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An easy approach to assess the susceptibility of a landslide by utilizing simple raster overlay methods: A case study on Huangtupo landslide (P.R. China)

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Abstract

Semi qualitative index based methods using rankings and ratings are commonly used in susceptibility estimations over a wide area. However, generalized ranking and ratings are not applicable for one single landslide. This paper gives an easy and transferable approach to a susceptibility assessment of Huangtupo landslide (P.R. China), using raster addition without taking account for ranking and ratings. Slope, aspect, curvature, location and drainage buffer distance raster data sets have been obtained out of open source digital elevation models using ESRI’s ArcGIS. These conditioning factor raster data sets have been translated into raster data sets including simple yes or no criteria, referring to triggering or not. Subsequently they have been added by raster math to acquire a simple raster overlay map. After that this map is compared to initial displacement measurements, obtained by using a ground based synthetic aperture radar device. Acquired data is recalculated to a raster data set using the same spatial extent, to provide the possibility of comparison of the two raster data sets. The results reveal, that 76.35% of all measured movements occur in areas where raster cells include three or more conditioning factors, indicating that easy raster math operations can lead to satisfying results in local scale.

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References

  • Anbalagan R (1992) Landslide hazard evaluation and zonation mapping in mountainous terrain. Engineering Geology 32(4): 269–277. DOI: 10.1016/0013-7952(92)90053-2

    Article  Google Scholar 

  • Ayalew L, Yamagishi H, Marui H, et al. (2005) Landslides in Sado Island of Japan. Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications. Engineering Geology 81(4): 432–445. DOI: 10.1016/j.enggeo.2005.08.004

    Article  Google Scholar 

  • Baxter RM (1977) Environmental Effects of Dams and Impoundments. Annual Review of Ecology and Systematics 8(1): 255–283. DOI: 10.1146/annurev.es.08.110177.001351

    Article  Google Scholar 

  • Chai B, Yin K, Du J, et al. (2013) Correlation between incompetent beds and slope deformation at Badong town in the Three Gorges reservoir, China. Environmental Earth Sciences 69(1): 209–223. DOI: 10.1007/s12665-012-1948-9

    Article  Google Scholar 

  • Deng QL, Zhu ZY, Cui ZQ, et al. (2000) Mass rock creep and landsliding on the Huangtupo slope in the reservoir area of the Three Gorges Project, Yangtze River, China. Engineering Geology 58(1): 67–83. DOI: 10.1016/S0013-7952(00)00053-3

    Article  Google Scholar 

  • Dumperth C, Rohn J, Fleer A, et al. (2016) Local-scale assessment of the displacement pattern of a densely populated landslide, utilizing finite element software and terrestrial radar interferometry. A case study on Huangtupo landslide (P.R. China). Environmental Earth Sciences 75(10): 880. DOI: 10.1007/s12665-016-5475-y

    Google Scholar 

  • Ehret D, Rohn J, Dumperth C, et al.(2010) Frequency ratio analysis of mass movements in the Xiangxi catchment, Three Gorges Reservoir area, China. Journal of Earth Science 21(6): 824–834. DOI: 10.1007/s12583-010-0134-9

    Article  Google Scholar 

  • Jarvis A, Reuter HI, Nelson A, et al. (2008) Hole-filled seamless SRTM data V4, International Centre for Tropical Agriculture, (CIAT). Palmira, Colombia.

    Google Scholar 

  • Jiang J, Ehret D, Xiang W, et al. (2011) Numerical simulation of Qiaotou Landslide deformation caused by drawdown of the Three Gorges Reservoir, China. Environmental Earth Sciences 62(2): 411–419. DOI: 10.1007/s12665-010-0536-0

    Article  Google Scholar 

  • Kremers S, Zimmermann K, Fleer A (2013) Geophysical and geodetical monitoring of slope movements at the Three Gorges Dam area in China. DMT GmbH & Co. KG.

    Google Scholar 

  • Myronidis D, Papageorgiou C, Theofanous S (2016) Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP). Natural Hazards 81(1): 245–26. DOI: 10.1007/s11069-015-2075-1

    Article  Google Scholar 

  • Ohlmacher G (2007) Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Engineering Geology 91(2-4): 117–134. DOI: 10.1016/j.enggeo.2007.01.005

    Article  Google Scholar 

  • Pinyol NM, Alonso E, Olivella S (2008) Rapid drawdown in slopes and embankments. Water Resources Research 444, W00D03. DOI: 10.1029/2007WR006525

    Google Scholar 

  • Ruff M, Czurda K (2008) Landslide susceptibility analysis with a heuristic approach in the Eastern Alps (Vorarlberg, Austria). Geomorphology 94(3-4): 314–324. DOI: 10.1016/j.geomorph. 2006.10.032

    Article  Google Scholar 

  • Ruff M, Rohn J (2008) Susceptibility analysis for slides and rockfall. An example from the Northern Calcareous Alps (Vorarlberg, Austria). Environmental Geology 55(2): 441–452. DOI: 10.1007/s00254-007-0990-5

    Google Scholar 

  • Schleier M, Bi R, Rohn J, et al. (2014) Robust landslide susceptibility analysis by combination of frequency ratio, heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area, PR China. Environmental Earth Sciences 71(7): 3007–3023. DOI: 10.1007/s12665-013-2677-4

    Article  Google Scholar 

  • Schönbrodt S, Saumer P, Behrens T, et al. (2010) Assessing the USLE crop and management factor C for soil erosion modeling in a large mountainous watershed in Central China. Journal of Earth Science 21(6): 835–845. DOI: 10.1007/s12583-010-0135-8

    Article  Google Scholar 

  • Subklew G, Ulrich J, Fürst L, et al. (2010) Environmental impacts of the Yangtze Three Gorges project. An overview of the Chinese-German research cooperation. Journal of Earth Science 21(6): 817–823. DOI: 10.1007/s12583-010-0133-x

    Google Scholar 

  • Tang H, Hu X, Deng Q,et al. (2009) Research on the Characteristics and Slope Deformation Regularity of the Badong Formation in the Three Gorges Reservoir Area. In: Allan R, Förstner U, Salomons W (Eds.), Landslide Disaster Mitigation in Three Gorges Reservoir, China. Berlin, Heidelberg: Springer Berlin Heidelberg (Environmental Science and Engineering): 87–113.

    Chapter  Google Scholar 

  • Tomas R, Li Z, Liu P, et al. (2014) Spatiotemporal characteristics of the Huangtupo landslide in the Three Gorges region (China) constrained by radar interferometry. Geophysical Journal International 197(1): 213–232. DOI: 10.1093/gji/ggu017

    Article  Google Scholar 

  • Wang J, Xiang W, Lu N (2014) Landsliding triggered by reservoir operation. A general conceptual model with a case study at Three Gorges Reservoir. Acta Geotechnica 9(5): 771–788. DOI: 10.1007/s11440-014-0315-2

    Google Scholar 

  • Wang X, Zhang L, Wang S, et al. (2014) Regional landslide susceptibility zoning with considering the aggregation of landslide points and the weights of factors. Landslides 11(3): 399–409.

    Article  Google Scholar 

  • Wiesmann A, Werner C, Strozzi T, et al. (2008) Measuring deformation and topography with a portable radar interferometer. 13th FIG Symposium on Deformation Measurements and Analysis, Lisbon, Portugal.

    Google Scholar 

  • Wu X, Yu QC, He MC, et al. (2006) Slide mechanisms of a giant ancient slide body at Huangtupo, Badong County in the Three Gorges Reservoir area. IAEG2006, Paper Number 790. In: Culshaw MG, Reeves HJ, Jefferson I et al. (Eds.), The Geological Society of London.

    Google Scholar 

  • Xie L (2009) Complex geological characteristics and mechanism and control technical of landsliding of Huangtupo at Three Gorges Reservoir. PhD Thesis, Wuhan University of Technology, Wuhan, China.

    Google Scholar 

Download references

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Authors and Affiliations

  1. University of Erlangen-Nuremberg, Department of Geology and Mineralogy, Chair of Applied Geology, Erlangen-Nuremberg, Germany

    Christian Dumperth & Joachim Rohn

  2. Exploration and Geosurvey, DMT GmbH & Co. KG, Essen, Germany

    Alexander Fleer & Karsten Zimmermann

  3. Department of Geosciences, Chair of Soil Science and Geomorphology, University of Tübingen, Tübingen, Germany

    Jin-Ge Wang

  4. Department of Geotechnical Engineering and Engineering Geology, China University of Geosciences, Wuhan, People’s Republic of China

    Wei Xiang

Authors
  1. Christian Dumperth
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  2. Joachim Rohn
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  3. Alexander Fleer
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  4. Jin-Ge Wang
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  5. Wei Xiang
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  6. Karsten Zimmermann
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Corresponding author

Correspondence to Christian Dumperth.

Additional information

http://orcid.org/0000-0002-1942-0393

http://orcid.org/0000-0002-2985-964X

http://orcid.org/0000-0002-0654-7432

http://orcid.org/0000-0002-5725-0356

http://orcid.org/0000-0002-1530-4299

http://orcid.org/0000-0002-7046-130X

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Dumperth, C., Rohn, J., Fleer, A. et al. An easy approach to assess the susceptibility of a landslide by utilizing simple raster overlay methods: A case study on Huangtupo landslide (P.R. China). J. Mt. Sci. 13, 1701–1710 (2016). https://doi.org/10.1007/s11629-016-4011-6

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  • DOI: https://doi.org/10.1007/s11629-016-4011-6

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