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Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model

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  • Javad Shafiee Neyestanak

    (University of Tehran)

  • Abbas Roozbahani

    (University of Tehran)

Abstract

Urban treated wastewater can be used as a sustainable water supply alternative; however, it contains chemical and biochemical contaminants and poses risks to the affected area. This study aims to assess the risk of treated wastewater application in four sectors: agriculture, landscape irrigation, groundwater artificial recharge, and industry, considering environmental, social, economic, and technical criteria using the novel Hybrid Bayesian Network. The risk of using 27 Iran’s wastewater treatment plants’ effluent in the four sectors were calculated and the Bayesian Networks results demonstrate that four risk models were well trained and were capable of predicting the risks with acceptable performance. Using the trained risk frameworks, the risk of applying the treated wastewater of Tabriz metropolitan wastewater treatment plant in Iran for various sectors was obtained. The results showed that the risk of using the treated wastewater in agriculture, landscape irrigation, artificial recharge, and industry was 26.9%, 17.7%, 18.7%, and 11.9%, respectively. The developed Hybrid Bayesian Network framework in this study can help water resources managers for risk-based prioritizing the effluent reuse scenarios with high performance.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:waterr:v:35:y:2021:i:14:d:10.1007_s11269-021-02989-y
    DOI: 10.1007/s11269-021-02989-y
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    References listed on IDEAS

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    3. Yacov Y. Haimes, 2009. "On the Complex Definition of Risk: A Systems‐Based Approach," Risk Analysis, John Wiley & Sons, vol. 29(12), pages 1647-1654, December.
    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. Azadeh Ahmadi & Mohammad Karamouz & Ali Moridi, 2010. "Robust Methods for Identifying Optimal Reservoir Operation Strategies Using Deterministic and Stochastic Formulations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2527-2552, September.
    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. Hadis Mohajerani & Majid Kholghi & Abolfazl Mosaedi & Raziyeh Farmani & Amir Sadoddin & Markus Casper, 2017. "Application of Bayesian Decision Networks for Groundwater Resources Management Under the Conditions of High Uncertainty and Data Scarcity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1859-1879, April.
    8. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    9. Kaghazchi, Afsaneh & Hashemy Shahdany, S. Mehdy & Roozbahani, Abbas, 2021. "Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model," Agricultural Water Management, Elsevier, vol. 245(C).
    10. 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.
    11. 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).
    12. Zohreh Sherafatpour & Abbas Roozbahani & Yousef Hasani, 2019. "Agricultural Water Allocation by Integration of Hydro-Economic Modeling with Bayesian Networks and Random Forest Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2277-2299, May.
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    2. Nafiseh Bahrami & Mohammad Reza Nikoo & Ghazi Al-Rawas & Khalifa Al-Jabri & Amir H. Gandomi, 2023. "Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 135-156, January.

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