What question did this study set out to answer?

This study aims to quantify the key variables influencing the hydrological effectiveness of green roofs used for stormwater management.

June 27, 2026SustainabilityOpen Access

Hydrological Performance of Green Roofs: A Combined SWMM and SHapley Additive exPlanations-Based Analysis of Runoff Reduction Mechanisms

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial identifies factors affecting runoff reduction in urban green roofs, suggesting improved stormwater management strategies.

This study aims to quantify the key variables influencing the hydrological effectiveness of green roofs used for stormwater management.
Developed a conceptual model in the Storm Water Management Model (SWMM) for a 232 m2 green roof in Poland.
Conducted 24,576 simulations analyzing variables like soil thickness and rainfall characteristics.
Implemented eXtreme Gradient Boosting (XGBoost) for predictive modeling, interpreting results with SHAP.
Peak runoff reduction ranged from 10.97% to 100%, with a median of 99.91%, demonstrating high attenuation capacity.
Cumulative runoff volume ratio increased from 0.05% immediately after rainfall to 7.91% after 24 hours.
SHAP analysis indicated berm height primarily controls peak runoff reduction, while initial substrate saturation affects cumulative runoff.

Starzec et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Randomized trial identifies factors affecting runoff reduction in urban green roofs, suggesting improved stormwater management strategies.