bivariate statistical method 1. landslide rupture 2. relevant factors (parameters) for the...
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![Page 1: Bivariate statistical method 1. Landslide rupture 2. Relevant factors (parameters) for the prediction of landslide : - Lithology - Slope - Landuse - Aspect](https://reader030.vdocuments.site/reader030/viewer/2022032802/56649e1b5503460f94b088c7/html5/thumbnails/1.jpg)
LANDSLIDE SUCCEPTABILITY MAPPING(Case study of SRILANKA)
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Bivariate statistical method
1. Landslide rupture
2. Relevant factors (parameters) for the prediction of landslide :
- Lithology - Slope- Landuse - Aspect- Soiltype - Curvature
Statistical Map
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Statistical Analysis Map
3. Weight value for each factor : Landslide Index
- Dens. clas : Landslide density within parameter class
- Density map : Landslide density within entire map
- N pixel (Si) : Number of pixels, which contain landslides per parameter class
- N pixel (Ni): Total number of pixels in a parameter class
![Page 4: Bivariate statistical method 1. Landslide rupture 2. Relevant factors (parameters) for the prediction of landslide : - Lithology - Slope - Landuse - Aspect](https://reader030.vdocuments.site/reader030/viewer/2022032802/56649e1b5503460f94b088c7/html5/thumbnails/4.jpg)
Statistical Analysis Map
Six weight value maps will be calculated:
1. lithology weight map
2. Soil type weight map
3. Landuse weight map
4. Slope weight map
5. Aspect weight map
6. Curvature weight map
Hazard succeptibility map
![Page 5: Bivariate statistical method 1. Landslide rupture 2. Relevant factors (parameters) for the prediction of landslide : - Lithology - Slope - Landuse - Aspect](https://reader030.vdocuments.site/reader030/viewer/2022032802/56649e1b5503460f94b088c7/html5/thumbnails/5.jpg)
Data Available
• Soil map
• Contour lines(10m intervals)
• Land use map
• Landslide rupture map
• Reference coordinate system for Srilanka: Central Meridian, False Northing Latitude of origin, Scale factor, false northings and false eastings are 200,000meters,
• Used Software : ArcGIS 9.3
![Page 6: Bivariate statistical method 1. Landslide rupture 2. Relevant factors (parameters) for the prediction of landslide : - Lithology - Slope - Landuse - Aspect](https://reader030.vdocuments.site/reader030/viewer/2022032802/56649e1b5503460f94b088c7/html5/thumbnails/6.jpg)
Work Flow
1. Created a file geodatabase (ArcGIS 9.3)2. Imported our features( all shapefiles)3. Rasterisation of our feature Landslide rupture (define the extent of
our raster by using mask)4. Generated DEM using contours: define cell size and mask
5. Reclassification : Aspect, slope and curvature
6. Rasterization : lithology, landuse and soil type features ( polygon to raster)
7. Zonal tables ( zonal statistics as table)
8. Join tables to corresponding classes
9. Calculate six weight value maps
10. Hazard susceptibility map (sum up all weight value maps) (Weighted Sum Operation)
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1.Rasterization:LandSide Rupture Feature
• Cell size : 20m • Assign the extent of our raster • by using given mask feature
• Total number of pixel (2752)
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2.Generation Aspect Slope and Curvature
1. DEM from Contour lines
(Spatial Analyst Tools TIN management)
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Spatial analyst tools (Aspect, slope and curvature)
Aspect Slope Curvature
All these rasters do not have values ( no Attribute tables, floating rasters)
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3.Rasterization:Lithology Landuse and Soil Polygon Raster
Soiltype : 4 classes Lithology : 3 classes Landuse : 21 classes
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4.Reclassification
Spatial analyst tools Reclass Reclassify
Aspect 5 classes are made
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Slope 5 classes
Curvature 5 classes
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Slope CurvatureAspect
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Reclassification of LanduseRaster
Landuse 4 classes
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5.Zonal Tables
Spatial analyst tools Zonal Zonal statistics as table
• We want to calculate the number of pixels of landslide that fall in each class of our raster slope,
• Repeated the same process is done for 5 remaining Rasters
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6.Join Tables to Correspond Rasters
• Join tables of each raster to its corresponding zonal statistic table,• Total number of pixels of that raster in each zonal statistic table,• Use “Field calculator”, added a new field of weight in our table
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7.Field Calculator
Calculate the weight valuesby introducing the given formula in field calculator
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8.Calculate Six Weight Value Maps
e.g. Aspect-ve values mean Low Risk Area+ve values mean High Risk Area
![Page 19: Bivariate statistical method 1. Landslide rupture 2. Relevant factors (parameters) for the prediction of landslide : - Lithology - Slope - Landuse - Aspect](https://reader030.vdocuments.site/reader030/viewer/2022032802/56649e1b5503460f94b088c7/html5/thumbnails/19.jpg)
9.Weight Maps
Aspect weight map Slope weight map
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Curvature weight map Soiltype weight map
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Lithology weight map Landuse weight map
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10.Final Landslide Susceptibility Map
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Thank you for your attention.
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24
QUESTIONS???