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

Neyestanak, Javad Shafiee; Roozbahani, Abbas

doi:10.1007/s11269-021-02989-y

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…The method was applied for risk analysis of Iran's 27 wastewater treatment plants in four sectors: agriculture, landscape irrigation, groundwater artificial recharge and industry. The results demonstrated the capability of the method to predict the risks, and the risk of using treated wastewater in agriculture (26.9%) was the highest compared to other sectors [21].…”

Section: Introductionmentioning

confidence: 93%

Dynamic Failure Risk Assessment of Wastewater Treatment and Reclamation Plant: An Industrial Case Study

Analouei

Taheriyoun

Amin

2022

Safety

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Due to the growing scarcity of water resources, wastewater reuse has become one of the most effective solutions for industrial consumption. However, various factors can detrimentally affect the performance of a wastewater treatment plant (WWTP), which is considered a risk of not fulfilling the effluent requirements. Thus, to ensure the quality of treated wastewater, it is essential to analyze system failure causes and their potential outcomes and mitigation measures through a systematic dynamic risk assessment approach. This work shows how a dynamic Bayesian network (DBN) can be effectively used in this context. Like the conventional Bayesian network (BN), the DBN can capture complex interactions between failure contributory factors. Additionally, it can forecast the upcoming failure likelihood using a prediction inference. This proposed methodology was applied to a WWTP of the Moorchekhort Industrial Complex (MIC), located in the center of Iran. A total of 15 years’ time frame (2016–2030) has been considered in this work. The first six years’ data have been used to develop the DBN model and to identify the crucial risk factors that are further used to reduce the risk in the remaining nine years. The risk increased from 21% to 42% in 2016–2021. Applying the proposed risk mitigation measures can decrease the failure risk from 33% to 9% in 2022–2030. The proposed model showed the capability of the DBN in risk management of a WWTP system which can help WWTPs’ managers and operators achieve better performance for higher reclaimed water quality.

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Section: Introductionmentioning

confidence: 93%

Dynamic Failure Risk Assessment of Wastewater Treatment and Reclamation Plant: An Industrial Case Study

Analouei

Taheriyoun

Amin

2022

Safety

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“…The treated wastewater (TWW) can be used in various sectors, including agriculture, landscape irrigation, artificial recharge, and industries [ 19 , 20 ]. For instance, the use of TWW is one of the most effective ways to address water shortages and nutrient requirements in agricultural systems [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Integrated environmental management and GPS-X modelling for current and future sustainable wastewater treatment: A case study from the Middle East

Odeibat,

Mohammad,

Abu-Zreig

2024

Heliyon

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Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach

Bahrami

Nikoo

Al-Rawas

et al. 2022

Water Resour Manage

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

Cited by 6 publications

References 31 publications

Dynamic Failure Risk Assessment of Wastewater Treatment and Reclamation Plant: An Industrial Case Study

Dynamic Failure Risk Assessment of Wastewater Treatment and Reclamation Plant: An Industrial Case Study

Integrated environmental management and GPS-X modelling for current and future sustainable wastewater treatment: A case study from the Middle East

Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach

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