Runoff from an extensive green roof during extreme events: Insights from 15 years of observations

While green roofs have gained widespread popularity as a measure to detain and retain runoff in urban areas, their performance during extreme events is not well studied. In this study 15 years of runoff and precipitation observations from a small extensive green roof in Norway are analysed. GEV-distributions were fitted to the annual max values for precipitation and runoff in order to develop intensity-duration-frequency (IDF) and runoff-duration-frequency (RDF) data. Using the IDF and RDF data a total of 31 extreme events were identified (containing precipitation or runoff values with return period greater than 2 years for one or more durations). While nearly all extreme runoff events were caused by extreme precipitation, only 69% of the extreme precipitation events resulted in extreme runoff. The assumption of 1:1 equivalency of return periods did not hold true, and deviations were mainly explained by variations in substrate water content prior to the extreme event. Moreover, in 50% of the events, the runoff duration with the greatest return period was shorter than the precipitation duration with the greatest return period. Hence, the results indicate that the use of design storms to predict runoff from green roofs may be inappropriate. The potential of having IDF and RDF data available was demonstrated by the development of simple empirical equations, which ensure conservations of both return period and duration. To generate reliable green roof RDF data, future research should prioritize evaluating various continuous models with the aim of accurately describing extreme events. Intensity-duration-frequency (IDF) curves and runoff-duration-frequency (RDF) were developed for 15 years of observed precipitation and runoff data from green roofs. The traditional assumption of 1:1 equivalency of return periods did not hold true, and deviations were primarily attributed to fluctuations in substrate water content preceding extreme events. Ensuring the reliability of RDF data requires future research to focus on enhancing green roof models' capacity to accurately describe both initial hydrological conditions and runoff hydrographs during extreme events. image