Abstract
A methodological framework is presented to integrate epistemic uncertainties into an aleatory-based probabilistic green roof model. In doing so, the sensitivity and uncertainty of the mean and standard deviation of retention ratio are assessed. Regression-based global sensitivity analysis showed that the first-order effect of model parameters plays the dominant role over the higher-order effect in contributing the overall uncertainty of statistical moments of retention ratio from the probabilistic green roof model used. Inclusion of epistemic uncertainties allows comprehensive evaluation of uncertainty associated with the performance of a green roof system, which further facilitates risk-based design of green roof systems.
| Original language | English |
|---|---|
| Article number | 012001 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 191 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 5 Nov 2018 |
| Externally published | Yes |
| Event | 4th International Conference on Water Resource and Environment, WRE 2018 - Kaohsiung City, Taiwan, Province of China Duration: 17 Jul 2018 → 21 Jul 2018 |
Bibliographical note
Publisher Copyright:© Published under licence by IOP Publishing Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 12 Responsible Consumption and Production
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