Dispersion characteristics of the anisotropic dielectric strip waveguides with trapezoidal cross-section

2002 ◽  
Author(s):  
Ching-Her Lee ◽  
Jean-Fu Kiang ◽  
Chung-I G Hsu ◽  
Ying-Jiunn Lai
Keyword(s):  
Cross Section ◽  
Dispersion Characteristics ◽  
Anisotropic Dielectric ◽  
Trapezoidal Cross Section

scholarly journals Modeling a Bioretention Basin and Vegetated Swale with a Trapezoidal Cross Section using SWMM LID Controls

2021 ◽  
Author(s):  
Julia Bond ◽  
◽  
Essoyeke Batchabani ◽  
Musandji Fuamba ◽  
David Courchesne ◽  
...  
Keyword(s):  
Cross Section ◽  
Rectangular Cross Section ◽  
Low Impact Development ◽  
Soil Layer ◽  
Pilot Project ◽  
The United States ◽  
Control Module ◽  
Seepage Rate ◽  
Trapezoidal Cross Section ◽  
Surface Areas

The Low Impact Development (LID) Control module is utilized in the United States Environmental Protection Agency’s Stormwater Management Model (USEPA SWMM) to predict the hydraulic performance of a variety of sustainable stormwater technologies. Data collected in 2019 from the monitoring of a pilot project in Montreal was used to verify the ability of the Bioretention LID Control (which assumes a rectangular cross-section) to accurately simulate outflow from a structure with a trapezoidal cross-section. Two types of LID facility were modeled: one releases captured inflow through a perforated underdrain below the soil layer (bioretention basin; BB); and the other is drained at the surface of the soil layer (vegetated swale; VS). Initially, the modeled LID structures were sized identically to the field surface areas. However, it was necessary to change their model representation to account for the non-rectangular shape of the soil layer. In addition, a sensitivity analysis was completed, and the most influential parameters were identified as the conductivity slope and seepage rate. Both the alteration of the LID structure representation and the parametric calibration greatly improved the simulated outflows from the vegetated swale resulting in an increase of the Nash–Sutcliffe efficiency (NSE) coefficient from −0.6 to 0.64 (NSE >0.5 is acceptable for hydrologic models according to the literature). The bioretention basin calibration did not prove as successful. The evaluated LID Control module presented better predictive capabilities for the basin with a simpler overall design (VS).

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