Runoff Capture and Delivery Curves for Storm-Water Quality Control Designs

Abstract

From 1989 through 1996, Urban Drainage and Flood Control District in coordination with the University of Colorado at Denver has dedicated to the development of the concept of storm water quality runoff capture volume (QWCV). Before 1996, the major effort was to analyze tens of hundreds of individual events delimited from a continuous record. A serial of design charts and empirical formulas were published for determining the storm water capture volumes for storm water quality control designs (

Permeability predictions for sand-clogged Portland cement pervious concrete pavement systems

“…Based on available historical data, intensity/duration/frequency (IDF) curves are available for the geographical region from which the rainfall intensity values can be found (Chow et al, 1988;Guo et al, 2002). The applied intensities used initially corresponded to those that would simulate rainfall events in South Carolina.…”

Stochastic rainfall analysis for storm tank performance evaluation

“…Exponential functions have been usually adopted. In fact, most of the models used to date are based on this assumption (Di- Toro and Small, 1979;Adams et al, 1986;Guo and Adams, 1999;Guo and Urbonas, 2002). Actually, robust probabilistic methods, developed in the US and Canada, use the above assumption.…”

Proposal of a semi-probabilistic approach for storage facility design

“…On the other hand in the original model a Hortontype scheme was assumed to compute runoff volume, but in the Italian practice a simpler scheme was more frequently used, based on the definition of an initial loss IA and a runoff coefficient f. A similar scheme is actually suggested also by Guo and Urbonas (Guo and Urbonas 2002), where the one-parameter exponential distribution is again adopted for the rainfall characteristics.…”

“…So, the efficiency index gives a chance to numerically quantify a quality target and the variable S can be also interpreted as a water quality volume. With respect to the runoff capture volume concept, which was only focused on the runoff probability distribution (Guo and Urbonas 2002), this approach relates the device performances to the overflow probability distribution, because the storage volume S is an a priori fixed value and can be changed afterwards if the system efficiency is not satisfactory.…”

“…In storage detention design and management, starting from the definition of the stochastic rainfall process, three relevant dependent variable CDFs were developed: the runoff volume Adams 1998a, Guo andUrbonas 2002), the hydrograph peak discharge in the sewer network (Guo and Adams 1998b), that is the contributing catchment runoff rate, and the outflow peak discharge released by a storage facility in the downstream drainage system (Guo and Adams 1999). The first variable is fundamental in water quality volume estimation, while the others are crucial for the design of sewer pipes or storage devices devoted to storm discharge rate attenuation.…”