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

L. W. You; Y. K. Tung; C. S. Yoo

doi:10.1088/1755-1315/191/1/012001

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

L. W. You^*, Y. K. Tung, C. S. Yoo

^*Corresponding author for this work

Research output: Contribution to journal › Conference article published in journal › peer-review

2 Citations (Scopus)

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	https://doi.org/10.1088/1755-1315/191/1/012001
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.

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title = "Sensitivity and uncertainty analyses of retention performance of green roofs considering aleatory and epistemic uncertainties",

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.",

author = "You, \{L. W.\} and Tung, \{Y. K.\} and Yoo, \{C. S.\}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 4th International Conference on Water Resource and Environment, WRE 2018 ; Conference date: 17-07-2018 Through 21-07-2018",

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doi = "10.1088/1755-1315/191/1/012001",

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TY - JOUR

T1 - Sensitivity and uncertainty analyses of retention performance of green roofs considering aleatory and epistemic uncertainties

AU - You, L. W.

AU - Tung, Y. K.

AU - Yoo, C. S.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2018/11/5

Y1 - 2018/11/5

N2 - 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.

AB - 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.

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000467867600001

UR - https://www.scopus.com/pages/publications/85058127908

U2 - 10.1088/1755-1315/191/1/012001

DO - 10.1088/1755-1315/191/1/012001

M3 - Conference article published in journal

AN - SCOPUS:85058127908

SN - 1755-1307

VL - 191

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

IS - 1

M1 - 012001

T2 - 4th International Conference on Water Resource and Environment, WRE 2018

Y2 - 17 July 2018 through 21 July 2018

ER -

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

Abstract

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