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Improved integrated water resource modelling by combining DPSIR and system dynamics conceptual modelling techniques.

Fateme Zare1, Sondoss Elsawah2, Ali Bagheri3

  • 1Fenner School of Environment and Society, Australian National University, Postal Address: Room C112, Robertson Building (46), Fenner School of Environment and Society, Australian National University, Canberra, ACT, 2601, Australia; Department of Water Resources Engineering, Tarbiat Modares University, Tehran, Iran, Postal Address: Box 14115-336, Tehran, Iran.

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Summary

This study presents a methodology combining conceptual models to improve system dynamics (SD) model development for complex water management issues. Integrating multiple techniques enhances problem scoping and boundary setting for more robust SD models.

Keywords:
DPSIRGorganroud-gharesu basinIntegrated water resources assessmentSystem dynamics

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Area of Science:

  • Environmental modeling
  • Systems analysis
  • Water resource management

Background:

  • System dynamics (SD) modeling requires careful problem scoping, which is challenging for complex issues like water management.
  • Existing methods often lack sufficient support for identifying and assembling data crucial for problem definition and boundary setting in SD modeling.
  • There is a need for integrated approaches to enhance the initial stages of SD model development.

Purpose of the Study:

  • To present a novel methodology for combining multiple conceptual modeling techniques to support the development of quantitative system dynamics (SD) models.
  • To address the gap in tools and methods for effective problem scoping and boundary setting in SD modeling, particularly for wicked problems.
  • To illustrate the practical application and benefits of the proposed methodology using a case study.

Main Methods:

  • The methodology integrates a series of conceptual modeling techniques, extending the Driver-Pressure-State-Impact-Response (DPSIR) framework.
  • Causal loop diagrams, system archetypes, and stock and flow diagrams are combined to inform the development of a quantitative SD model.
  • A case study in the Gorganroud-Gharesu Basin, Iran, is utilized to demonstrate the application of the integrated conceptual modeling approach.

Main Results:

  • Combining multiple conceptual models provides complementary insights into problem boundaries and model structure.
  • The integrated approach facilitates a more comprehensive understanding of the system under study, aiding in the development of a robust SD model.
  • The case study demonstrates the practical utility of the methodology in addressing complex water management challenges.

Conclusions:

  • The proposed methodology effectively enhances problem scoping and boundary setting for system dynamics (SD) model development.
  • Integrating diverse conceptual modeling techniques offers synergistic benefits, leading to more informed and structurally sound SD models.
  • This approach is particularly valuable for tackling complex, wicked problems in water resource management and beyond.