Top Banner
Abstract Erosion and sediment transport in a temperate forested watershed are predicted with a new sediment module linked to the Distributed Hydrology-Soil- Vegetation Model (DHSVM). The DHSVM sediment module represents the main sources of sediment generation in forested environments: mass wasting, hillslope erosion and road surface erosion. It produces failures based on a factor-of-safety analysis with the infinite slope model through use of stochastically generated soil and vegetation parameters. Failed material is routed downslope with a rule-based scheme that determines sediment delivery to streams. Sediment from hillslopes and road surfaces is also transported to the channel network. Basin sediment yield is predicted with a simple channel sediment routing scheme. The model was applied to the Rainy Creek catchment, a tributary of the Wenatchee River which drains the east slopes of the Cascade Mountains, and Hard and Ware Creeks on the west slopes of the Cascades. In these initial applications, the model produced plausible sediment yield and ratios of landsliding and surface erosion , when compared to published rates for similar catchments in the Pacific Northwest. We have also used the model to examine the implications of fires and logging road removal on sediment generation in the Rainy Creek catchment. Generally, in absolute value, the predicted changes (increased sediment generation) following fires, which are primarily associated with increased slope failures, are much larger than the modest changes (reductions in sediment yield) associated with road obliteration, although the small sensitivity to forest road obliteration may be due in part to the relatively low road density in the Rainy Creek catchment, and to mechanisms, such as culvert failure, that are not represented in the model. Prediction of Mass Wasting, Erosion, and Sediment Transport With the Distributed Hydrology-Soil-Vegetation Model Colleen O. Doten a , Jordan Lanini a , Laura C. Bowling b , and Dennis P. Lettenmaier a a. University of Washington, Department of Civil and Environmental Engineering, Box 352700, Seattle, WA 98195 b. Purdue University, Department of Agronomy, Lilly Hall of Life Sciences, 915 West State Street, West Lafayette, IN 47907 5 MASS WASTING SURFACE EROSION Motivation 1 2 Model Description The Sediment Transport Component of DHSVM predicts the range and variability of catchment sediment yield in response to dynamic meteorological and hydrologic conditions. It builds on existing models such as LISA (Hammond et al., 1992) and SHETRAN (Burton and Bathurst, 1998 and Wicks and Bathurst, 1996), by including stochastic mass failure predictions and forest road erosion. It also includes concepts from the KINEROS (Woolhiser et al., 1990 and Smith et al., 1995) and EUROSEM (Morgan et al., 1998) models. DHSVM provides hydrological inputs to the model’s three components: •mass wasting, • surface erosion, including forest roads, •and channel erosion and routing. The sediment model was run on Hard and Ware Creeks with four different scenarios: •Pre-harvest scenario, with roads; • Post-harvest scenario, with roads; • Pre-harvest scenario, without roads; • Post-harvest scenario, without roads. • Vegetation for the post-harvest scenarios was as it existed in 1996, while the pre- harvest scenarios assumed homogeneous vegetation similar to the unharvested sites in 1996. • Maps show probability of failure on February 9, 1996, during a large rain-on-snow event that caused debris flows in adjacent catchments. DHSVM was run for six years in the Rainy Creek basin from 1991 through 1997. Mass wasting calculations were performed when at least 20% of the basin soils were 85% saturated. Seven mass wasting events were identified: Soil Moisture Content CHANNEL EROSION & ROUTING Channel Flow Precipitation Leaf Drip Infiltration and Saturation Excess Runoff DHSVM Q Q sed MODEL OUTPUT Vegetation management, forest road construction and forest fire impact basin sediment yield, by increasing the amount of sediment available for transport and the amount of surface water available to transport it. Increased sediment yield can cause: • sedimentation of water supplies and salmon habitat, • damage to hydraulic structures, and • exceedances of Total Maximum Daily Loads. Predictive tools would allow land managers to evaluate management options prior to implementation. A test application to the Rainy Creek catchment shows that the model produces plausible sediment yields in comparison with literature values for similar catchments. Likewise, ratios of landsliding and surface erosion rates are plausible when compared to published rates for various watersheds in the Pacific Northwest. The model was applied to compare the effects of reducing road densities on erosion and sediment transport in the Rainy Creek drainage. This scenario showed only small changes in mass wasting rates and sediment yield, and some spatial changes in mass wasting locations. Also, as road density decreased the road erosion rate/road area decreased. Larger changes were not realized, either due to the limited hydrologic changes caused by the roads, the construction of roads at low elevation along the main channel, or because road characteristics that contribute to road-related mass wasting (i.e. blocked culverts) are not represented in the model. A second scenario, representing a forest fire, showed an increase in all erosion components due to decreases in root cohesion and increases in surface runoff and thus transport capacity. Timber harvest scenarios in Hard and Ware Creeks also showed increases in mass wasting rates. The Distributed Hydrology Soil Vegetation Model (DHSVM) was developed at the University of Washington and Pacific Northwest National Laboratory for assessment of the hydrologic consequences of forest management (Wigmosta, 1994). It is a physically-based, distributed model that simulates the effects of spatially variable topograpy, soil and vegetation on the energy and water balance at each grid cell at each time step. Wildfire Effects Study Area-Rainy Creek 6 Study Area – Hard and Ware Creeks Vegetation-The major vegetative type is coniferous forest influenced by maritime climatic conditions. The basin has a forest road density of 2.4 km/km 2 . • Major debris slides occurred in Rainy Creek in 1990 and 1995/1996 during flood events Road Network Sediment Yield, Mg/ha Landslid e Rate, kg/ha Hillslo pe Erosion Rate, kg/ha Road Erosion Rate kg/ha (kg/ha road surface) kg/km of road Existing 1.05 9519 1380 35-43 (6,717–8,205) 334-408 Partially Decommissioned 1.03 9535 1380 5-6 (1,266-1,609) 46-59 None 1.00 9564 1386 0 0 The Rainy Creek basin road network is shown with road segments in black and red. Red segments were removed for the partial decommissioning scenario. Forest Roads Effects • 8 May 1992 • 18 May 1993 • 30 May 1995 • 29 November 1995 • 08 June 1996 • 17 May 1997 • 15 June 1997 The model was run with the existing road network with a scenario to evaluate changes in erosion rates due to the effects of fire. • The understory was removed from all pixels with an overstory; • LAI of pixels with an overstory was reduced to 1.0; • Root cohesion distributions were reduced by 2 kPa, simulating the loss of understory. •These modifications were held constant throughout the six-year simulation. Fire-altered vegetation model output is shown in red; baseline runs are shown in blue. 3 7 4 Topography-Elevation ranges from 630 to 2100 meters, with 300 to 600 meters of relief. Precipitation • snow-melt dominated basin; • mean annual precipitation ranges from 125-400 cm Soils and Geology- • Upper slopes are steep (30 to 45 degrees) with excessive rock outcrop. • Lower slope gradients range from 10 to 30 degrees and are mantled with glacial drift and colluvium. • bedrock is largely igneous and metamorphic. Baseline Run Station Name Basin Area, km 2 Days of Record Max, ppm Date of Max Mean, ppm North River, WA 490 365 210 27 Jan 1965 17 Skookumchuck River, WA 290 1,095 376 14 Jan 1970 13 Wynoochee River, WA 107 485 1500 13 Dec 1966 25 Clearwater Creek, WA 85 2,358 14,200 20 Feb 1982 - Muddy River, WA 218 730 52,600 06 Oct 1981 - Observed sediment concentrations in various Washington rivers. Rainy Creek concentrations are similar to observed concentrations. Sediment data is from the U.S. Geological Survey. Timber Harvest and Forest Road Effects 9 8 Concluding Remarks Rainy Creek is a 44 km 2 tributary to the Little Wenatchee River located in the Wenatchee National Forest on the eastern side of the Cascade Mountains. Two road decommissioning scenarios were run for the Rainy Creek basin: Hard and Ware Creeks are two headwater catchments of the Deschutes River. Ware Creek catchment covers 2.84 km 2 and Hard Creek covers 2.31 km 2 in southern Puget Sound. Topography •Hard Creek elevation 463-1220 m; slopes between 60 and 100%. •Ware Creek elevation 457-1180 m; slopes between 40 and 60%. Precipitation •average annual precipitation at the lowest elevations is 2600 mm/year. Soils and Geology • Soils are stony and shallow, averaging 0.6 m in depth in Hard and 1.0 m in Ware Creek. • Soils are underlain by resistant and weathered andesite, basalt and breccia bedrock. Vegetation- Both basins lie entirely within Weyerhaeuser Company’s Vail Tree Farm and have seen extensive harvesting and road construction. Logging began in 1974 and continues to the present. Relative vegetation age in Hard and Ware Creeks is shown above. The road density in Ware Creek is 3.8 km/km 2 , 5.0 km/km 2 in Hard Creek catchment. Hydrographs show the large February 9 th storm. Both basins showed much higher predicted probability of failure with harvested vegetation. Likewise, predicted sediment concentrations at the outlets of Hard and Ware Creeks were much greater. Partial decommissioning - removal of road segments particularly susceptible to erosion, as determined by the US Forest Service. Total decommissioning –All roads removed.
1

Abstract

Jan 03, 2016

Download

Documents

briar-cummings

Q. Q sed. Prediction of Mass Wasting, Erosion, and Sediment Transport With the Distributed Hydrology-Soil-Vegetation Model Colleen O. Doten a , Jordan Lanini a , Laura C. Bowling b , and Dennis P. Lettenmaier a - PowerPoint PPT Presentation
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Abstract

AbstractErosion and sediment transport in a temperate forested watershed are predicted with a new sediment module linked to the Distributed Hydrology-Soil-Vegetation Model (DHSVM). The DHSVM sediment module represents the main sources of sediment generation in forested environments: mass wasting, hillslope erosion and road surface erosion. It produces failures based on a factor-of-safety analysis with the infinite slope model through use of stochastically generated soil and vegetation parameters. Failed material is routed downslope with a rule-based scheme that determines sediment delivery to streams. Sediment from hillslopes and road surfaces is also transported to the channel network. Basin sediment yield is predicted with a simple channel sediment routing scheme. The model was applied to the Rainy Creek catchment, a tributary of the Wenatchee River which drains the east slopes of the Cascade Mountains, and Hard and Ware Creeks on the west slopes of the Cascades. In these initial applications, the model produced plausible sediment yield and ratios of landsliding and surface erosion , when compared to published rates for similar catchments in the Pacific Northwest. We have also used the model to examine the implications of fires and logging road removal on sediment generation in the Rainy Creek catchment. Generally, in absolute value, the predicted changes (increased sediment generation) following fires, which are primarily associated with increased slope failures, are much larger than the modest changes (reductions in sediment yield) associated with road obliteration, although the small sensitivity to forest road obliteration may be due in part to the relatively low road density in the Rainy Creek catchment, and to mechanisms, such as culvert failure, that are not represented in the model.

Prediction of Mass Wasting, Erosion, and Sediment Transport With the Distributed Hydrology-Soil-Vegetation Model

Colleen O. Dotena, Jordan Laninia, Laura C. Bowlingb, and Dennis P. Lettenmaiera

a. University of Washington, Department of Civil and Environmental Engineering, Box 352700, Seattle, WA 98195b. Purdue University, Department of Agronomy, Lilly Hall of Life Sciences, 915 West State Street, West Lafayette, IN 47907

5

MASS WASTING

SURFACE EROSION

Motivation1

2 Model Description

The Sediment Transport Component of DHSVM predicts the range and variability of catchment sediment yield in response to dynamic meteorological and hydrologic conditions. It builds on existing models such as LISA (Hammond et al., 1992) and SHETRAN (Burton and Bathurst, 1998 and Wicks and Bathurst, 1996), by including stochastic mass failure predictions and forest road erosion. It also includes concepts from the KINEROS (Woolhiser et al., 1990 and Smith et al., 1995) and EUROSEM (Morgan et al., 1998) models. DHSVM provides hydrological inputs to the model’s three components: •mass wasting,• surface erosion, including forest roads, •and channel erosion and routing.

The sediment model was run on Hard and Ware Creeks with four different scenarios:•Pre-harvest scenario, with roads;• Post-harvest scenario, with roads;• Pre-harvest scenario, without roads;• Post-harvest scenario, without roads.

• Vegetation for the post-harvest scenarios was as it existed in 1996, while the pre-harvest scenarios assumed homogeneous vegetation similar to the unharvested sites in 1996.

• Maps show probability of failure on February 9, 1996, during a large rain-on-snow event that caused debris flows in adjacent catchments.

DHSVM was run for six years in the Rainy Creek basin from 1991 through 1997. Mass wasting calculations were performed when at least 20% of the basin soils were 85% saturated. Seven mass wasting events were identified:

Soil Moisture Content

CHANNEL EROSION & ROUTING

Channel Flow

PrecipitationLeaf Drip

Infiltration and Saturation Excess Runoff

DHSVM

Q

Qsed

MODEL OUTPUT

Vegetation management, forest road construction and forest fire impact basin sediment yield, by increasing the amount of sediment available for transport and the amount of surface water available to transport it. Increased sediment yield can cause:• sedimentation of water supplies and salmon habitat,

• damage to hydraulic structures, and• exceedances of Total Maximum Daily Loads.

Predictive tools would allow land managers to evaluate management options prior to implementation.

A test application to the Rainy Creek catchment shows that the model produces plausible sediment yields in comparison with literature values for similar catchments. Likewise, ratios of landsliding and surface erosion rates are plausible when compared to published rates for various watersheds in the Pacific Northwest. The model was applied to compare the effects of reducing road densities on erosion and sediment transport in the Rainy Creek drainage. This scenario showed only small changes in mass wasting rates and sediment yield, and some spatial changes in mass wasting locations. Also, as road density decreased the road erosion rate/road area decreased. Larger changes were not realized, either due to the limited hydrologic changes caused by the roads, the construction of roads at low elevation along the main channel, or because road characteristics that contribute to road-related mass wasting (i.e. blocked culverts) are not represented in the model. A second scenario, representing a forest fire, showed an increase in all erosion components due to decreases in root cohesion and increases in surface runoff and thus transport capacity. Timber harvest scenarios in Hard and Ware Creeks also showed increases in mass wasting rates.

The Distributed Hydrology Soil Vegetation Model (DHSVM) was developed at the University of Washington and Pacific Northwest National Laboratory for assessment of the hydrologic consequences of forest management (Wigmosta, 1994). It is a physically-based, distributed model that simulates the effects of spatially variable topograpy, soil and vegetation on the energy and water balance at each grid cell at each time step.

Wildfire Effects

Study Area-Rainy Creek 6

Study Area – Hard and Ware Creeks

• Vegetation-The major vegetative type is coniferous forest influenced by maritime climatic conditions. The basin has a forest road density of 2.4 km/km2.

• Major debris slides occurred in Rainy Creek in 1990 and 1995/1996 during flood events

Road Network Sediment Yield,Mg/ha

Landslide Rate,kg/ha

Hillslope Erosion Rate, kg/ha

Road Erosion Rate

kg/ha(kg/ha road

surface)

kg/kmof road

Existing 1.05 9519 1380 35-43(6,717–8,205)

334-408

Partially Decommissioned

1.03 9535 1380 5-6(1,266-1,609)

46-59

None 1.00 9564 1386 0 0

The Rainy Creek basin road network is shown with road segments in black and red. Red segments were removed for the partial decommissioning scenario.

Forest Roads Effects

• 8 May 1992• 18 May 1993• 30 May 1995• 29 November 1995• 08 June 1996• 17 May 1997• 15 June 1997

The model was run with the existing road network with a scenario to evaluate changes in erosion rates due to the effects of fire. • The understory was removed from all pixels with an overstory;• LAI of pixels with an overstory was reduced to 1.0;• Root cohesion distributions were reduced by 2 kPa, simulating the loss of understory. •These modifications were held constant throughout the six-year simulation.

Fire-altered vegetation model output is shown in red; baseline runs are shown in blue.

3

7

4

• Topography-Elevation ranges from 630 to 2100 meters, with 300 to 600 meters of relief.

• Precipitation• snow-melt dominated basin;• mean annual precipitation ranges from 125-400 cm

• Soils and Geology-• Upper slopes are steep (30 to 45 degrees) with excessive rock outcrop.

• Lower slope gradients range from 10 to 30 degrees and are mantled with glacial drift and colluvium.

• bedrock is largely igneous and metamorphic.

Baseline Run

Station Name Basin Area, km2

Days of Record

Max, ppm

Date of Max Mean, ppm

North River, WA 490 365 210 27 Jan 1965 17

Skookumchuck River, WA 290 1,095 376 14 Jan 1970 13

Wynoochee River, WA 107 485 1500 13 Dec 1966 25

Clearwater Creek, WA 85 2,358 14,200 20 Feb 1982 -

Muddy River, WA 218 730 52,600 06 Oct 1981 -

Observed sediment concentrations in various Washington rivers. Rainy Creek concentrations are similar to observed concentrations. Sediment data is from the U.S. Geological Survey.

Timber Harvest and Forest Road Effects

9

8

Concluding Remarks

Rainy Creek is a 44 km2 tributary to the Little Wenatchee River located in the Wenatchee National Forest on the eastern side of the Cascade Mountains.

Two road decommissioning scenarios were run for the Rainy Creek basin:

Hard and Ware Creeks are two headwater catchments of the Deschutes River. Ware Creek catchment covers 2.84 km2 and Hard Creek covers 2.31 km2 in southern Puget Sound.• Topography

•Hard Creek elevation 463-1220 m; slopes between 60 and 100%. •Ware Creek elevation 457-1180 m; slopes between 40 and 60%.

• Precipitation•average annual precipitation at the lowest elevations is 2600 mm/year.

• Soils and Geology• Soils are stony and shallow, averaging 0.6 m in depth in Hard and 1.0 m in Ware Creek.• Soils are underlain by resistant and weathered andesite, basalt and breccia bedrock.

• Vegetation- Both basins lie entirely within Weyerhaeuser Company’s Vail Tree Farm and have seen extensive harvesting and road construction. Logging began in 1974 and continues to the present. Relative vegetation age in Hard and Ware Creeks is shown above. The road density in Ware Creek is 3.8 km/km2, 5.0 km/km2 in Hard Creek catchment.

Hydrographs show the large February 9th storm. Both basins showed much higher predicted probability of failure with harvested vegetation. Likewise, predicted sediment concentrations at the outlets of Hard and Ware Creeks were much greater.

• Partial decommissioning - removal of road segments particularly susceptible to erosion, as determined by the US Forest Service.

• Total decommissioning –All roads removed.