Improving the performance of separate stormwater systems in the urban environment: a hydrograph-based control framework for improving stormwater outflow quality

Digitalisation and real-time control (RTC) can improve hydraulic and water-quality performance of separate stormwater systems, but adoption remains limited by the complexity and operational burden of existing approaches. This study presents a proof-of-concept hydrograph-state-based RTC framework, which uses the Storm Water Management Model (SWMM) to define water-level thresholds, estimate storage capacity and generate synthetic time series for evaluating three RTC strategies – water-level-informed, water-quality-informed and combined – against a no-control baseline. Simulations using design storms showed that all strategies reduced total suspended solids (TSS) load and event mean concentration (EMC), but with varying trade-offs between water-quality improvement and hydraulic performance. Combined control achieved the best balance, reducing TSS load by 50–78% for small and medium rainfall events and delaying first flush by up to 27 h. Under extreme events, water-quality benefits diminished as storage became limited. Practical deployment requires site-specific calibration of water-level thresholds and turbidity–TSS relationships.

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Publication Details

Journal
Urban Water Journal
Published
2026-07-16
DOI
https://doi.org/10.1080/1573062x.2026.2695190
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Improving the performance of separate stormwater systems in the urban environment: a hydrograph-based control framework for improving stormwater outflow quality

Kristjan Suits, Nils Kändler, Anatoli Vassiljev, Katrin Kaur et al.
Urban Water Journal
Urban Stormwater Management Solutions
article

Improving the performance of separate stormwater systems in the urban environment: a hydrograph-based control framework for improving stormwater outflow quality

Kristjan Suits, Nils Kändler, Anatoli Vassiljev, Katrin Kaur, Ivar Annus
article en

Abstract

Digitalisation and real-time control (RTC) can improve hydraulic and water-quality performance of separate stormwater systems, but adoption remains limited by the complexity and operational burden of existing approaches. This study presents a proof-of-concept hydrograph-state-based RTC framework, which uses the Storm Water Management Model (SWMM) to define water-level thresholds, estimate storage capacity and generate synthetic time series for evaluating three RTC strategies – water-level-informed, water-quality-informed and combined – against a no-control baseline. Simulations using design storms showed that all strategies reduced total suspended solids (TSS) load and event mean concentration (EMC), but with varying trade-offs between water-quality improvement and hydraulic performance. Combined control achieved the best balance, reducing TSS load by 50–78% for small and medium rainfall events and delaying first flush by up to 27 h. Under extreme events, water-quality benefits diminished as storage became limited. Practical deployment requires site-specific calibration of water-level thresholds and turbidity–TSS relationships.

Urban Water Journal
Tallinn University of Technology (EE)
Eesti Teadusagentuur
Sustainable cities and communities
Openalex Percentile: Top 14%
Urban Stormwater Management Solutions
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