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.
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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
Geology and Failure Rate
N. Fk. Headwaters
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
Landscape types with fewer failures than expected were generally in gentler slope areas; those at lower slope positions and further from streams. Types with more failures than expected were generally at higher slope positions, steeper slopes, and closer to streams.
Logistic Regression Modelling:
Logistic Regression Model:ln(odds) = -1.8802 + 0.0238Slope + 0.0192Slope Position – 0.016Distance + 0.0001SlopeDistance
Landslide Odds 19X
95% CL: 7, 51
Landslide Odds 39X
95% CL: 15, 100
Distance 213mRelative Odds of Road-Related Landslides
53Relative Odds Compared to 2% Slope, 2% Slope Position, 200m to Stream
Volume (quantity classes)
Sometimes roads catch and preventsediment delivery
Use categories created in this effort for consistency and combined analysis