Experimental analysis of green roof substrate detention characteristics

Yio, M.H.N.; Stovin, Virginia; Werdin, Joerg; Vesuviano, Gianni

doi:10.2166/wst.2013.381

Cited by 62 publications

(47 citation statements)

References 10 publications

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“…1 for event 7. Overall values of k ranged from 0.003 to 0.065; such results are similar in magnitude to other published outcomes [1,4]. The mean values of k for each year of study showed a year-on-year increase.…”

Section: Resultssupporting

confidence: 85%

“…Rainfall simulations conducted at two different rainfall intensities found that k decreased with increased intensity [4], however no significant correlation was seen in the 25 event dataset This indicates that the changes in k over time are not due to differing distributions of rainfall events between years.…”

Section: Discussionmentioning

confidence: 86%

“…Existing research has identified that an increase in either substrate depth or organic matter content leads to a reduction in the value of k [4], and hence an increase in green roof detention performance. Levels of organic matter within a green roof have been observed to change with time, and both increases [5,6] and decreases [7] have been identified.…”

Section: Introductionmentioning

confidence: 99%

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Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance

De-Ville¹,

Stovin²

2015

USES Conference Proceedings

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The substrate within a green roof is subject to numerous natural processes throughout its intended design life. As such there is a need to identify the impacts these processes have on substrate hydrological performance over time. Presented is a conceptual hydrological green roof model that utilises non-linear reservoir routing techniques to parameterise detention processes into scale, k and exponent, n. The value of n can be fixed as it largely influenced by the roofs construction (roof slope, drainage length, etc.), thus reducing the model to a single parameter, k. Using observed rainfall/runoff data from test beds at The University of Sheffield values of k were identified for a series of 25 events over a period of 4 years. A rise in the mean value of k was observed for each year of the study, indicating a reduction in detention performance. A design storm exercise allows for the changes in detention performance to be quantified in commonly reported detention metrics.

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Section: Resultssupporting

confidence: 85%

Section: Discussionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance

De-Ville¹,

Stovin²

2015

USES Conference Proceedings

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“…Increasing media depths have been found to increase detention with prolonged runoff, higher peak attenuation and longer peak lag times [16][17][18][19], due to longer vertical transport distances. Others have not found this to be significant and have emphasized the importance of the horizontal flow path to the gutter and physical resistance in the drainage layer for observed detention performance [20,21].…”

Section: Green Roof Configuration and Geometrymentioning

confidence: 99%

Detention and Retention Behavior of Four Extensive Green Roofs in Three Nordic Climate Zones

Johannessen

Muthanna

Braskerud

2018

Water

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Climate change coupled with increasing urbanization has made extensive green roofs, both for retrofitting and new developments, an attractive way to bring nature back to cities, while managing stormwater. This study has investigated extensive green roof retention and detention performance based on 3-8 years of field data from four Norwegian locations representing typical cold and wet Nordic climates, also comparing several different commercial configurations. Accumulated retention was found to be 11-30% annually and 22-46% in May through October. The performance was found to be strongly dependent in evapotranspiration and less dependent on material storage capacities. Estimates for available storage capacities for precipitation events larger than 5 mm are given and can be useful for design purposes. Median observed peak attenuation compared to the precipitation ranged from 65 to 90% depending on locations and configurations. The event-based approach for evaluating detention was found to be challenging due to the nature of the precipitation in the studied locations. An alternative approach using flow duration curves based on the observed time series was tested and found to give valuable information on runoff patterns from green roofs and to be useful for evaluating green roof performance in relation to local requirements.

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“…It should be noted that the focus here is specifically on retention performance (i.e. volumetric control); detention (temporal delay) is addressed separately (see for example, Jarrett and Berghage, 2008; Kasmin et al, 2010;Yio et al, 2012;Vesuviano et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A modelling study of long term green roof retention performance

Stovin

Poë

Berretta

2013

Journal of Environmental Management

Self Cite

194

143

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This paper outlines the development of a conceptual hydrological flux model for the long term continuous simulation of runoff and drought risk for green roof systems. A green roof s retention capacity depends upon its physical configuration, but it is also strongly influenced by local climatic controls, including the rainfall characteristics and the restoration of retention capacity associated with evapotranspiration during dry weather periods. The model includes a function that links evapotranspiration rates to substrate moisture content, and is validated against observed runoff data.to typical extensive green roof configurations is demonstrated with reference to four UK locations characterised by contrasting climatic regimes, using 30-year rainfall time-series inputs at hourly simulation time steps. It is shown that retention performance is dependent upon local climatic conditions. Volumetric retention ranges from 0.19 (cool, wet climate) to 0.59 (warm, dry climate). Per event retention is also considered, and it is demonstrated that retention performance decreases significantly when high return period events are considered in isolation. For example, in Sheffield the median per-event retention is 1.00 (many small events), but the median retention for events exceeding a 1 in 1 yr return period threshold is only 0.10. The simulation tool also provides useful information about the likelihood of drought periods, for which irrigation may be required. A sensitivity study suggests that green roofs with reduced moisture-holding capacity and/or low evapotranspiration rates will tend to offer reduced levels of retention, whilst high moisture-holding capacity and low evapotranspiration rates offer the strongest drought resistance.

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Experimental analysis of green roof substrate detention characteristics

Cited by 62 publications

References 10 publications

Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance

Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance

Detention and Retention Behavior of Four Extensive Green Roofs in Three Nordic Climate Zones

A modelling study of long term green roof retention performance

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