Runoff curve number

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The runoff curve number (also called a curve number or simply CN) is an empirical parameter used in hydrology for predicting direct runoff or infiltration from rainfall excess. [1] The curve number method was developed by the USDA Natural Resources Conservation Service, which was formerly called the Soil Conservation Service or SCS — the number is still popularly known as a "SCS runoff curve number" in the literature. The runoff curve number was developed from an empirical analysis of runoff from small catchments and hillslope plots monitored by the USDA. It is widely used and is an efficient method for determining the approximate amount of direct runoff from a rainfall event in a particular area.

Contents

Definition

The runoff curve number is based on the area's hydrologic soil group, land use, treatment and hydrologic condition. References, such as from USDA [1] indicate the runoff curve numbers for characteristic land cover descriptions and a hydrologic soil group.

The runoff equation is:

where

is runoff ([L]; in)
is rainfall ([L]; in)
is the potential maximum soil moisture retention after runoff begins ([L]; in)
is the initial abstraction ([L]; in), or the amount of water before runoff, such as infiltration, or rainfall interception by vegetation; historically, it has generally been assumed that , although more recent research has found that may be a more appropriate relationship in urbanized watersheds where the CN is updated to reflect developed conditions. [2]

The runoff curve number, , is then related

has a range from 30 to 100; lower numbers indicate low runoff potential while larger numbers are for increasing runoff potential. The lower the curve number, the more permeable the soil is. As can be seen in the curve number equation, runoff cannot begin until the initial abstraction has been met. It is important to note that the curve number methodology is an event-based calculation, and should not be used for a single annual rainfall value, as this will incorrectly miss the effects of antecedent moisture and the necessity of an initial abstraction threshold.

Selection

The NRCS curve number is related to soil type, soil infiltration capability, land use, and the depth of the seasonal high water table. To account for different soils' ability to infiltrate, NRCS has divided soils into four hydrologic soil groups (HSGs). They are defined as follows. [1]

Selection of a hydrologic soil group should be done based on measured infiltration rates, soil survey (such as the NRCS Web Soil Survey), or judgement from a qualified soil science or geotechnical professional. The table below presents curve numbers for antecedent soil moisture condition II (average moisture condition). To alter the curve number based on moisture condition or other parameters, see Adjustments.

Values

Fully developed urban areas (vegetation established)
Cover descriptionCurve numbers for hydrologic soil group
ABCD
Open space (lawns, parks, golf courses, cemeteries, etc.)Poor condition (grass cover <50%)68798689
Fair condition (grass cover 50 to 75%)49697984
Good condition (grass cover >75%)39617480
Impervious areasPaved parking lots, roofs, driveways, etc. (excluding right of way)98989898
Streets and roadsPaved; curbs and storm sewers (excluding right-of-way)98989898
Paved; open ditches (including right-of-way)83899293
Gravel (including right of way)76858991
Dirt (including right-of-way)72828789
Western desert urban areasNatural desert landscaping (pervious area only)63778588
Artificial desert landscaping (impervious weed barrier, desert shrub with 1- to 2-inch sand or gravel mulch and basin borders)96969696
Urban districtsCommercial and business (85% imp.)89929495
Industrial (72% imp.)81889193
Residential districts by average lot size18 acre or less (town houses) (65% imp.)77859092
14 acre (38% imp.)61758387
13 acre (30% imp.)57728186
12 acre (25% imp.)54708085
1 acre (20% imp.)51687984
2 acres (12% imp.)46657782
Developing urban areas
Cover descriptionCurve numbers for hydrologic soil group
ABCD
Newly graded areas (pervious areas only, no vegetation)77869194
Cultivated agricultural lands
Cover descriptionCurve numbers for hydrologic soil group
Cover typeTreatment [A] Hydrologic
condition
ABCD
FallowBare soil77869194
Crop residue cover (CR)Poor76859093
Good74838890
Row cropsStraight row (SR)Poor72818891
Good67788589
SR + CRPoor71808790
Good64758285
Contoured (C)Poor70798488
Good65758286
C + CRPoor69788387
Good64748185
Contoured & terraced (C&T)Poor66748082
Good62717881
C&T + RPoor65737981
Good61707780
Small grainSRPoor65768488
Good63758387
SR + CRPoor64758386
Good60728084
CPoor63748285
Good61738184
C + CRPoor62738184
Good60728083
C&TPoor61727982
Good59707881
C&T + RPoor60717881
Good58697780
Close-seeded or broadcast legumes or rotation meadowSRPoor66778589
Good58728185
CPoor64758385
Good55697883
C&TPoor63738083
Good51677680
A Crop residue cover applies only if residue is on at least 5% of the surface throughout the year.
Other agricultural lands
Cover descriptionCurve numbers for hydrologic soil group
Cover typeHydrologic
condition
ABCD
Pasture, grassland, or range—continuous forage for grazing. A Poor68798689
Fair49697984
Good39617480
Meadow—continuous grass, protected from grazing and generally mowed for hay.30587178
Brush—brush-weed-grass mixture with brush the major element. B Poor48677783
Fair35567077
Good30 C 486573
Woods—grass combination (orchard or tree farm). D Poor57738286
Fair43657682
Good32587279
Woods. E Poor45667783
Fair36607379
Good30557077
Farmsteads—buildings, lanes, driveways, and surrounding lots.59748286
A Poor: <50% ground cover or heavily grazed with no mulch; Fair: 50-75% ground cover and not heavily grazed; Good: >75% ground cover and light or only occasionally grazed.
B Poor: <50% ground cover; Fair: 50-75% ground cover; Good: >75% ground cover.
C Actual curve number is less than 30; use CN = 30 for runoff computation.
D CN's shown were computed for areas with 50% woods and 50% grass (pasture) cover. Other combinations of conditions may be computed from the CN's for woods and pasture.
E Poor: Forest litter, small trees, and brush are destroyed by heavy grazing or regular burning; Fair: Woods are grazed but not burned, and some forest litter covers the soil; Good: Woods are protected from grazing, and litter and brush adequately cover the soil.
Arid and semiarid rangelands
Cover descriptionCurve numbers for hydrologic soil group
Cover typeHydrologic
condition A
A B BCD
Herbaceuous—mixture of grass, weeds, and low-growing brush, with brush the minor elementPoor808793
Fair718189
Good627485
Oak-aspen—mountain brush mixture of oak brush, aspen, mountain mahogany, bitter brush, maple, and other brushPoor667479
Fair485763
Good304148
Pinyon-juniper—pinyon, juniper, or both; grass understoryPoor758589
Fair587380
Good416171
Sagebrush with grass understoryPoor678085
Fair516370
Good354755
Desert shrub—major plants include saltbush, geasewood, creosotebush, blackbrush, bursage, palo verde, mesquite, and cactus.Poor63778588
Fair55728186
Good49687984
A Poor: <30% ground cover (litter, grass, and brush overstory); Fair: 30 to 70% ground cover; Good: >70% ground cover.
B Curve numbers for group A have been developed only for desert shrub.

Adjustments

Runoff is affected by the soil moisture before a precipitation event, the antecedent moisture condition (AMC). A curve number, as calculated above, may also be termed AMC II or , or average soil moisture. The other moisture conditions are dry, AMC I or , and moist, AMC III or . The curve number can be adjusted by factors to , where factors are less than 1 (reduce and potential runoff), while factor are greater than 1 (increase and potential runoff). The AMC factors can be looked up in the reference table below. Find the CN value for AMC II and multiply it by the adjustment factor based on the actual AMC to determine the adjusted curve number.

Adjustments to select curve number for soil moisture conditions. [3]
Curve Number (AMC II)Factors to Convert Curve Number for AMC II to AMC I or III
AMC I (dry)AMC III (wet)
100.402.22
200.451.85
300.501.67
400.551.50
500.621.40
600.671.30
700.731.21
800.791.14
900.871.07
1001.001.00

Initial abstraction ratio adjustment

The relationship was derived from the study of many small, experimental watersheds . Since the history and documentation of this relationship are relatively obscure, more recent analysis used model fitting methods to determine the ratio of to with hundreds of rainfall-runoff data from numerous U.S. watersheds. In the model fitting done by Hawkins et al. (2002) [2] found that the ratio of to varies from storm to storm and watershed to watershed and that the assumption of is usually high. More than 90 percent of ratios were less than 0.2. Based on this study, use of ratios of 0.05 rather than the commonly used value of 0.20 would seem more appropriate. Thus, the CN runoff equation becomes:

In this equation, note that the values of are not the same as the one used in estimating direct runoff with an ratio of 0.20, because 5 percent of the storage is assumed to be the initial abstraction, not 20 percent. The relationship between and was obtained from model fitting results, giving the relationship:

The user, then, must do the following to use the adjusted 0.05 initial abstraction ratio:

  1. Use the traditional tables of curve numbers to select the value appropriate for your watershed.
  2. Calculate using the traditional equation:
  3. Convert this S value to using the relationship above.
  4. Calculate the runoff depth using the CN runoff equation above (with 0.05 substituted for the initial abstraction ratio).

See also

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References

  1. 1 2 3 United States Department of Agriculture (1986). Urban hydrology for small watersheds (PDF). Technical Release 55 (TR-55) (Second ed.). Natural Resources Conservation Service, Conservation Engineering Division.
  2. 1 2 Hawkins, R.H.; Jiang, R.; Woodward, D.E.; Hjelmfelt, A.T.; Van Mullem, J.A. (2002). "Runoff Curve Number Method: Examination of the Initial Abstraction Ratio". Proceedings of the Second Federal Interagency Hydrologic Modeling Conference, Las Vegas, Nevada. 42 (3): 629–643. doi:10.1111/j.1752-1688.2006.tb04481.x. S2CID   130013737.
  3. Ward, Andy D.; Trimble, Stanley W. (2004). Environmental Hydrology. Boca Raton, Florida: CRC Press LLC. ISBN   9781566706162.