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The Need for Integrating Governance, Operations, and Social Dynamics into Water Supply/Distribution Modelling.

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US water systems face challenges from poor governance and aging infrastructure. This study proposes a new methodology to identify barriers and develop policies for sustainable, reliable, and equitable water services.

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Area of Science:

  • Environmental science and policy
  • Water resource management
  • Systems engineering

Background:

  • US water systems confront escalating issues including inadequate governance, unsound fiscal strategies, an aging workforce, evolving environmental regulations, and environmental justice concerns.
  • Failure to address system viability constraints and barriers hinders the sustainability, reliability, resilience, and equity of water services.

Purpose of the Study:

  • To propose a novel methodology for identifying constraints and barriers in water systems.
  • To inform the development of new policies and best management practices for ensuring water system sustainability, reliability, resilience, and equity.

Main Methods:

  • Integration of agent-based models (ABMs) to simulate individual system components.
  • Incorporation of water distribution models to analyze flow and infrastructure performance.
  • Application of sustainability performance models within a system dynamics framework to assess long-term viability.

Main Results:

  • The proposed methodology provides a comprehensive framework for analyzing complex water system challenges.
  • Identifies critical interdependencies between governance, fiscal policy, workforce, regulations, and system performance.
  • Offers a pathway to translate identified barriers into actionable policies and management strategies.

Conclusions:

  • The integrated modeling approach is essential for understanding and addressing the multifaceted challenges facing US water systems.
  • Proactive identification and mitigation of system constraints are crucial for achieving sustainable, reliable, resilient, and equitable water services.
  • This methodology supports evidence-based decision-making for enhancing the long-term viability of water infrastructure.