Assessing curve number uncertainty for green roofs in a stochastic environment

Curve number (CN) is well-known by hydrologists for estimating rainfall induced runoff from a catchment. It can also be used as an indicator for measuring the impact of engineering or non-engineering measures on the runoff production in a catchment. In this study, a method is presented to quantify t...

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Published inIOP conference series. Earth and environmental science Vol. 191; no. 1; pp. 12002 - 12009
Main Authors Huang, W S C, You, L W, Tung, Y K, Yoo, C S
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 05.11.2018
Subjects
Evapotranspiration
Field capacity
Green buildings
Green roofs
Hydrology
Hypercubes
Interception
Latin hypercube sampling
Rainfall
Roofing
Roofs
Runoff
Uncertainty
Wilting
Wilting point
Online AccessGet full text
ISSN1755-1307
1755-1315
1755-1315
DOI10.1088/1755-1315/191/1/012002

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Abstract Curve number (CN) is well-known by hydrologists for estimating rainfall induced runoff from a catchment. It can also be used as an indicator for measuring the impact of engineering or non-engineering measures on the runoff production in a catchment. In this study, a method is presented to quantify the uncertainty of CN for hydrologic performance of a green roof system. Latin hypercube sampling approach, coupled with the antithetic variate technique, is used to achieve efficient and accurate quantification of the uncertainty features of CN for a green roof system. Elements in green roofs subject to uncertainty considered are rainfall characteristics (i.e. amount and inter-event dry period), soil-plant-climate factors (i.e. field capacity, wilting point, interception, evapotranspiration rate), and model error in SCS Ia-S relation. Numerical study shows that model error in SCS Ia-S relation has the dominant effect on the uncertainty features of CN for green roof performance.
AbstractList Curve number (CN) is well-known by hydrologists for estimating rainfall induced runoff from a catchment. It can also be used as an indicator for measuring the impact of engineering or non-engineering measures on the runoff production in a catchment. In this study, a method is presented to quantify the uncertainty of CN for hydrologic performance of a green roof system. Latin hypercube sampling approach, coupled with the antithetic variate technique, is used to achieve efficient and accurate quantification of the uncertainty features of CN for a green roof system. Elements in green roofs subject to uncertainty considered are rainfall characteristics (i.e. amount and inter-event dry period), soil-plant-climate factors (i.e. field capacity, wilting point, interception, evapotranspiration rate), and model error in SCS I a -S relation. Numerical study shows that model error in SCS I a -S relation has the dominant effect on the uncertainty features of CN for green roof performance.
Curve number (CN) is well-known by hydrologists for estimating rainfall induced runoff from a catchment. It can also be used as an indicator for measuring the impact of engineering or non-engineering measures on the runoff production in a catchment. In this study, a method is presented to quantify the uncertainty of CN for hydrologic performance of a green roof system. Latin hypercube sampling approach, coupled with the antithetic variate technique, is used to achieve efficient and accurate quantification of the uncertainty features of CN for a green roof system. Elements in green roofs subject to uncertainty considered are rainfall characteristics (i.e. amount and inter-event dry period), soil-plant-climate factors (i.e. field capacity, wilting point, interception, evapotranspiration rate), and model error in SCS Ia-S relation. Numerical study shows that model error in SCS Ia-S relation has the dominant effect on the uncertainty features of CN for green roof performance.
Author Yoo, C S
Huang, W S C
Tung, Y K
You, L W
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References 11
Balvanshi A N K I (9) 2014; 311
You L (13) 2018
Soil Conservation Service SCS (8) 1986
Natural Resources Conservation Service (2) 2004
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SubjectTerms Evapotranspiration
Field capacity
Green buildings
Green roofs
Hydrology
Hypercubes
Interception
Latin hypercube sampling
Rainfall
Roofing
Roofs
Runoff
Uncertainty
Wilting
Wilting point
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Title Assessing curve number uncertainty for green roofs in a stochastic environment
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