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Related Experiment Video

Updated: Mar 14, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
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A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty.

Jun Zheng1, Christoph Egger1, Judit Lienert1

  • 1Swiss Federal Institute of Aquatic Science and Technology, Eawag, P.O. Box 611, CH-8600, Duebendorf, Switzerland.

Journal of Environmental Management
|September 27, 2016
PubMed
Summary

Sustainable wastewater infrastructure management is crucial. A scenario-based multi-criteria decision analysis (MCDA) framework favors decentralized systems, especially urine source separation, due to high environmental concern among stakeholders.

Keywords:
Multi-criteria decision analysisPreference elicitationScenario planningSensitivity analysisUncertainty

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Area of Science:

  • Environmental Engineering
  • Decision Science
  • Sustainability Management

Background:

  • Urbanization, pollution, aging infrastructure, and climate change necessitate improved wastewater management.
  • Current centralized systems face challenges in meeting sustainability goals.
  • Evaluating diverse infrastructure alternatives requires robust decision-making frameworks.

Purpose of the Study:

  • To develop and demonstrate a scenario-based multi-criteria decision analysis (MCDA) framework for comparing wastewater infrastructure sustainability.
  • To incorporate various uncertainties, including socio-economic factors, outcome predictions, and stakeholder preferences.
  • To identify robust and preferred wastewater infrastructure alternatives.

Main Methods:

  • Scenario-based multi-criteria decision analysis (MCDA).
  • Stochastic Multi-criteria Acceptability Analysis (SMAA) with Monte Carlo simulation.
  • Step-wise local sensitivity analysis for preference elicitation and uncertainty assessment.

Main Results:

  • Decentralized wastewater alternatives, particularly those with urine source separation, ranked highly across scenarios.
  • Environmental criteria were prioritized over economic factors by stakeholders.
  • Sensitivity analysis indicated that simplified preference elicitation can be sufficient.

Conclusions:

  • The proposed MCDA framework effectively compares wastewater infrastructure sustainability under uncertainty.
  • Decentralized systems show promise, driven by environmental concerns.
  • The framework is generalizable to other complex decision-making contexts.