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Many-objective robust decision making for water allocation under climate change.

Dan Yan1, Fulco Ludwig2, He Qing Huang3

  • 1Water Systems and Global Change, Wageningen University & Research, PO Box 47, 6700 AA Wageningen, The Netherlands; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, 11A Datun Road, Chaoyang District, Beijing, 100101, China.

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Summary
This summary is machine-generated.

Adaptive water allocation strategies using robust decision-making can mitigate saltwater intrusion in the Pearl River Delta. Careful consideration of climate change impacts and tool vulnerabilities is crucial for successful water management.

Keywords:
Climate uncertaintiesMulti-objective evolutionary algorithmsPearl River basinRobust decision making

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Climate Change Adaptation

Background:

  • Water allocation faces significant challenges due to climate change uncertainties.
  • The Pearl River basin (PRB) requires sufficient dry-season flow to reduce saltwater intrusion in the delta.

Purpose of the Study:

  • To develop and apply a model framework for identifying adaptive water allocation strategies robust to climate change uncertainties.
  • To evaluate the performance of multi-objective evolutionary algorithms (MOEAs) for water allocation in the PRB.

Main Methods:

  • A model framework combining many-objective robust decision making and biophysical modeling was developed for large rivers.
  • Ten state-of-the-art MOEAs were evaluated, with the Borg multi-objective evolutionary algorithm (Borg MOEA) selected for its superior performance.
  • The selected MOEA was used to generate future water allocation plans (2079-2099).

Main Results:

  • Robust decision-making with selected MOEAs demonstrated effectiveness in limiting saltwater intrusion in the Pearl River Delta.
  • The framework's performance may degrade under severe climate change impacts on water availability.
  • Subjective design choices in the model framework can compromise the robustness of allocation plans.

Conclusions:

  • Selected MOEAs can aid in developing robust water allocation plans to combat saltwater intrusion.
  • Accurate characterization of regional climate change and tool vulnerabilities is essential for effective water resource management.
  • Future research should focus on enhancing model resilience to unpredictable climate change impacts.