Journal:Data and information systems management for urban water infrastructure condition assessment

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Full article title Data and information systems management for urban water infrastructure condition assessment
Journal Frontiers in Water
Author(s) Carriço, Nelson; Ferreira, Bruno
Author affiliation(s) Polytechnic Institute of Setúbal
Primary contact Email: nelson dot carrico at estbarreiro dot ips dot pt
Editors Vladeanu, Greta
Year published 2021
Volume and issue 3
Article # 670550
DOI 10.3389/frwa.2021.670550
ISSN 2624-9375
Distribution license Creative Commons Attribution 4.0 International
Website https://www.frontiersin.org/articles/10.3389/frwa.2021.670550/full
Download https://www.frontiersin.org/articles/10.3389/frwa.2021.670550/pdf (PDF)

Abstract

Most of the urban water infrastructure around the world was built several decades ago and nowadays they are deteriorated. As such, the assets that constitute these infrastructures need to be updated or replaced. Since most of the assets are buried, water utilities face the challenge of deciding where, when, and how to update or replace those assets. Condition assessment is a vital component of any planned update and replacement activities and is mostly based on the data collected from the managed networks. This collected data needs to be organized and managed in order to be transformed into useful information. Nonetheless, the large amount of assets and data involved makes data and information management a challenging task for water utilities, especially those with as lower digital maturity level. This paper highlights the importance of data and information systems' management for urban water infrastructure condition assessment based on the authors' experiences.

Keywords: condition assessment, data, information systems, management, urban water infrastructure

Introduction

Urban water infrastructures are constituted by a large variety of physical assets (e.g., tanks, pumps, pipes). These assets deteriorate due to their natural aging and non-controlled processes (e.g., pipe's poor production quality, external actions such as excavation) and, as a result, need to be updated or replaced (i.e., "rehabilitated) to improve the assets' condition to its “as-new” condition if practicable.[1][2] By extension, it is vital to then assess the physical condition and functionality of urban water infrastructures in order to estimate the remaining service life and asset value.[3] Since urban water infrastructure assets are mostly buried, the assessment of their condition must be based on reliable pre-acquired information.

Over the past few decades, water utilities have made significant investments in implementing different information systems to address the increasing complexity of the daily control, operation, management, and planning of their systems.[4] Data is usually collected, stored, managed, and analyzed using various information systems, which are often dispersed across different divisions of a water utility. In particular, the activity of condition assessment is data intensive and uses a plethora of information systems.[5]

This paper highlights the importance of data and information systems management for urban water infrastructure condition assessment based on the authors' experiences obtained from some Portuguese R&D projects. These projects aimed to develop a platform to assist small- and medium-sized water utilities with their low digitalization maturity level to better integrate data from their different existing information systems to assess the condition of their water distribution systems.

Urban water infrastructure condition assessment

"Condition assessment" may be defined as the identification of the likelihood that an asset will continue to perform its required function[6] and is an essential part of any urban water infrastructure asset management (IAM) processes and methodologies.[2][7][8][9][10][11][12][13][14] Further, ISO 55000 defines "asset management" as a coordinated activity carried by an organization to realize value from its assets involving a balancing of costs, risks, opportunities, and performance benefits.[15] As such, we can say that condition assessment may involve risk, performance, and cost methodologies.

The most common risk management frameworks used are in accordance with the reference standards AS/NZS 4360:2004[16] and ISO 31000:2018.[17] The frameworks address topics such as:

  • risk assessment, the processes of risk identification, risk analysis, and risk evaluation[18];
  • performance assessment system, a set of data, calculations, performance metrics, and contextual information that allow the evaluation and reporting of the performance of a single asset, a whole infrastructure, a provided service, or a utility[19][7]; and
  • cost assessment, which evaluates the deterioration of an infrastructure and the quantification of the investment needed for its rehabilitation, as well as the total cost for comparison of different alternatives of rehabilitation actions.

In 2020 research published by Carriço et al.[20], five Portuguese water utilities defined a set of 16 performance indicators (Table 1) aimed towards the assessment and prioritization of water supply systems (WSS) or district metering areas (DMA) for rehabilitation. These performance indicators were regarded as having the utmost importance and were implemented in a platform allowing its calculation after the integration of the required data.[20]


Tab1 Carriço FrontWater2021 3.jpg

Table 1. Set of performance indicators to assess and prioritize water supply systems (WSS) or district metering areas (DMA).


References

  1. Water Research Centre (2001). Sewer Rehabilitation Manual (4th ed.). WRc Publications. ISBN 9781898920410. 
  2. 2.0 2.1 Institute of Public Works Engineering Australia; Association of Local Government Engineers of New Zealand; National Asset Management Steering Group (2015). International Infrastructure Management Manual (5th ed.). IPWEA and NAMS Group. ISBN 9780473106850. 
  3. Feeney, C.S.; Thayer, S.; Bonomo, M. et al. (2009). "White Paper on Condition Assessment of Wastewater Collection Systems". U.S. Environmental Protection Agency. https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=NRMRL&dirEntryId=209530. 
  4. Halfaway, M.R. (2008). "Integration of Municipal Infrastructure Asset Management Processes: Challenges and Solutions". Journal of Computing in Civil Engineering 22 (3). doi:10.1061/(ASCE)0887-3801(2008)22:3(216). 
  5. Haider, A. (2013). Information Systems for Engineering and Infrastructure Asset Management. Springer. doi:10.1007/978-3-8349-4234-0. ISBN 9783834942340. 
  6. American Water Works Association (2019). Condition Assessment of Water Mains - M77. American Water Works Association. ISBN 9781625763310. 
  7. 7.0 7.1 Almedia, M.d.C.; Cardoso, M.A. (2010). Gestão patrimonial de infra-estruturas de águas residuais e pluviais - Uma abordagem centrada na reabilitação. 17. ERSAR. ISBN 9789898360045. http://bibliografia.bnportugal.gov.pt/bnp/bnp.exe/registo?1794239&cl=fr. 
  8. Alegre, H.; Coelho, S.T. (2012). "Chapter 3: Infrastructure Asset Management of Urban Water Systems". In Ostfeld, A.. Water Supply System Analysis - Selected Topics. IntechOpen. doi:10.5772/52377. ISBN 9789535162759. 
  9. Beuken, R.; Eijkman, J.; Savic, D. et al. (2020). "Twenty years of asset management research for Dutch drinking water utilities". Water Supply 20 (8): 2941–2950. doi:10.2166/ws.2020.179. 
  10. "PAS55:2008-1:2008. Specification for the optimized management of physical assets". British Standards Institution. September 2008. https://shop.bsigroup.com/en/ProductDetail/?pid=000000000030171836. 
  11. The Institute of Asset Management (December 2015). "Assett Management - An Anatomy". The Institute of Asset Management. https://theiam.org/knowledge/asset-management-an-anatomy/. 
  12. Matthews, J.C.; Selvakumar, A.; Sterling, R. et al. (2012). "Analysis of Wastewater and Water System Renewal Decision-Making Tools and Approaches". Journal of Pipeline Systems Engineering and Practice 3 (4). doi:10.1061/(ASCE)PS.1949-1204.0000114. 
  13. Osman, H. (2012). "Agent-based simulation of urban infrastructure asset management activities". Automation in Construction 28: 45–57. doi:10.1016/j.autcon.2012.06.004. 
  14. Ugarelli, R.; Venkatesh, G.; Brattebø, H. et al. (2010). "Asset Management for Urban Wastewater Pipeline Networks". Journal of Infrastructure Systems 16 (2). doi:10.1061/(ASCE)IS.1943-555X.0000011. 
  15. "ISO 55000:2014 Asset management — Overview, principles and terminology". International Organization of Standardization. January 2014. https://www.iso.org/standard/55088.html. 
  16. "AS/NZS 4360-2004". Standards Australia. 2004. https://www.standards.org.au/standards-catalogue/sa-snz/publicsafety/ob-007/as-slash-nzs--4360-2004. 
  17. "ISO 31000:2018 Risk management — Guidelines". International Organization of Standardization. February 2018. https://www.iso.org/standard/65694.html. 
  18. "ISO GUIDE 73:2009 Risk management — Vocabulary". International Organization of Standardization. November 2009. https://www.iso.org/standard/44651.html. 
  19. Alegre, H.; Covas, D. (2010). Gestão patrimonial de infra-estruturas de abastecimento de água - Uma abordagem centrada na reabilitação. 16. ERSAR. ISBN 9789898360045. https://www.pseau.org/outils/biblio/resume.php?d=4698. 
  20. 20.0 20.1 Carriço, N.; Ferreira, B.; Barreira, R. et al. (2020). "Data integration for infrastructure asset management in small to medium-sized water utilities". Water Science and Technology 82 (12). doi:10.2166/wst.2020.377. PMID 33341766. 

Notes

This presentation is faithful to the original, with only a few minor changes to presentation, though grammar and word usage was substantially updated for improved readability. In some cases important information was missing from the references, and that information was added. The original article lists references alphabetically, but this version—by design—lists them in order of appearance.