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Distributed slope stability analysis...
~
Wu, Weimin.
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Distributed slope stability analysis in steep, forested basins.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Distributed slope stability analysis in steep, forested basins./
Author:
Wu, Weimin.
Description:
148 p.
Notes:
Major Professor: Roy C. Sidle.
Contained By:
Dissertation Abstracts International54-08B.
Subject:
Agriculture, Forestry and Wildlife. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9402320
Distributed slope stability analysis in steep, forested basins.
Wu, Weimin.
Distributed slope stability analysis in steep, forested basins.
- 148 p.
Major Professor: Roy C. Sidle.
Thesis (Ph.D.)--Utah State University, 1993.
A new distributed, physically based slope stability model (dSLAM) was developed for analyzing rapid, shallow landslides and spatial distribution of safety factor (FS) in steep, forested areas. The multicomponent model was based on an infinite slope model, a kinematic wave groundwater model, and a continuous change vegetation root strength model. It was integrated with a contour line-based topographic analysis and geographic information system for spatial data extraction and visualization.Subjects--Topical Terms:
783690
Agriculture, Forestry and Wildlife.
Distributed slope stability analysis in steep, forested basins.
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148 p.
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Major Professor: Roy C. Sidle.
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Source: Dissertation Abstracts International, Volume: 54-08, Section: B, page: 4053.
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Thesis (Ph.D.)--Utah State University, 1993.
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A new distributed, physically based slope stability model (dSLAM) was developed for analyzing rapid, shallow landslides and spatial distribution of safety factor (FS) in steep, forested areas. The multicomponent model was based on an infinite slope model, a kinematic wave groundwater model, and a continuous change vegetation root strength model. It was integrated with a contour line-based topographic analysis and geographic information system for spatial data extraction and visualization.
520
$a
The model was tested in two steep, forested drainages of Cedar Creek in the Oregon Coastal Ranges using actual spatial patterns of timber harvesting and measured rainfall during a major storm in 1975. Simulated volumes and numbers of failures were 733 m$\sp3$ and 4 for basin A and 801 m$\sp3$ and 7 for basin B. These values agreed closely with field measurements following the 1975 storm; 734 m$\sp3$ and 3 in basin A and 749 m$\sp3$ and 6 in basin B. The simulated failures caused by the storm were mostly in hollows. The simulations show that the spatial distribution of FS is controlled mainly by topography and timber harvesting patterns and greatly affected by groundwater flow patterns during major rainstorms. Areas with FS $<$ 3.0 followed the distribution of blocks cut in 1968 (7 years after cutting and close to minimum root strength) and the elements with FS $<$ 2.0 were all located in areas cut in 1968. Areas with low FS (1.0-1.6) expanded dramatically during the rain and decreased at a slow rate after the rain. Factor of safety in hollows declined sharply during the storm.
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The model was used to evaluate the spatial distribution of failure probability related to different timber harvesting strategies. The simulations show that areas with high failure potential were located in sites where root strength is low and groundwater flow concentrates. The model was also used to investigate the temporal distribution of landslide occurrence during a management cycle by using Monte Carlo simulations. The results are consistent with previously published field observations; most landslides occurred during the period from 1 to 15 years after clearcutting. Also, leave areas, a management practice used to reduce landslide occurrence in clearcuts, were evaluated to be an effective measure. Finally, this study supports the hypothesis that hollows are positions that have highest potential of landslide occurrence in steep areas.
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School code: 0241.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9402320
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