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Risk Assessment of Factors Influencing Non-Revenue Water Using Bayesian Networks and Fuzzy Logic

Author

Listed:
  • Massoud Tabesh

    (University of Tehran)

  • Abbas Roozbahani

    (University of Tehran)

  • Bardia Roghani

    (University of Tehran)

  • Niousha Rasi Faghihi

    (University of Tehran)

  • Reza Heydarzadeh

    (University of Tehran)

Abstract

This paper aims to initially, identify effective factors of Non Revenue Water (NRW) and its three major components: apparent losses, real losses and non-revenue authorized consumptions in water distribution networks. In the next step, they should be ranked according to their potential in the reduction of the amount of NRW. Besides, incidence of each NRW components imposes some special economic and social impacts. In the present study, by considering data scarcity and uncertainty of the available data and information, risk assessment of NRW and its components has been done through two stages. The first stage is initiated by designing a questionnaire so as to collect data and information about 41 identified parameters in part of Tehran Water and Wastewater Company as the research pilot. Then, in order to demonstrate the probability relationships between factors influencing NRW components, Bayesian Network (BN) is used. At the end of this stage, the parameters are prioritized in terms of their impact. Through the following stage, consequences of NRW components existence are identified and fuzzified, to consider their uncertainty. After that, based on the risk definition and Fuzzy Inference Systems )FIS( concept, fuzzified probability and consequences are combined and NRW components’ risk is calculated. In this study, the calculated risk of NRW components in the study area are “Moderately High” and equal to 7.05, 6.95 and 6.4 for apparent loss, real loss and non-revenue authorized consumptions, respectively which means that decision makers and managers of this district should take serious actions to reduce the amount of risk.

Suggested Citation

  • Massoud Tabesh & Abbas Roozbahani & Bardia Roghani & Niousha Rasi Faghihi & Reza Heydarzadeh, 2018. "Risk Assessment of Factors Influencing Non-Revenue Water Using Bayesian Networks and Fuzzy Logic," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3647-3670, September.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:11:d:10.1007_s11269-018-2011-8
    DOI: 10.1007/s11269-018-2011-8
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    References listed on IDEAS

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    Cited by:

    1. Lim Jen Nee Jones & Daniel Kong & Boon Thong Tan & Puspavathy Rassiah, 2021. "Non-Revenue Water in Malaysia: Influence of Water Distribution Pipe Types," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    2. Kamrani, Kazem & Roozbahani, Abbas & Hashemy Shahdany, Seied Mehdy, 2020. "Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus," Agricultural Water Management, Elsevier, vol. 239(C).
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    4. Parisa Noorbeh & Abbas Roozbahani & Hamid Kardan Moghaddam, 2020. "Annual and Monthly Dam Inflow Prediction Using Bayesian Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2933-2951, July.
    5. Liu, Jin & Zhai, Changhai & Yu, Peng, 2022. "A Probabilistic Framework to Evaluate Seismic Resilience of Hospital Buildings Using Bayesian Networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Abbas Roozbahani & Ebrahim Ebrahimi & Mohammad Ebrahim Banihabib, 2018. "A Framework for Ground Water Management Based on Bayesian Network and MCDM Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4985-5005, December.
    7. Javad Shafiee Neyestanak & Abbas Roozbahani, 2021. "Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5049-5072, November.
    8. Şişman, Eyüp & Kızılöz, Burak, 2020. "Trend-risk model for predicting non-revenue water: An application in Turkey," Utilities Policy, Elsevier, vol. 67(C).

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