.1007/s11269-011-9914-y
Urrea-Mallebrera M, Altarejos-García L, García-Bermejo J, Collado-López B (2019) Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain). Water 11(6):1169
Uzarski DR (2002) Condition Assessment Manual for Building Components, for Use with BUILDER Version 2.1
Uzarski DR, Grussing MN, Mehnert BB (2018) Knowledge-based condition assessment reference manual for building component-sections: for use with BUILDER™ and BuilderRED™ (v. 3 series)
Vanier DJ (2006) Towards sustainable municipal infrastructure asset management. National Research Council Canada
Vieira J, Almeida N, Silva J G, Castro C, Lima, B, Trindade M (2020a) Using indicators to deal with uncertainty in the capital renewals planning of an industrial water supply system: testing the infrastructure value index. In: Engineering Assets and Public Infrastructures in the Age of Digitalization, Springer, 226–237
Vieira J, Cabral M, Almeida N, Silva JG, Covas D (2020b) Novel methodology for efficiency-based long-term investment Planning in water infrastructures. Struct Infrastruct Eng 16(12):1654–1668. https://doi.org/10.1080/15732479.2020.1722715
Wang W, Zhang W (2008) An asset residual life prediction model based on expert judgments. Eur J Oper Res 188(2):496–505. https://doi.org/10.1016/j.ejor.2007.03.044
Acknowledgements
The authors would like to thank the Fundação para a Ciência e a Tecnologia (FCT) and to Fundo de Apoio à Inovação for funding this research as well as to the Portuguese water utilities for providing the case studies and the required data.
Funding
This work was supported by the Fundação para a Ciência e a Tecnologia through Ph.D. Research Studentship of Marta Cabral (grant number SFRH/BD/117717/2016) and the WISDom project (grant number DSAIPA/DS/0089/2018) and by Fundo de Apoio à Inovação for funding the Avaler + project.
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Conceptualization, M.C.; Methodology, M.C., D.L., I.F.C., and D.C.; Formal analysis, M.C.; Investigation, M.C.; Data curation, M.C.; Writing – original draft preparation, M.C.; and Writing – review and editing, M.C., D.L., I.F.C. and D.C.; Supervision, D.C.
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Cabral, M., Loureiro, D., Flores-Colen, I. et al. A Distress-Based Condition Assessment Approach of Urban Water Assets Using Novel Deterioration Indices. Water Resour Manage 36, 1075–1092 (2022). https://doi.org/10.1007/s11269-022-03074-8
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DOI: https://doi.org/10.1007/s11269-022-03074-8