Introduction - Semi-quantitative Approaches for Landslide Assessment and Prediction - page 50

pitching upon the freshly-turfed area would ensure rapid and undisturbed growth of
vegetation (Howell 2001 ).
All

c and highly specialized.
Understanding the uniqueness of the present study area was of high priority. Degree
of importance of individual landslide triggering factor varies from place to place.
Present research work was organized to identify relative importance of the landslide
triggering factors for the area under study. Again, within the Shivkhola basin, there
is also spatial variation in the contribution of the triggering factors. It is essential to
analyze spatial variation in the relative importance of

the studies, mentioned, are area case speci

the factors and also

site-speci c variation in the triggering factors. Geomorphic, hydrologic, land use

and anthropogenic attributes and their spatial distribution were studied in details
through intensive field work. Runoff models, Digital Elevation Model (DEM), I-D

Slope Stability Model, Run-off Model (The United States Department of Agricul-
ture Soil Conservation Service (USDA SCS) Curve Number (CN) technique),
Geomorphic Threshold, Topographic Index Model, Land Use Index Model, RS &
GIS base Frequency Ratio and Analytical Hierarchy Process (AHP) etc. were used
to make a detailed spatial analysis and proper integration of factors for proper
synthesis. Rainfall characters were analyzed to determine the critical rain and return
period of the critical rain at various recurrence intervals. The cohesion, angle of
internal friction, and safety factor were derived applying IS: 2131 (1981) Standards
and Codes to realize the spatial distribution of slope instability. To identify the
potential landslide susceptible places in the study area, RS & GIS based Analytical
Hierarchy Approach was applied. Veri

cation is made for accuracy judgment.
Most of the data were collected from intensive field study. In the present study

slope instability in the Shivkhola Watershed was analyzed considering both
physical and human factors taken together as a comprehensive whole in a cognitive
approach in an attempt to propose for better management and thus to achieve social
relevance as an active device for decision makers.

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17 July 2009

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