完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | You, L. W. | en_US |
dc.contributor.author | Tung, Y. K. | en_US |
dc.contributor.author | Yoo, C. S. | en_US |
dc.date.accessioned | 2019-06-03T01:09:17Z | - |
dc.date.available | 2019-06-03T01:09:17Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 1755-1307 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1088/1755-1315/191/1/012001 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/152024 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Sensitivity and uncertainty analyses of retention performance of green roofs considering aleatory and epistemic uncertainties | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1088/1755-1315/191/1/012001 | en_US |
dc.identifier.journal | 4TH INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT (WRE 2018) | en_US |
dc.citation.volume | 191 | en_US |
dc.citation.spage | 0 | en_US |
dc.citation.epage | 0 | en_US |
dc.contributor.department | 防災與水環境研究中心 | zh_TW |
dc.contributor.department | Disaster Prevention and Water Environment Research Center | en_US |
dc.identifier.wosnumber | WOS:000467867600001 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |