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A smart predictive framework for system-level stormwater management optimization.

Shadab Shishegar1, Sophie Duchesne1, Geneviève Pelletier2

  • 1Research Centre on Water, Earth, and the Environment, Institut National de La Recherche Scientifique (INRS), 490 Rue de La Couronne, Quebec City, QC, G1K 9A9, Canada.

Journal of Environmental Management
|October 30, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a global real-time control (RTC) system for smarter stormwater management. The approach optimizes flow and water quality, even under climate change impacts, improving peak flow reduction by 54%.

Keywords:
Detention basinGlobal controlPeak flowReal-time controlWater quality

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Control Systems

Background:

  • Stormwater management faces challenges from increasing urbanization and climate change.
  • Existing systems often lack adaptive and globally optimized control strategies.
  • Sustainable and resilient water management requires advanced operational decision-making.

Purpose of the Study:

  • To present a global real-time control (RTC) approach for sustainable and adaptive stormwater management.
  • To enable smart catchment-scale optimal control of distributed detention basins.
  • To evaluate the system's performance in enhancing water quality and quantity management.

Main Methods:

  • A network of interconnected devices generating set-points for remote control centers.
  • Global optimization algorithms calculating real-time operational decision-making targets.
  • Local controllers manipulating detention basin outlets for catchment-scale control.
  • Model simulations on a real-world watershed with four outlets.

Main Results:

  • The autonomous RTC approach enhances stormwater management performance globally (quality and quantity).
  • The system balances network flow dynamics and environmental demands, reducing erosion potential.
  • Under climate change, peak flow reduction improved by up to 54% and water detention time by 14 hours.

Conclusions:

  • The proposed RTC methodology offers an effective strategy for adaptive stormwater management.
  • The system demonstrates resilience and improved performance under climate change scenarios.
  • This approach contributes to sustainable urban water management and protection of receiving water bodies.