UPDATES: May 2010

UPDATES is a monthly email newsletter on stormwater management, assessment (including monitoring), and maintenance research at St. Anthony Falls Laboratory and the University of Minnesota.

Click HERE to subscribe to UPDATES Newsletter

Or Text SWUPDATES to 22828 to Join. Message and data rates may apply.

For Email Marketing you can trust


May 2010 (vol. 5, issue 2)

Importance of Particle Settling Velocity in BMP Design

Contributed by Eric Hettler

Funded by Minnesota Pollution Control Agency

Urban runoff contains particles that vary in size from small clays to coarse sands. Some best management practices (BMPs) such as ponds and hydrodynamic separators rely on sedimentation as the primary mechanism to remove these particles. Sedimentation is a function of The settling velocity of particles depends on the particle size and density. In order to ensure accurate design and estimates of performance, it is important to have an accurate measure of the particle settling velocity distribution for particles entering BMPs.

Previous studies have attempted to characterize particle size distribution (PSD) in urban runoff (USEPA 1986, Sansalone et al. 1998, Li et al. 2005), and the reported PSD varies widely. The PSD found by Sansalone et al. is coarser (i.e., larger particles) than the PSD found by Li et al., and the PSD found by Li et al. is coarser than the distribution found by the USEPA (NURP distribution). Nonetheless, practitioners and regulators generally use the NURP distribution for the design of BMPs. Assuming these particles have the same density, the settling velocity will increase as particle size increases. Figure 1 displays expected solids removal from an underground hydrodynamic separator receiving runoff from a hypothetical impervious watershed assuming the PSD reported by Sansalone et al., Li et al., and the USEPA (NURP distribution). Predicted removal for the coarser distributions (Sansalone et al., Li et al.) is substantially greater than for the commonly used USEPA/NURP distribution. Clearly, an accurate assumption of particle size distribution is essential to the proper design and evaluation of many BMPs.

Figure 1: Predicted removal from a hydrodynamic separator for a range of particle size distributions. (Courtesy E. Hettler)

Measuring and Estimating Infiltration Rate with the MPD Infiltrometer

Contributed by Farzana Ahmed

Funded by Minnesota Pollution Control Agency

Infiltration is an essential process of many stormwater best management practices (BMPs). However, infiltration rates have great spatial variation, making quantification of infiltration rates challenging. In addition, accumulation of fine particles at the surface can limit the infiltration rate of these practices. Therefore, measurements of the infiltration rate are needed to determine performance, schedule maintenance, and meet regulatory requirements. The Modified Philip Dunne (MPD) Infiltrometer has been developed as a fast, simple, and inexpensive device to measure the infiltration rate of water into the soil at a number of locations in rain gardens, infiltration basins and trenches, swales, and filter strips. A person with minimal training can obtain the saturated hydraulic conductivity at a number of locations in an infiltration practice, and ultimately calculate the infiltration rates for a variety of storms.

The MPD Infiltrometer is a falling head device. This infiltrometer is made of a hollow open-ended cylinder that is pounded two inches deep into the soil. Next, the device is filled with water to a predetermined height; a stopwatch is started when the water level starts to drop, and the water level is recorded over time. An MPD spreadsheet, developed for application in EXCEL, is then used to determine the saturated hydraulic conductivity (Ksat) and soil suction (C) based on the water level vs. time data, dimensions of the MPD, and the initial and final moisture conditions.

Figure 2: Modified Philip Dunne Infiltrometer (Courtesy F. Ahmed)

The spreadsheet minimizes the root mean square (RMS) of the difference between the observed and predicted time increment (Δt), as well as the observed ad predicted head increment (ΔH), by adjusting the saturated hydraulic conductivity (Ksat) and soil suction (C). The MPD spreadsheet and a set of MPD infiltrometers will be available for purchase from St. Anthony Falls Laboratory in the summer of 2010.

Soil Remediation as a Stormwater Best Management Practice

Contributed by Nick Olson, contact John Gulliver for more information

Funded by Minnesota Pollution Control Agency, Three Rivers Park District, and The Center for Urban and Regional Affairs.

Soils in residential developments typically have lower stormwater infiltration rates than the soils they replace. This is due to reduced topsoil depth and increased subsoil compaction as land is reshaped and worked with heavy equipment during development. Loss of infiltration leads to increased stormwater runoff and associated downstream problems of flooding, pollutant transport, and warming stream temperatures.

Field studies were conducted to measure the practical application and performance of amending soil with tillage and compost under actual conditions. Three different sites (Maple Lakes Park, Lake Minnetonka Regional Park, and French Regional Park) were divided into three plots for comparison:

  • Control: No remediation was performed
  • Tilled: Tilled to 24” depth and spaded to a depth of 16” to smooth furrows
  • Compost: Tilled to 24” depth and spaded with 3” of compost incorporated to a depth of 16”

Each plot has been tested to assess compaction before and after soil remediation with three indicators: saturated hydraulic conductivity, soil bulk density, and soil strength. Saturated hydraulic conductivity (Ksat) measures the permeability of the soil under saturated conditions and in general Ksat decreases as compaction increases. Soil (dry) bulk density is a measure of the density of the soil which increases as compaction increases. Soil strength is a measure of the resistance to penetration in the soil column, and penetration resistance increases as compaction increases.

Comparison of each site before and after remediation revealed that compost amended plots at all sites had the largest Ksat values and were 3.4 to 6.1 times greater than pre-remediation plots (e.g., see figure 3). Tilled plots had Ksat values 1.3 to 2.4 times greater than pre-remediation plots, but were not statistically different from the control plot averages at Lake Minnetonka Regional Park and French Regional Park (not shown).

Figure 3: Maple Lakes Park before and after remediation. (Courtesy N. Olson)

Bulk densities before and after remediation were similar for the control and tilled plots at all sites. Bulk densities in the compost plots, however, ranged from 0.93 to 1.15 g/cm3, which is a significant improvement compared to the pre-remediation average of 1.4 g/cm3. Remediation substantially reduced the soil strength at the surface and significantly reduced soil strength to depths near 12 inches in both the tilled and compost plots. This is a significant improvement when compared to the control plot.

Figure 4: Undergraduate research assistant Lanre Adekola takes measurements with a Modified Philip-Dunne Permeameter. (Courtesy N. Olson)

Remediation by tillage alone was ineffective in improving the saturated hydraulic conductivity, even though soil strength was reduced. Spading in compost after a soil has been tilled resulted in increased Ksat and reductions in bulk density, both of which improved the soil condition. This is likely due to the ability of the compost to increase the porosity and connected pathways in the soil. The next step in this study will be to assess permeability at French Regional Park and Maple Lakes Park to determine if the compost plots continue to improve (or maintain) the soil permeability.

Citation: "Stormwater Research at St. Anthony Falls Laboratory." University of Minnesota, St. Anthony Falls Laboratory. Minneapolis, MN. http://stormwater.safl.umn.edu/