Water Science and Engineering 2011, 4(3) 246-257 DOI:   10.3882/j.issn.1674-2370.2011.03.002  ISSN: 1674-2370 CN: 32-1785/TV

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hydrologic performance
global sensitivity analysis
Morris method
XUN Yan-Wei
WEI Xiao-Mei
Article by Xun,Y.W
Article by Wei,X.M
Article by Christine,.P

Global analysis of sensitivity of bioretention cell design elements to hydrologic performance

Yan-wei SUN1, Xiao-mei WEI*1, Christine A. POMEROY2

1. College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, P. R. China
2. Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA


Analysis of sensitivity of bioretention cell design elements to their hydrologic performances is meaningful in offering theoretical guidelines for proper design. Hydrologic performance of bioretention cells was facilitated with consideration of four metrics: the overflow ratio, groundwater recharge ratio, ponding time, and runoff coefficients. The storm water management model (SWMM) and the bioretention infiltration model RECARGA were applied to generating runoff and outflow time series for calculation of hydrologic performance metrics. Using a parking lot to build a bioretention cell, as an example, the Morris method was used to conduct global sensitivity analysis for two groups of bioretention samples, one without underdrain and the other with underdrain. Results show that the surface area is the most sensitive element to most of the hydrologic metrics, while the gravel depth is the least sensitive element whether bioretention cells are installed with underdrain or not. The saturated infiltration rate of planting soil and the saturated infiltration rate of native soil are the other two most sensitive elements for bioretention cells without underdrain, while the saturated infiltration rate of native soil and underdrain size are the two most sensitive design elements for bioretention cells with underdrain.

Keywords bioretention   hydrologic performance   global sensitivity analysis   Morris method  
Received 2010-11-24 Revised 2011-04-22 Online: 2011-09-30 
DOI: 10.3882/j.issn.1674-2370.2011.03.002
Corresponding Authors: Xiao-mei WEI
Email: weixiaomei57@tom.com
About author:


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