Sun et al. (2026) Synergistic Optimization of Real‐Time Control and Spatial Layout Can Enhance the Global Benefits of Urban Stormwater Storage Systems

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-08-01
• Authors: Lanxin Sun, Jun Xia, Jijun Xu, Zhihong Song, Yuru Lin, Dong Wang, Dunxian She
• DOI: 10.1029/2025wr042460

Research Groups

• Department of Civil Engineering, Shenzhen University
• Institute of Hydrology and Water Resources Engineering, Tongji University

Short Summary

This study presents a synergistic optimization framework for coordinating stormwater storage system designs with their operational intelligence to improve flood control performance under extreme rainfalls. The framework integrates predictive target flow allocation-based global control with the optimization of storage capacity distribution.

Objective

• Investigate the potential benefits of integrating spatial layout and real-time control (RTC) of urban stormwater storage systems for improved flood resilience

Study Configuration

• Spatial Scale: Urban catchment in Shenzhen, China
• Temporal Scale: Design storms and monitored heavy storms

Methodology and Data

• Models used: Predictive target flow allocation-based global control method
• Data sources: Satellite data, observation data, reanalysis data

Main Results

• The synergistic optimization framework reduces flood peaks and runoff volumes under critical heavy storms by 11%∼32%.
• Integrating global RTC with synergistic optimization achieves the highest performance improvement over static control.
• Strategically located, high-capacity control nodes contribute more than 98% of the system-wide benefits.

Contributions

• The study provides a novel framework for optimizing both spatial layout and real-time control of urban stormwater storage systems, demonstrating significant potential for improved flood resilience.
• The findings highlight the importance of considering layout constraints when designing RTC systems to maximize efficiency and effectiveness.

Funding

• This research was supported by the National Natural Science Foundation of China (Grant No. 51809251) and the Shenzhen Science and Technology Innovation Committee (Grant No. JCYJ20190808150716319).

Citation

@article{Sun2026Synergistic,
  author = {Sun, Lanxin and Xia, Jun and Xu, Jijun and Song, Zhihong and Lin, Yuru and Wang, Dong and She, Dunxian},
  title = {Synergistic Optimization of Real‐Time Control and Spatial Layout Can Enhance the Global Benefits of Urban Stormwater Storage Systems},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2025wr042460},
  url = {https://doi.org/10.1029/2025wr042460}
}