monitoring road-watershed performance
DESCRIPTION
Monitoring Road-Watershed Performance. An Initiative for Efficient and Effective Road Performance Monitoring: Combine effort to complete DSRs and INFRA to achieve road performance monitoring. mj furniss, PNW. 2005. Roads are a focus of watershed monitoring. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/1.jpg)
Monitoring Road-Watershed Monitoring Road-Watershed PerformancePerformance
An Initiative for Efficient An Initiative for Efficient and Effective Road and Effective Road Performance Monitoring: Performance Monitoring:
Combine effort to complete Combine effort to complete DSRs and INFRA to achieve DSRs and INFRA to achieve road performance monitoringroad performance monitoring
mj furniss, PNW. 2005
![Page 2: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/2.jpg)
Roads are a focus of Roads are a focus of watershed monitoringwatershed monitoring
But roads vary greatly in But roads vary greatly in performance performance
Most Most do notdo not fail fail Failures tend to cluster in Failures tend to cluster in areas of inherent instabilityareas of inherent instability
![Page 3: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/3.jpg)
Why?Why? Failure sites create a useful Failure sites create a useful dataset for defining road dataset for defining road performance through timeperformance through time
Failures define the limits of Failures define the limits of practice in various landscape practice in various landscape situationssituations
When experienced road managers When experienced road managers retire, mission-critical knowledge retire, mission-critical knowledge could be conserved could be conserved
![Page 4: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/4.jpg)
Why?Why?
Little added effort for Little added effort for substantial value returnedsubstantial value returned• INFRA in place and workingINFRA in place and working• DSRs completed DSRs completed • Related monitoringRelated monitoring
![Page 5: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/5.jpg)
What you getWhat you get
Ability to determine thresholds Ability to determine thresholds of performanceof performance
Ability to determine relative Ability to determine relative risk of failurerisk of failure
Quantitative description of Quantitative description of risksrisks
![Page 6: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/6.jpg)
0.00
0.50
1.00
1.50
2.00
2.50
Fa
ilure
s/m
ile o
f R
oa
d
25 50 75 100 125 150 175 200 225 250 251
Distance from Stream (m)
ONF M ass Wasting Road Failure Rates by Distance to Stream
0.0000
0.0200
0.0400
0.0600
0.0800
0.1000
0.1200
0.1400
0.1600
0.1800
Fa
ilu
res
/mil
e o
f R
oa
d
50 150 151
Distance to Stream
SNF Mass Wasting Road Failure Rates by Stream Proximity
Willam ette NF Cum ulative Road Failures by Distance to Stream
0
20
40
60
80
100
120
140
160
Distance to Stream (m)
Fa
ilu
res
0%
20%
40%
60%
80%
100%
Cumulative %
0.00
0.50
1.00
1.50
2.00
2.50
Fa
ilure
s/m
ile o
f R
oa
d
25 50 75 100 125 150 175 200 225 250 251
Distance from Stream (m)
ONF M ass Wasting Road Failure Rates by Distance to Stream
0.0000
0.0200
0.0400
0.0600
0.0800
0.1000
0.1200
0.1400
0.1600
0.1800
Fa
ilu
res
/mil
e o
f R
oa
d
50 150 151
Distance to Stream
SNF Mass Wasting Road Failure Rates by Stream ProximityWillamette NF Cumulative Road
Failures by Distance to Stream
0
20
40
60
80
100
120
140
160
Distance to Stream (m)
Fa
ilu
res
0%
20%
40%
60%
80%
100%
Cumulative %
Failure Rate vs Distance from Stream
![Page 7: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/7.jpg)
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
Fa
ilu
res
/mil
e o
f R
oa
d
5 15 25 35 45 55 65 75 85 95 500
Slope (%)
ONF Mass Wasting Road Failure Rates by Slope
<10%10-50%
>50%
<34
34to66
>66
0.000
0.050
0.100
0.150
0.200
0.250
Fai
lure
s/m
i
Slope Class
Slope Position
WNF: All Failures by Slope Postion and Slope Class
<34
34to66
>66
0.0000
0.5000
1.0000
1.5000
2.0000
2.5000
3.0000
Fai
lure
s/m
ile
of
Ro
ad
30 70 71
Slope Class (%)
SIUS NF Mass Wasting Road Failure Rates by Slope Position
Mass wasting road failures per mile of road in slope classes(Multiple watersheds)
0.09 0.030.14 0.13
0.32
0.550.68
0.90
1.69
00.20.40.60.8
11.21.41.61.8
2
0-10 % 11-20% 21-30% 31-40% 41-50% 51-60% 61-70% 71-80% 81-90%
Slope class by percent
Ro
ad
fa
ilu
res
/mile
of
roa
d
Distribution by slope class of 229 mass wasting road failures sites
Slope Class Failures Road by Percent per mile Failures Mileage 0-10 % 0.09 4 45.91 11-20% 0.03 3 98.67 21-30% 0.14 21 147.86 31-40% 0.13 25 187.46 41-50% 0.32 53 165.52 51-60% 0.55 60 109.15 61-70% 0.68 36 53.33 71-80% 0.90 17 18.88 81-90% 1.69 8 4.73
Failure Rate vs Slope Class
Mass wasting road failures per mile of road in slope classes(Multiple watersheds)
0.09 0.030.14 0.13
0.32
0.550.68
0.90
1.69
00.20.40.60.8
11.21.41.61.8
2
0-10 % 11-20% 21-30% 31-40% 41-50% 51-60% 61-70% 71-80% 81-90%
Slope class by percent
Ro
ad
fa
ilu
res
/mile
of
roa
d
Distribution by slope class of 229 mass wasting road failures sites
Slope Class Failures Road by Percent per mile Failures Mileage 0-10 % 0.09 4 45.91 11-20% 0.03 3 98.67 21-30% 0.14 21 147.86 31-40% 0.13 25 187.46 41-50% 0.32 53 165.52 51-60% 0.55 60 109.15 61-70% 0.68 36 53.33 71-80% 0.90 17 18.88 81-90% 1.69 8 4.73
<10%10-50%
>50%
<34
34to66
>66
0.000
0.050
0.100
0.150
0.200
0.250F
ailu
res/
mi
Slope Class
Slope Position
WNF: All Failures by Slope Postion and Slope Class
<34
34to66
>66
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
Fa
ilu
res
/mil
e o
f R
oa
d
5 15 25 35 45 55 65 75 85 95 500
Slope (%)
ONF Mass Wasting Road Failure Rates by Slope
0.0000
0.5000
1.0000
1.5000
2.0000
2.5000
3.0000
Fai
lure
s/m
ile
of
Ro
ad
30 70 71
Slope Class (%)
SIUS NF Mass Wasting Road Failure Rates by Slope Steepness
![Page 8: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/8.jpg)
Slope Position vs Failure RateSlope Position vs Failure Rate
0.00
0.50
1.00
1.50
2.00
2.50
Fai
lure
s/m
ile
of
Ro
ad
5 15 25 35 45 55 65 75 85 95
Slope Position (%)
ONF Mass Wasting Road Failure Rates by Slope Position
<10%10-50%
>50%
<34
34to66
>66
0.000
0.050
0.100
0.150
0.200
0.250
Fai
lure
s/m
i
Slope Class
Slope Position
WNF: All Failures by Slope Postion and Slope Class
<34
34to66
>66
0.0000
0.0500
0.1000
0.1500
0.2000
0.2500
Fai
lure
s/m
ile o
f R
oad
33 67 68
Slope Position (%)
SNF Mass Wasting Road Failure Rates by Slope Position
Road failures per mile of road in slope positions (multiple watersheds)
0.14 0.17
0.078
0.38
0.50
0.14
0.51
0.67
0.06
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Upper Middle LowerSlope position
Roa
d fa
ilure
s/m
ile o
f roa
dSurface Erosion (90)
Mass Wasting (229)
All Failures (319)
0.00
0.50
1.00
1.50
2.00
2.50
Fai
lure
s/m
ile
of
Ro
ad
5 15 25 35 45 55 65 75 85 95
Slope Position (%)
ONF Mass Wasting Road Failure Rates by Slope Position
<10%10-50%
>50%
<34
34to66
>66
0.000
0.050
0.100
0.150
0.200
0.250
Fai
lure
s/m
i
Slope Class
Slope Position
WNF: All Failures by Slope Postion and Slope Class
<34
34to66
>66
Road failures per mile of road in slope positions (multiple watersheds)
0.14 0.17
0.078
0.38
0.50
0.14
0.51
0.67
0.06
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Upper Middle LowerSlope position
Roa
d fa
ilure
s/m
ile o
f roa
d
Surface Erosion (90)
Mass Wasting (229)
All Failures (319)
0.0000
0.0500
0.1000
0.1500
0.2000
0.2500
Fai
lure
s/m
ile o
f R
oad
33 67 68
Slope Position (%)
SNF Mass Wasting Road Failure Rates by Slope Position
![Page 9: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/9.jpg)
Mass wasting road failures per mile of road by bedrock geology(Bluff Creek Watershed)
0.87
0.71
0.61
0.27 0.24
0.12
0
0.2
0.4
0.6
0.8
1
1.2
Serpentinite Diorite Phyllite Metasediments Metavolcanics Schist
Bedrock geology units
Roa
d fa
ilure
s/m
ile o
f roa
d
Geology and Failure Rate
![Page 10: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/10.jpg)
Olympic National ForestOlympic National Forest
![Page 11: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/11.jpg)
ONF Northwest DistrictONF Northwest District
![Page 12: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/12.jpg)
Pistol Cr.
Bonidu Cr.
Calawah R.N. Fk.
Headwaters
![Page 13: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/13.jpg)
Use Topograpy to Define Use Topograpy to Define Landscape Types for Landscape Types for Chi-square AnalysisChi-square Analysis
Slope:<=15%, 15-30%, 30-45%, >45%
Slope Position:<=20%, 20-55%, 55-85%, 85-100%
Distance to Stream:<34m, 34-74m, 74-135m, <=135m
![Page 14: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/14.jpg)
Example Landscape Units for Example Landscape Units for 22
![Page 15: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/15.jpg)
Chi-Square Results:Chi-Square Results:
Landscape types with fewer failures than Landscape types with fewer failures than expected were generally in gentler slope expected were generally in gentler slope areas; those at lower slope positions and areas; those at lower slope positions and further from streams. further from streams.
Types with more failures than expected were Types with more failures than expected were generally at higher slope positions, steeper generally at higher slope positions, steeper slopes, and closer to streams.slopes, and closer to streams.
![Page 16: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/16.jpg)
A Need for More Specific Risk A Need for More Specific Risk InformationInformation
Combine 509 known failures with 1008 randomly selected locations.
Use slope, slope position, and stream proximity to estimate relative risk of road-related landslides.
Logistic Regression Modelling:
![Page 17: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/17.jpg)
Logistic Regression Sample Units Logistic Regression Sample Units
![Page 18: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/18.jpg)
Logistic Regression Model:
ln(odds) = -1.8802 + 0.0238Slope + 0.0192Slope
Position – 0.016Distance + 0.0001SlopeDistance
![Page 19: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/19.jpg)
Relative Odds of Road-Related Relative Odds of Road-Related Landslides Landslides
Reference Segment:Slope 3%Slpos 8%Distance 213m
Slope 7% Slopos 4% Distance 27mLandslide Odds 19XReference Segment95% CL: 7, 51
Slope 23% Slopos 19% Distance 27mLandslide Odds 39XReference Segment95% CL: 15, 100
![Page 20: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/20.jpg)
Relative Odds Compared to 2% Slope, 2% Relative Odds Compared to 2% Slope, 2% Slope Position, 200m to Stream Slope Position, 200m to Stream
73
167
127
72
50
53
65
17
![Page 21: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/21.jpg)
Average Relative Odds by Average Relative Odds by Watershed Watershed
![Page 22: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/22.jpg)
Point swarms show problem areas clearly
![Page 23: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/23.jpg)
How you get it…How you get it…
Add DSR points and attributes Add DSR points and attributes to INFRAto INFRA
Attributes of failure type, Attributes of failure type, cause, coarse magnitudecause, coarse magnitude
![Page 24: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/24.jpg)
How you get itHow you get it
1.1. Modify description block in DSR to Modify description block in DSR to include:include:
Failure typeFailure type
CauseCause Volume Volume (quantity classes)(quantity classes)
TotalTotal To streamTo stream To riparian area To riparian area (within 50 m)(within 50 m)
![Page 25: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/25.jpg)
Cause Attributes…QuestionsCause Attributes…Questions
Perpetrator or innocent Perpetrator or innocent bystander?bystander?
Context Context Impact Impact
Sometimes roads Sometimes roads catch and preventcatch and preventsediment deliverysediment delivery
![Page 26: Monitoring Road-Watershed Performance](https://reader035.vdocuments.us/reader035/viewer/2022070418/56815931550346895dc664c4/html5/thumbnails/26.jpg)
Other road monitoringOther road monitoring
Use categories created in this Use categories created in this effort for consistency and effort for consistency and combined analysiscombined analysis