Sumps are commonly used in urban stormwater systems, which can be considered as a simple pretreatment device for stormwater quality control. However, they may function as pollution sources due to sediment washout under high flow conditions. An experimental study was conducted to investigate the scour process of predeposited sediments from a sump and its influencing parameters. Under conditions with large inflows or high sediment deposit, the sediment particles could be resuspended, entrained and flushed out. The washout mass decreased exponentially with time if the sediment bed surface depth was larger than a threshold value; otherwise, the amount of washout would be much smaller. The same scour pattern was observed for all the testing cases, of which the largest scour depth always occurred below the outlet. The deposit below the inlet might increase under conditions with high flow rates and low levels of sediment bed. Dimension analysis was performed and principal non-dimensional parameters were found, including the Péclet number, the pipe Froude number, and the dimensionless particle diameter, which can be used to determine whether the washout would occur and its intensity in a stormwater sump under given conditions.

  • Maximum scour depth always occurs at the downstream side of stormwater sumps.

  • Sediment bed surface depth, discharge and particle size affect the washout process.

  • Péclet number, pipe Froude number and dimensionless particle size are most important to assess sump washout.

Suspended sediments in stormwater are generally considered as contaminants, since they can increase turbidity and facilitate the transport of pollutants to receiving water bodies, leading to many water quality, habitat, and aesthetic problems (Ashley et al. 2004). Catchbasin sumps have long been used as sediment traps in stormwater collection and conveyance systems (Lager et al. 1977). A number of studies have investigated the performance of sumps as stormwater quality control devices by evaluating their sediment and pollutant removal capacities (Lager et al. 1977; Aronson et al. 1983; Pitt 1985; Butler & Karunaratne 1995; Pitt & Field 1998; Faram et al. 2003; Andoh et al. 2007; Tang et al. 2016; Yang et al. 2018). The traditional catchbasin sumps rely on simple gravitational separation and have an overall satisfactory performance in capturing large debris, retaining floatables and minimizing deposition in drains.

Standard sumps are commonly used in stormwater collection systems. However, during less frequent storm events, if maximum treatment rates are exceeded, previously captured sediments can resuspend and discharge out of the devices. Most studies of proprietary settling devices have focused exclusively on the efficacy of initial pollutant removal. While it is a good indicator of the device's abilities in low-flow conditions, it does not provide sufficient information on how the system will work during heavy rain events (Andoh et al. 2007).

For sedimentation, settling velocities are an important parameter (Fan et al. 2003; Ferguson & Church 2004), whereas for resuspension, shear stresses are crucial. At low flow rates, the shear forces are too low to carry a significant amount of suspended solids, allowing them to settle, whereas during precipitation events, flow rates and shear forces are high enough to resuspend these solids and transport them downstream. Avila et al. (2008) found that the flow rate, particle size, overlying water layer thickness, and their interactions are significant factors that affect the scour of sediment in a conventional catchbasin sump, through a 24-full factorial experimental design. The overlying water layer above the sediment has an important function in protecting the sediment from scour. The inlet geometry has a considerable effect on the sediment resuspension due to impinging impact, and an inlet pipe without any energy dissipating device can cause more washout than a wide rectangular one. Following experimental studies using heterogeneous sediment mixtures and different ranges of particle diameter about 45–4,750 μm (Avila & Pitt 2009; Avila et al. 2011) revealed two protective mechanisms: (1) the depth of the overlying water significantly reduces the scour potential, and (2) an armoring layer by large particles is formed, which provides protection for finer sediments below.

Extensive lab testing and field work were conducted in the St. Anthony Falls Laboratory at the University of Minnesota to understand the sediment retention and washout of standard sumps (Wilson et al. 2007; Saddoris 2010; Saddoris et al. 2010, Howard et al. 2011, 2012; McIntire et al. 2012). It was found that as discharge decreases or particle size increases, removal efficiency of the standard sump increases. For the same particle size and discharge, the removal efficiency increases with increasing the chamber size. Along with settling velocity, the sump diameter, sump depth, and flow rate are important in determining the removal efficiency (Howard et al. 2012). The washout behavior of the accumulated sediment can occur under the condition that the energy of the water flowing into the sump should exceed the power required by the resuspension processes (Howard et al. 2012). During washout testing, sediment at the bottom of the sump was reshaped by a large vortex, and under high incoming flows the vortex caused previously captured sediment to be washed out.

When evaluating the performance of catchbasin sumps and related hydrodynamic separators in stormwater systems, both pollutant-removal efficiency and pollutant-retention efficiency should be taken into account. Compared to vortex separators, traditional sumps are surprisingly prone to sediment washout (Andoh et al. 2007). As such, these catchbasins may represent a pollution source because of ineffective retention. Pitt (1985) reported that catchbasins can capture sediments up to approximately 60% of the sump volume. Studies suggest that increasing the frequency of maintenance can improve the performance of catchbasins, particularly in industrial or commercial areas (Mineart & Singh 1994). However, there are only very limited guidelines for the schedule of routine maintenance, which do not have a rigorous basis of physics (Erickson et al. 2010; Guo 2017). In addition, internal structures can be better designed to enhance the pollutant removal performance (Andoh et al. 2007; Pathapati & Sansalone 2009, Howard et al. 2011; Ma & Zhu 2014; Brar et al. 2016), once the dominant parameters of the retention process could be thoroughly understood, particularly the washout problem.

On account of the wide use of sumps in urban drainage systems but limited data for washout, a detailed investigation is required for a better understanding of the mechanism and quantifying scour processes. This study investigated the sediment washout from a model sump for different particle sizes, sediment depths, and flow rates. The objectives are to quantify the washout amount of previously deposited sediment under different conditions, provide insight into the mechanism, and guide the maintenance program development and/or optimization.

Experimental setup

A comprehensive series of experiments has been performed on a physical model of a stormwater sump, constructed at the hydraulic laboratory in Ningbo University, as shown in Figure 1. The experimental apparatus consisted of a sump with a total height of 1.0 m and inner diameter Ds = 0.38 m, and straight through horizontal pipes with a diameter D = 0.1 m. The sump was made of acrylic material. The incoming and outflow pipe invert level was 0.5 m above the sump bottom, i.e., the depth of the settling chamber was Hs = 0.5 m. The upstream pipe was approximately 6.5 m long, connected with a supply tank. The downstream pipe, with a length of 4 m, was discharged freely to another tank where the water can be transferred back to the supply tank after a refiltration cloth to ensure suspended particulates do not interfere with the test.
Figure 1

Schematic of experimental setup (unit: m).

Figure 1

Schematic of experimental setup (unit: m).

Close modal

The supply flow rate was measured by a magnetic flow meter (KROHNE OPTIFLUX 2300F), with a relative error of approximately 0.2%. A camera (Sony FDR-AX60) was used to record the flow at 50 frames per second, of which the video could be used to perform image measurements. A handheld three-dimensional scanner (Shinning 3D Einscan-Pro 2X 2020) was used to digitally rebuild the eroded bed, of which the scan accuracy was about 0.05 mm. Removable filter bags were fitted at the outlet during the washout testing, and the captured solids were dried by a drying chamber (DHG-9240A Heating and Drying Oven) and weighed by a high precision electronic scale (QUINTIX35-1CN). The differences between measured temperatures at the beginning, middle, and end of each test were below 0.5 °C, thus negligible.

To investigate the washout process and mechanisms, sands of homogeneous particle size distribution (PSD) were used. Three size groups of quartz sand (specific gravity = 2.65) were tested in this study. A sieve analysis was conducted to determine the characteristic diameters of the sediment. Sand A corresponded to a sediment material, of which the median diameter ds was 0.6 mm, and the uniformity coefficient (d60/d10) was about 2.3. The median diameter of Sand B was about 1.2 mm, with a uniformity coefficient about 2. Sand C had a median diameter of 2.5 mm and a uniformity coefficient about 1.5. As the discharge and sediment height were expected to be significant parameters in determining the flushing, the test cases were designed as listed in Table 1.

Table 1

Experimental testing cases

Sand Groupds (mm)Q0 (L/s)hs (cm)ys = 50 – hs (cm)
Aa 0.6 4, 6, 8 50, 46, 42, 38, 34, 30 0, 4, 8, 12, 16, 20 
1.2 4, 6, 8 
2.5 4, 6, 8 
Sand Groupds (mm)Q0 (L/s)hs (cm)ys = 50 – hs (cm)
Aa 0.6 4, 6, 8 50, 46, 42, 38, 34, 30 0, 4, 8, 12, 16, 20 
1.2 4, 6, 8 
2.5 4, 6, 8 

aNote: For Sand A, additional cases with ys = 2, 6, 10, 14, 18 cm were tested at Q0 = 8 L/s.

Testing procedure

The procedure for the experiments was as follows: (1) sediments of known particle sizes (Sand A, B or C) were loaded with wet sump to a desired height and the flow was started at a preset flow rate; (2) washout solids at the pipe exit were collected using filter bags every minute for at least 40 min; and (3) the amount was determined after drying. The quantitative analysis of scour was based on the amount of washout solids.

Sediment washout process

The flow entering the sump as a horizontal jet spread and interacted with the initial overlying water layer at the initial stage. During the flow build-up process, horizontally oriented vortices were generated, and sediment movement in the vicinity of the exit was initiated due to excess shear stress. As the water level increased and the scour hole developed, vortices with vertical axis became dominant, by which the particles were entrained and carried out of the sump. In the steady state flow stage, the circulation on the vertical center plane was generated by the downward velocities at the downstream end of the sump and the upward velocities at the upstream end, similar to the lid-driven cavity flow. For the inflow rate Q0 = 4 L/s, the flow in the up- and downstream pipes has a free surface, and it was nearly full. For larger discharges Q0 = 6 and 8 L/s, the water levels in the sump were around 13 and 17 cm, respectively, above the inlet pipe invert, and pressurized flow occurred in pipes. As can be seen in Figure 2, the water level in the sump almost remains constant throughout the washout process, which is nearly identical to that with clean water.
Figure 2

Image sequence of scouring process for the case with Q0 = 8 L/s, ys = 4 cm.

Figure 2

Image sequence of scouring process for the case with Q0 = 8 L/s, ys = 4 cm.

Close modal

The sediment deposit in the sump would change the effective volume/depth of the chamber, leading to changes in the velocity distribution, particularly the magnitude of shear stress at the bed surface. As a result, the solids could be entrained, and the surface of the sediment deposit became distorted due to the scour (Figure 2). During such a process, the resuspension at the downstream side of the sump (below the outlet) was significant and the erosion increased continuously at the early stage of flow. The deposition at the upstream side of the sump (below the inlet) was also eroded, but the scour depth was smaller, compared to that of downstream side. Entrainment of particles was intense at the beginning, as shown in the video capture at t = 2 min, and the change of scour hole becomes indistinguishable after 30 minutes.

According to the examination of the mass flow rates of washout sediment, the process has two subsequent stages with the following information: (1) at the first stage, the flush of predeposited particles is intense, commonly exhibiting strong fluctuations, and (2) at the following stage, the amount of washout mass exponentially decreases, also with notable fluctuations due to flow disturbances if the inflow is large. The measured washout mass along with time for a typical case with Q0 = 8 L/s and ys = 4 cm is given in Figure 3. The captured total mass can be directly related to the scour hole volume in the sump (Ota et al. 2017). The results are quite different from those in Avila et al. (2011), where the experimental results showed that the effluent suspended solids concentration (ESSC) was statistically constant during the 30-min continuous flow. It is anticipated that as the erosion continues, the depth of the sediment surface decreases, and the shear stresses are reduced. Consequently, the washout will be weakened continuously. Once the depth of the remained solids drops below a certain threshold value, where the shear stresses are not capable of initiating suspension of those particles, there will be no further washout.
Figure 3

Washout process with Q0 = 8 L/s, ys = 4 cm.

Figure 3

Washout process with Q0 = 8 L/s, ys = 4 cm.

Close modal

If there was no overlying water initially above the deposited sediment, the jet flow would plunge into the bed, inducing extra disturbances during the flow build-up process. As a result, the erosion at the very beginning was much larger. Nonetheless, the percentage of the first five-minute washout mass was about 30%, which was nearly identical to that of the case with initial overlying water layer above the deposited sediment, as calculated from the data in Figure 3. After a thorough analysis, it is believed that the influence of the absence of initially overlying water was negligible.

The growth rate of the total mass of washed out solids continuously decreased, as shown in Figure 3. The quantitative analysis of deposit change by image measurements shows that after a short time period, e.g., 16 min for the case with Q0 = 8 L/s and ys = 4 cm, changes of scour depths below the inlet and outlet were found to be marginal. In general, the scour hole rapidly develops at the initial stage and then approaches a static equilibrium condition. This is because the acting shear stress on the sediment surface decreases with temporal development of the erosion (Avila et al. 2011, Ota et al. 2017), until equilibrium is reached.

The principal morphological features of the final deposit were the local scour at both ends of the sump, the upstream centerline ridge, and the bulges along the side wall, as shown in Figure 4(a) and 4(b). It is also notable that the longitudinal symmetry in the bed form was slightly disrupted by the turbulence and vortices of the flow field. Three-dimensional reconstruction tools were used to better visualize the bed morphology after scouring. The overall similarity of scour patterns was observed for all the testing cases, as shown in Figure 4(c). Typically, the maximum scour depth always occurs below the outlet. When the particle size is larger, the erosion below the main pathway of the flow is more regular since the secondary current in the sump is not capable of producing resuspension. Although the rigorous mathematical relationships cannot be easily formulated due to the inherent complexity of the loose boundary hydraulics, the observation on the phenomena and patterns will help to develop potential measures to mitigate the washout of deposited solids in stormwater sumps.
Figure 4

Bed morphology after washout for the case with Q0 = 8 L/s, ys = 4 cm.

Figure 4

Bed morphology after washout for the case with Q0 = 8 L/s, ys = 4 cm.

Close modal

Influencing factors

The factors associated with the washout mass flow were examined, including the incoming flow rate Q0, particle size ds, and initial depth of sediment bed surface below the outlet ys. As shown in Figure 5, the mass flow rates of washed out sediment increase dramatically with reduction of the initial depth of bed surface. The washout mass flow rates exponentially decay with time when ys <= 6 cm, as confirmed in Figure 5(a). When the initial sediment height hs = 46 cm, i.e., the initial depth of bed surface ys was 4 cm, the maximum washout mass flow rate was about 380 g/min when the flowrate was Q0 = 8 L/s, whereas it was reduced to about 170 g/min at Q0 = 6 L/s. The average washout rates were approximately 117 g/min and 30 g/min for Q0 = 8 L/s and Q0 = 6 L/s, respectively. When the incoming flow rate was reduced to Q0 = 4 L/s, the washout was negligible if ys >= 4 cm. Note that at the early stage of the flow, considerable fluctuations of the washout were observed for large discharges.
Figure 5

Washout process with various sediment bed surface depths at Q0 = 8 L/s for Sand A: (a) exponential fitting; (b) inspection on the threshold value of ys.

Figure 5

Washout process with various sediment bed surface depths at Q0 = 8 L/s for Sand A: (a) exponential fitting; (b) inspection on the threshold value of ys.

Close modal

The expected results for the washout experiments are that, for cases with given particle size and deposition depth, there exists a threshold value for the incoming flow rate to enable washout, and vice versa. It can be seen from Figure 5(b), when the initial depth of bed surface was larger than 8 cm, the maximum washout mass flow rate is only about 33 g/min. Thus, at Q0 = 8 L/s, the threshold value of the initial depth of bed surface ys is around 10 cm. From the temporal perspective, when ys >= 10 cm, the relative difference of the washout mass flow rates over the testing process was less than 15%.

For the same flow rate, as the initial depth of bed surface ys increases, the total mass of washout particles declines sharply until the erosion reaches minimal (Figure 6). As the flow rate was reduced, the washed out mass decreased as expected. Given identical flow Q0 and ys, the particle size can exert influence on both the maximum/average washout flux and the temporal pattern.
Figure 6

Total mass of washout under different conditions.

Figure 6

Total mass of washout under different conditions.

Close modal
The scour hole volume could be inferred based upon the total mass of washout particles, which increased with the discharge and reduced with the sediment size. The same trend was observed for the scour depths at the downstream side of the sump, as shown in Figure 7. However, when the initial bed surface depth ys is no larger than 4 cm, the maximum scour depth below the inlet ymu increases with the discharge, whereas for larger ys, ymu decreases with increasing flow rates. It is also evident that for all the cases, the downstream side scour ymd is much larger than the upstream side. For certain cases, the bed surface remained undisturbed, as the shear stress there was not capable of resuspending or entraining particles. Although the sump washout was tested over a small range of flow rate and sediment size, the scour hole geometry was found to be similar for different operational conditions and particle sizes.
Figure 7

Local maximum scour depths (ym) below the inlet and outlet under different conditions. Note: ymu denotes the scour depth at the upstream side and ymd the downstream side.

Figure 7

Local maximum scour depths (ym) below the inlet and outlet under different conditions. Note: ymu denotes the scour depth at the upstream side and ymd the downstream side.

Close modal

Dimensional analysis

As the washout process involves many variables, including gravitational acceleration (g), water density (ρw), water viscosity (ν), particle density (ρs), particle diameter (ds), sump diameter (Ds), discharge (Q0), inlet pipe diameter (D) and depth of bed surface (ys), a dimensional analysis can be carried out, which yields the relationship between the ESSC and those parameters:
where = is the specific gravity, = is the pipe Froude number (Hager 2010), is the Reynolds number of flow, = is the dimensionless particle diameter, and = is the Péclet number (Howard et al. 2012), in which the settling velocity of particles can be calculated as given in Ferguson & Church (2004):
As the Reynolds number for the flow is much larger than 5,000, a threshold value recommended in Guo (2017), it can be dropped from the above equation of ESSC. In addition, both the inlet pipe diameter and the sump diameter were specified in the experiments; thus, the parameter D/Ds can be also ignored. It follows that
According to the analysis in Howard et al. (2012), the physical process can be characterized by the power required to overcome particle settling and the kinetic power supplied by the inflow, and the washout function was related to . The experimental results were analyzed and plotted in Figure 8. It can be clearly seen that the dimensionless ESSC is reduced as or increases, while it becomes larger if the pipe Froude number Fp increases, as the Péclet number Pe indicates the capacity for the sump to retain sediments and the pipe Froude number Fp represents the ability to carry them out.
Figure 8

The relationships between the ESSC and dimensionless parameters: (a) maximum values; (b) average values.

Figure 8

The relationships between the ESSC and dimensionless parameters: (a) maximum values; (b) average values.

Close modal

The results show that when Pe > 1.5, the maximum ESSC was about 109 mg/L, and the average ESSC was very low, generally less than 9 mg/L. However, the ESSC can increase rapidly when Pe < 1, particularly for cases with large Fp values. A fitted washout function proposed by Howard et al. (2012) was shown to accommodate scaling for standard sumps, but only one sediment gradation (US Silica F110) was tested. The influences of particle size and inflow rate are evident in Figure 8, although the dimensionless parameters collapse the data into generalized performance behavior. It is worth mentioning that when the height of sediment layer is equal to outlet pipe invert, i.e., ys = 0 and Pe = 0, it is almost impossible to develop a generalized washout function. The dispersion of observed data was also reported in Saddoris (2010), where the data set for a Downstream Defender was fitted by separate curves. Nonetheless, the overall trend of the ESSC with regard to or is valid, and when > 2, the ESSC would drop down to an acceptable level.

Froude number scaling is applicable for sump washout studies as the flow is controlled by gravitational forces. For a prototype sump with a diameter 1.2 m, the length ratio Lr = 3.16 and the discharge ratio Qr = 17.7. For the discharges of 4–8 L/s in the model sump, the prototype flowrates will be 70.8–141.6 L/s. The scaling for settling and scour of solids in sumps was given in Guo (2017), and scour similarity is often difficult to achieve simultaneously with Froude number scaling. Thus, it is recommended that scaling laws should be tested with combined model and prototype studies. In this study, the results should only be used as a diagnostic technique for sediment washout from sumps.

Application and limitation

The presentation and discussion of experimental results show that as the sump depth decreases because of sediment capture, increased washout will occur, leading to decreased removal efficiencies. As a result, the primary maintenance activity required with stormwater sumps is cleaning of deposited sediments to minimize resuspension and washout. Cleanout frequency is one of the main concerns of stormwater management. In this study, a group of dimensionless parameters were found as dominant, which can be used to determine the need for action.

In studies of Pitt (1985) and Mineart & Singh (1994), the cleanout was associated with the basin volume occupied by sediments. In contrast, the depth of deposit surface ys should be used instead (or ), according to the results of this study. When the washout processes are well understood and threshold values are set in specific cases, the cleanout frequency can be reasonably predicted. However, many variables affect the accumulation of sediments, including watershed hydrology, stormwater runoff, suspended solids particle size distributions and sump dimension. Therefore, accurate prediction of net sediment accumulations in a specific device in a specific drainage basin is challenging.

Inflow variability over time was ignored in the present study, but is important to consider as it would be representative of typical conditions. In traditional methods, the dynamic inflow can be considered as quasi-steady, provided that the change is not too rapid. However, for washout of deposited sediment in a stormwater sump, the differences also lie in the initial bed form. In addition, the influence of the drop height between the inlet and outlet was not examined in this study. It is anticipated that the washout function will be profoundly affected by the drop height. It is important to note that armoring of particles may influence sediment washout under actual operating conditions; however, the effects of armoring were not tested. Thus, it is recommended that these parameters should be taken into account in future studies.

This study presents an analysis of sediment washout in a stormwater sump model based on experimental measurements under a variety of operating conditions. The washout mass decreased exponentially along with time as the predeposited sediments were continually resuspended and flushed out. The sediment bed morphology would evolve during the washout process and approach a final form, with the largest local scour depth being at the downstream sides of the sump (below the outlet), due to the combined effect of vertically oriented vortex motions and an erodible bed. The scour hole volume (or the total mass of washout particles) increased with the increasing of discharge and the reduction in particle size.

A number of parameters that were expected to affect sediment washout were taken into account in the dimensional analysis, through which dimensionless effluent concentrations were correlated with other non-dimensional parameters. It is believed that there is no universal washout function for such a complicated phenomenon. Nonetheless, a dimensionless parameter, , was found very useful to assess the washout mass flux and predict maintenance schedules with sufficient knowledge on sediment removal.

This work was partially funded by the Natural Science Foundation of Ningbo (202003N4134), the Natural Science Foundation of Zhejiang Province (LY21E090003), the Key Research and Development Program of Zhejiang Province (2020C03082), and the Fundamental Research Funds for the Provincial Universities of Zhejiang (SJLZ2021004). The authors are grateful to Dr Jiachun Liu and Dr Chunling Wang for their help in the experimental program, and the insightful comments from Dr Shengtao Du and Dr Yu Qian are also highly appreciated.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Andoh
R. Y. G.
,
Alkhaddar
R. M.
,
Faram
M. G.
&
Carroll
P.
2007
Pollutants washout–the missing dimension in urban stormwater treatment
. In
South Pacific Stormwater Conference
,
Auckland
.
Aronson
G.
,
Watson
D.
&
Pisano
W.
1983
Evaluation of Catchbasin Performance for Urban Stormwater Pollution Control. U.S. EPA. Grant No. R-804578
.
EPA-600/2-83-043
,
Cincinnati
, p.
78
.
Ashley
R. M.
,
Bertrand-Krajewski
J. L.
,
Hvitved-Jacobsen
T.
&
Verbanck
M.
2004
Solids in Sewers
.
IWA Publishing, London, UK
.
Avila
H.
&
Pitt
R.
2009
Physical experimentation and CFD modeling to evaluate sediment scour in catchbasin sumps
.
In World Environmental and Water Resources Congress 2009: Great Rivers (pp. 1–10)
,
Kansas, USA
.
Avila
H.
,
Pitt
R. E.
,
Durrans
S. R.
,
2008
Factors affecting scour of previously captured sediment from stormwater catchbasin sumps
. In:
Stormwater and Urban Water Systems Modeling, Monograph 16
(
James
W.
,
McBean
E. A.
,
Pitt
R. E.
&
Wright
S. J.
, eds).
CHI
,
Guelph, Ontario
, pp.
197
218
.
doi:10.14796/JWMM.R228-13
.
Avila
H.
,
Pitt
R.
&
Clark
S. E.
2011
Development of effluent concentration models for sediment scoured from catchbasin sumps
.
Journal of Irrigation and Drainage Engineering
137
(
3
),
114
120
.
Brar
P.
,
Drake
J.
&
Braun
S.
2016
Catch Basin Shield: Improving sediment retention of conventional catch basins
. In:
9th International Conference on Planning and Technologies for Sustainable Management of Water in the City
.
GRAIE
,
Lyon
,
France
.
Butler
D.
&
Karunaratne
S. H. P. G.
1995
The suspended solids trap efficiency of the roadside gully pot
.
Water Research
29
(
2
),
719
729
.
Erickson
A. J.
,
Gulliver
J. S.
,
Kang
J. H.
,
Weiss
P. T.
&
Wilson
C. B.
2010
Maintenance for stormwater treatment practices
.
Journal of Contemporary Water Research & Education
146
(
1
),
75
82
.
Fan
C. Y.
,
Field
R.
&
Lai
F. H.
2003
Sewer-sediment control: overview of an environmental protection agency wet-weather flow research program
.
Journal of Hydraulic Engineering
129
(
4
),
253
259
.
Faram
M. G.
,
Harwood
R.
&
Deahl
P.
2003
Investigation into the sediment removal and retention capabilities of stormwater treatment chambers
. In
StormCon Conference
,
San Antonio, Texas, USA
.
Ferguson
R. I.
&
Church
M.
2004
A simple universal equation for grain settling velocity
.
Journal of Sedimentary Research
74
(
6
),
933
937
.
Guo
Q.
2017
Stormwater Manufactured Treatment Devices: Certification Guidelines
.
American Society of Civil Engineers
,
Reston
,
Virginia
.
Hager
W. H.
2010
Wastewater Hydraulics: Theory and Practice
.
Springer
,
Heidelberg
.
Howard
A.
,
Mohseni
O.
,
Gulliver
J.
&
Stefan
H.
2011
Assessment and Recommendations for the Operation of Standard Sumps as Best Management Practice for Stormwater Treatment (Volume 1) (No. MN/RC 2011-08)
.
St. Anthony Falls Laboratory, University of Minnesota
,
Minneapolis, MN
.
Howard
A. K.
,
Mohseni
O.
,
Gulliver
J. S.
&
Stefan
H. G.
2012
Hydraulic analysis of suspended sediment removal from storm water in a standard sump
.
Journal of Hydraulic Engineering
138
(
6
),
491
502
.
Lager
J. A.
,
Smith
W. G.
,
Lynard
W. G.
,
Finn
R. M.
&
Finnemore
E. J.
1977
Urban Stormwater Management and Technology: Update and Users’ Guide
.
US Environ. Protection Agency. EPA-600/8-77-014
,
Cincinnati, Ohio
, p.
313
.
Ma
Y.
&
Zhu
D. Z.
2014
Improving sediment removal in standard stormwater sumps
.
Water Science and Technology
69
(
10
),
2099
2105
.
McIntire
K. D.
,
Howard
A.
,
Mohseni
O.
&
Gulliver
J. S.
2012
Assessment and Recommendations for Operation of Standard Sumps as Best Management Practices for Stormwater Treatment (Volume 2) (No. MN/RC 2012-13)
.
St. Anthony Falls Laboratory, University of Minnesota
,
Minneapolis, MN
.
Mineart
P.
&
Singh
S.
1994
The value of more frequent cleanouts of storm drain inlets
.
Watershed Protection Techniques
1
(
3
),
12
13
.
Pathapati
S. S.
&
Sansalone
J. J.
2009
CFD modeling of a storm-water hydrodynamic separator
.
Journal of Environmental Engineering
135
(
4
),
191
202
.
Pitt
R.
1985
Characterizing and Controlling Urban Runoff Through Street and Sewerage Cleaning
.
US Environmental Protection Agency, Cincinnati, Ohio, USA
.
Pitt
R.
&
Field
R.
1998
An evaluation of storm drainage inlet devices for stormwater quality treatment, presented at Water Environment Federation 71st Annual Conference & Exposition
,
WEFTEC Technology Forum
,
Orlando, FL
.
Saddoris
D. A.
2010
Hydrodynamic Separator Sediment Washout Testing
.
PhD Theiss
,
St. Anthony Falls Laboratory, University of Minnesota
,
Minneapolis, MN
.
Saddoris
D. A.
,
McIntire
K. D.
,
Mohseni
O.
&
Gulliver
J. S.
2010
Hydrodynamic Separator Sediment Retention Testing. (No. MN/RC 2010-10)
.
St. Anthony Falls Laboratory, University of Minnesota
,
Minneapolis, MN
.
Tang
Y.
,
Zhu
D. Z.
,
Rajaratnam
N.
&
van Duin
B.
2016
Experimental study of hydraulics and sediment capture efficiency in catchbasins
.
Water Science and Technology
74
(
11
),
2717
2726
.
Wilson
M. A.
,
Gulliver
J. S.
,
Mohseni
O.
&
Hozalski
R. M.
2007
Performance Assessment of Underground Stormwater Devices
.
Project Report No. 494, St. Anthony Falls Laboratory, Univ. of Minnesota
,
Minneapolis, MN
.
Yang
H.
,
Zhu
D. Z.
&
Li
L.
2018
Numerical modeling on sediment capture in catch basins
.
Water Science and Technology
77
(
5
),
1346
1354
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).