Quantifying the effect of slope on extensive green roof stormwater retention

Getter, Kristin L.; Rowe, D. Bradley; Andresen, Jeffrey A.

doi:10.1016/j.ecoleng.2007.06.004

Cited by 350 publications

(230 citation statements)

References 9 publications

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“…In this context, the effect of the green roof slope on water retention (in terms of precipitation that did not run off the system) is often studied. However, contradicting results have recently been registered, Getter et al (2007) or Villarreal and Bengtsson (2005) found that green roof retention decreased with the increased slope, while Liesecke (1999) and Schade (2000) concluded that the slope effect on the roof system retention is more or less negligible. This is probably due to different experimental conditions, green roof construction, and functional shift in definition of the roof system retention.…”

mentioning

confidence: 91%

A green roof segment for monitoring the hydrological and thermal behaviour of anthropogenic soil systems

Jelínková¹,

Dohnal²,

Picek³

2015

Soil & Water Res.

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Jelínková V., Dohnal M., Picek T. (2015): A green roof segment for monitoring the hydrological and thermal behaviour of anthropogenic soil systems. Soil & Water Res., 10: 262-270.Green roofs and similar anthropogenic soil-plant systems in conurbations have a high relevance for society, especially in a changing climate. Understanding the hydrological performance of green roof substrates is a significant task in the framework of sustainable urban planning and water/energy management in urban areas. Potential retention and detention capabilities of anthropogenic, light weight, highly permeable soil systems and their continued performance over time are of major importance. A green roof test segment was designed to investigate the benefits of such anthropogenic systems. This adaptable low-cost system allows for long-term monitoring of preferred characteristics. Temperature and water balance measurements complemented with meteorological observations and studies of physical properties of substrates provide a basis for a detailed analysis of thermal and hydrological regime in green roof systems. The very first results obtained from the test segment have confirmed the green roof systems benefits. Reduced temperature fluctuations as well as rainfall runoff were attained compared to the traditional roof systems. Depending on numerous factors including the substrate material or vegetation cover, in the green roof tested the temperature amplitude for a selected period of nonfreezing days (with minimum ambient air temperature of 2.8°C) was suppressed by about 6.5°C on average. The ability to completely prevent (light rainfall events) or reduce and delay (medium and heavy rainfall events) the peak runoff was demonstrated, too.

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mentioning

confidence: 91%

A green roof segment for monitoring the hydrological and thermal behaviour of anthropogenic soil systems

Jelínková¹,

Dohnal²,

Picek³

2015

Soil & Water Res.

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“…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. Reduced levels of organic matter are caused by decomposition, which then leads to substrate shrinkage [8], resulting in a compounded elevation in the value of k. Using 4 year rainfall/runoff data series collected from green roof test beds (located on the roof of the Turner Museum of Glass, Hadfield Building, The University of Sheffield) values of k will be determined for each year of the study.…”

Section: Introductionmentioning

confidence: 99%

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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“…In another paper, Berardi et al (2014) demonstrated how green roofs may contribute to the development of more sustainable buildings and cities. Green Roofs (GR) were able to significantly reduce peak rates of storm water runoff (Getter et al, 2007) and retain rainfall volumes with retention efficiencies ranging from 40% to 80% (Bengtsson et al, 2004). Permeable pavements offered great advantages in terms of runoff reduction (Carbone et al, 2014;Collins et al, 2008), water retention, and water quality (Brattebo and Booth, 2003).…”

Section: Introductionmentioning

confidence: 99%

On the use of surrogate-based modeling for the numerical analysis of Low Impact Development techniques

Brunetti

Šimůnek

Turco

et al. 2017

Journal of Hydrology

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a b s t r a c tMechanistic models have proven to be accurate tools for the numerical analysis of the hydraulic behavior of Low Impact Development (LIDs) techniques. However, their widespread adoption has been limited by their computational cost. In this view, surrogate modeling is focused on developing and using a computationally inexpensive surrogate of the original model. While having been previously applied to various water-related and environmental modeling problems, no studies have used surrogate models for the analysis of LIDs. The aim of this research thus was to investigate the benefit of surrogate-based modeling in the numerical analysis of LIDs. The kriging technique was used to approximate the deterministic response of the widely used mechanistic model HYDRUS-2D, which was employed to simulate the variably-saturated hydraulic behavior of a contained stormwater filter. The Nash-Sutcliffe efficiency (NSE) index was used to compare the simulated and measured outflows and as the variable of interest for the construction of the response surface. The validated kriging model was first used to carry out a Global Sensitivity Analysis of the unknown soil hydraulic parameters of the filter layer, revealing that only the shape parameter a and the saturated hydraulic conductivity K s significantly affected the model response. Next, the Particle Swarm Optimization algorithm was used to estimate their values. The NSE value of 0.85 indicated a good accuracy of estimated parameters. Finally, the calibrated model was validated against an independent set of measured outflows with a NSE value of 0.8, which again corroborated the reliability of the surrogate-based optimized parameters.

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Quantifying the effect of slope on extensive green roof stormwater retention

Cited by 350 publications

References 9 publications

A green roof segment for monitoring the hydrological and thermal behaviour of anthropogenic soil systems

A green roof segment for monitoring the hydrological and thermal behaviour of anthropogenic soil systems

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

On the use of surrogate-based modeling for the numerical analysis of Low Impact Development techniques

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