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Summary information - total suspended solids (TSS) concentrations in stormwater runoff
Land use	Recommended emc TSS (mg/L)
Commercial	75
Industrial	93
Residential	73
Freeways/transportation	87
Mixed	76 or calculate
Open space	21
Conventional roof	< 20
NOTE: For recommendations on adjusting these values or for land uses not included above, see the table Event mean concentrations for total suspended solids

This page provides information on event mean concentrations of total suspended solids (TSS) in urban stormwater runoff. For a discussion of TSS in stormwater runoff, including information on sources, fate, and water quality impacts, see Total Suspended Solids (TSS) in stormwater.

Objective

Event mean concentrations (emcs) are used in models for predicting water quality impacts from stormwater runoff and stormwater treatment practices or pollution prevention practices. Pollutant loads, which are typically used to assess water quality impacts, including establishing total maximum daily loads (TMDLs), are a function of pollutant concentration and volume of runoff. It is therefore important to accurately determine appropriate event mean concentrations when assessing water quality impacts from stormwater runoff.

This page provides summary information that can be used for selecting or calculating appropriate emcs for total suspended solids.

Information: Many factors affect total suspended solids concentrations in stormwater. If you are unfamiliar with the concept of event mean concentrations, We recommend you first read Stormwater pollutant concentrations and event mean concentrations

Methodology

We conducted a review of literature to develop the EMCs shown on this page. Nearly all studies provided summary information; we therefore did not analyze raw data with the exception of data from Capitol Region Watershed District (see discussion below) and the National Stormwater Quality Database. We compiled the summary information into a spreadsheet and conducted simple statistical analysis of the information.

Data from the following studies were used to generate emcs for total suspended solids.

• National Stormwater Quality Database. This dataset provides data from several nationwide studies. We used only data from region 1, which includes Minnesota and states with similar rainfall patterns. Data were compiled for four land uses: Commercial (n=165), industrial (n=84), residential, (n=249), and open space (n=6).
• Lin (Review of Published Export Coefficient and Event Mean Concentration (EMCs) Data. This report includes summaries of multiple studies conducted in North America. Data existed for all land uses included in the table presenting recommended emcs.
• Washington District Department of the Environment - Selection of Event Mean Concentrations (EMCs). This study summarized data from studies in the Washington D.C. area. Land uses included commercial, roadway/highway, industrial, forest/open, and residential.
• U.S. Environmental Protection Agency, 1983, Results of the Nationwide Urban Runoff Program—Executive summary. Land uses included commercial and residential.
• Urban Stormwater Quality, Event-Mean Concentrations, and Estimates of Stormwater Pollutant Loads, Dallas-Fort Worth Area, Texas, 1992–93. Included commercial (n=42), residential (n=77), industrial (n=63) land uses.
• A review of sediment and nutrient concentration data from Australia for use in catchment water quality models . A compilation of multiple studies from Australia. Included forest (n=68) and mixed (n=36) land uses.
• Characterization of Urban Runoff Pollution between Dissolved and Particulate Phases . Study of five sites in China. Land uses included roof and transportation (roads).
• Quality Of Wisconsin Stormwater, 1989-94. Samples from mixed land use in Wisconsin (n=204).
• Analysis of Nonpoint Source Pollution Runoff from Urban Land Uses in South Korea. 23 samples in Korea from high density residential, medium desntiy residential, industrial, institutional land uses.
• Seasonal Performance Variations for Storm-Water Management Systems in Cold Climate Conditions. 15 samples from transportation land use in New Hampshire.
• Determination of event mean concentrations and first flush criteria in urban runoff. 31 samples from transportation land use in Los Angeles.
• Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables. 45 samples from commercial, industrial, and high density land uses.
• Stormwater runoff driven phosphorus transport in an urban residential catchment: Implications for protecting water quality in urban watersheds. 29 events from low density land use in Florida.
• Sources of phosphorus and street dirt from Two Urban Residential Basins in Madison, Wisconsin, 1994-95. 25 samples from medium density land use in Wisconsin.
• Nutrient Sources in Urban Areas – A Literature Review. Report summarizing multiple studies in Colorado. Land uses include residential, mixed, commercial, and open space.
• Contribution of surface runoff from forested areas to the chemistry of a through-flow lake. Forested land use in Poland.
• Brezonik and Stadelman, (2002). Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA.

In addition to the above sources, we compiled water quality monitoring data from 10 storm sewer outfalls in the Capitol Region Watershed in Minnesota. The data period for each outlet varied but generally spanned the period from about 2005 to 2019. The following information was compiled for each monitoring location.

• Date
• Total suspended solids in mg/L.
• Sample type, which included runoff samples during precipitation events, snowmelt samples, and baseflow samples for those locations where groundwater contributed to flow.

We also downloaded the 2015 National Stormwater Quality Database. The dataset includes information from across the U.S. We selected only data from Region 1, which includes Minnesota, for analysis. Four land uses included commercial, industrial, residential, and open space, with the number of samples for each land use varying.

For both of these data sets, we conducted simple statistical analyses.

Recommended event mean concentrations for total suspended solids

Pollutant loads in stormwater runoff equal the pollutant concentration times the runoff volume. Thus, when calculating pollutant loading, it is necessary to consider not only the event mean concentration but factors affecting the volume of runoff. For most models and calculations, this requires adjusting curve numbers or runoff coefficients to account for differences in directly connected impervious surface between different land uses. There may be other adjustments to volume, such as accounting for interception by trees. See the discussion Accounting for differences in pollutant loading.

Emcs for TSS vary by land use. This section provides recommended emcs for different land uses. A discussion of factors affecting emcs and potential adjustments to emcs are provided in separate sections below.

Residential land use

Example of residential land use

Studies from the literature frequently provide concentrations for residential land use or occasionally for different types of residential land use, typically low-, medium-, or high-density residential. Most studies do not define criteria for dividing residential land use into these subcategories. Various definitions can be found in the literature, including the following.

• Residential: "Residential land use means any real property or portion thereof which is used for housing human beings. This term includes property used for schools, day care centers, nursing homes, or other residential-style facilities or recreational areas." (Law Insider accessed December 31, 2019).
• High-density residential: More than 10 units per acre; can include multiple-occupant dwellings
• Medium-density residential: 1-10 dwellings per acre; can include multiple-occupant dwellings
• Low-density residential: one dwelling per 1-5 acres; can include multiple-occupant dwellings

Note that residential land uses can include other land uses, such as commercial and industrial. Many studies therefore classify land uses as mixed or urban, even though a specific land use may dominate a particular area.

Because of the variable and arbitrary manner in which residential land use is classified, we provide a single recommended value for event mean concentrations in residential land uses. We provide additional discussion below so that users can adjust this recommended value depending on local conditions. We used the following references for generating a recommended value for residential land use.

• Wisconsin; 10 sites; n=25; median=46
• Korea; 6 sites; n=23; median=63.3
• LA; 2 sites; 4 samples; median = 91.2
• NURP median = 101
• Dallas median = 78
• China median = 68
• NSQD 250 sites; median = 92 (region 1)
• Line = 42

We chose these studies because they contained large amounts of data and they were located in humid and sub-humid areas of the U.S. The median of the above 7 values is 73 mg/L.

Information: The recommended event mean concentration for total suspended solids in residential areas is 77 mg/L

Commercial land use

Example of commercial land use

"Commercial land use is the use of land for commercial purposes including building offices, shops, resorts and restaurants as opposed to construction of a residential house" (Reference, accessed December 24, 2019). Commercial areas considered in this analysis do not include areas used for commercial crop production.

We used the following studies in our analysis. Commercial

• NSQD; n=164; median = 97.15
• NURP median = 69
• Dallas median = 42
• L.A.; n=5; mean = 49.6
• China Median = 81
• Harper = 87.7

The median concentration from these studies is 75 mg/L.

Information: The recommended event mean concentration for total suspended solids in commercial areas is 75 mg/L

Industrial land use

Example of an industrial area

We used the following studies in our analysis.

• NSWD; n=84; median=70
• Dallas median = 104
• Korea median = 78.8; 6 sites
• LA median = 92.2; 6 sites
• Harper = 93.3
• Line = 170

The median TSS concentration from these studies is 93 mg/L. TSS concentrations do not appear to vary much across different industrial land uses, with the primary sources likely being road salt and atmospheric deposition. However, the following may contribute to higher TSS loads in industrial areas.

• Cleaning and washing operations
• Heavy vehicle traffic
• Specific industries such as food processing plants, meat packing plants and lockers, metal finishing facilities, and industries that generate or handle animal waste (including human sources)

Information: The recommended event mean concentration for total suspended solids in industrial areas is 93 mg/L

Open space

Example of open space land use

Open space consists of land that is undeveloped. Typically it will not contain buildings or other built structures. Many open spaces are accessible to the public. Open space generally consists of green space (land that is partly or completely covered with grass, trees, shrubs, or other vegetation). Abandoned parcels lacking structures may be considered open space, but it is generally more accurate to include these areas in the land use that existed prior to the parcel being vacant, or including it in adjacent land use categories. The following references were used to generate a recommended value a TSS emc for open space.

• NSQD; n=6; median = 20.5
• NURP median = 70
• Harper = 11.1

Parks and recreation areas are generally included in open space.

Information: The recommended event mean concentration for total suspended solids in open space, urban parks, and urban recreations areas is 21 mg/L

Transportation corridors, highways, and freeways

Example of transportation land use

This land use includes major transportation corridors where the land use is exclusively transportation. These areas are typically highly impervious and may include only small vegetated areas consisting of swales or medians, and relatively small right-of-way areas. This land use does not include arterial streets in residential, commercial, and industrial areas. The following references were used to generate a recommended value a TSS emc for open space.

• China median=86.72
• Fort Worth median =90; n=27
• New Hampshite median = 55.54; n=27
• LA median = 87.54; n=39
• Harper = 50.3

The median value from these studies is 87 mg/L.

Information: The recommended event mean concentration for total suspended solids in transportation areas is 87 mg/L

TSS concentrations from transportation corridors are highly variable depending on inputs. The primary inputs include road salt, sediment, and vehicle-related wastes, including oil. The recommended value should be adjusted based on vehicle traffic and likely suspended solids sources and inputs.

Roofs

Information: The recommended event mean concentration for total suspended solids in runoff from conventional (non-green) roofs is less than 10 mg/L

Mixed land use

• DC median = 47.25; 4 sites
• Australia; n=49; median=105
• Korea median = 153.3
• Korea median =76; n=45
• WI median = 188; 2 sites
• NURP median=67
• Capitol Region Watershed District (9 outfalls) median = 97 mg/L
• Sullen median = 54.5
• L.A. median = 65.1

Overall median = 76 mg/L

An emc can be calculated if the total area of interest (A_total), the area of each land use in the area of interest, and the emc for each land use in the area of interest are known.

Site emc = Σ₁ⁿ ((A_{Area 1} * emc_{Area 1})/ (A_total) + ... ((A_{Area n} * emc_{Area n}) / (A_total)

where A = area in acres.

Example calculation

• 10 acres of residential; emc = mg/L
• 10 acres of commercial; emc = mg/L
• 10 acres of industrial' emc = mg/L
• 1 acre of transportation; emc = mg/L

Overall emc = (73 * 10/31) + (75 * 10/31) + (93 * 10/31) + (1 * 10/31) = 80.5 mg/L

NOTE: To calculate loads for a mixed land use, a curve number or runoff coefficient must be calculated based on the impervious surface for each of the land uses.

Summary table for event mean concentrations by land use

Event mean concentrations for total suspended solids.
Link to this table

Land cover/land use	Range (mg/L)	Recommended value (mg/L)	Notes
Commercial	42-164	75	If applicable to models being used, adjust curve numbers/runoff coefficients when calculating loads
Industrial	70-170	93	If applicable to models being used, adjust curve numbers/runoff coefficients when calculating loads
Residential	42-101	73
High-density/Multi-family residential		Calculate	Insufficient information to recommend a specific emc
Medium density residential		Calculate	Insufficient information to recommend a specific emc
Low density residential		Calculate	Insufficient information to recommend a specific emc
Freeways/transportation	50-90	87
Mixed	47-188	76 or calculate	Residential land use was the primary land use in most studies that cited values for mixed land use If the study area can be delineated into specific land uses and impervious area for each land use is know, we recommend calculating the emc
Parks and recreation		Use value for open space or calculate	emc will be a function of vegetative cover
Open space	11-70	21
Conventional roof		<20
Institutional	17-140	80
Forest/shrub/grassland	26-140	72	Sediment concentrations from forested areas vary widely with factors such as slope and forest condition. Concentrations may be very high, but the annual volume of runoff is typically much less than non-forested areas.
Open water and wetlands		see Notes (next column)	If data exist, use the TSS concentration for the water body of interest If data for a specific water body do not exist, use data from similar lakes in the area
Cropland (row crops)	50-160		Literature review was not adequate to recommend an emc
Pasture	75-150	84	Concentrations are a function of intensity of use.

Factors affecting total suspended solid emcs in stormwater runoff

Concentrations of TSS show considerable variability within land uses. Using data from Region 1 of the National Stormwater Quality Database, mean concentrations are 50% greater than median concentrations for commercial, industrial, and residential land uses, indicating data are skewed toward higher concentrations. The mean for open space was only 7% greater than the median, indicating more uniform TSS concentrations.

Several factors affect concentrations of total suspended solids in stormwater runoff. The following bullet list summarizes some of the most important factors. Note these are general conclusions and not applicable to all local situations.

• Rainfall intensity and depth, including the maximum intensity and timing of this maximum. Most studies show emcs increase with rainfall intensity and depth during the initial period of runoff, but at some intensity emcs begin to decline due to dilution (Gong et al., 2016; Acharya and Piechota, 2010). Other studies show little or no effect of rain intensity (Schiff et al., 2016). During the latter part of a runoff event, TSS emcs and rain intensity are inversely related (Schiff et al., 2016).
• Interval between runoff events. As the number of days between runoff events increases, pollutants build up on impervious surfaces, resulting in greater TSS loading when runoff does occur. The effect on emcs is less certain and appears to vary with climate. This effect appears to be smaller in humid and sub-humid climates compared to arid and semi-arid climates (Gong et al., 2016; Acharya and Piechota, 2010; Li et. al, 2015).
• Length of runoff event. Typically, pollutant concentrations decrease after an initial peak associated with first flush. Studies suggest that, for runoff events lasting roughly 40 minutes or more, depending on intensity, TSS concentrations reach a relatively stable or slowly decreasing concentration that is 25-50% of the peak concentration (Li et. al, 2015; Schiff et al., 2016; Stenstrom and Kayhanian, 2005).
• Nature of watershed contributing to runoff and impervious connectedness. This effect relates to the phenomenon of first flush in which the greatest pollutant loading occurs in the early stages of runoff (Gong et al., 2016; Acharya and Piechota, 2010).
  • First flush is more pronounced in smaller watersheds.
  • First flush is more pronounced when the length of time between runoff events increases.
  • First flush is less pronounced when there is greater directly connected impervious surface, since runoff can reach a specific discharge point from greater distances.
  • First flush is more pronounced with higher rainfall intensities in the early part of a runoff event.
  • First flush is less pronounced when there is treatment up in a watershed, including pretreatment
• Land use. Data on this page illustrates differences in TSS emcs between land uses. Several factors affect concentrations within a specific land use.
  • Emcs increase in areas with extensive lawns on compacted soils and where lawns are directly adjacent to impervious surfaces.
  • Emcs increase in areas with greater loading of organic debris, such as leaves and yard clippings. This is associated with seasonal effects.
  • Emcs increase in areas with heavy vehicle traffic. Vehicle debris may be an important component of TSS in these areas.
  • Emcs will be elevated in areas receiving winter applications of sand and deicers.
• Construction activity within the watershed. Extensive construction activity can increase emcs during the construction period, particularly in watersheds with well-connected impervious surface. Construction activity (e.g. individual residences) not covered an NPDES permit will contribute more sediment on a per area basis due to less stringent or no erosion protection or sediment control practices.

Adjusting event mean concentrations

Several factors affect emcs, as discussed above. Emcs can and should be adjusted when supporting data exist. Local monitoring data should be used to support different emcs than those recommended on this page, but the following guidelines may be used to adjust emcs.

• In areas where sand and/or deicers are applied, adjust emcs upward if calculating pollutant loads for winter and early spring.
• In areas with extensive tree canopy, adjust emcs upward if calculating pollutant loads for fall.
• Adjust emcs upward if there is extensive construction activity occurring during the period when pollutant loads are calculated.
• Adjust emcs as appropriate if certain management activities, such as street sweeping, are implemented.

Effect of emc on pollutant loading

TSS loading, in pounds, for 3 different TSS emcs (30, 54.5, and 100 mg/L) and five land uses (1 acre of impervious with no pervious, and 1 acre of impervious with 1 acre of pervious turf on either HSG A, B, C, or D).

To assess the effect of changing the TSS emc, we ran several scenarios using the Minimal Impact Design Standards Calculator. For each model run we assumed 31.9 inches of precipitation annually. We varied the emc as follows

• 30 mg/L
• 54.5 mg/L (MIDS Calculator default)
• 100 mg/L

We varied land use as follows

• 1 acre of impervious
• 1 acre of impervious and 1 acre of turf on hydrologic group soil (HSG) A soil
• 1 acre of impervious and 1 acre of turf on B soil
• 1 acre of impervious and 1 acre of turf on C soil
• 1 acre of impervious and 1 acre of turf on D soil

The results, illustrated in the adjacent graph, indicate a small effect of soil. Changing the emc within a specific land use scenario, however, results in significant changes in loading. The change in loading is linear and equal to the following.

• impervious: 6.18 lbs/acre/yr increase in TSS load for each 1 mg/L increase in TSS
• A soil: 7.16 lbs/acre/yr increase in TSS load for each 1 mg/L increase in TSS
• B soil: 7.48 lbs/acre/yr increase in TSS load for each 1 mg/L increase in TSS
• C soil: 7.61 lbs/acre/yr increase in TSS load for each 1 mg/L increase in TSS
• D soil: 7.81 lbs/acre/yr increase in TSS load for each 1 mg/L increase in TSS

This exercise illustrates the importance of selecting an appropriate emc.

Accounting for differences in pollutant loading

Pollutant loads are a function of pollutant concentrations in runoff and the volume of runoff. Consequently, when calculating pollutant loads it is necessary to adjust both the emcs and volume of runoff. Volumes are typically calculated using curve numbers or runoff coefficients. The MPCA Simple Estimator, for example, employs a default runoff coefficient of 0.8 for commercial areas, compared to 0.44 for residential areas. The tables below may be used to determine the proper curve number or runoff coefficient. Percent impervious can be converted to a curve number using the following formula.

\( Curve number = (Impervious * 98) + ((1 - impervious) * (open space curve number in good condition for the specific soil)) \)

where impervious is given as a fraction (not a percent).

For example, if an area on B soils is 50 percent impervious, the curve number is given as (0.5 * 98) + ((1 - 0.50)(61)) = 79.5.

Curve numbers for urban and agricultural areas. Source: [USDA Urban Hydrology for Small Watersheds - TR-55. USDA Urban Hydrology for Small Watersheds - TR-55].
Link to this table

Cover type and hydrologic condition	Soil Group A	Soil Group B	Soil Group C	Soil Group D
Open space poor condition (<50% cover)	68	79	86	89
Open space average condition (50-75% cover)	49	69	79	84
Open space good condition (>75% cover)	39	61	74	80
Impervious surfaces	98	98	98	98
Commercial (85% impervious)	89	92	94	95
Industrial (72% impervious)	81	88	91	93
Residential (65% impervious)	77	85	90	92
Residential (30% impervious)	57	72	81	86
Residential (12% impervious)	46	65	77	82
Pervious, no vegetation (newly graded)	77	86	91	94
Fallow with residue cover	74-76	83-85	88-90	90-93
Row crop, no residue	67-72	78-81	85-88	89-91
Row crop with residue	64-71	75-80	82-87	85-90
Pasture, good condition	39	61	74	80
Pasture, poor condition	68	79	86	89
Meadow	30	58	71	78
Woods, good condition	32	58	72	79
Woods, poor condition	57	73	82	86

Runoff coefficients for different soil groups and slopes. Coefficients are for recurrence intervals less than 25 years. Source: Hydrologic Analysis and Design (4th Edition) (McCuen, 2017).
Link to this table

Land use	Soil Group A			Soil Group B			Soil Group C			Soil Group D
	0-2%	2-6%	>6%	0-2%	2-6%	>6%	0-2%	2-6%	>6%	0-2%	2-6%	>6%
Residential (65% impervious)	0.25	0.28	0.31	0.27	0.30	0.35	0.30	0.33	0.38	0.33	0.36	0.42
Residential (30% impervious)	0.19	0.23	0.26	0.22	0.26	0.30	0.25	0.29	0.34	0.28	0.32	0.39
Residential (12% impervious)	0.14	0.19	0.22	0.17	0.21	0.26	0.20	0.25	0.31	0.24	0.29	0.35
Commercial	0.71	0.71	0.72	0.71	0.72	0.72	0.72	0.72	0.72	0.72	0.72	0.72
Industrial	0.67	0.68	0.68	0.68	0.68	0.69	0.68	0.69	0.69	0.69	0.69	0.70
Streets	0.70	0.71	0.72	0.71	0.72	0.74	0.72	0.73	0.76	0.73	0.75	0.78
Parking	0.85	0.86	0.87	0.85	0.86	0.87	0.85	0.86	0.87	0.85	0.86	0.87
Open space	0.05	0.10	0.14	0.08	0.13	0.19	0.12	0.17	0.24	0.16	0.21	0.28
Cultivated land	0.08	0.13	0.16	0.11	0.15	0.21	0.14	0.19	0.26	0.18	0.23	0.31
Pasture	0.12	0.20	0.30	0.18	0.28	0.37	0.24	0.34	0.44	0.30	0.40	0.50
Meadow	0.10	0.16	0.25	0.14	0.22	0.30	0.20	0.28	0.36	0.24	0.30	0.40
Forest	0.05	0.08	0.11	0.08	0.11	0.14	0.10	0.13	0.16	0.12	0.16	0.20

There are numerous studies summarizing TSS exports for different land uses. Examples include the following.

• Shaver et al. (2007) reported export rates of 1000 lb/ac/yr for commercial, 670 lb/ac/yr for industrial, 420 lb/ac/yr for high-density residential, 250 lb/ac/yr for medium density residential, and 65 lb/ac/yr for low density residential land use.
• Using the data from the National Stormwater Quality Database, median TSS export is 242 lb/ac/yr for commercial, 193 lb/ac/yr for industrial, 76 lb/ac/yr for residential, and 35 lb/ac/yr for open space.
• Baldys et al. (1998) reported TSS export of 4430 lbs/mi²/yr for industrial land uses, compared to 2000 lb/mi² for commercial land use and 1440 lb/mi²/yr for residential land use in the Dallas-Fort Worth area

The studies illustrate the importance of estimating runoff volume, since loading from commercial areas, for example, is greater than from residential areas even though the emc for commercial areas is lower (0.20 mg/L compared to 0.325 mg/L for residential).

Example using the Minimal Impact Design Standards (MIDS) Calculator

Example MIDS Calculator with and without adjusted emcs
Land use	% impervious	Impervious acres	Pervious acres	emc (mg/L)	Total TSS load (lb/yr)	TSS export (lb/ac/yr)
Residential (>40% canopy)	30	0.90	2.1	80	663.8	221.3
Residential (<10% canopy)	30	0.6	1.4	70	387.2	193.6
Commercial	85	0.85	0.15	75	408.8	408.8
Industrial	72	0.72	0.28	93	447.8	447.8
Open space	10	0.10	0.90	21	37.6	37.6
Total suspended solids load with adjusted emcs = 1945.2 pounds/yr
MIDS unadjusted	39.6	3.17	4.83	54.5	1410.7	176.3

The following example illustrates how a variable land use setting may be modeled using the MIDS Calculator.

Site conditions.

• 31.9 inches annual precipitation
• B soils with turf
• 5 acres of residential consisting of the following
  • 3 acres of residential land use with high tree canopy coverage (> 50%) and 30% impervious
  • 2 acres of residential with low tree canopy coverage (<10%) and 30% impervious
• 1 acre of commercial land and 85% impervious
• 1 acre if industrial land and 72% impervious
• 1 acre of open space and 10% impervious

EMCs are as follows.

• The recommended TSS emc for residential land use is 73 mg/L. We assumed the following for the two residential areas described above.
  • For the high canopy area, we assumed 80 mg/L
  • For the low canopy area, we assumed 70 mg/L
• Commercial = 75 mg/L
• Industrial = 93 mg/L
• Open space = 21 mg/L

Total load with the variable land uses (1945.2 pounds) is much greater than the default MIDS scenario (1410.7 pounds). This is primarily due to the higher emcs and partly due to the higher impervious acreages in the variable land use scenario. The effect of impervious acreage is shown, for example, by reducing the percent impervious for industrial land use from 72% to 50%. This results in a total load of 348 pounds, or a reduction of about 100 pounds (22.3% reduction for a 22% change in impervious). This example also demonstrates the importance of accurately identifying land use within a modeled area.

References

• Acharya, A., and T. Piechota. 2010. Characterization of First Flush Phenomenon in an Urban Stormwater Runoff: A Case Study of Flamingo Tropicana Watershed in Las Vegas Valley. World Environmental and Water Resources Congress 2010: Challenges of Change. American Society of Civil Engineers. p 3365-3375. 10.1061/41114(371)347.
• Baldys III, S., T.H. Raines, B.L. Mansfield, and J.T. Sandlin. 1998. Urban Stormwater Quality, Event-Mean Concentrations, and Estimates of Stormwater Pollutant Loads, Dallas-Fort Worth Area, Texas, 1992–93. U.S. Geological Survey Water-Resources Investigations Report 98–4158.
• Bannerman, Roger T., Andrew D. Legg, and Steven R. Greb. 1996. Quality Of Wisconsin Stormwater, 1989-94. U.S. Geological Survey. Open-File Report 96-458.
• Bannerman, R.T., D. W.Owens,R. B.Dodds, and N. J. Hornewer. 1993. Sources of Pollution in Wisconsin Stormwater. Wac Sci tech 28:3-5. pp. 241-259.
• Bartley, Rebecca, and William Speirs. 2010. A review of sediment and nutrient concentration data from Australia for use in catchment water quality models. eWater Cooperative Research Centre Technical Report.
• Brezonik PL, Stadelmann TH.. 2002. Analysis and predictive models of stormwater runoff volumes, loads, and pollutant concentrations from watersheds in the Twin Cities metropolitan area, Minnesota, USA. Water Res. Apr;36(7):1743-57. DOI: 10.1016/s0043-1354(01)00375-x
• California Regional Water Quality Control Board. 2014. ENHANCED WATERSHED MANAGEMENT PROGRAM WORK PLAN FOR THE DOMINGUEZ CHANNEL WATERSHED MANAGEMENT AREA GROUP.
• Capitol Region Watershed District. 2016. May 18, 2016 Board Packet.
• Erickson, A.J., P.T. Weiss, J.S. Gulliver, R.M. Hozalski. Analysis of individual storm events, Stormwater Treatment: Assessment and Maintenance. Accessed December 31, 2019.
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