A generic hydrological model for a green roof drainage layer

Vesuviano, Gianni; Stovin, Virginia

doi:10.2166/wst.2013.294

Cited by 55 publications

(43 citation statements)

References 4 publications

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“…A comparison between 5-min peak intensity for precipitation and runoff showed that median peak reductions ranged from 65 to 90% with the lowest reductions in OSL and highest in TRD and SAN (Figure 6). OSL had the smallest plots with shortest transport length, which might have led to lower peak reduction [15,21]. However OSL also had the lowest slope, which could have decreased the runoff peaks [15,23,25], and there was not an obvious answer to why OSL performed the poorest.…”

Section: Event Detentionmentioning

confidence: 98%

“…OSL had the smallest plots with shortest transport length, which might have led to lower peak reduction [15,21]. However OSL also had the lowest slope, which could have decreased the runoff peaks [15,23,25], and there was not an obvious answer to why OSL performed the poorest. Poorer performance in BER could be explained by both the highest intensity precipitation experienced ( Figure 2) and the shorter transport length compared to TRD and SAN.…”

Section: Event Detentionmentioning

confidence: 98%

“…Textile retention mats, substrates or other crushed materials as the bottommost layer will, on the other hand, probably increase the friction and reduce the water speed. Vesuviano and Stovin [15] compared runoff profiles from different drainage layers and found that the tested drainage boards performed quite similar to the bare channel, while the drainage board with a textile retention mat underneath showed the largest runoff delay. They also observed that different drainage boards made of the same material showed the same runoff behavior, possibly due to the same material surface roughness.…”

Section: Water Transport In Green Roofs In Generalmentioning

confidence: 99%

“…Increasing slopes have been found to give increased peak runoffs in extensive green roofs [23,25] and in drainage layers alone [15]. Several studies have also investigated the effect of slope on green roof retention and found that retention decreases as slope increases [23,25,26].…”

Section: Green Roof Configuration and Geometrymentioning

confidence: 99%

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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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Section: Event Detentionmentioning

confidence: 98%

Section: Event Detentionmentioning

confidence: 98%

Section: Water Transport In Green Roofs In Generalmentioning

confidence: 99%

Section: Green Roof Configuration and Geometrymentioning

confidence: 99%

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

Johannessen

Muthanna

Braskerud

2018

Water

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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

189

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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On the use of multi-objective optimization for multi-site calibration of extensive green roofs

Abdalla

Alfredsen

Muthanna

2022

Preprint

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Conceptual hydrological models are practical tools for estimating the performance of green roofs. Such models require calibration to obtain parameter values, which limits their use when measured data are not available. One approach that has been thought to be useful is to transfer parameters from a gauged roof calibrated locally (single-site calibration) to a similar ungauged roof in a different location. This study tested this approach by transferring calibrated parameters of a conceptual hydrological model between sixteen extensive green roofs located in four Norwegian cities. The approach was compared with a multi-site calibration scheme that explores trade-offs of model performances between the sites. The results showed that single site calibration could yield optimal parameters for one site and perform poorly in other sites. In contrast, obtaining a common parameter set that yields satisfactory results (Kling Gupta Efficiency >0.5) for different sites, and roof properties could be achieved by multi-site calibration.

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A generic hydrological model for a green roof drainage layer

Cited by 55 publications

References 4 publications

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

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

A modelling study of long term green roof retention performance

On the use of multi-objective optimization for multi-site calibration of extensive green roofs

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