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LANDSLIDE RISK ASSESMENT USING SINMAP (BARTIN-SÖKÜ SAMPLE STUDY)

Yıl 2012, Cilt: 14 Sayı: 22, 12 - 23, 01.06.2012

Öz

SINMAP (Stability Index Mapping) software is an ArcView extension developed by Environmental Systems
Research Institute (ESRI) that is used to evaluate landslide risk at basin scale. SINMAP classification utilizes
stability index values calculated at basin scale. The theoretical basis of SINMAP is an infinite slope stability
model. A digital elevation model (DEM) is used to identify variables such as slope, soil moisture, and flow
directions; and also takes into account factors such as permeability, water retention capacity, friction and root
structure that might affect slope status. However, various difficulties might be encountered in calculating certain
variables, which are therefore characterized by standard distribution within certain limits based on soil,
vegetation and geological data. The software allows interactive calibration of variables according to observed
landslide distribution. Using the variables reduces the possibility of assigning a low stability index in areas
where no landslides are observed, whereas the possibility of observing landslides in areas with low stability
index can be increased. In this study, a model developed by Pack et al. (2001) is explained according to infinite
slope stability model and topographic wetness index. These two components are used to define SI in Sökü
Department of Forestry.

Kaynakça

  • Band, L. E., (1986), Topographic Partition of Watersheds with Digital Elevation Models, Water Resources Research, 22(1): l5-24.
  • Carrara, A., M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui, and P. Reichenback, (1991) GIS Techniques and Statistical Models in Evaluating Landslide Hazard, Earth Surf. Processes Landforms, 16, 427-445.
  • Costa-Cabral, M. and S. J. Burges, (1994), Digital Elevation Model Networks (DEMON): A Model of Flow Over Hillslopes for Computation of Contributing and Dispersal Areas, Water Resources Research, 30(6): 1681- 1692. Dietrich, W. E., C. J. Wilson, D. R., Montgomery, J. McKean, and R. Bauer, (1992) Erosion Thresholds and Land Surface Morphology, Geology, 20, 675-679.
  • Dietrich, W. E., C. J. Wilson, D. R. Montgomery, and J. McKean, (1993) Analysis or Erosion Thresholds, Channel Networks and Landscape Morphology Using a Digital Terrain Model, J. Geol., 101, 259-278.
  • Ellen, S. D., R. K. Mark, S. H. Cannon and D. L. Knifong, (1993) Map of Debris Flow Hazard in the Honolulu District of Oahu, Hawaii, U.S. Geol. Surv. Open File Rep., 93-213, 25 pp.
  • Fairfield, J. and P. Leymarie, (1991), Drainage Networks from Grid Digital Elevation Models, Water Resources Research, 27(5): 709-717.
  • Jenson, S. K. and J. O. Domingue, (1988), Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, Photogrammetric Engineering and Remote Sensing, 54(11): 1593- 1600. Marks, D., J. Dozier and J. Frew, (1984), Automated Basin Delineation From Digital Elevation Data,"Geo. Processing, 2: 299-311.
  • Mark, D. M., (1988), Network Models in Geomorphology, Chapter 4 in Modelling in Geomorphological Systems, Edited by M. G. Anderson, John Wiley., p.73-97.
  • Montgomery, D. R., R. H. Wright, and T. Booth, (1991) Debris Flow Hazard Mitigation for Colluvium-filled Swales, Bull. Assoc. Eng. Geol., 28, 303-323.
  • Montgomery, D. R., and W. E. Dietrich, (1992) Channel Initiation and The Problem of Landscape Scale, Science, 255, 826-830.
  • Montgomery, D. R. and W. E. Dietrich, (1994), A Physically Based Model for the Topographic Control on Shallow Landsliding, Water Resources Research, 30(4): 1153-1171.
  • O'Callaghan, J. F. and D. M. Mark, (1984), The Extraction of Drainage Networks From Digital Elevation Data, Computer Vision, Graphics and Image Processing, 28: 328-344.
  • Pack R.T., Tarboton D.G., Goodwin C. N. (1998), The SINMAP Approach to Terrain Stability Mapping, Paper Submitted to 8th Congress of the International Association of Engineering Geology, Vancouver, British Columbia, Canada.
  • Pack R.T., Tarboton D.G., Goodwin C. N. (2001), Assessing Terrain Stability in a GIS Using SINMAP, 15th Annual GIS Conference, Vancouver, British Columbia.
  • Quinn, P., K. Beven, P. Chevallier and O. Planchon, (1991), The Prediction of Hillslope Flow Paths for Distributed Hydrological Modeling Using Digital Terrain Models, Hydrological Processes, 5: 59-80.
  • Sidle, R.C., A.J. Pearce and C.L. O'Loughlin, (1985), Hillslope Stability and Land Use, Water Resources Monograph 11 Edition, American Geophysical Union, 140p.
  • Tarboton, D. G., (1989), The Analysis of River Basins and Channel Networks Using Digital Terrain Data, Sc.D. Thesis,Department of Civil Engineering, M.I.T., Cambridge, MA, (Also available as Tarboton D. G., R. L. Bras and I. Rodriguez-Iturbe, (Same title), Technical report no 326, Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, M.I.T., September .
  • Tarboton, D. G., (1997), A New Method for the Determination of Flow Directions and Contributing Areas in Grid Digital Elevation Models, Water Resources Research, 33(2): 309-319.
  • Wu, W. and R. C. Sidle, (1995), A Distributed Slope Stability Model for Steep Forested Watersheds, Water Resources Research, 31(8): 2097-2110.

LANDSLIDE RISK ASSESMENT USING SINMAP (BARTIN-SÖKÜ SAMPLE STUDY)

Yıl 2012, Cilt: 14 Sayı: 22, 12 - 23, 01.06.2012

Öz

SINMAP (Stability Index Mapping) software is an ArcView extension developed by Environmental Systems
Research Institute (ESRI) that is used to evaluate landslide risk at basin scale. SINMAP classification utilizes
stability index values calculated at basin scale. The theoretical basis of SINMAP is an infinite slope stability
model. A digital elevation model (DEM) is used to identify variables such as slope, soil moisture, and flow
directions; and also takes into account factors such as permeability, water retention capacity, friction and root
structure that might affect slope status. However, various difficulties might be encountered in calculating certain
variables, which are therefore characterized by standard distribution within certain limits based on soil,
vegetation and geological data. The software allows interactive calibration of variables according to observed
landslide distribution. Using the variables reduces the possibility of assigning a low stability index in areas
where no landslides are observed, whereas the possibility of observing landslides in areas with low stability
index can be increased. In this study, a model developed by Pack et al. (2001) is explained according to infinite
slope stability model and topographic wetness index. These two components are used to define SI in Sökü
Department of Forestry.

Kaynakça

  • Band, L. E., (1986), Topographic Partition of Watersheds with Digital Elevation Models, Water Resources Research, 22(1): l5-24.
  • Carrara, A., M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui, and P. Reichenback, (1991) GIS Techniques and Statistical Models in Evaluating Landslide Hazard, Earth Surf. Processes Landforms, 16, 427-445.
  • Costa-Cabral, M. and S. J. Burges, (1994), Digital Elevation Model Networks (DEMON): A Model of Flow Over Hillslopes for Computation of Contributing and Dispersal Areas, Water Resources Research, 30(6): 1681- 1692. Dietrich, W. E., C. J. Wilson, D. R., Montgomery, J. McKean, and R. Bauer, (1992) Erosion Thresholds and Land Surface Morphology, Geology, 20, 675-679.
  • Dietrich, W. E., C. J. Wilson, D. R. Montgomery, and J. McKean, (1993) Analysis or Erosion Thresholds, Channel Networks and Landscape Morphology Using a Digital Terrain Model, J. Geol., 101, 259-278.
  • Ellen, S. D., R. K. Mark, S. H. Cannon and D. L. Knifong, (1993) Map of Debris Flow Hazard in the Honolulu District of Oahu, Hawaii, U.S. Geol. Surv. Open File Rep., 93-213, 25 pp.
  • Fairfield, J. and P. Leymarie, (1991), Drainage Networks from Grid Digital Elevation Models, Water Resources Research, 27(5): 709-717.
  • Jenson, S. K. and J. O. Domingue, (1988), Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, Photogrammetric Engineering and Remote Sensing, 54(11): 1593- 1600. Marks, D., J. Dozier and J. Frew, (1984), Automated Basin Delineation From Digital Elevation Data,"Geo. Processing, 2: 299-311.
  • Mark, D. M., (1988), Network Models in Geomorphology, Chapter 4 in Modelling in Geomorphological Systems, Edited by M. G. Anderson, John Wiley., p.73-97.
  • Montgomery, D. R., R. H. Wright, and T. Booth, (1991) Debris Flow Hazard Mitigation for Colluvium-filled Swales, Bull. Assoc. Eng. Geol., 28, 303-323.
  • Montgomery, D. R., and W. E. Dietrich, (1992) Channel Initiation and The Problem of Landscape Scale, Science, 255, 826-830.
  • Montgomery, D. R. and W. E. Dietrich, (1994), A Physically Based Model for the Topographic Control on Shallow Landsliding, Water Resources Research, 30(4): 1153-1171.
  • O'Callaghan, J. F. and D. M. Mark, (1984), The Extraction of Drainage Networks From Digital Elevation Data, Computer Vision, Graphics and Image Processing, 28: 328-344.
  • Pack R.T., Tarboton D.G., Goodwin C. N. (1998), The SINMAP Approach to Terrain Stability Mapping, Paper Submitted to 8th Congress of the International Association of Engineering Geology, Vancouver, British Columbia, Canada.
  • Pack R.T., Tarboton D.G., Goodwin C. N. (2001), Assessing Terrain Stability in a GIS Using SINMAP, 15th Annual GIS Conference, Vancouver, British Columbia.
  • Quinn, P., K. Beven, P. Chevallier and O. Planchon, (1991), The Prediction of Hillslope Flow Paths for Distributed Hydrological Modeling Using Digital Terrain Models, Hydrological Processes, 5: 59-80.
  • Sidle, R.C., A.J. Pearce and C.L. O'Loughlin, (1985), Hillslope Stability and Land Use, Water Resources Monograph 11 Edition, American Geophysical Union, 140p.
  • Tarboton, D. G., (1989), The Analysis of River Basins and Channel Networks Using Digital Terrain Data, Sc.D. Thesis,Department of Civil Engineering, M.I.T., Cambridge, MA, (Also available as Tarboton D. G., R. L. Bras and I. Rodriguez-Iturbe, (Same title), Technical report no 326, Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Department of Civil Engineering, M.I.T., September .
  • Tarboton, D. G., (1997), A New Method for the Determination of Flow Directions and Contributing Areas in Grid Digital Elevation Models, Water Resources Research, 33(2): 309-319.
  • Wu, W. and R. C. Sidle, (1995), A Distributed Slope Stability Model for Steep Forested Watersheds, Water Resources Research, 31(8): 2097-2110.
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Biyomateryaller
Bölüm Makaleler
Yazarlar

Tuğrul Varol Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2012
Yayımlandığı Sayı Yıl 2012 Cilt: 14 Sayı: 22

Kaynak Göster

APA Varol, T. (2012). LANDSLIDE RISK ASSESMENT USING SINMAP (BARTIN-SÖKÜ SAMPLE STUDY). Bartın Orman Fakültesi Dergisi, 14(22), 12-23.


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