Details
| Original language | English |
|---|---|
| Article number | 12 |
| Number of pages | 25 |
| Journal | Hydrology |
| Volume | 8 |
| Issue number | 1 |
| Early online date | 20 Jan 2021 |
| Publication status | Published - Mar 2021 |
Abstract
In increasingly expanding cities, roofs are still largely unused areas to counteract the neg-ative impacts of urbanization on the water balance and to reduce flooding. To estimate the effect of green roofs as a sustainable low impact development (LID) technique on the building scale, different approaches to predict the runoff are carried out. In hydrological modelling, representing vegetation feedback on evapotranspiration (ET) is still considered challenging. In this research article, the focus is on improving the representation of the coupled soil–vegetation system of green roofs. Relevant data to calibrate and validate model representations were obtained from an existing field campaign comprising several green roof test plots with different characteristics. A coupled model, utilizing both the Penman–Monteith equation to estimate ET and the software EPA stormwater management model (SWMM) to calculate the runoff, was set up. Through the application of an automatic calibration procedure, we demonstrate that this coupled modelling approach (Kling–Gupta efficiency KGE = 0.88) outperforms the standard ET representation in EPA SWMM (KGE = −0.35), whilst providing a consistent and robust parameter set across all green roof configurations. Moreover, through a global sensitivity analysis, the impact of changes in model parameters was quantified in order to aid modelers in simplifying their parameterization of EPA SWMM. Finally, an improved model using the Penman–Monteith equation and various recommendations are presented.
Keywords
- EPA SWMM, Green roof, Parameter optimization, Penman–Monteith, Runoff, Sedum
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Oceanography
- Environmental Science(all)
- Water Science and Technology
- Environmental Science(all)
- Waste Management and Disposal
- Earth and Planetary Sciences(all)
- Earth-Surface Processes
Sustainable Development Goals
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In: Hydrology, Vol. 8, No. 1, 12, 03.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Robust vegetation parameterization for green roofs in the epa stormwater management model (SWMM)
AU - Iffland, Ronja
AU - Förster, Kristian
AU - Westerholt, Daniel
AU - Pesci, María Herminia
AU - Lösken, Gilbert
PY - 2021/3
Y1 - 2021/3
N2 - In increasingly expanding cities, roofs are still largely unused areas to counteract the neg-ative impacts of urbanization on the water balance and to reduce flooding. To estimate the effect of green roofs as a sustainable low impact development (LID) technique on the building scale, different approaches to predict the runoff are carried out. In hydrological modelling, representing vegetation feedback on evapotranspiration (ET) is still considered challenging. In this research article, the focus is on improving the representation of the coupled soil–vegetation system of green roofs. Relevant data to calibrate and validate model representations were obtained from an existing field campaign comprising several green roof test plots with different characteristics. A coupled model, utilizing both the Penman–Monteith equation to estimate ET and the software EPA stormwater management model (SWMM) to calculate the runoff, was set up. Through the application of an automatic calibration procedure, we demonstrate that this coupled modelling approach (Kling–Gupta efficiency KGE = 0.88) outperforms the standard ET representation in EPA SWMM (KGE = −0.35), whilst providing a consistent and robust parameter set across all green roof configurations. Moreover, through a global sensitivity analysis, the impact of changes in model parameters was quantified in order to aid modelers in simplifying their parameterization of EPA SWMM. Finally, an improved model using the Penman–Monteith equation and various recommendations are presented.
AB - In increasingly expanding cities, roofs are still largely unused areas to counteract the neg-ative impacts of urbanization on the water balance and to reduce flooding. To estimate the effect of green roofs as a sustainable low impact development (LID) technique on the building scale, different approaches to predict the runoff are carried out. In hydrological modelling, representing vegetation feedback on evapotranspiration (ET) is still considered challenging. In this research article, the focus is on improving the representation of the coupled soil–vegetation system of green roofs. Relevant data to calibrate and validate model representations were obtained from an existing field campaign comprising several green roof test plots with different characteristics. A coupled model, utilizing both the Penman–Monteith equation to estimate ET and the software EPA stormwater management model (SWMM) to calculate the runoff, was set up. Through the application of an automatic calibration procedure, we demonstrate that this coupled modelling approach (Kling–Gupta efficiency KGE = 0.88) outperforms the standard ET representation in EPA SWMM (KGE = −0.35), whilst providing a consistent and robust parameter set across all green roof configurations. Moreover, through a global sensitivity analysis, the impact of changes in model parameters was quantified in order to aid modelers in simplifying their parameterization of EPA SWMM. Finally, an improved model using the Penman–Monteith equation and various recommendations are presented.
KW - EPA SWMM
KW - Green roof
KW - Parameter optimization
KW - Penman–Monteith
KW - Runoff
KW - Sedum
UR - http://www.scopus.com/inward/record.url?scp=85099965230&partnerID=8YFLogxK
U2 - 10.3390/hydrology8010012
DO - 10.3390/hydrology8010012
M3 - Article
AN - SCOPUS:85099965230
VL - 8
JO - Hydrology
JF - Hydrology
IS - 1
M1 - 12
ER -