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<strong>Development</strong> <strong>of</strong> a <strong>Depth</strong>-<strong>Integrated</strong> <strong>Sample</strong><br />

<strong>Arm</strong> <strong>to</strong> <strong>Reduce</strong> <strong>Solids</strong> Stratification Bias in<br />

S<strong>to</strong>rmwater Sampling<br />

ABSTRACT: A new depth-integrated sample arm (DISA) was developed<br />

<strong>to</strong> improve the representation <strong>of</strong> solids in s<strong>to</strong>rmwater, both organic<br />

and inorganic, by collecting a water quality sample from multiple points in<br />

the water column. Data from this study demonstrate the idea <strong>of</strong> vertical<br />

stratification <strong>of</strong> solids in s<strong>to</strong>rm sewer run<strong>of</strong>f. Concentrations <strong>of</strong> suspended<br />

sediment in run<strong>of</strong>f were statistically greater using a fixed rather than multipoint<br />

collection system. Median suspended sediment concentrations<br />

measured at the fixed location (near the pipe invert) were approximately<br />

double those collected using the DISA. In general, concentrations and size<br />

distributions <strong>of</strong> suspended sediment decreased with increasing vertical<br />

distance from the s<strong>to</strong>rm sewer invert. Coarser particles tended <strong>to</strong> dominate<br />

the distribution <strong>of</strong> solids near the s<strong>to</strong>rm sewer invert as discharge<br />

increased. In contrast <strong>to</strong> concentration and particle size, organic material,<br />

<strong>to</strong> some extent, was distributed homogenously throughout the water<br />

column, likely the result <strong>of</strong> its low specific density, which allows' for<br />

thorough mixing in less turbulent water. Water Environ. Res., 83, 347<br />

(2011).<br />

KEYWORDS: suspended solids, suspended sediment, s<strong>to</strong>rmwater,<br />

run<strong>of</strong>f, au<strong>to</strong>sampler, organic, specific density.<br />

doi: 10.2175/106143010X 12851009156006<br />

Introduction<br />

Collection <strong>of</strong> representative s<strong>to</strong>rmwater quality samples in urban<br />

run<strong>of</strong>f can be difficult, as a result <strong>of</strong> the large sources <strong>of</strong> variability<br />

that are both temporal and spatial, such as the flashy nature <strong>of</strong> urban<br />

run<strong>of</strong>f events or sediment s<strong>to</strong>red in s<strong>to</strong>rm sewer systems between<br />

events (Horowitz, 1995; Selbig and Bannerman, 2007). The use <strong>of</strong><br />

au<strong>to</strong>mated water quality samplers has vastly improved the way<br />

water resources pr<strong>of</strong>essionals collect samples in these environments,<br />

but an increasing body <strong>of</strong> evidence suggests that some <strong>of</strong> the<br />

concentration data collected from urban conveyances, both in the<br />

past and presently, may be biased (Fowler et al., 2009; Smith,<br />

2002). One source <strong>of</strong> potential bias is the stratification <strong>of</strong> solids by<br />

particle size in a flowing water column. Previous studies have<br />

suggested that sediment accumulated in pipes may be mobilized as<br />

bed load or suspended load, depending on the concentration and<br />

size distribution <strong>of</strong> the sediment and energy <strong>of</strong> flow (Bent et al.,<br />

2000, DeGroot et al., 2009; Edwards and Glysson, 1999). The<br />

U.S. Geological Survey, Wisconsin Water Science Center, Middle<strong>to</strong>n,<br />

Wisconsin.<br />

2 Wisconsin Department <strong>of</strong> Natural Resouices, Madison, Wisconsin.<br />

*U.S. Geological Survey, Wisconsin Water Science Center, 8505<br />

Research Way,' Middle<strong>to</strong>n, WI 53562; e-mail: wrselbig@usgs.gov.<br />

William R. Selbigl*, Roger T. Bannerman 2<br />

location <strong>of</strong> the sampler intake can be critical, depending on the<br />

degree <strong>of</strong> stratification in the s<strong>to</strong>rm sewer pipe.<br />

Typically, the intake orifice <strong>of</strong> an au<strong>to</strong>sampler is located near the<br />

pipe invert <strong>to</strong> capture low-flow conditions. The recommended intake<br />

orifice diameter for au<strong>to</strong>mated samplers is approximately 0.95-cm<br />

(0.38-in.) (ISCO, 2008). Therefore, in large-diameter pipes, the<br />

s<strong>to</strong>rmwater quality sample collected' by the au<strong>to</strong>sampler represents<br />

only the bot<strong>to</strong>m 0.95 cm (0.38 in.) <strong>of</strong> the pipe. During higher flows,<br />

the majority <strong>of</strong> the water column is not sampled. If the water column<br />

is mixed fully, creating a homogenous distribution <strong>of</strong> sediment, this<br />

sampling scheme may be adequate; however, Smith (2002) has<br />

shown that the concentration and. distribution <strong>of</strong> sediment in a<br />

circular pipe with a diameter as small as 0.3 m (1 ft) can be<br />

concentrated near the bot<strong>to</strong>m <strong>of</strong> the pipe over a range <strong>of</strong> flow<br />

conditions. Similarly, in a controlled labora<strong>to</strong>ry setting, DeGroot et<br />

al. (2009) reported that sediment concentrations collected by an<br />

au<strong>to</strong>sampler fixed near the bot<strong>to</strong>m <strong>of</strong> a 46-cm (1 8-in.)-diameter pipe<br />

were much greater than known concentrations <strong>of</strong> particle sizes<br />

ranging from silts and clays (


Selbig and Bannerman<br />

1.25 x 0.375 Inch elliptical<br />

Stainless steel shaft \<br />

Mounting bracket/<br />

Polycarbonate end cap<br />

with 0.25 Inch I.D. Intake orifices<br />

Figure 1-Schematic drawing <strong>of</strong> the DISA.<br />

et al. (2005) suggested designing a new au<strong>to</strong>sampler system that<br />

uses a float system <strong>to</strong> place the intake at the midpoint <strong>of</strong> a flow<br />

path. DeGroot et al. (2009) designed an intake manifold that<br />

adjusts itself <strong>to</strong> the depth <strong>of</strong> flow in the pipe by use <strong>of</strong> a fin.<br />

Although this device showed promising results for accurately<br />

collecting sand-sized particles in a small-diameter pipe, an<br />

alternate mechanism would be necessary for pipes larger than<br />

61 cm (24 in.) in diameter (DeGroot et al., 2009). These ideas<br />

mark the genesis <strong>of</strong> new technologies <strong>to</strong> improve the way a<br />

s<strong>to</strong>rmwater quality sample is acquired by use <strong>of</strong> au<strong>to</strong>samplers.<br />

This study discusses the development <strong>of</strong> a new pro<strong>to</strong>type depthintegrated<br />

sample ann (DISA) designed <strong>to</strong> integrate with existing<br />

au<strong>to</strong>sampler configurations for collection <strong>of</strong> s<strong>to</strong>rmwater quality<br />

samples <strong>of</strong> urban run<strong>of</strong>f in a s<strong>to</strong>rm sewer. Use <strong>of</strong> the DISA<br />

facilitates collection <strong>of</strong> s<strong>to</strong>rmwater quality samples from a single<br />

or multiple point(s) in the water column. Integrating samples from<br />

the entire water column, rather than from a single, fixed point, can<br />

result in a more accurate representation <strong>of</strong> s<strong>to</strong>rmwater-borne<br />

solids. In this study, the DISA and a fixed-point sampling method<br />

were used <strong>to</strong> collect samples <strong>of</strong> urban run<strong>of</strong>f. Results from the two<br />

methods are compared on the basis <strong>of</strong> concentrations <strong>of</strong> suspended<br />

sediment, organic content, and PSDs using field-collected samples<br />

<strong>of</strong> urban run<strong>of</strong>f. Deficiencies <strong>of</strong> the DISA and suggested<br />

modifications <strong>to</strong> improve the device also are discussed.<br />

348<br />

Ram pis<strong>to</strong>n<br />

Rear mounting hole<br />

12v wMre<br />

'F -12 VDC Mo<strong>to</strong>rized: ram<br />

Aluminum support frame<br />

Materials and Methods<br />

The general field <strong>of</strong> application <strong>of</strong> the DISA described herein is<br />

intended <strong>to</strong> be in closed conveyances, such as s<strong>to</strong>rm sewers, that<br />

are used <strong>to</strong> route s<strong>to</strong>rmwater run<strong>of</strong>f in an urban environment.<br />

However, the DISA also may be used in any water quality<br />

sampling environment where the distribution <strong>of</strong> sediment in flow<br />

can be shown <strong>to</strong> be heterogeneous and not easily corrected using<br />

established manual sampling techniques, such as equal-width or<br />

equal-depth increment sampling.<br />

Use <strong>of</strong> the <strong>Depth</strong>-<strong>Integrated</strong> <strong>Sample</strong> <strong>Arm</strong> <strong>to</strong> Collect a Water<br />

Quality <strong>Sample</strong>. The DISA has a support frame, a mo<strong>to</strong>rized<br />

pis<strong>to</strong>n (also referred <strong>to</strong> as a linear actua<strong>to</strong>r), a rotary<br />

potentiometer, and a sample arm assembly (Figure 1). As the<br />

pis<strong>to</strong>n extends or retracts, it pivots the sample arm assembly<br />

around the potentiometer axle. The rotation <strong>of</strong> the DISA, and thus<br />

the position <strong>of</strong> the intake orifice, is controlled by an external data<br />

logger or other programmable logic control (PLC) device that<br />

activates a relay <strong>to</strong> energize the pis<strong>to</strong>n. The PLC may be<br />

programmed <strong>to</strong> set the intake orifice <strong>to</strong> a percentage <strong>of</strong> the water<br />

depth. The depth <strong>of</strong> water is measured by an acoustic-velocity<br />

sensor or similar device. For example, if the target sample position<br />

is set <strong>to</strong> be 50% <strong>of</strong> a water depth <strong>of</strong> approximately 0.2 m (0.5 ft),<br />

then the PLC will activate the mo<strong>to</strong>rized ram until the<br />

potentiometer reads the voltage representing 0.08 m (0.25 ft).<br />

Water Environment Research, Volume 83, Number 4


Thus, the mo<strong>to</strong>rized ram rotates the sample arm assembly <strong>to</strong> any<br />

vertical depth within the s<strong>to</strong>rm sewer. Once the PLC determines<br />

that the potentiometer has reached the target voltage, it triggers<br />

the au<strong>to</strong>sampler <strong>to</strong> operate with normal purge/withdraw cycles <strong>to</strong><br />

collect a s<strong>to</strong>rmwater quality sample and deposit it in one or more<br />

s<strong>to</strong>rage containers. Once the sample has been acquired, the DISA<br />

either moves <strong>to</strong> a new position for collection <strong>of</strong> another sample or<br />

fully retracts <strong>to</strong> the horizontal position, whi6h removes the DISA<br />

from the flow path with any debris that may have accumulated on<br />

the sample arm assembly while acquiring a sample.<br />

Method <strong>to</strong> Compare the <strong>Depth</strong>-<strong>Integrated</strong> <strong>Sample</strong> <strong>Arm</strong> with<br />

a Fixed-Point Au<strong>to</strong>sampler Configuration. This study involved<br />

collection and chaiacterization <strong>of</strong> data derived from<br />

s<strong>to</strong>rmwater quality samples collected in two urban drainage areas<br />

located in Madison, Wisconsin. The first was a 2.4-ha (6-ac)<br />

commercial parking area adjacent <strong>to</strong> a shopping center complex;<br />

the second was a 21-ha (53-ac) single-family residential area..<br />

Run<strong>of</strong>f was collected in multiple s<strong>to</strong>rm sewer inlets at each site<br />

and then was conveyed through a single, circular, concrete pipe<br />

with diameters <strong>of</strong> approximately 91 and 107 cm (36 and 42 in.) at<br />

the parking lot and residential drainage areas, respectively.<br />

Each moni<strong>to</strong>ring station was equipped with two au<strong>to</strong>mated<br />

water quality samplers and instruments <strong>to</strong> measure water level and<br />

velocity. Measurement, control, and s<strong>to</strong>rage <strong>of</strong> data were<br />

performed by electronic data loggers. <strong>Sample</strong> collection was<br />

activated by a rise in water level in the pipe during'a s<strong>to</strong>rm. Once<br />

the water level threshold was exceeded, typically a depth <strong>of</strong><br />

approximately 0.06 m (0.2 ft) from the pipe floor, each au<strong>to</strong>mated<br />

water quality sampler collected a discrete water sample in<strong>to</strong> I-L<br />

plastic containers. This process was repeated for every approximately<br />

0.03-m (0.1-ft) increase and approximately 0.06-m (0.2-ft)<br />

,decrease in water level over the duration <strong>of</strong> the s<strong>to</strong>rm hydrograph<br />

until the water in the pipe receded below the water level threshold.<br />

Each au<strong>to</strong>sampler was located side-by-side in an aluminum<br />

shelter directly over the s<strong>to</strong>rm sewer. ISCO 3700 pump heads with<br />

a 24-bottle configuration were used <strong>to</strong> provide consistent intake<br />

velocities. Pump heads were programmed with similar purge/<br />

withdraw cycles <strong>to</strong> flush the sample tubing before sample<br />

collection. One au<strong>to</strong>sampler collected a water quality sample<br />

from a fixed point located approximately 2.5 cm (1 in.) <strong>of</strong>f the<br />

pipe invert (herein called the fixed-point sampler), and the other<br />

collected a sample from multiple points using the DISA. Upon<br />

sample initiation, each sampler would collect a series <strong>of</strong> three<br />

successive sub-samples separated 'by 1-minute increments.<br />

Because the fixed-point sampler's intake nozzle was secured <strong>to</strong><br />

the pipe floor, each sub-sample was taken from the same location.<br />

The DISA was programmed <strong>to</strong> collect each sub-sample from<br />

different vertical locations in the water column. The first subsample<br />

was collected approximately 2.5 cm (I in.) from the.pipe<br />

invert <strong>to</strong> coincide with the intake location <strong>of</strong> the fixed-point<br />

sampler. The DISA then would relocate the intake nozzle <strong>to</strong> a<br />

vertical point approximating 30 and 60% <strong>of</strong> the water level for the<br />

second and third sub-samples, respectively. In doing so, subsamples<br />

were collected from the lower, middle, and upper onethird<br />

<strong>of</strong> the full water column. For example, if the water level was<br />

0.3 m.(1.0 ft), the first, second, and third sub-samples (herein<br />

called the lower, middle, and upper sub-samples) would be<br />

collected at a depth <strong>of</strong> 0.02, 0.09, and 0.2 m (0.08, 0.3, and 0.6 ft)<br />

"from the pipe invert, respectively. Although the vertical spacing <strong>of</strong><br />

each sub-sample remained consistent for this study, the location <strong>of</strong><br />

April 2011<br />

Selbig and Bannerman<br />

the nozzle intake can be programmed <strong>to</strong> accommodate any<br />

vertical position in the pipe, from completely vertical <strong>to</strong><br />

completely horizontal.<br />

Upon run<strong>of</strong>f cessation, water quality samples were retrieved<br />

and transported <strong>to</strong> the U.S Geological Survey Middle<strong>to</strong>n Field<br />

Office in Middle<strong>to</strong>n, Wisconsin. Each discrete sample was split<br />

equally in<strong>to</strong> two labora<strong>to</strong>ry-prepared containers by passing the 1 L<br />

sample through a cone splitter. Approximately 180 mL also was<br />

transferred from the cone splitter in<strong>to</strong> a separa<strong>to</strong>ry funnel for<br />

determination <strong>of</strong> PSD. Except for the separa<strong>to</strong>ry funnel, processed<br />

samples were chilled on ice and delivered <strong>to</strong> the Wisconsin State<br />

Labora<strong>to</strong>ry <strong>of</strong> Hygiene (Madison, Wisconsin) for analysis <strong>of</strong> <strong>to</strong>tal<br />

suspended solids (TSS), <strong>to</strong>tal volatile suspended solids (TVSS),<br />

and suspended sediment.<br />

Particle Size Distribution Measurement. The PSD.<strong>of</strong> run<strong>of</strong>f<br />

samples was measured using a Laser In-Situ Scattering and<br />

Transmissometry (LISST) particle size analyzer (Sequoia Scientific,<br />

Bellevue, Washing<strong>to</strong>n). The LISST-Portable uses laser<br />

diffraction <strong>to</strong> measure PSD as particle volume concentration<br />

(microliters per liter) in 32 logarithmically spaced bins ranging in<br />

size from approximately 2 <strong>to</strong> 350 gtm. Additional details are<br />

described in Agrawal and Pottsmith (2000). Contents <strong>of</strong> the<br />

separa<strong>to</strong>ry funnel were transferred in<strong>to</strong> the holding chamber <strong>of</strong> the<br />

LISST-Portable. Use <strong>of</strong> a separa<strong>to</strong>ry funnel allowed for complete<br />

transfer <strong>of</strong> the sample without the potential <strong>to</strong> bias coarse particle<br />

concentration by pouring or pipetting.<br />

The upper particle size fraction reported by the LISST-Portable<br />

was approximately 350 gim. Although the particle size fraction in<br />

the majority <strong>of</strong> samples collected as part <strong>of</strong> this study was below<br />

this reporting limit, ,some samples contained particles exceeding<br />

that size (


Selbig and Bannerman<br />

Table 1-Summary <strong>of</strong> solids concentrations at the parking lot and residential study areas for samples collected using<br />

the fixed-point and DISA samplers.<br />

TSS (mg/L) VSS (mgIL) Suspended sediment (mg1L)<br />

Statistic Fixed-point DISA Fixed-point DISA Fixed-point DISA<br />

Parking lot<br />

Number <strong>of</strong> observations 117 118 117 118 116 117<br />

Minimum 3


(a)<br />

C<br />

(b)<br />

100,000<br />

10,000<br />

o 1,000<br />

* LOWER • LOWERLine <strong>of</strong> equal concentration -<br />

' MIDDLE<br />

x UPPER<br />

IX<br />

I. 10 0<br />

.K41<br />

a<br />

10,000<br />

100"<br />

j 100<br />

X KA<br />

,<br />

Selbig and Bannerman<br />

1 10 100 1,000 10,000 100,000<br />

Suspended Sediment Concentration (fixed-point sampler), In mg[L<br />

* LOWER<strong>of</strong> equal concentration<br />

£ MIDDLE<br />

* UPPER<br />

1 10 100 1,000 10,000<br />

Suspended Sediment Concentration (fixed-point sampler), In mg/L<br />

Figure 2-Paired concentrations <strong>of</strong> suspended sediment at the fixed-point and lower, middle, and upper DISA sample<br />

locations in the (ay parking lot and (b) residential study sites.<br />

April 2011 351<br />

AL


Selbig and Bannerman<br />

E<br />

a<br />

ES<br />

p1,500-<br />

0<br />

U<br />

E<br />

51,000-<br />

m 500.<br />

0 "H'I<br />

1 H'I<br />

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20<br />

Event Number<br />

Figure 3-SSCs at the lower, middle, and upper DISA intake locations in the residential study area. Only samples that<br />

were collected successfully from all three intake locations are shown.<br />

On average, differences in flow between successive sub-samples<br />

were less than 2%.<br />

Differences in Organic Content. The amount <strong>of</strong> organic<br />

material in a water sample can be expressed as the ratio <strong>of</strong> TVSS<br />

<strong>to</strong> TSS. Previous studies have demonstrated TSS as an inferior<br />

metric <strong>to</strong> measure solids in s<strong>to</strong>rmwater when compared with<br />

suspended sediment (Clark and Siu, 2008; deRidder et al., 2002;<br />

Gray et al., 2000; Kayhanian et al., 2008; Roesner et al., 2007;<br />

Selbig et al., 2007). The degree <strong>of</strong> error is correlated positively<br />

with concentration or particle size, or both (Selbig et al., 2007).<br />

Given the bias <strong>of</strong> TSS as a method <strong>to</strong> quantify solids in<br />

s<strong>to</strong>rmwater, the organic content <strong>of</strong> water samples collected as part<br />

<strong>of</strong> this study was expressed as a percentage <strong>of</strong> SSC. This<br />

definition <strong>of</strong> percent organic content is based on the assumption<br />

that equal amounts <strong>of</strong> organic material were transferred from the<br />

cone splitter in<strong>to</strong> the labora<strong>to</strong>ry containers used for determination<br />

<strong>of</strong> TVSS and suspended sediment, and none <strong>of</strong> the organic<br />

material was excluded from the labora<strong>to</strong>ry analysis.<br />

The distribution <strong>of</strong> organic material, <strong>to</strong> some extent, was<br />

uniform throughout the water column. This is likely the result <strong>of</strong><br />

the low specific density typically associated with organic detritus<br />

when compared with sand. Kayhanian et al. (2008) reported specific<br />

gravities <strong>of</strong> organic detritus ranging from 1.6 <strong>to</strong> 1.8 g/cm 3 -<br />

much lower than that <strong>of</strong> sand (2.65 g/cm 3 ). Cristina et al. (2002)<br />

reported the specific gravity <strong>of</strong> highly organic solids as 1.1 g/cm 3 .<br />

Based on S<strong>to</strong>kes Law (1851), organic solids can remain in suspension<br />

much longer than sand because <strong>of</strong> their lower specific<br />

density and therefore may achieve a more homogenous distribution<br />

throughout the water column, despite relatively low turbulence, as<br />

<strong>of</strong>ten is the case in s<strong>to</strong>rm sewers.<br />

Figure 4 shows the range <strong>of</strong> organic content as a percentage <strong>of</strong><br />

suspended sediment in the residential study area for the lower,<br />

352<br />

middle, and upper intake locations <strong>of</strong> the DISA. The residential<br />

study area was used <strong>to</strong> describe the characteristics <strong>of</strong> organic<br />

material in urban run<strong>of</strong>f because <strong>of</strong> its extensive tree canopy and<br />

other organic detritus that is transported easily during a s<strong>to</strong>rm<br />

event. The range <strong>of</strong> organic content generally is less than 50% for<br />

all vertical points in the water column. Median and mean<br />

percentages <strong>of</strong> organic material in samples collected from the<br />

middle intake location appear <strong>to</strong> be slightly greater than the lower<br />

or upper locations, but are not statistically significant (Kruskall-<br />

Wallis test, p = 0.05). Furthermore, although there is no statistical<br />

difference in the percentage <strong>of</strong> organic material at the lower,<br />

middle, or upper intake locations collected by the DISA, each<br />

vertical location has an organic content that is statistically greater<br />

than paired samples collected by the fixed-point sampler<br />

(Wilcoxon signed-rank test, p = 0.05). This suggests that use <strong>of</strong><br />

a fixed-point sampler might result in overestimation <strong>of</strong> the<br />

inorganic fraction and underestimation <strong>of</strong> the organic fraction in<br />

urban run<strong>of</strong>f.<br />

Particles collected by the fixed-point sampler in the residential<br />

study area had larger median and mean specific densities than<br />

those collected by the DISA for all vertical intake locations<br />

(Table 3). The densities shown in Table 3 may differ from the<br />

actual values, as a result <strong>of</strong> compounding errors in analytical<br />

procedures. Concentrations <strong>of</strong> suspended sediment include all<br />

particles, regardless <strong>of</strong> size, but the volumetric concentrations<br />

determined by the LISST were restricted <strong>to</strong> the largest aperture <strong>of</strong><br />

the instrument-approximately 350 gIm. Large, organic detritus,<br />

such as grass clippings, would be included in the concentration <strong>of</strong><br />

suspended sediment, but not in the volumetric concentration. This<br />

limitation is best visualized in Figure 5, where approximately<br />

30% <strong>of</strong> specific densities are less than 1.0 (the density <strong>of</strong> water).<br />

However, a comparison between the ranges <strong>of</strong> estimated densities<br />

Water Environment Research, Volume 83, Number 4


Lower M iddle Upper<br />

Selbig and Bannerman<br />

Figure 4-Percent organic content <strong>of</strong> water quality samples collected using the DISA at the lower, middle, and upper<br />

intake locations.<br />

does support a distinction between sampler types. This is best<br />

illustrated by plotting the cumulative. frequency distribution <strong>of</strong><br />

estimated, average specific densities for both the DISA sample<br />

intake locations and the fixed-point sampler (Figure 5). Figure 5<br />

shows that the frequency distributions for the lower, middle, and<br />

upper sample-intake locations for the DISA sampler were similar<br />

<strong>to</strong> 'each another. The fixed-point saimpler had a frequency<br />

distribution favoring particles with a higher specific density.<br />

Approximately 75% <strong>of</strong> all particles in the fixed-point sampler and<br />

nearly all particles collected by the DISA sampler had average<br />

specific densities less than that <strong>of</strong> sand (2.65 g/cm 3 ).<br />

Further evidence <strong>of</strong> homogeneous distribution <strong>of</strong> organic<br />

material throughout the water column is illustrated in Figure 6.<br />

As the depth <strong>of</strong> water in the s<strong>to</strong>rm sewer decreases, the percentage<br />

<strong>of</strong> organic material tends <strong>to</strong> increase. The rate <strong>of</strong> increase is<br />

similar for all three sub-sample locations spaced vertically<br />

throughout the water column. A considerable amount <strong>of</strong><br />

Table 3-Comparison <strong>of</strong> average specific density<br />

estimated for samples collected from the DISA and<br />

fixed-point samplers.<br />

DISA sample Intake<br />

location<br />

Statistic Lower Middle Upper Fixed-point<br />

Number <strong>of</strong> observations 38 38 20 84<br />

Median 1.3 1.1 • 1.3 1.6<br />

Mean 1.4 1.2 .1.3 1.9<br />

Standard deviation 0.8 0.7 0.5 1.0<br />

Variation coefficient 0.6 0.6 0.4 0.6<br />

April 2011<br />

S50<br />

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variability exists in percent organic content when the depth <strong>of</strong><br />

water in the s<strong>to</strong>rm sewer is less than approximately 0.2 m (0.5 ft).<br />

One explanation might be the inherent variability in organic<br />

detritus accompanied by the timing <strong>of</strong> each sample. A greater<br />

amount <strong>of</strong> organic material could become entrained in run<strong>of</strong>f early<br />

in the rising limb <strong>of</strong> the hydrograph but may dissipate or dilute as<br />

the volume <strong>of</strong> water increases. A similar inverse relationship is<br />

apparent between the percent organic content and concentrations<br />

<strong>of</strong> suspended sediment. As the percentage <strong>of</strong> organic material<br />

decreases with increasing water depth, the percentage <strong>of</strong> inorganic<br />

sediment would increase. Similar conclusions were made by<br />

Lenhart and Lehman (2006) when analyzing concentrations <strong>of</strong><br />

TSS and TVSS in s<strong>to</strong>rmwater samples collected from several<br />

cities throughout the United States. It is this inorganic fraction that<br />

tends <strong>to</strong> have higher specific gravities and is more prone <strong>to</strong><br />

stratification in the water column. Subsequently, concentrations <strong>of</strong><br />

inorganic solids may show greater variability when using a fixedpoint<br />

sampler. i<br />

Differences in Particle Size Distribution. The range <strong>of</strong><br />

particle sizes in urban run<strong>of</strong>f can vary considerably. Bent et al.<br />

(2000) reviewed studies from several countries around the world<br />

that related sediment in run<strong>of</strong>f from a variety <strong>of</strong> urban areas. The<br />

median particle size (d50) <strong>of</strong> sediments collected in these studies<br />

ranged from 0.0 13 <strong>to</strong> 1.00 mm. Other studies differ on the particle<br />

size that au<strong>to</strong>samplers are able <strong>to</strong> capture effectively (range from<br />

250-<strong>to</strong> 2000 ptm), regardless <strong>of</strong> their location in the water column<br />

(Clark et al., 2008; Pedrick and Tellessen, .2008). Despite<br />

disagreement in particle size collection efficiency, these studies<br />

tend <strong>to</strong> agree that the location <strong>of</strong> the sample intake has no<br />

significance if the water column is well-mixed. However, Clark et<br />

al. (2008) concluded that the location <strong>of</strong> a sampler intake would<br />

353


Selbig and Bannerman<br />

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upper DISA samples [(n) = number <strong>of</strong> samples used in analysis].<br />

become important in poorly mixed flows. Therefore, proper Horowitz (1995) reported increasing concentrations <strong>of</strong> sediment<br />

characterization <strong>of</strong> the distribution <strong>of</strong> particles in urban run<strong>of</strong>f with increasing depth in fluvial systems. The data presented in<br />

requires the collection <strong>of</strong> water quality samples from multiple Figures 6 and 7 illustrate a similar trend in a s<strong>to</strong>rm sewer. The<br />

points, rather than from a single fixed point in the water column. increase in concentration is the result, in part, <strong>of</strong> an increase in<br />

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Figure 6-Relationship <strong>of</strong> the percent organic material in samples collected from the lower, middle, and upper DISA<br />

sample locations with the depth <strong>of</strong> water in the s<strong>to</strong>rm sewer at the residential study site.<br />

354<br />

Water Environment Research, Volume 83, Number 4


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sample points grouped on the rising limb and peak <strong>of</strong> the hydrograph represents the chronological progression <strong>of</strong><br />

the lower, middle, and upper intake locations (Note: the upper DISA sample in sub-sample 1 did not have enough<br />

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355


Selbig and Bannerman<br />

sand-sized material. In the absence <strong>of</strong> turbulent eddies, coarse<br />

particles with high specific density become stratified and tend <strong>to</strong><br />

be transported along the bot<strong>to</strong>m <strong>of</strong> the pipe floor. As the energy <strong>of</strong><br />

flow in the pipe increases, sediment concentration and particle<br />

size also increase. However, the distribution <strong>of</strong> coarse particles<br />

may remain stratified. Figures 7a and 7b show the distribution <strong>of</strong><br />

particles in water samples collected during the rising limb and<br />

peak <strong>of</strong> a s<strong>to</strong>rm hydrograph at the parking lot study area. Plots <strong>of</strong><br />

the lower, middle, and upper sub-samples are shown with<br />

corresponding fixed-point samples <strong>to</strong> highlight changing distributions<br />

with water depth. Mean concentrations <strong>of</strong> suspended<br />

sediment for the DISA and fixed-point samplers also are shown <strong>to</strong><br />

provide a correlation and comparison <strong>of</strong> sediment concentration<br />

and particle size with discharge (energy). At the onset <strong>of</strong> flow in<br />

the pipe, when discharge is low, particles are relatively small in<br />

diameter (d50


tions in the fixed-point samples generally stayed the same.<br />

Incorrect assumptions <strong>of</strong> PSDs in urban s<strong>to</strong>rmwater could have<br />

detrimental consequences when sizing treatment devices, such as<br />

wet detention ponds.<br />

Relationships between sediment concentration, organic content,<br />

and PSD in s<strong>to</strong>rmwater quality samples collected in the fixedpoint<br />

and DISA were consistent across a range <strong>of</strong> hydraulic<br />

conditions. These relationships were duplicated at two geograph-<br />

• ical locations with different land7use characteristics, giving<br />

confidence in the transferability <strong>of</strong> the results <strong>of</strong> this study <strong>to</strong><br />

other urban run<strong>of</strong>f conveyance systems. Because all samples<br />

evaluated as part <strong>of</strong> this study were collected in a field setting, it<br />

was not possible <strong>to</strong> compare the results collected from each<br />

sampler with a known quantity. Additional research in a<br />

controlled labora<strong>to</strong>ry environment could provide the information<br />

necessary <strong>to</strong> verify the ability <strong>of</strong> the DISA <strong>to</strong> collect a solids<br />

concentration representative <strong>of</strong> the entire water column.<br />

Credits<br />

The authors thank Becky Carvin <strong>of</strong> the U.S.. Geological Survey<br />

(Middle<strong>to</strong>n, Wisconsin) for her tireless efforts in the field. Any<br />

use <strong>of</strong> trade, product, or firm names is for descriptive purposes<br />

only and does not imply endorsement by the U.S. Government.<br />

Submitted for publication May 3, 2010; revised manuscript<br />

submitted September 7, 2010; accepted for publication September<br />

28, 2010.<br />

References.<br />

Agrawal, Y. C.; Pottsmith, H. C. (2000) Instruments for Particle-Size and<br />

Settling Velocity Observations in Sediment Transport. Mar. Geol.,<br />

168, 89-114.<br />

Bent, G. C.; Gray, J. R.; Smith, K. P.; Glysson; G. D. (2000) A Synopsis <strong>of</strong><br />

Technical Issues for Moni<strong>to</strong>ring Sediment in Highway and Urban<br />

Run<strong>of</strong>f. U.S. Geological Survey Open-File Report 00-497; U.S.<br />

Geological Survey: Res<strong>to</strong>n, Virginia, 51.<br />

Cristina, C.; Tramonte, J.; Sansalone, J. (2002) A Granulometry-Based<br />

Selection Methodology for Separation <strong>of</strong> Traffic-Generated Particles in<br />

Urban Highway Snowmelt Run<strong>of</strong>f. Water Air Soil Pollut., 136, 33-53.<br />

Clark, S. E.; Siu, C. Y. S.; Pitt, R.; Roenning, C. D.; Treese, D. P. (2008)<br />

Peristaltic Pump Au<strong>to</strong>samplers for <strong>Solids</strong> Measurement in S<strong>to</strong>rmwater<br />

Run<strong>of</strong>f. Water Environ. Res., 81, 192-200.<br />

Clark, S. E.; Siu, C. S. (2008) Measuring <strong>Solids</strong> Concentration in<br />

S<strong>to</strong>rmwater Run<strong>of</strong>f: Comparison <strong>of</strong> Analytical Methods. Environ. Sci.<br />

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DeGroot, G. P.; Gulliver, J. S.; Mohseni, 0. (2009) Accurate Sampling <strong>of</strong><br />

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Water Resources Congress 2009, Kansas City, Missouri, May 17-21;<br />

American Society <strong>of</strong> Civil Engineers: Res<strong>to</strong>n, Virginia.<br />

deRidder, S..A.; Darcy, S. I.; Calvert, P. P.; Lenhart,-J. H. (2002) Influence <strong>of</strong><br />

Analytical Method, Data Summarization Method, and Particle-Size on<br />

Total Suspended <strong>Solids</strong> Removal Efficiency. Proceedings <strong>of</strong> the Ninth<br />

International Conference on Urban Drainage, Portland, Oregon, Sept.<br />

9-13; American Society <strong>of</strong> Civil Engineers: Res<strong>to</strong>n, Virginia.<br />

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Edwards, T. K.; Glysson, G. D. (1999) Field Methods for Measurement <strong>of</strong><br />

Fluvial Sediment. Techniques <strong>of</strong> Water-Resources Investigations <strong>of</strong><br />

the U.S. Geological Survey, Book 3, Chapter C2; U.S. Geological<br />

Survey: Res<strong>to</strong>n, Virginia, 23.<br />

Fowler, G. D.; Roseen, R. M.; Ballestero, T. P.; Guo, Q.; Houle, J. (2009)<br />

.Sediment Moni<strong>to</strong>ring by Au<strong>to</strong>sampler in Comparison with Whole<br />

Volume Sampling for Parking Lot Run<strong>of</strong>f. Proceedings <strong>of</strong> the World<br />

Environmental and Water Resources Congress 2009, Kansas City,<br />

Missouri, May 17-21; American Society <strong>of</strong> Civil Engineers: Res<strong>to</strong>n,<br />

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Gray, J. R.; Glysson, G.' D.; Torcios, L. M.; Schwartz, G. (2000)<br />

Comparability <strong>of</strong> Suspended-Sediment Concentration and Total<br />

Suspended <strong>Solids</strong> Data. U.S. Geological Survey Water Resources<br />

Investigation Report 00-4191; U.S. Geological Survey: Res<strong>to</strong>n,<br />

Virginia.<br />

Horowitz, A. J. (1995) The Use <strong>of</strong> Suspended Sediment and Associated<br />

Trace Elements in Water Quality Studies, Special Publication No. 4;<br />

International Association <strong>of</strong> Hydrological Sciences: Wallingford,<br />

Oxfordshire, , United Kingdom, 58.<br />

ISCO (2008) 3700R/3740 Refrigerated <strong>Sample</strong>r Instruction Manual. http:/H<br />

www.isco.com/pcfiles/PartPDF3fUPOOOXKF.pdf (accessed December<br />

16, 2009).<br />

Kayhanian, M.; Young, T.; Stenstrom, M. (2005) Limitation <strong>of</strong><br />

Current <strong>Solids</strong> Measurements in S<strong>to</strong>rmwater Run<strong>of</strong>f. S<strong>to</strong>rmwater, 6<br />

(5), 40-58.<br />

Kayhanian, M.; Rasa, E.; Vichare, A.; Leatherbarrow, J. E. (2008) Utility<br />

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Lenhart, J. H.; Lehman, J. M. (2006) Measuring Total Volatile Suspended<br />

<strong>Solids</strong> in S<strong>to</strong>rmwater <strong>to</strong> Understand the Influence <strong>of</strong> Organic Matter<br />

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Pedrick, J. H.; Tellessen, G. P. (2008) Do Au<strong>to</strong>matic <strong>Sample</strong>rs Suck?: The<br />

Effect <strong>of</strong> Au<strong>to</strong>matic <strong>Sample</strong>rs on <strong>Sample</strong>s Containing Coarse<br />

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April 2011 • 357


COPYRIGHT INFORMATION<br />

Author:<br />

Title: <strong>Development</strong> <strong>of</strong> a <strong>Depth</strong>-<strong>Integrated</strong> <strong>Sample</strong> <strong>Arm</strong> <strong>to</strong> <strong>Reduce</strong> <strong>Solids</strong><br />

Stratification Bias in S<strong>to</strong>rmwater Sampling<br />

Source: Water Environ Res 83 no4 Ap 2011 p. 347-57<br />

ISSN: 1061-4303<br />

DOI: 10.2175/106143010X12851009156006<br />

Publisher:<br />

Selbig, William R.; Bannerman, Roger T.<br />

Water Environment Federation<br />

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