Abstract
Precipitation frequently triggers shallow landslides in the Loess Plateau of Shaanxi, China, resulting in loss of life, damage to gas and oil routes, and destruction of transport infrastructure and farmland. To assess the possibility of shallow landslides at different precipitation levels, a method to draw slope units and steepest slope profiles based on ARCtools and a new method for calculating slope stability are proposed. The methods were implemented in a case study conducted in Yan’an, north-west China. High resolution DEM (Digital Elevation Model) images, soil parameters from in-situ laboratory measurements and maximum depths of precipitation infiltration were used as input parameters in the method. Next, DEM and reverse DEM were employed to map 2146 slope units in the study area, based on which the steepest profiles of the slope units were constructed. Combining analysis of the water content of loess, strength of the sliding surface, its response to precipitation and the infinite slope stability equation, a new equation to calculate infinite slope stability is proposed to assess shallow landslide stability. The slope unit stability was calculated using the equation at 10-, 20-, 50- and 100-year return periods of antecedent effective precipitation. The number of slope units experiencing failure increased in response to increasing effective antecedent rainfall. These results were validated based on the occurrence of landslides in recent decades. Finally, the applicability and limitations of the model are discussed.
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References
Acharya G, De Smedt F and Long N T 2005 Assessing landslide hazard in GIS: A case study from Rasuwa, Nepal; Bull. Eng. Geol. Env. 65 99–107.
Akgun A 2012 A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at İzmir, Turkey; Landslides 9 (1) 93–106.
Baeza C and Corominas J 2001 Assessment of shallow landslide susceptibility by means of multivariate statistical techniques; Earth Surf. Proc. Land. 26 (12) 1251–1263.
Bai S B, Wang J, Lü G N, Zhou P G, Hou S S and Xu S N 2010 GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China; Geomorphology 115 (1) 23–31.
Baum R L and Godt J E 2010 Early warning of rainfall-induced shallow landslides and debris flows in the USA; Landslides 7 259–272.
Baum R L, Savage W Z and Godt J W 2008 TRIGRS – A FORTRAN program for transient rainfall infiltration and grid based regional slope stability analysis, version 2.0; U.S. Geological Survey Open-File Report 2008–1159, p. 75.
Caine N 1980 The rainfall intensity-duration control of shallow landslides and debris flows; Geogr. Ann. A 62 23–27.
Claessens L, Heuvelink G B M, Schoorl J M and Veldkamp A 2005 DEM resolution effects on shallow landslide hazard and soil redistribution modelling; Earth Surf. Proc. Land. 30 (4) 461–477.
De Vita P, Reichenbach P, Bathurst J C, Borga M, Crosta G, Crozier M and Wasowski J 1998 Rainfall-triggered landslides: A reference list; Environ. Geol. 35 (2) 219–233.
De Vleeschauwer C and De Smedt F 2002 Modeling slope stability using GIS on a regional scale; Proceedings of the first Geological Belgica International Meeting, Leuven, 11–15 September 2002; Aardkundige Mededelingen 12 253–256.
Derbyshire E, Meng X M and Dijkstra T A 2000 Landslides in the Thick Loess Terrain of North-West China; John Wiley & Sons Ltd., London.
Dhakal A S and Sidle R C 2003 Long-term modelling of landslides for different forest management practices; Earth Surf. Proc. Land. 28 (8) 853–868.
Dijkstra T A, Rogers C D F and van Asch T W J 1995 Cut slope and terrace edge failures in Malan Loess, Lanzhou, PR China; In: Proceedings of the XI ECSMFE Conference, Copenhagen, pp. 61–67.
Ercanoglu M and Gokceoglu C 2004 Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey); Eng. Geol. 75 (3) 229–250.
Godt J W, Baum R L and Chleborad A F 2006 Rainfall characteristics for shallow landsliding in Seattle, Washington, USA; Earth Surf. Proc. Land. 31 97–110.
Gomez H and Kavzoglu T 2005 Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela; Eng. Geol. 78 (1) 11–27.
Gorsevski P V, Gessler P E and Jankowski P 2003 Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard ; J. Geogr. Syst. 5 (3) 223–251.
Gupte S S, Singh R, Vishal V and Singh T N 2013 Detail investigation of stability of in-pit dump slope and its capacity optimization; Int. J. Earth Sci. Eng. 6 (2) 146–159.
Guzzetti F, Peruccacci S, Rossi M and Stark C P 2007 Rainfall thresholds for the initiation of landslides in central and southern Europe; Meteorol. Atmos. Phys. 98 239–267.
Guzzetti F, Peruccacc S, Ross M and Stark C P 2008 The rainfall intensity-duration control of shallow landslides and debris flows: An update; Landslides 5 3–17.
Huang Z Q and He P 2007 Research of slope stability on effective rainfall; J. North China Institute of Water Conservancy and Hydroelectric Power 28 (3) 53–56 (in Chinese).
Li T L, Long J H and Li X S 2007 Types of loess landslides and methods for their movement forecast; J. Eng. Geol. 15 (1) 500–506 (in Chinese).
Li T L, Wang C Y and Li P 2013a Loess deposit and loess landslides on the Chinese Loess Plateau; In: Progress of Geo-Disaster Mitigation Technology in Asia (eds) Wang F and Li T L, Environ. Sci. Eng., pp. 235–261.
Li T L, Wang C Y and Li P 2013b The mechanisms for initiation and motion of Chinese loess landslides; In: Progress of Geo-Disaster Mitigation Technology in Asia (eds) Wang F and Li T L, Environ. Sci. Eng., pp. 105–122.
Liu T S 1985 Loess and the environment; Science Press, Beijing (in Chinese).
Maidment D R 2002 Arc Hydro: GIS for water resources; Vol. 1, ESRI Inc.
Montgomery D R and Dietrich W E 1994 A physically based model for the topographic control on shallow landsliding; Water Resour. Res. 30 (4) 1153–1171.
Muntohar A S and Liao H J 2010 Rainfall infiltration: Infinite slope model for landslides triggering by rainstorm; Nat. Hazards 54 (3) 967–984.
Muthu K, Petrou M, Tarantino C and Blonda P 2008 Landslide possibility mapping using fuzzy approaches; Geosci. Remote Sens. 46 (4) 1253–1265.
Pack R T, Tarboton D G and Goodwin C N 1999 SINMAP 2.0 – A stability index approach to terrain stability hazard mapping, User’s manual; Terratech Consulting Ltd., Salmon Arm, Canada.
Paulín G L, Bursik M, Hubp J L, Mejía L M P and Quesada F A 2014 A GIS method for landslide inventory and susceptibility mapping in the Río El Estado watershed, Pico de Orizaba volcano, México; Nat. Hazards 71 (1) 229–241.
Peng J B, Fan Z J, Di W, Zhuang J Q, Dai F C, Chen W W and Zhao C 2015 Heavy rainfall triggered loess–mudstone landslide and subsequent debris flow in Tianshui, China; Eng. Geol. 186 (24) 79.
Pradhan B and Lee S 2010 Landslide susceptibility assessment and factor effect analysis: Back propagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling; Environmental Modelling Software 25 (6) 747–759.
Sarkar K, Tiwary A and Singh T N 2010 Estimation of strength parameters of rock using artificial neural networks; B. Eng. Geol. Environ. 69 599–606.
Sarkar K, Vishal V and Singh T N 2012 An empirical correlation of index geomechanical parameters with the compressional wave velocity; Geotechn. Geol. Eng. 30 469–479.
Singh R, Vishal V and Singh T N 2012 Soft computing method for assessment of compressional wave velocity; Scientia Iranica-Trans. Civil Eng. 19 (4) 1018–1024.
Singh R, Vishal V, Singh T N and Ranjith P G 2013 A comparative study of generalised regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rock; Neural Comput. Appl. 23 499–506.
Singh T N, Singh R, Singh B, Sharma L K, Singh R and Ansari M K 2016 Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India; Nat. Hazards 81 (3) 2019–2030.
Song W R 1990 Frondtion engineering; Traslated by Wan G C, Beijing, Transportation Press, pp. 184–186.
Tangestani M H 2004 Landslide susceptibility mapping using the fuzzy gamma approach in a GIS, Kakan catchment area, southwest Iran; Aust. J. Earth Sci. 51 (3) 439–450.
Thomas D M and Benson M A 1970 Generalization of stream flow characteristics from drainage-basin characteristics; US Geological Survey, Water Supply Paper 1975.
Van Westen C J and Trelirn T J 1996 An approach deterministic landslide hazard analysis in GIS: A case study Manizales (Colombia); Earth Surf. Proc. Land. 21 853–868.
Wang R G, Yan S W, Deng W D and Lu H X 2004 Reliability analysis of highway subgrade stability based on mean rainfall amount; Rock and Soil Mechanics 25 (11) 1733–1738 (in Chinese).
Wang G, Zhang D, Furuya G and Yang J 2014 Pore-pressure generation and fluidization in a loess landslide triggered by the 1920 Haiyuan earthquake, China: A case study; Eng. Geol. 174 36–45.
Wang G, Li T, Xing X and Zou Y 2015 Research on loess flow-slides induced by rainfall in July 2013 in Yan’an, NW China; Environ. Earth Sci. 73 (12) 7933–7944.
Wang Q, Li W, Wu Y, Pei Y, Xing M and Yang D 2016 A comparative study on the landslide susceptibility mapping using evidential belief function and weights of evidence models; J. Earth Syst. Sci. 125 (3) 645–662.
Wu W and Sidle R C 1995 A distributed slope stability model for steep forested basins; Water Resour. Res. 31 (8) 2097–2110.
Xie M, Esaki T and Zhou G 2003a GIS method for slope-unit-based 3D landslide hazard evaluation; Chinese J. Rock Mech. Eng. 22 (6) 969–976.
Xie M, Esaki T, Zhou G and Mitani Y 2003b Geographic information systems-based three-dimensional critical slope stability analysis and landslide hazard assessment; J. Geotech. Geoenviron. 129 (12) 1109–1118.
Xu Z J, Lin Z G and Zhang M S 2007 Loess in China and loess landslides; Chin. J. Rock Mech. Eng. 26 (7) 1297–1312 (in Chinese).
Xu L, Dai F C, Kang G L, Tham L G and Tu X B 2009 Analysis of some special engineering-geological problems of loess landslide; Chinese J. Geotech. Eng. 31 (2) 288–292 (in Chinese).
Yesilnacar E and Topal T 2005 Landslide susceptibility mapping: A comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey); Eng. Geol. 79 (3) 251–266.
Zhang M S and Liu J 2010 Controlling factors of loess landslides in western China; Environ Earth Sci. 59 1671–1680.
Zhang D X, Wang G H, Luo C, Chen J and Zhou Y 2009 A rapid loess flowslide triggered by irrigation in China; Landslides 6 (1) 55–60.
Zhang C L, Li P, Li T L and Zhang M S 2014 In-situ observation on rainfall infiltration in loess; Shuili Xubao 45 (6) 728–734 (in Chinese).
Zhu T X 2012 Gully and tunnel erosion in the hilly Loess Plateau region, China; Geomorphology 153 144–155.
Zhuang J Q and Peng J B 2014 A coupled slope cutting – a prolonged rainfall-induced loess landslide: A 17 October 2011 case study; B. Eng. Geol. Environ. 73 (4) 997–1011.
Zhuang J Q, Peng J B and Zhang L Y 2013 Risk assessment and prediction of shallow landslide at different precipitation in loess plateau; J. of Jinlin University (Earth Sci. Edn.) 43 (3) 867–876 (in Chinese).
Zhuang J Q, Iqbal J, Peng J B and Liu T M 2014 Probability prediction model for landslide occurrences in Xi’an, Shaanxi Province, China; J. Mt. Sci. 11 (2) 345–359.
Acknowledgements
The authors wish to thank Dr Fanyu Zhang, Yazhe Li, Penghui Ma, Liyong Zhang and Dr Di Wu for their contributions and involvement in the field investigations and experiments. We would also like to express our gratitude to the academic and technical staff of the Institute of Geo-hazards Mitigation and Research of Chang’an University and Chen Wenbo from the CEE of the PolyU of HongKong, China. This study was financially supported by the National Basic Research Program of China (No. 2014CB744703), the National Natural Science Foundation of China (Grant Nos. 41572272, 41661134015 and 41130753) and the Central University Founding of the Chang’an University (310826163503). The authors would also like to acknowledge the two anonymous reviewers and the editor for their helpful comments on the earlier version of the manuscript.
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ZHUANG, J., PENG, J., XU, Y. et al. Assessment and mapping of slope stability based on slope units: A case study in Yan’an, China. J Earth Syst Sci 125, 1439–1450 (2016). https://doi.org/10.1007/s12040-016-0741-7
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DOI: https://doi.org/10.1007/s12040-016-0741-7