A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Influences of Four Extensive Green Roof Design Variables on Stormwater Hydrology
AbstractThis study assesses the relative influence of four independent variables on green roof hydrological performance under rainstorm conditions. Twenty-four extensive green roofs representing all combinations of the following four design factors were used: native meadow species versus Sedum; mineral-based versus biologically derived planting medium; 10-cm versus 15-cm depth; and irrigation provided daily, sensor controlled, or not at all. From events covering the period May–October in 2013 and 2014, mean values were determined for the seasonal volumetric runoff coefficient (Cvol=0.4), peak runoff coefficient (Cpeak=0.12), and U.S. Natural Resources Conservation Service (NRCS) curve number (CN=94). Irrigation had the largest overall impact: daily irrigation increased Cvol to 0.5 compared to 0.3 for systems with sensor-controlled or no irrigation. The biologically derived planting medium, composed of a high proportion of aged wood compost, made a significant improvement, maintaining Cvol of 0.3 compared to 0.4 for the mineral-based product in the modules without irrigation. A similar pattern was found in the NRCS curve numbers.
Influences of Four Extensive Green Roof Design Variables on Stormwater Hydrology
AbstractThis study assesses the relative influence of four independent variables on green roof hydrological performance under rainstorm conditions. Twenty-four extensive green roofs representing all combinations of the following four design factors were used: native meadow species versus Sedum; mineral-based versus biologically derived planting medium; 10-cm versus 15-cm depth; and irrigation provided daily, sensor controlled, or not at all. From events covering the period May–October in 2013 and 2014, mean values were determined for the seasonal volumetric runoff coefficient (Cvol=0.4), peak runoff coefficient (Cpeak=0.12), and U.S. Natural Resources Conservation Service (NRCS) curve number (CN=94). Irrigation had the largest overall impact: daily irrigation increased Cvol to 0.5 compared to 0.3 for systems with sensor-controlled or no irrigation. The biologically derived planting medium, composed of a high proportion of aged wood compost, made a significant improvement, maintaining Cvol of 0.3 compared to 0.4 for the mineral-based product in the modules without irrigation. A similar pattern was found in the NRCS curve numbers.
Influences of Four Extensive Green Roof Design Variables on Stormwater Hydrology
Drake, Jennifer (author) / Margolis, Liat / Hill, Jenny / Sleep, Brent
2017
Article (Journal)
English
| Springer Verlag | 2005
Stormwater Attenuation and Green Roof Retrofit
| Wiley | 2016
| UB Braunschweig | 1982
| TIBKAT | 1982