A novel comprehensive framework for analyzing and assessing water quality and failure consequences based on Bayesian...

Area of Science:

• Environmental Engineering
• Water Resource Management
• Risk Assessment

Background:

• Assessing potable water and wastewater mixing impacts is challenging due to complex network factors.
• Water quality and network failures pose significant risks to public health and infrastructure.

Purpose of the Study:

• To propose a comprehensive framework for analyzing water quality and failure consequences using Bayesian networks.
• To develop an intervention plan to mitigate the impact of water network failures.

Main Methods:

• A novel framework based on Bayesian networks was developed for water quality assessment.
• The framework was applied to the Mdaourouch city water distribution network.
• An intervention plan was theoretically validated through simulations.

Main Results:

• The study identified a 33.9% water contamination rate in the Mdaourouch network, leading to severe consequences.
• Simulations confirmed the effectiveness of the proposed intervention plan in reducing failure probabilities.
• The Bayesian network model accurately predicted water and sewer network failure probabilities.

Conclusions:

• The proposed Bayesian network framework provides a robust decision support tool for water management.
• The intervention plan effectively minimizes the consequences of water quality and network failures.
• This approach aids decision-makers in enhancing water network resilience and safety.