Abstract
Water utilities in arid regions deal with multifaceted issues of natural groundwater contamination, high treatment costs, and low water rates. These utilities rely on intermittent supplies resulting in numerous water quality failures at source, treatment, distribution, and in-house plumbing systems. The present research presents an inclusive risk assessment methodology for managing water quality from source to tap. Three-year monitoring data for turbidity, TDS, pH, iron, ammonia, nitrates, residual chlorine, Coliform group, E. coli, and Fecal Streptococci identified the root causes of failures. The cause-effect relationships in the form of a fault tree were solved using multiple failure modes and effect analysis (FMEA) to handle both the Boolean operations. The fuzzy sets addressed the uncertainties associated with data limitations in calculating exceedance probabilities (Pe) and vagueness in expert opinion for subjective evaluation of severity and detectability. The methodology was applied on a smaller system serving 18,000 consumers in Qassim, Saudi Arabia. Potable supplied water underwent reoccurrence of TDS (Pe = 20%), turbidity (Pe = 10%), and Fe (Pe = 2%) failures in distribution that further increased up to 44%, 33%, and 11% at the consumer end. The Pe for residual chlorine failure soared up to 89%. Economic controls reduced the cumulative risk to 50%, while the shift to continuous supply can limit the remaining failures under the acceptable risk. The framework will help utilities manage water quality in intermittent systems from source to tap in Saudi Arabia, the Gulf, and elsewhere.
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Data Availability
A part of the dataset analyzed during the current study is available in Appendix A and Appendix B of the Supplementary material. Detailed data cannot be shared due to the confidentiality contract between the data sharing and research organizations.
Abbreviations
- DWQS:
-
Drinking Water Quality Standards
- FMEA:
-
Failure Mode and Effect Analysis
- FTA:
-
Fault tree Analysis
- FY:
-
Fiscal Year
- IWS:
-
Intermittent Water Supply
- RCA:
-
Root Cause Analysis
- SAS:
-
Saudi Arabia Standards
- TDS:
-
Total Dissolved Solids
- WHO:
-
World Health Organization
- WQF:
-
Water Quality Failure
- WQP:
-
Water Quality Parameter
- WSP:
-
Water Safety Plan
- WSS:
-
Water Supply System
- WTP:
-
Water Treatment Plant
References
Aladejana JA, Kalin RM, Sentenac P, Hassan I (2020) Assessing the impact of climate change on groundwater quality of the shallow coastal aquifer of Eastern Dahomey Basin, Southwestern Nigeria. Water 12(1):224
Al-Ghuraiz Y, Enshassi A (2006) Customers’ satisfaction with water supply service in the Gaza Strip. Build Environ 41(9):1243–1250
Besner MC, Prévost M, Regli S (2011) Assessing the public health risk of microbial intrusion events in distribution systems: conceptual model, available data, and challenges. Water Res 45:961–979
Carbone TA, Tippett DD (2004) Project risk management using the project risk FMEA. Eng Manag J 16(4):28–35
Chen SH (1985) Ranking fuzzy numbers with maximising set and minimizing set. Fuzzy Set Sys 17(2):113–129
Coelho ST, James S, Sunna N, Abu Jaish A, Chatila J (2003) Controlling water quality in intermittent supply systems. Water Supply 3:119e125
Cristea G, Constantinescu DM (2017) A comparative critical study between FMEA and FTA risk analysis methods. In IOP Conference Series: Materials Science and Engineering 252(1):012046. IOP Publishing
Davison A, Howard G, Stevens M, Callan P, Fewtrell L, Deere D, Bartram J (2005) Managing drinking-water quality from catchment to consumer. Water safety plans. World Health Organization, Geneva
Davison A, Howard G, Stevens M, Callan P, Fewtrell L, Deere D, Bartram J, Water S, World Health Organization (2005) Water Safety Plans: Managing drinking-water quality from catchment to consumer (No. WHO/SDE/WSH/05.06). World Health Organization
Elala D, Labhasetwar P, Tyrrel SF (2011) Deterioration in water quality from supply chain to household and appropriate storage in the context of intermittent water supplies. Water Sci Technol—Water Supply 11:400
Erickson JJ, Smith CD, Goodridge A, Nelson KL (2017) Water quality effects of intermittent water supply in Arraiján, Panama. Water Res 114:338–350
Grönwall J, Danert K (2020) Regarding Groundwater and Drinking Water Access through A Human Rights Lens: Self-Supply as A Norm. Water 12(2):419
Haider H, Al-Salamah IS, Ghazaw YM, Abdel-Maguid RH, Shafiquzzaman M, Ghumman AR (2019) Framework to establish economic level of leakage for intermittent water supplies in arid environments. J Wat Res Plan Manag 145(2):05018018
Haider H, Ghumman AR, Al-Salamah IS, Thabit H (2020) Assessment framework for natural groundwater contamination in arid regions: development of indices and well ranking system using fuzzy VIKOR method. Water 2020(12):423
Haider H, Sadiq R, Tesfamariam S (2016) Risk-based framework for improving customer satisfaction through system reliability in small-sized to medium-sized water utilities. J Manag Eng 32(5):04016008
Haider H, Haydar S, Sajid M, Tesfamariam S, Sadiq R (2015) Framework for optimizing chlorine dose in small-to medium-sized water distribution systems: a case of a residential neighbourhood in Lahore, Pakistan. Water SA 41(5):614–623
Islam N, Sadiq R, Rodriguez MJ, Legay C (2016) Assessment of water quality in distribution networks through the lens of disinfection by-product rules. Water SA 42(2):337–349
Kececioglu D (1991) Reliability engineering handbook, Volume 2. Prentice Hall, Inc, New Jersey
Klingel P (2012) Technical causes and impacts of intermittent water distribution. Water Sci Technol—Water Supply 12:504
Kumpel E, Nelson KL (2016) Intermittent water supply: prevalence, practice, and microbial water quality. Environ Sci Technol 50:542–553
Kumpel E, Nelson KL (2013) Comparing microbial water quality in an intermittent and continuous piped water supply. Water Res 47:5176–5188
Lieb AM (2016) Modeling and optimization of transients in water distribution networks with intermittent supply, Doctoral Dissertation, UC Berkeley, USA
Lee EJ, Schwab KJ (2005) Deficiencies in drinking water distribution systems in developing countries. J. Water Health 3:109–127
Lee M, McBean EA, Ghazali M, Schuster CJ, Huang JJ (2009) Fuzzy-logic modeling of risk assessment for a small drinking-water supply system. J Wat Resou Plan Manag 135(6):547–552
Lindhe A, Rosén L, Norberg T, Røstum J, Pettersson TJ (2013) Uncertainty modelling in multi-criteria analysis of water safety measures. Environ Syst Decis 33(2):195–208
Lindhe A, Rosén L, Norberg T, Bergstedt O (2009) Fault tree analysis for integrated and probabilistic risk analysis of drinking water systems. Water Res 43(6):1641–1653
Minitab (2020) https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/reliability/supporting-topics/basics/what-is-a-failure-mode/ (Accessed 2 Sep 2020)
Nijhawan A, Jain P, Sargaonkar A, Labhasetwar PK (2014) Implementation of water safety plan for a large-piped water supply system. Environ Monit Assess 186(9):5547–5560
Pickard K, Muller P, Bertsche B (2005) January. Multiple failure mode and effects analysis-an approach to risk assessment of multiple failures with FMEA. In: Proceedings of IEEE annual reliability and maintainability symposium. pp 457–462
Population City. http://population.city/saudi-arabia/unayzah/ (Accessed 9 May 2019)
Rice EW, Bridgewater L (2012) Standard methods for the examination of water and wastewater. American Public Health Association. American Water Works Association. Water Environment Federation. Washington, D.C.
Risebro HL, Doria MF, Andersson Y, Medema G, Osborn K, Schlosser O, Hunter PR (2007) Fault tree analysis of the causes of waterborne outbreaks. J Water Health 5(S1):1–18
Roozbahani A, Zahraie B, Tabesh M (2013) Integrated risk assessment of urban water supply systems from source to tap. Stoch Environ Res Risk Assess 27(4):923–944
Ruijters E, Stoelinga M(2015) Fault tree. Analysis: a survey of the state-of-the-art in modeling, analysis and tools Comput Sci Rev 15:29–62
SAS. The Water Treatments. https://www.thewatertreatments.com/water-treatmentnews/water-quality-standards-saso-saudi/ (Accessed 10 July 2019)
Schullehner J, Stayner L, Hansen B (2017) Nitrate, nitrite, and ammonium variability in drinking water distribution systems. Int J Environ Res Pub Health 14(3):276
Shafiee M, Enjema E, Kolios A (2019) An integrated FTA-FMEA model for risk analysis of engineering systems: a case study of subsea blowout preventers. Appl Sci 9(6):1192
Sharif MN, Farahat A, Haider H, Al-Zahrani MA, Rodriguez MJ, Sadiq R (2017) Risk-based framework for optimizing residual chlorine in large water distribution systems. Environ Monit Assess 189(7):307
Spencer C (2012) Water quality in the distribution system: a review. J Am Water Works Assoc 104(7):48–55
Tanaka H, Fan LT, Lai FS, Toguchi K (1983) Fault-tree analysis by fuzzy probability. IEEE Trans Reliab 32(5):453–457
WHO (2011) Guidelines for drinking water quality, Fourth Edition. WHO Press, World Health Organization, Geneva, Switzerland, p 228
Xiao N, Huang HZ, Li Y, He L, Jin T (2011) Multiple failure mode analysis and weighted risk priority number evaluation in FMEA. Eng Fail Anal 18(2011):1162–1170
Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Set Syst 1(1):3–28
Acknowledgements
Authors highly acknowledge the municipalities in Qassim Region of Saudi Arabia for sharing their data, laboratory facilities, and professional experience.
Funding
The authors gratefully acknowledge Qassim University represented by Deanship of Scientific Research on the material support for this research under the number (3861-qec-2018-1-14-S) during the academic year 1440-41 AH/ 2018-19 AD.
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Conceptualization, methodology, analysis, and paper writing was done by HH. Data collection, laboratory analysis, and data analysis were conducted by MA. MS and MT assisted in laboratory analysis and paper proofreading. SA and AG were involved in coordination with municipalities, conceptualization and paper proofreading.
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The study was conducted in accordance with the applicable ethical standards of Saudi Arabia.
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Informed consent was obtained from all individual participants included in the study.
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Haider, H., Alkhowaiter, M.H., Shafiquzzaman, M.D. et al. Source to Tap Risk Assessment for Intermittent Water Supply Systems in Arid Regions: An Integrated FTA—Fuzzy FMEA Methodology. Environmental Management 67, 324–341 (2021). https://doi.org/10.1007/s00267-020-01400-7
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DOI: https://doi.org/10.1007/s00267-020-01400-7