ABSTRACT
This paper presents a straightforward design discharge estimation procedure for small urban districts. In this approach, the configuration of the small urban district was simplified into either a rectangular porous overland plane or a V-shaped porous overland model. The Horton equation was used to estimate the infiltration on the overland planes, and the kinematic-wave approximation was applied for runoff simulations. In deriving the runoff equation, the Darcy–Weisbach coefficient was adopted to account for the influences of spatially various flow depths on overland flow resistance. The theoretical derivations were applied to a series of cases and verified by numerical models to demonstrate the applicability of the proposed method. The results showed that the design discharges obtained from the analytical equations are close to those simulated by the numerical model. The analysis procedure developed herein can provide a convenient way for engineers to conduct urban sewer designs.
HIGHLIGHTS
A concise formula for design discharge is derived using the time of concentration equation and the rainfall intensity–duration relationship, providing a practical tool for engineers.
The paper offers a straightforward and effective approach to stormwater drainage system design tailored specifically for small urban districts, providing valuable insights and tools for practical implementation.
INTRODUCTION
The runoff at a watershed outlet can reach its maximum rate if the rainfall duration is greater than or equal to the time of concentration of the watershed. The design discharge from the rational method usually relies on the time of concentration, a loosely defined parameter calculated rather subjectively in practice. Numerous empirical time of concentration equations for design discharge estimations can be found in previous literature, such as Kirpich (1940), Kerby (1959), as well as Huggins & Burney (1982). The above empirical equations vary from one watershed to another. McCuen et al. (1984) reported that the values of time of concentration estimated by different empirical equations show wide variations and generate the design discharges in significant differences. Therefore, empirical equations should not be applicable beyond the watershed conditions in which they were developed.
Based on the kinematic-wave approximation, Henderson & Wooding (1964) derived the time of concentration equations for a rectangular overland plane, and Wooding (1965) subsequently derived the travel time equation on a compound V-shaped overland plane. In their theoretical derivations, rainfall intensity is first included, and later, the rainfall intensity is found to be the most important input parameter for the time of concentration estimation (McCuen et al. 1984). The application of the kinematic-wave approximation for watershed routing has been considered acceptable for small watersheds, provided the watershed slope is not too flat (Ponce 1989; Fread 1993; McCuen & Spiess 1995). By applying the kinematic-wave method for flows on pervious planes, Chen & Evans (1977) used a constant infiltration rate to abstract rainfall intensities for peak discharge estimation. Akan (1985, 1986) developed a finite-difference kinematic-wave overland flow model and applied Green-Ampt infiltration to estimate the time of concentration. Baiamonte & Singh (2016) derived an analytical solution for the time of concentration on a rectangular overland plane using the kinematic-wave equation under the Green-Ampt infiltration.
Most previous time of concentration derivations on the overland plane used Manning's formula to describe the flow resistance, although some studies reported that the Manning coefficient varies with the Reynolds number (Emmett 1970; Taken & Govers 2000; Hessel et al. 2003; Zhang et al. 2010; Shen et al. 2023), Manning's coefficient was usually treated mainly depending on surface roughness and the flow was in turbulent regime. Nevertheless, as reported by Yu & McNown (1964), for Reynolds numbers up to 104, the flow on concrete surfaces is still under laminar or transitional flow regimes. Chen (1976) showed that the flow could be entirely laminar on the grass surface for the same range of the Reynolds number. Butler (1988) pointed out that the estimating error for the time of concentration may be significant if the flow regime is inappropriately classified into turbulence. Subsequently, Chen & Wong (1993) used a typical relationship between the Darcy–Weisbach resistance coefficient and the Reynolds number for overland flow analysis to cover various flow regimes.
TIME OF CONCENTRATION DERIVATIONS
The toc is recognized as the time of concentration of the rectangular overland plane.
Two differences exist between the time of concentration equation derived herein and the conventional derivations, which used Manning's roughness coefficient. One is that the equation derived in this study can be applied from laminar through transitional, even extended to turbulence, by setting the d value between 0 and 1. On the contrary, those equations derived by using Manning's coefficient can only be applied to turbulence. The other is that the influence of flow depth on the resistance coefficient has been implicitly included in the above derivation.
INTENSITY–DURATION RELATIONSHIP OF RAINFALL EXCESS
DESIGN DISCHARGE DERIVATIONS
EXAMPLES OF PRACTICAL APPLICATION
Duration (min) . | Storm record . | Rainfall excess . | ||
---|---|---|---|---|
a . | B . | a . | b . | |
305.66 | 0.346 | 200.06 | 0.352 | |
521.93 | 0.502 | 269.94 | 0.439 | |
639.33 | 0.550 | 451.24 | 0.561 |
Duration (min) . | Storm record . | Rainfall excess . | ||
---|---|---|---|---|
a . | B . | a . | b . | |
305.66 | 0.346 | 200.06 | 0.352 | |
521.93 | 0.502 | 269.94 | 0.439 | |
639.33 | 0.550 | 451.24 | 0.561 |
To verify the applicability of the derived analytical equations for design discharge estimation in small urban districts, we also conducted numerical models for comparison. Backward finite-difference schemes (Chow et al. 1988) were used to establish the kinematic-wave numerical model. Details of the numerical schemes can be found in the online Appendix. Table 2 shows the design rainfalls, time of concentration, and peak discharges calculated by the derived analytical equations and the numerical models for the rectangular overland planes and V-shaped models using the same model parameter dataset. As shown in Figures 5 and 6, only slight differences between the analytical solutions and the numerical results can be found. The first reason for the differences is the truncation error when using the finite-difference scheme to solve the governing equations. The second reason for the differences mainly results from the use of average rainfall excess intensity (Equation (28)) in deriving the peak discharge (Equations (36) and (39)); however, the time-varying rainfall excess intensities (as shown in Figure 3 and Equation (A.4) in the online Appendix) are input into the numerical model for simulations. The close fit of the results estimated by the derived analytical equations and the numerical models preserves the reliability of the proposed method for sewer design in small urban districts.
Length . | Rectangular overland plane . | V-shaped overland model . | ||||||
---|---|---|---|---|---|---|---|---|
Lo or Lc (m) . | ie (mm/h) . | toc (min) . | (qop)a (m2/s) . | (qop)b (m2/s) . | ie (mm/h) . | tc (min) . | (qcp)a (m2/s) . | (qcp)b (m2/s) . |
100 | 101.91 | 6.80 | 0.00283 | 0.00284 | 97.84 | 7.63 | 0.27179 | 0.27188 |
200 | 87.89 | 10.35 | 0.00488 | 0.00490 | 85.36 | 11.24 | 0.94843 | 0.94844 |
300 | 80.60 | 13.24 | 0.00672 | 0.00674 | 78.69 | 14.17 | 1.96715 | 1.96725 |
400 | 75.79 | 15.76 | 0.00842 | 0.00844 | 74.23 | 16.72 | 3.29906 | 3.29911 |
500 | 72.26 | 18.04 | 0.01004 | 0.01009 | 70.93 | 19.03 | 4.92545 | 4.92569 |
Length . | Rectangular overland plane . | V-shaped overland model . | ||||||
---|---|---|---|---|---|---|---|---|
Lo or Lc (m) . | ie (mm/h) . | toc (min) . | (qop)a (m2/s) . | (qop)b (m2/s) . | ie (mm/h) . | tc (min) . | (qcp)a (m2/s) . | (qcp)b (m2/s) . |
100 | 101.91 | 6.80 | 0.00283 | 0.00284 | 97.84 | 7.63 | 0.27179 | 0.27188 |
200 | 87.89 | 10.35 | 0.00488 | 0.00490 | 85.36 | 11.24 | 0.94843 | 0.94844 |
300 | 80.60 | 13.24 | 0.00672 | 0.00674 | 78.69 | 14.17 | 1.96715 | 1.96725 |
400 | 75.79 | 15.76 | 0.00842 | 0.00844 | 74.23 | 16.72 | 3.29906 | 3.29911 |
500 | 72.26 | 18.04 | 0.01004 | 0.01009 | 70.93 | 19.03 | 4.92545 | 4.92569 |
Notes:
1 (qop)a and (qop)b indicate the peak discharges in the rectangular overland plane estimated using the derived analytical equation and numerical model, respectively.
2 (qcp)a and (qcp)b indicate the peak discharges in the V-shaped overland model estimated using the derived analytical equation and numerical model, respectively.
CONCLUSIONS
Drainage design in mid-size or large urban districts usually starts by using the rational method to estimate the outflow from each block and applying the contributing-area method (Wanielista et al. 1997) or a SWMM model to simulate all the block outflows into the sewer system. However, the design work can be relatively straightforward in small urban districts due to the comparatively small ditch and the simplicity of the drainage system.
In this study, we provide an analytical approach to determine the time of concentration and design discharge for small urban districts only based on rainfall–duration relationships and watershed geometry factors. The method solves the kinematic-wave approximation using the Darcy–Weisbach friction coefficient, which is more theoretically justified and can be explicitly expressed when determining the time of concentration. Consequently, the peak discharges under a specified return period can be analytically derived for a rectangular porous overland plane and a V-shaped porous overland model. To verify the reliability of the proposed analytical equations, we further applied numerical models for comparison. The results showed that the analytical solutions and numerical simulations were in good agreement for the five test sizes. Hence, the proposed method for design discharge estimation is more reliable and convenient than the conventional methods, which are mainly based on empirical time of concentration equations.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.