Sensitivity and uncertainty analyses of retention performance of green roofs considering aleatory and epistemic uncertainties

被引：0
|
作者：
You, L. W. [1 ]
Tung, Y. K. [1 ]
Yoo, C. S. [2 ]
机构：
[1] Natl Chiao Tung Univ, Disaster Prevent & Water Environm Res Ctr, 75 Bo Ai St, Hsinchu, Taiwan
[2] Korea Univ, Dept Civil Environm & Architectural Engn, 303 Engn Bldg,145 Anam Ro, Seoul, South Korea
来源：
4TH INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT (WRE 2018) | 2018年 / 191卷
基金：
新加坡国家研究基金会;
关键词：
REDUCTION;
D O I：
10.1088/1755-1315/191/1/012001
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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.
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页数：8
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