United
States
Technology & |
![]() |
Methods for Inventory and Environmental Risk Assessment of Road Drainage Crossings |
![]() |
||
7700—Transportation
Systems 2500—Watershed and Air Management December 1998 9877 1809P—SDTDC Revised for Internet July 2003 |
Sam A. Flanagan
Geologist
Michael J. Furniss, Hydrologist
Tyler S. Ledwith, Hydrologist
Stan Thiesen, Geologist
Michael Love, Engineer
Kemset Moore, Hydrologist
Jill Ory, Hydrologist
USDA Forest Service
Six Rivers National Forest
Pacific Southwest Region
Introduction
Road-stream crossings
and ditch-relief culverts are commonly sites of ongoing or potential erosion.
Erosion from failures of these structures can be a source of significant impacts
to aquatic and riparian resources far removed from the initial failure site.
The inventory and assessment of culvert installations are necessary for locating
sites with potential impacts to aquatic and riparian environments for possible
treatment. Locating those sites with the greatest potential for causing adverse
impacts and reducing or eliminating those impacts is critical in prioritizing
restricted funding available for road maintenance and repair.
Procedures for assessing the erosional hazards and risks to aquatic and riparian ecosystems of road-stream crossings, ditch-relief culverts, and other road-drainage features are discussed. Hazard assessment is the estimation of the potential physical consequences (e.g., volume of material eroded) for one or more sites. Incorporation of the potential impacts to valued resources, or endpoints, is environmental risk assessment. This approach is intended to suggest appropriate data and assessment techniques that can be adapted to a wide range of settings.
This guide is designed to:
The assessment methods discussed are useful for a screening approach where data on a large number of drainage features are collected, typically at the scale of a watershed less than 500 km². Culverts, the focus of this guide, are the most common structure employed for wildland road-stream crossings and ditch drainage. However, the procedures discussed are also adaptable to other road-drainage structures.
The following road crossing terminology is used:
Road-stream crossing is where a road crosses a natural drainage channel or unchanneled swale.
Stream crossing is used synonymously with road-stream crossing.
Cross drain is a ditch-relief culvert or other structure such as a grade dip designed to capture and remove surface water from the traveled way or other road surfaces.
Crossing is used here to cover both stream crossings and cross drains.
Hydrologically connected road is a segment of road that is connected to the natural channel network via surface flowpaths.
The
Environmental Risk of Road-Stream Crossings and the Need for Inventory and Assessment
Road-stream crossings are common throughout wildland road systems. Road-stream
crossings have enormous potential for erosional consequences. For federally
managed lands in the Pacific Northwest, the Forest Ecosystem Management Assessment
Team (FEMAT) (1993) estimated that although 250,000 road-stream crossings exist,
systematic analysis of cumulative environmental risks are rare. Most of these
structures can function as earthen dams, with a small hole or culvert at the
base. Such configurations are rare in natural channels. In the absence of maintenance
and replacement, all of these structures will eventually fail as they plug or
the culvert invert deteriorates. Financial resources for maintaining or upgrading
the existing network are limited. Therefore, locating sites that pose the greatest
risk to aquatic and riparian resources and treating them to reduce hazards and
environmental risks is vital.
Crossings can cause both chronic sedimentation impacts during typical water years and catastrophic effects when floods trigger crossing failure (figure 1). When water overtops the road fill, it may divert down the road or ditch and onto hillslopes unaccustomed to concentrated overland flow and produce erosional consequences far removed from the crossing. Erosion from diverted stream crossings in the 197-km² lower Redwood Creek basin in northwestern California accounted for 90 percent of the total gully erosion (Weaver et al. 1995). Best et al. (1995) found that road-stream crossings accounted for 80 percent of all road-related fluvial erosion in a 10.8-km² tributary basin to lower Redwood Creek. Erosion from failed or improperly designed road-drainage structures accounted for 31 percent of the total sediment inputs (Best et al. 1995). Identifying those sites with the greatest potential of erosional consequences (e.g., potential to divert stream flow) can direct restoration efforts.
Abandoned roads represent an unknown, but potentially high, erosional hazard. Failures often go unseen in the absence of inspection or maintenance. Where stream diversions have occurred, erosion is likely to continue for decades as new stream channels are incised. Determining the extent of abandoned roads in an area is necessary for assessing the entire road-related erosional hazards.
Previous assessments of existing road-stream crossings have examined the hydraulic capacity of the culverts (Piehl et al. 1988 and Pyles et al. 1989). These results show that culverts were installed without consistent design standards and that design flow capacities were often below standards established by the Oregon Forest Practice Rules (Piehl et al. 1988). In a recent survey of road-stream crossings in Redwood Creek, CA, 60 percent of the culverts could not pass a 50-year peak flow (Redwood National Park, unpublished data).
Nonstream crossing drainage structures are also of concern. These include ditch-relief culverts, waterbars, and rolling dips. An expanded discussion on rolling dips is provided by the companion document in this series, “Diversion Potential at Road-Stream Crossings” (Furniss et al. 1997). Detailed design considerations for dips are provided by Hafterson (1973). Not only do these structures present similar hazards and environmental risks, such as those discussed for road-stream crossings, they are also capable of extending the natural drainage network, if not properly configured (Wemple 1994). Extension of the drainage network occurs when ditch flow and road-surface runoff are conveyed to a stream channel. Where roads are hydrologically connected to the drainage network, road-produced sediment and runoff are delivered directly to the channel network. Hydrologic connectivity often involves extensive gullies linking roads and channels (Wemple 1994).
Assessing the hazards and environmental risks of crossings involves substantial inventory costs. Roads are not a direct reflection of the underlying landscapes. Thus, remote sensing techniques cannot provide necessary information on existing hazards. Simply locating the installed system by using remote sensing techniques provides little information on potential erosional consequences. Several techniques are presented for inventorying roads and crossings at various levels of effort.
![]() |
Figure
1—Road-stream crossings can alter channel form and processes.
They are sites of both chronic and catastrophic erosion. |
What
are the Environmental Risks of Road-Drainage Features?
It is useful to think about the environmental risk of road-stream crossings,
cross drains, and other drainage structures (e.g., waterbars and rolling dips)
in four parts (figure 2). The four parts of the environmental risk assessment
model used in this guide are:
Inputs: The materials presented to the crossing—water, organic debris, sediment, and fish. (This document does not discuss fish/amphibian passage.)
The hazard of a crossing failure is a combination of the inputs and the structure’s capacity to accommodate them, which defines the probability of exceedance, and the potential physical consequences of exceedance. Capacity must be considered separately from the potential erosional consequences. In the absence of maintenance or replacement, all crossings will eventually fail. Therefore, it is imperative that potential erosional consequences not be ignored simply because capacity has been judged “sufficient.” Alternately, a site with a very limited capacity may possess relatively little erosional hazard. Treatments to increase capacity at such a site may be impractical and ineffective in reducing the cumulative environmental risk of crossings (figure 3).
Environmental risk of a crossing is the combination of the existing hazard and endpoints. Environmental risk assessment identifies the relative likelihood of a site adversely affecting one or more endpoints.
![]() |
Figure 2—Road-stream crossing and cross drain environmental risk can be expressed as a four part model consisting of inputs—those materials delivered to the culvert; capacity—the ability of the structure to maintain the natural transport regime of the delivered inputs; physical consequences—the erosional and/or depositional consequences occurring when capacity is exceeded; and endpoints—potentially affected aquatic and riparian resources, human uses, and other values. |
![]() |
Figure 3—The physical consequences of this road-stream crossing failure are low when compared to sites with much larger fills or where stream diversions occurs. |
Table
1—Summary of existing drainage crossing assessment techniques
reviewed in text. |
|||||||
---|---|---|---|---|---|---|---|
Technique |
Inputs |
Capacity |
Physical
consequences |
Endpoints |
Diversion
potential |
Expertise
required (H-M-L) |
Comments |
Umpqua N.F. Shockey (1996) | X |
X |
X |
X |
H |
Diversion potential not explicit but can be incorporated into physical consequences | |
Umpqua N.F. Hanek (1996) | X |
X |
X |
X |
H |
Drainages less than 0.4 km² are considered low effect | |
Siskiyou N.F. Weinhold (1996) | X |
X |
X |
H |
Determining failure potential requires engineering/geology skills | ||
Payette N.F. Inglis et al. (1995) | X |
X |
M |
Intermittent streams are excluded | |||
Mt. Baker-Snoqualmie N.F. (1997) | X |
X |
X |
M |
A road segment assessment with crossings as one component | ||
Huron-Manistee N.F. Stuber (1996) | X |
L |
Primarily assesses road surface erosion | ||||
Kennard (1994) | X |
X |
X |
M |
Significant features potentially lost in matrix | ||
Stanislaus N.F. (1996) | X |
L |
A road segment approach with emphasis on road location and configuration |
Broda and Shockey (1996) of the Umpqua National Forest use a “risk rating table” (table 2) to rank road-stream crossings on the Umpqua National Forest.
Using this approach, each crossing is assigned a score from 1 to 5. Factors considered in this approach are shown in table 2.
Hazards
Physical consequences/endpoints
Table
2—Umpqua NF risk rating table. |
||||
---|---|---|---|---|
Hazard |
||||
low |
medium |
high |
||
Physical consequences/endpoints | low | 1 |
2 |
3 |
medium | 2 |
3 |
4 |
|
high | 3 |
4 |
5 |
Hanek (1996), also of the Umpqua National Forest, uses a similar approach (table 3). Factors considered in this approach in order of decreasing priority are:
Effects
Hazards
Table
3—Umpqua NF hazards versus effects approach. |
||||
---|---|---|---|---|
Effects |
||||
low |
medium |
high |
||
Hazards | low | 1 |
2 |
3 |
medium | 2 |
3 |
4 |
|
high | 2 |
4 |
5 |
An approach used by Weinhold (1996) of the Siskiyou National Forest involving potential eroded fill volume is shown in table 4.
Here, high failure potential is represented by an undersized culvert, evidence of past plugging by debris, and slope and channel having the potential to generate debris flows.
Table
4—Siskiyou NF hazard rating table. |
||
---|---|---|
High Failure
Potential Volume > 150 m³ High Hazard |
High Failure
Potential Volume 40 to 150 m³ High Hazard |
High Failure
Potential Volume < 40 m³ Low Hazard |
Moderate
Failure Potential Volume > 150 m³ High Hazard |
Moderate
Failure Potential Volume 40 to 150 m³ Moderate Hazard |
Moderate
Failure Potential Volume < 40 m³ Low Hazard |
Low Failure
Potential Volume > 150 m³ Moderate Hazard |
Low Failure
Potential Volume 40 to 150 m³ Low Hazard |
Low Failure
Potential Volume < 40 m³ Low Hazard |
Stuber et al. (1994), working in the Huron-Manistee National Forest in Michigan, assigns each crossing a severity ranking based on a point system (table 5).
Scores over 30 points are placed in the severe category. Scores under 15 points are considered to be minor.
Table
5—Huron-Manistee NF point system. |
||
---|---|---|
Factors
contributing to severity |
Condition |
Points |
Road surface | Paved Gravel Sand and Gravel Sand |
0 3 6 9 |
Length of approaches (total) | 0-10 m 10-300 m 301-600 m > 600 m |
1 3 5 7 |
Slope of approaches | 0 % 1-5 % 6-10 % > 10 % |
0 3 6 9 |
Width of road, shoulders, and ditches | < 5 m 5-7 m > 7 m |
0 1 2 |
Extent of erosion | Minor Moderate Extreme |
1 3 5 |
Embankment slope | Bridges > 2:1 slope 1.5-2:1 Vertical or 1:1 slope |
0 1 3 5 |
Stream depth | 0-1 m > 1 m |
1 2 |
Stream current | Slow Moderate Fast |
1 2 3 |
Vegetative cover of shoulders and ditches | Heavy Partial None |
1 3 5 |
The Mt. Baker-Snoqualmie National Forest (1997) uses a road segment approach where crossings are one component of the method (table 6). An effects-of-failure score (K) is a combination of sediment delivery and valued resources. It functions as a multiplier to the failure potential score.
Table
6—Mt. Baker-Snoqualmie NF road segment approach. |
|||
---|---|---|---|
Potential
for Failure (A-I) |
(SUM
A-I) |
(Effects
of Failure) |
Risk
Rating |
A B C D E F G H I *Note that effects of failure is a multiplier |
J |
(x)
K* |
=
(J * K) |
A = Snow Zone: Location of road segment and contributing upslope area. Washington State rain-on-snow-zones. Rain on Snow = 2; Rain or Snow Dominated = 1; Lowland = 0; Highland = 0. | |||
B = Geology and soil stability: Percent of area occupied by road on unstable soils, highly eroded glacial, alluvial fan, or recessional outwash deposits and highly fractured and unstable base geology. Under 10 percent = 0; 10-30 percent = 2; 31-50 percent = 3; Over 50 percent = 5. | |||
C = History of road associated failures from sources which have not been corrected: None = 0; Some = 1; Repeated = 2. | |||
D = Major stream crossings: Number of large (> 900 mm) or deep (> 1 m over top of pipe inlet) culverts. None = 0; One = 1; More than one = 2. | |||
E = Number of stream channel crossings / 150 m of road: 0-1 = 0; 2 = 1; 3+ = 2. | |||
F = Method of construction: Generally, if constructed before 1970 assume sidecast excavation, if constructed after 1970 assume layer placement excavation. Full Bench = 0; Layer Placement = 1; Sidecast = 2. | |||
G = Average sideslope where at road: Related to both potential and consequence, but yesed here to indicate potential for failure. Under 40 percent = 0; 40-60 percent = 2; Over 60 percent = 3. | |||
H = Vegetative cover: Pecent of area above the road segment (basically the contributing area) having a stand of over 35 years. Over 70 percent = 0; 50-70 percent = 1; 20-49 percent = 2; Under 20 percent = 3. | |||
I = Road stacking: Road(s) upslope from this road? No road segments above = 0; the road is at a mid-slope location, or road segment above is on ridgetop = 1; One road segment above = 2; Two or more segments above = 3. |
Determining K involves the use of a short dichotomous key (table 7). The score is based on the proximity of the road to streams, wetlands, infrastructure, or other valuable natural resources.
Table
7—K values for Mt. Baker-Snoqualmie NF road segment approach. |
|||||||
---|---|---|---|---|---|---|---|
Percent
Sideslopes |
|||||||
<
20 % |
21-40% |
>
40% |
|||||
Distance to stream (m) | Int¹ Stream | Per² Stream | Int¹ Stream | Per² Stream | Int¹ Stream | Per² Stream | |
Bench or terrace between road & stream, wetlands, infrastructure, or other valuable resource. | N/A | 1 | 1 | 1 | 1 | 1 | 1 |
No bench or terrace present between road & stream, wetlands, infrastructure, or other valuable resource. | < 15 15-150 150-300 300-450 > 450 |
1 1 1 1 1 |
2 1 1 1 1 |
2 2 2 1 1 |
3 3 2 1 1 |
3 3 2 2 1 |
4 4 3 3 2 |
¹ Intermittent
stream ² Perennial stream |
Inglis et al. (1995) of the Payette National Forest ranks the condition of stream crossings as either high, medium, or low. Crossings are rated high priority if three or more of the following criteria are met:
Medium priority crossings have to meet at least two of the following criteria:
All other crossings needing work are listed as low priority.
The following matrix (table 8) is part of a larger road assessment package developed by Kennard (1994) for the Weyerhauser Corporation. A “weight of evidence” approach shown below is taken to assess the hazard from combinations of indicators.
Table
8—Weyerhauser Corporation weight of evidence approach. |
||||
---|---|---|---|---|
Indicators |
Initiation
hazard |
|||
Low | Medium | High | ||
Hydrologic factors | Ponding | (0.5) < (HW/D) | (0.5) < (HW/D) ≤ (1.0) | (1.0) < (HW/D) |
Rust line | (1/3) < (R/D) | (1/3) ≤ (R/D) ≤ (1/2) | (1/2) < (R/D) | |
Culvert size | (1) < (D/BMP) | (0.7) ≤ (D/BMP) ≤ (1) | (D/BMP) < (0.7) | |
Culvert blockage | 0% |
> 0 %
to < 20 % |
≥ 20
% |
|
Potential blockage | clean out > 30 m | clean out 15 to 30 m | clean out ≤ 15 m | |
Lanuse and landscape factors | Channel gradient (low) | < 2 or ≥ 20 degrees | 2 to < 20 degrees | * |
Upstream fill height | ≤ 2 meters | 2-5 meters | > 5 meters | |
Fillslope surface gradient | < 25 degrees | 25-35 degrees | > 35 degrees | |
Channel width | 40 meters < (CW) | 40 ≤ (CW) ≤ 15 | (CW) > 15 m | |
Entrenchment | (VD) < 2 (bfd) | (VD) ≥ 3 (bfd) | * |
|
Channel gradient (high) | < 20 degrees | 20 to ≤ 30 degrees | > 30 degrees | |
Maximum fill height | < 2 meters | 2-5 meters | > 5 meters | |
Fillslope surface gradient | < 25 degrees | 25-35 degrees | > 35 degrees | |
Confinement | (VW/CW) > 2 | 2 ≥ (VW/CW) > 1 | (VW/CW) = 1 | |
The following are abbreviations used in the weight of evidence approach. HW/D = Headwater depth (HW) to culvert diamter (D) ratio R/D = Culvert rust line height (R) to culvert diameter (D) ratio D/BMP = the ratio of the culvert diameter (D) to the estimated needed diameter (BMP). In this case, the estimated needed diameter is based on the 50-year flood. CW = channel width VD = valley depth bfd = bankfull discharge VW/CW = the ratio of valley width (VW) to channel width (CW) * = not documented in the approach |
Table
9—Stanislaus NF road rating system |
|
---|---|
Factor | Score |
1. Location | 0 = road within 30 m of base of slope |
1 = bottom 1/3 of slope | |
2 = middle 1/3 of slope | |
3 = top of slope | |
2. Alignment | 0 = 20 percent + grades |
1 = grades 15-20 percent | |
2 = 10-15 percent | |
3 = grades < 10 percent | |
3. Design | 0 = diversion potential exists |
1 = insloped, including berms | |
2 = outsloped | |
3 = paved | |
4. Maintenance | 1 = level 1 |
2 = level 2 | |
3 = level 3+ | |
5. Soils | 1 = granitic |
2 = volcanic | |
3 = meta-sed | |
6. Topography | 1 = slope 40 percent+ |
2 = 30-40 percent slope | |
3 = slope < 30 percent | |
7. Hydrology | 1 = rain on snow 900-1,500 m+ |
2 = rain | |
3 = snow 1,500 m+ | |
8. Vegetation | 0 = in burn area, below clear cut, or lavacap |
1 = barren | |
2 = grasses/brush | |
3 = timber canopy | |
Total Score: | < 8 = high hazard |
8-16 = warrants professional review | |
> 16 = OK |
Table 10-—Summary of suggested data fields for various levels of road-stream crossing and cross drain inventory and assessment. |
![]() |
![]() |
![]() |
![]() |
![]() |
Suggestions for Inventory and
Assessment
The road-drainage
network can be inventoried at various intensity levels, depending on objectives
of the inventory, and on time and monetary constraints. A baseline inventory
will, at a minimum, provide the locations of the installed drainage system.
At the other end of the spectrum is a complete crossing environmental risk assessment
that addresses all components displayed in figure 2. Four increasingly intensive
levels of inventory and assessment are presented. These suggested inventory
techniques are synthesized from the review of existing techniques presented
in the previous section and from other studies examining the performance of
road-stream crossings.
Materials
Required
All that is required for a consequences inventory is a tape for measuring culvert
diameter and a means of locating the site (e.g., a topographic map or aerial
photo).
For more intensive hazard or environmental risk assessments, a clinometer or hand level and stadia rod is required to measure slopes of fills and culverts. A rangefinder is useful for obtaining potential diversion distances or for very large fills.
The drainage area is most easily
determined by using a topographic map, however, locating the site on aerial
photos as well will facilitate potential geographic information system (GIS)
applications. Site location can also be accomplished with a global positioning
system (GPS), and this approach is discussed on page 18.
Time
Required
The time required for the various levels of inventory and analysis will vary
depending on the access, frequency of drainage structures, and method of data
collection (i.e., use of a global positioning system, which is discussed in
the next section). Estimates presented in table 11 assume vehicular access,
an automated data logger, and a GPS.
Using
a Global Positioning System for Crossing Inventory
The advantages of using a GPS include:
The disadvantages include:
A crossing inventory can be conducted with or without the use of a GPS. The crossings must be accurately located so that the true drainage area can be calculated. This can be aided by using a GPS, although it is still worthwhile to have the location plotted on a topographic map and an aerial photo as backup and confirmation. If a GPS is not available, the topographic map and aerial photo should be sufficient to locate the crossing. Unfortunately, some roads are not shown on topographic maps or are only approximately located. Without a GPS, this situation is probably best addressed by plotting the location on an aerial photo and transferring that point onto an orthophoto or a digital orthoquad.
Data
Analysis and Interpretation
Using
a Geographic Information System in Crossing Assessment
The advantages of using a GIS for a crossing assessment include:
The primary disadvantage is that GIS experience is required to manipulate the data.
Once the crossing locations (points), drainage areas (polygons), and associated information (attributes) are in a GIS system, they are much easier to compare spatially. The crossing points can have attributes added from existing polygon coverages such as: bedrock geology, geomorphology, hillslope gradient, slope position, soils, vegetation, and precipitation. These attributes may help to predict characteristics of uninventoried crossings. Crossings can be checked for spatial accuracy on the screen by using digital orthoquads or by comparing the crossing locations to road-stream or road crenulation (the declivity where a channel may occur as expressed by contour lines) intersections. The crossing locations and attributes such as the hazard rating can be plotted in combination with other coverages like roads, crenulation, and slope position to show where the crossings are located in relation to these features. This can be useful for spatially analyzing the information. For instance, a plot may indicate that most of the higher hazard crossings are located in lower slope positions on certain geologic types in a specific portion of a watershed. On the other hand, a higher slope position on a different geologic type may have very few crossings, with those being of low hazard.
Calculating
Hydraulic Capacity
The hydraulic capacity of a culvert is the design flow it can accommodate at
a specified headwater depth (the depth of water at the inlet with respect to
the base of the culvert inlet). Capacity can be determined from nomographs presented
in Normann et al. (1985) for a given headwater depth. For dented inlets, the
diameter should be adjusted accordingly. Piehl et al. (1988a) used an equation
to approximate the nomograph for inlet-controlled, circular, and corrugated
metal culverts.
With this equation, inventory data incorporated into a computer spreadsheet allows rapid computing of culvert capacities. Based on hydrologic data collection for each site, plotting flows for various recurrence intervals can generate a flood frequency curve and express culvert hydraulic capacity as an exceedance probability or a recurrence interval (T) (figures 4 and 5). This method is not suitable for cross drains or small drainages where the drainage area cannot be accurately delineated. For relatively large culverts in small drainages, calculation and extrapolation can produce unreasonably large recurrence intervals (or improbably small exceedance probabilities). For convention, hydraulic capacity has a maximum value of T = 250 years (p = 0.004).
Caution must be exercised when interpreting results. Discharges will vary depending on the method used to estimate peak flows, and the error for individual design flow estimates can be large. However, if considered as a relative ranking for all the road-stream crossings in an assessment area, the results can suggest possible high-priority sites based on probability of exceedance. Because hydraulic exceedance may not be the principle mechanism of crossing failure (figure 5), hydraulic capacity assessment should be characterized as a minimum screening level for hazard assessment. If the culvert cannot pass the design peak flow, it is likely that associated debris and sediment cannot be passed either.
Increasing culvert hydraulic capacity typically requires either increasing pipe size or adding culverts or end treatments such as side tapered inlets (refer to AISI 1994 for a listing of end treatments).
Woody
Debris Capacity
Plugging of culverts by organic debris is a common failure mechanism. Debris
lodged at the culvert inlet reduces hydraulic capacity and promotes further
plugging by organic debris and sediment. Although sediment accumulation is often
deemed the cause of failure, excavation sometimes reveals blockage by one or
more pieces of wood. Furthermore, plugging may not be caused by impeded transport
of large debris, but by small limbs and twigs, often not much longer than the
culvert diameter (figure 6), readily transported by frequently occurring storms
(Flanagan in review).
Stream channel width influences the size distribution of transported woody debris (e.g., Lienkaemper and Swanson 1987, Nakamura and Swanson 1994, Braudrick et al. 1997). In low-order channels of northwest California, 99 percent of transported wood greater than 300-mm long was less than the channel width (Flanagan in review). These findings suggest that culverts sized equal to the channel width will pass a significant portion of potentially pluggable wood. However, the remaining 1 percent of the pieces remain a hazard. Thus, a wood-plugging hazard can be reduced, but not eliminated. The woody debris capacity of a crossing can be assessed by taking the ratio of the culvert diameter to the channel width (w*). Crossings with low values of w* are more prone to debris plugging. Using the northwest California coast region as an example, sizing culverts equal to the channel width will, in most cases, satisfy a 100-year design peak flow (figure 7). However, on wider channels (e.g., > 2 m), the cost of employing this strategy can be prohibitive.
The configuration of the inlet basin
will also influence wood plugging. Inlet basin design should strive to maintain
the preexisting channel cross section, planform, and stream gradient. Channel
widening upstream of the inlet is typically undesirable (figure 8). During ponded
conditions (HW/D > 1), debris in transport accumulates in the eddies formed
by the widened channel. Piece rotation in the eddies promotes a perpendicular
alignment to the culvert inlet. Furthermore, when the inlet is fully submerged,
wood accumulates in the pond. When the inlet is reexposed, it is often presented
with an enormous, often interlocking, raft of debris (figure 9).
Channel approach angle, or culvert skew, also influences debris lodgment (figure
8). Where the channel enters the culvert at an angle, debris lodgment is increased
(Weaver and Hagans 1994). During runoff events, wood in transport cannot rotate
parallel to the culvert and pass through it. Cross drains are susceptible to
this constriction because they often possess high approach angles (Garland 1983
and Piehl et al. 1988b).
![]() |
Figure 4—Determining the design storm capacity of existing culvert installations requires the use of a flood estimator and the hydraulic capacity of hte culvert adjusted for any denting or crushing of the inlet. Using an equation presented by Piehl et al. (1988), this procedure is easily automated in a spreadsheet or similar application to assess a large number of culverts. Refer also to figure 5. |
![]() |
Figure 5—Culvert hydraulic capacity can be expressed as a recurrence interval (T). In this example, two design discharges are calculated for a 900-mm culvert. The discharge at HW/D = 1 is assigned a recurrrence interval of 31 years (exceedence probabiligy = 0.032). The discharge necessary to overtop the road (in this case, the fill height above the inlet invert is 1.5 m) is assigned a recurrence interval of 149 years (exceedence probability = 0.0067). This example flood frequency was generated using a regional flood estimator for northwest California (Waananen and Crippen 1978). |
![]() |
Figure 6—Woody debris lodged at culvert inlets is often only slightly longer than the culvert diameter. Note that wood length is expressed as a ratio to culvert diameter (n = 50). |
Sediment
Capacity
Three types of sediment inputs are discussed here: fluvial transport, sediment
“slugs,” and debris flows (a viscous, flowing mass of water, sediment,
and woody debris).
In general, culverts are efficient conveyors of sediment because of their narrow and relatively smooth, uniform cross section. Fluvially transported sediments usually present little hazard to stream crossing installations. Burial of the inlet by fluvially transported sediment is often the result of woody debris lodged at the inlet. Thus, sediment deposition is often a consequence, not a cause, of the failure. Culvert design and assessment of the maximum potential particle size likely to be mobilized during peak flows have been incorporated to pass loads, ensuring sufficient diameter and slope. In order to pass sediment, culverts should be set at a grade related to the stream channel (Weaver and Hagans 1994). An index value for the sediment plugging hazard is the ratio of culvert slope to channel slope (s*). This assumes that relatively flat culverts on steep channels are more prone to sediment accumulations than steeper culverts.
Rapid, more catastrophic inputs of sediment (“sediment slugs”) are typically responsible for sediment-caused failure. Small failures from over-steepened cutslopes near the inlet may bury the entrances of cross drains and small stream crossings. Small culverts with relatively small inlet basins adjacent to steep cutslopes are most prone to this. However, predicting where such failures are likely to occur is difficult. If evidence suggests that failure of adjacent slopes is likely, the site should be further inspected. During the design phase, inlets should be located away from unstable cut slopes. While enlarging the inlet basin to capture debris is an option, it should be implemented only where no other treatment is possible because enlarged basins may alter stream hydraulics and promote woody debris and sediment deposition.
Assessment of debris flow hazard is difficult. Morphometric characteristics of debris flows and initiation areas are discussed by Costa and Jarret (1981) and Benda (1990). Debris flow hazard can be estimated from aerial photographs, digital terrain data, and evidence at the site (e.g., Chatwin et al. 1994). Debris flows interact with road-stream crossing fill prisms either by removing or impounding against the fill. Fill volumes should be reduced to minimize replacement or excavation costs. Vented fords can effectively handle debris flows by minimizing the intervention in natural stream processes from road fill. Another alternative is “hardening” the fill to minimize the chance of washout.
![]() |
Figure 7—Hydraulic capacity (expressed as a recurrence interval) of 22 culverts with diameters equal to the channel width. Such a strategy to facilitate woody debris passage must be weighed with the costs of installing a large culvert on a wide channel. Costs are of less concern on smaller channels. Inlet modifications to promote passage can reduce the need for large culvert diameters. Data are from northwestern California. |
![]() |
Figure 8—Inlet basin plan view. Inlet basins that maintain the natural channel configuration promote debris transport and passage through the culvert. Where the flow is allowed to spread laterally, debris can accumulate and increase the chance of plugging. Furthermore, debris rotation is promoted in the turbulent eddies of the widening flow. Similarly, where the channel abruptly changes direction, wood lodgment is enhanced. This is a common configuration for cross drains. |
Erosional
Consequences
When crossing capacity is exceeded, water, debris, and sediment accumulate in
the inlet basin. If capacity exceedance is of sufficient magnitude, overtopping
of the fill will occur with associated erosional consequences. Estimating the
potential erosional consequences is relatively straightforward. The path the
overflowing water takes during capacity exceedance will affect the magnitude
of consequences. Erosion from flows that overtop the fill and reenter the channel
near the outlet is constrained by the amount of road fill material spanning
the channel. Calculating fill volume is discussed below. Where the road slopes
away from the crossing in at least one direction, overtopping flows can be diverted
out of the channel and away from the site via the road or ditch (figure 10).
Recognizing diversion potential is important; large volumes of material may
be eroded as flows enlarge the inboard ditch, overwhelm adjacent crossings,
enlarge receiving channels and/or flow onto hillslopes unaccustomed to concentrated
overland flows. For a more complete discussion of diversion potential, refer
to the companion document in this series, “Diversion Potential at Road-Stream
Crossings” (Furniss et al. 1997).
![]() |
Figure 9—In areas where woody debris is entrained in streamflow, crossings that pond water will pose a greater chance of plugging than crossings that do not pond water. Wood accumulates in the ponded area and plugging is likely when flows drop and expose the inlet to the mass of debris. |
![]() |
Figure 10—Diversion of streamflows at stream crossings can have large erosional consequences far removed from the initial failure site. Here, water diverted along the inboard ditch for several hundred meters initiated additional crossing failures along the way. Photo courtesy of the Siskiyou National Forest. |
Estimating
Fill Volume
Fill volume calculations are required for hazard assessments and environmental
risk assessments. The procedure for calculating fill volume described is only
appropriate for estimating the quantity of potentially erodible material or
the amount of material to be excavated for treatment. As it is assumed that
crossing failure removes the entire fill prism, and an approximation of this
value is used for assessing erosional consequences, this method should not be
used for contract specifications, which require more detailed surveys. This
volume is designed to help with comparisons among sites. It does not include
the potentially erodible aggraded stream reach upstream of crossings set above
grade or the volumes associated with offsite impacts should the crossing fail.
Further, the single measurement of fill width (Wf) along the road
centerline will often overestimate the upstream portion of the fill (Vc)
and underestimate the downstream portion (Vd). A more accurate volume
can be calculated if the fill width is taken at both the inboard and outboard
edge of the road. The average of these two measurements is used for calculating
the volume under the road surface (Vr).
To calculate fill volume (see figure 11) measure:
Wf = Width of the fill along the road centerline and perpendicular to the culvert axis
Wc = Width of flood prone channel
Lu = Fill slope length from inboard edge of road to inlet invert
Su = Slope of Lu (in degrees). If field data are collected in percentages, conversion to degrees is accomplished by using the arc tangent function.
The subscript “d” in
the following equations refers to the above measurements taken on the downstream
portion of the road fill.
(1) Upstream prism volume (Vu):
Vu= 0.25(Wf + Wc)( Lu cos Su)(
Lu sin Su)
(2) Downstream prism volume (Vd):
Vd= 0.25(Wf + Wc)( Ld cos Sd)(
Ld sin Sd)
(3) Volume under road surface (Vr):
Vr= (Hu + Hd / 2) (Wf+ Wc
/ 2) Wr
where:
Hu= Lu sin Su
and
H= L sin Su
(4) Total fill volume (V):
V= Vu+Vd+Vr
![]() |
Figure 11—Crossing fill measurements—Solid lines are measured values, dashed lines are calculated. Note that Ld often extends below the culvert outlet. The method presented here is intended for estimating fill volume. Some underestimation will occur on the downstream side while the inlet portion will be overestimated. |
Hydrologic
Connectivity—Assessing Chronic Erosion Potential
Cross drains represent a special case for erosional consequences. In addition
to being subjected to the inputs discussed above, cross drains concentrate water
draining from the road surface and intercept groundwater at the cut slope. This
water is often conveyed to unchanneled hillslopes where a gully may form. This
newly formed channel may connect to the natural channel network, extend it,
and contribute road-derived sediment and additional surface runoff to the aquatic
ecosystem. During the inventory process, cross drains with gullies or sediment
plumes extending to a natural channel should be documented for possible treatment.
Length of road segments connected to the natural channel network are summed, and the proportion of the road network that is hydrologically connected is determined. Individual roads with high connectivity can be targeted for “disconnecting” by the appropriate treatment (e.g., grade dips or outsloping).
Channel network extension caused by roads can also be calculated if the ditch length and road-caused gully/plume extent below the road is known. The proportional extension of the drainage network may be used to locate areas where the natural hydrologic regime is most affected.
Assessment
Procedure
Assessments may proceed once the inventory and the calculations required for
the level of inventory are complete. Techniques for each level of inventory
are described below.
Connectivity/cross
drain inventory
A connectivity inventory will result in a list of road segments that are hydrologically
connected to the channel network. This level of inventory does not prioritize
segments. Treatments to “disconnect” individual road segments will
be based on availability of funds and transportation needs.
Consequences
inventory
A consequences inventory produces a list of sites with diversion potential.
Treatments to eliminate diversion potential will be based on availability of
funds and transportation needs. Prioritizing sites further can be based on potential
length of diversion and on receiving features.
Hazard
assessment
For hazard assessment, sites are assigned a score based on several elements.
For hazard data, which have been compiled into a spreadsheet or database, scores
can be assigned by sorting on each of the elements or using an if-then
command. The scoring system suggested below is meant to provide a flexible means
of evaluating crossings. The user can adjust scores and add other factors to
suit the inventory needs.
Hazard Score = Inputs + Capacity + Consequences
The inputs and capacity scoring elements are:
For consequence scores, crossings with stream diversion potential take priority over nondiversion potential culverts because stream diversion typically results in much greater eroded volumes.
Sites are prioritized based on their relative scores. However, significant features can become lost in the tallying of a hazard score. For example, a site with a high diversion potential score may have very low scores for the other elements. In this instance, the user may wish to automatically rank the site as high priority for treatment.
Environmental
risk assessment
For environmental risk assessment, the score for a crossing uses predetermined
endpoints in conjunction with the previously described hazard scores. Environmental
risk is expressed as:
Environmental risk = HazardEndpoints
The endpoints value is the sum of individual endpoints values for a site.
A site is assigned a value of one if it affects an endpoint. Some endpoints may be:
The number of endpoints is not fixed and should be discussed and agreed upon through interdisciplinary analysis. For meaningful results, at least one endpoint should be identified.
Table 12 presents an example of a preponderance table from an environmental risk assessment conducted on 383 road-stream crossings within a 295-km² area. Observations demonstrate that individual roads tend to have a majority of sites scoring similarly. This is favorable for upgrading or decommissioning programs where it is most practical to treat a single road segment or specific area.
Limitations
Final scores require careful interpretation. Significant features
(e.g., fish at the site) can be lost if no significant hazard elements exist
at the site. Although the approach is designed to make endpoints reflect the
level of environmental risk, the user must assess whether the environmental
risk scenario is realistic. This approach is meant to suggest sites
for further inspection.
Users may wish to adjust the scoring system to reflect local settings. The scoring system presented is intended to assign higher hazard values to crossings with diversion potential. Elements not playing a large role in adding to the hazard of a site based on observations in mountainous regions (e.g., s*) add less to the overall hazard score. Again, it is up to the user to assess the magnitude of the scores and to determine whether they represent the relative magnitude of hazard elements in the area of inventory.
Evaluating
consequences by road segment
An alternative to evaluating site-scale results is to generate results
for individual road segments. This approach is particularly appropriate as transportation
planning and decommissioning efforts use road segments as the unit of analysis.
Hydrologic connectivity is well suited to this approach. A similar approach
can be used for a hazard inventory as shown in table 13.
Data appropriate for assessing road segments in addition to those listed in table 13 are:
Failed
Crossing Assessments
Crossing failures provide a unique opportunity to assess design and
installation procedures. After large storm events, storm damage reports are
often generated to help assess the magnitude and extent of damage. Such efforts
should provide the opportunity for adaptive design. Discussion of adaptive features
designed to address failed culvert installations follows.
Mechanisms
of Road-Stream Crossing Failure
Determining the mechanism of failure at a site is important because
failure is likely to recur unless designs are implemented to reduce future hazard.
Table 14 lists the mechanisms, the post-failure evidence for the mechanisms,
and potential design criteria to reduce the hazards. In general, failure results
from:
Table 12—Example of a preponderance table from an environmental risk assessment of 382 road-stream crossing in the Upper North Fork Eel river, Northwest California. Note the tendency for particualr roads to have clusters of either high or low risk sites (e.g. 3S09 -3S10, and 5S30). One limitation of this approach, however, is that sites with diversion potential may be overlooked as is the case of several sites with 'low' rankings. This data set consists only of road-stream crossings and does not include cross drains (thus, hydro. conn). |
![]() |
![]() |
Table
13—Inventory data can be expressed per road segment. Such
an approach is often desirable to fit the needs of transportation planning
and estimating overall treatment costs. |
|||||
---|---|---|---|---|---|
Route number |
Number of
stream crossings/km |
Number of
cross drain/km |
Crossing
fill volume/km |
Proportion
of road hydrologically connected (%) |
Total potential
diversion distance (m) |
IS02e | 8.4 |
1.3 |
987 |
15 |
1,250 |
26N11 | 2.2 |
0.7 |
53 |
7 |
340 |
27N40 | 6.3 |
1.1 |
557 |
39 |
2,170 |
2S05p | 1.1 |
2.1 |
37 |
3 |
0 |
![]() |
Figure 12—Overtopping of the fill resulting in erosion of the roadway. Understanding the mechanisms that caused failure is useful for upgrading sites to avoid similar consequences in the future. |
![]() |
Figure 13—Burial of culvert inlets is often due to woody debris lodged at the inlet. However, determining this often requires excavation (a) or examination from the outlet (b). |
Table 14—Types and physical evidence of culvert crossing failures and potential design criteria to reduce the hazard of such a mechanism occurring again. |
![]() |
![]() |
![]() |
Literature
Cited
American Iron and
Steel Institute (AISI). 1994. Handbook of steel drainage & highway construction
products. Washington DC 518 pp.
Benda, L. 1990. “The influence of debris flows on channels and valley floors in the Oregon coast range.” U.S.A. Earth Surface Processes and Landforms. 15: 457-466.
Best, D.W., H. M. Kelsey, D.K. Hagans, and M. Alpert. 1995. “Role of fluvial hillslope erosion and road construction in the sediment budget of Garret Creek, Humboldt County, California.” In: Nolan, K.M., H. M. Kelsey, and D. C. Marron (Eds.), Geomorphic processes and aquatic habitat in the Redwood Creek Basin, Northwestern California. U.S.Geological Survey Professional Paper 1454. pp. M1-M9.
Braudrick, C.A., G.E. Grant, Y. Ishikawa and H. Ikeda. 1997. “Dynamics of wood transport in streams: A flume experiment.” Earth Surface Processes and Landforms. 22: 669–683.
Broda, K.M., and R. Shockey. 1996. Assessment and proposed upgrade alternatives of stream crossings. North Umpqua Ranger District, Umpqua National Forest, Roseburg, OR.
Chatwin, S.C., D.E. Howes, J.W. Schwab, and D.N. Swanston. 1994. A guide for management of landslide-prone terrain in the Pacific Northwest. British Columbia Ministry of Forests, Victoria, British Columbia. 220 pp.
Costa, J.E., and R.D. Jarret. 1981. “Debris flows in small mountain stream channels of Colorado and their hydrologic implications.” Bulletin of the Association of Engineering Geologists. 18: 3: 309–322.
FEMAT (Forest Ecosystem Management Assessment Team). 1993. Forest ecosystem anagement: an ecological, economic, and social assessment. U.S. Government Printing Office. 1993-073–071.
Flanagan, S.A. “Woody debris transport through low-order stream channels; implications for stream crossing failure.” MS Thesis, in review. Humboldt State University. Arcata, CA.
Furniss, M.J., M. Love, and S.A. Flanagan. 1997. “Diversion potential at road-stream crossings.” USDA Forest Service Technology and Development Program, 9777 1814-SDTDC. San Dimas, CA: U.S. Department of Agriculture, Forest Service, San Dimas Technology and Development Center. 12 pp.
Garland, J.J. 1983. “Designing woodland roads.” Oregon State University Extension Service Circular. 1137, Oregon State University, Corvallis, OR.
Hafterson, H.D. 1973. “Dip design.” Field Notes. Washington, DC: USDA Forest Service Engineering Technical Information System. 10:18 pp.
Hanek, G. 1996. Jackson Creek restoration projects—1996: project areas no. 1 and 2. Umpqua National Forest, Roseburg, OR.
Inglis, S., L.W. Wasniewski, and R.J. Zuniga. 1995. “Stream crossing inventory within anadromous drainages on the Payette National Forest.” Working Draft. February 1995. Payette National Forest. McCall, ID. 13 pp.
Kennard, P. 1994. Road Assessment Procedure (RAP)—“A method to assess and rank risks from forest road landslides.” Final Report to the Weyerhauser Company, Tacoma, WA. 33 pp.
Lienkaemper, G.W., and F.J. Swanson. 1987. ”Dynamics of large woody debris in streams in Old-growth Douglas-fir Forests.” Canadian Journal of Forest Research. 17:150–156.
Mt. Baker-Snoqualmie National Forest. 1997. “Road decommissioning and closure treatment on the Mt. Baker Snoqualmie National Forest.” White Paper. Mountlake Terrace, WA. 16 pp.
Nakamura, F., and F.J. Swanson. 1994. “Distribution of coarse woody debris in a mountain stream, Western Cascades Range, Oregon.” Canadian Journal of Forest Research. 24:2395–2403.
Normann, J.L., R.J. Houghtalen, and W.J. Johnston. 1985. Hydraulic design of highway culverts. U.S. Department of Transportation, Federal Highway Administration, Hydraulic Design Series No. 5, 272 pp.
Piehl, B.T., M.R. Pyles, and R.L. Beschta. 1988a. “Flow capacity of culverts on Oregon Coast Range forest roads.” Water Resources Bulletin. 24:3:631–637.
Piehl, B.T., R.L. Beschta, and M.R. Pyles. 1988b. “Ditch-relief culverts and low-volume forest roads in the Oregon Coast Range.” Northwest Science. 62:3:91–98.
Pyles, M.R., A.E. Skaugset, and T. Warhol. 1989. “Culvert design and performance on forest roads.” Presented at the 12th Annual Council on Forest Engineering Meeting, Coeur d’Alene, ID.
Stanislaus National Forest. 1996. Integrated resource reference road inventory. Stanislaus National Forest, Sonora, CA.
Stuber, R.J., A. Beyer, and J.R. Haveman. 1994. “Aquatic ecosystem restoration on a watershed scale in northern Michigan: a landscape approach.” Presented at the 56th Midwest Fish and Wildlife Conference, Indianapolis, IN.
Waananen, A.O., and J.R. Crippen. 1977. Magnitude and frequency of floods in California. U.S. Geological Survey. Water Resources Investigations 77-21. 96 pp.
Weaver, W.E., and D.K. Hagans. 1994. Handbook for forest and ranch roads – a guide for planning, designing, constructing, reconstructing, maintaining and closing wildland roads. Prepared for the Mendocino County Resource Conservation District, Ukiah, California. 161 pp.
Weaver, W.E., D.K. Hagans, and J.H. Popenoe. 1995. “Magnitude and causes of gully erosion in the Lower Redwood Creek Basin, Northwestern California.” In: Nolan K.M., H.M. Kelsey, and D.C. Marron (Eds.), Geomorphic Processes and Aquatic Habitat in the Redwood Creek Basin, Northwestern California. U.S. Geological Survey Professional Paper 1454. pp. LI–L21.
Weinhold, M. 1996. Road-stream crossing risk table. Siskiyou National Forest. Powers Ranger District. Medford, OR.
Wemple, B.C. 1994. “Hydrologic integration of forest roads with stream networks in Two Basins, Western Cascades, Oregon.” Master of Science Thesis. Oregon State University, Corvallis, OR.
Appendix A
An example
of road environmental risk assessment for USDA Forest Service lands in the Upper
North Fork Eel River Watershed, Six Rivers National Forest
Following are the results from inventory and assessment of road-stream crossings and cross drains on U.S. Department of Agriculture (USDA), Forest Service lands in the upper North Fork Eel River. Inventory was conducted on the 296 km² (114 mi2)portion of USDA Forest Service land. Culvert diameters at road-stream crossings (308) were typically 450 mm or 600 mm. Drainage area was defined on a 7.5 min topographic map for 207 (67 percent) of the road-stream crossings. For those sites, 63 percent are unable to pass a 100-year flood without submerging the culvert inlet, and 43 percent overtop the road fill for a 100-year peak flow.
Potential physical consequences include fill erosion and stream diversion. Median fill volume is 141 m³ per crossing with 15 percent having a greater volume than 500 m³. Forty-five percent of the road-stream crossings and 67 percent of the cross drains have diversion potential. Influencing potential physical consequences was an unstable geologic unit. Inspection of roads and crossings within this unit revealed that past failures were of much greater erosional consequence, and ongoing chronic erosion was higher than surrounding areas within relatively stable geologic settings.
The following endpoints were identified
in the analysis area:
• Anadromous fish (this applied to all sites as all failures are assumed
to have an impact)
• Fish at crossing (sites overlapping with the distribution of anadromous
fish)
• Cold water refuges (the North Fork Eel River watershed is thermally
impaired. Three subwatersheds were identified in the analysis area as important
cold water tributaries and refuge areas).
An environmental risk score was assigned to each crossing. Maps on the following pages (figures A-1 and A-2) display the distribution of road-stream crossings, cross drains, road-stream crossings with high diversion potential, and high-risk road-stream crossings. In this example, sites were assigned into the high-risk category if the score was > 100. This value should be adjusted to reflect watershed conditions and the number of endpoints considered. Note the clustering of high-risk sites along road segments in the eastern portion of the basin. This clustering effect allowed for efficient treatment efforts.
![]() |
Figure A-1 |
![]() |
Figure A-2 |
Sample Data Sheet For Road Drainage Inventory | date: _________________________ surveyor(s): ____________________ |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Culvert
type: CMP arch botomless arch plastic concrete box Diameter: _______ slope (%): _______ |
Entrance type: projecting mitered flush side tapered drop inlet other: ____________________ % dent/crush: _______________ skew angle (deg): ____________ |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fill
volume: flood prone width: ____________ Upstr. fillslope len: ____________ Upstr. fillslope (%): ____________ Road width: ____________ Fill width: ____________ |
Dnstr. fillslope
len: ____________ Dnstr. fillslope (%): ____________ |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Diversion
potential: YES NO potential distance: ____________ receiving feature: adjacent cross drain adjacent stream crossing hillslope other: ____________ |
road slope through crossing
(%): ____________ site #: ____________ site #: ____________ |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cross drains
and other drainage features: Gully below outlet? YES NO Gully Length: ____________ Avg Width: ____________ |
Connected to channel? YES NO Avg. Depth: ____________ |
![]() Project Leader San Dimas Technology & Development Center 444 East Bonita Avenue, San Dimas CA 91773-3198 Phone 909-599-1267; TDD: 909-599-2357; FAX: 909-592-2309 E-mail: mailroom_wo_sdtdc@fs.fed.us Information contained in this document has been developed for the guidance of employees of the U.S. Department of Agriculture (USDA) Forest Service, its contractors, and cooperating Federal and State agencies. The USDA Forest Service assumes no responsibility for the interpretation or use of this information by other than its own employees. The use of trade, firm, or corporation names is for the information and convenience of the reader. Such use does not constitute an official evaluation, conclusion, recommendation, endorsement, or approval of any product or service to the exclusion of others that may be suitable. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA’s TARGET Center at (202) 720-2600 (voice and TDD). To file a complaint
of discrimination, write USDA, Director, Office of Civil Rights, Room
326-W, Whitten Building, 1400 Independence Avenue, SW, Washington, D.C.
20250-9410 or call (202) 720-5964 (voice and TDD). USDA is an equal opportunity
provider and employer. |