Application of linear indexing model and GIS techniques for the slope movement susceptibility modeling in Bousselam upstream basin, Northeast Algeria

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• 作者：Riheb Hadji ; Abdelmadjid Chouabi ; Larbi Gadri…
• 关键词：Setif ; Analytic ; heuristic ; Susceptibility ; Natural breaks ; Land use planning
• 刊名：Arabian Journal of Geosciences
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：9
• 期：3
• 全文大小：1,732 KB
• 参考文献：Abul Hasanat MH, Ramachandram D, Mandava R (2010) Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study. Artif Intell Rev 34(4):291–308CrossRef
  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 9:93–106CrossRef
  Akgun A, Kincal C, Pradhan B (2012) Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir City (West Turkey). Environ Monit Assess 184:5453–5470CrossRef
  Anbalagan R (1992) Landslide hazard assessment and zonation mapping in mountainous terrain. Eng Geol 32:269–277CrossRef
  Ayalew L, Yamagishi H, Ugawa N (2004) Landslide susceptibility mapping using GIS based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan. Landslides 1:73–81CrossRef
  Baeza C, Corominas J (2001) Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth Surf Process Landf 26:1251–1263CrossRef
  Bouhadad Y (2008) Seismic hazard assessment in Algeria: a case study of Oran region, Northwest of Algeria. The 14th World Conference on Earthquake Engineering October 12–17, 2008, Beijing, China
  Bouhadad Y, Nour A, Laouami N, Belhai D (2003) The Beni-Ourtilane-Tachaouaft fault and seismotectonic aspects of the Babors region (NE of Algeria). J Seismol 7:79–88CrossRef
  Bourenane H, Bouhadad Y, Guettouche MS, Braham M (2014) GIS-based landslide susceptibility zonation using bivariate statistical and expert approaches in the city of Constantine (NE Algeria). Bull Eng Geol Environ:1–19
  Chung CJF, Fabbri AG (1999) Reasonning prediction models for landslide hazard mapping. Photogramm Eng Remote Sens 65(12):1389–1399
  Conforti M, Aucelli PP, Robustelli G, Scarciglia F (2011) Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy). Nat Hazards 56(3):881–898CrossRef
  Cornell CA, Van Marke EH (1969) The major influence on seismic risk. Proceedings of the third conference on earthquake engineering. Santiago, Chile. V: A-1, 69–93
  Demir G, Aytekin M, Akgun A (2014) Landslide susceptibility mapping by frequency ratio and logistic regression methods: an example from Niksar–Resadiye (Tokat, Turkey). Arab J Geosci 8:1801–1812CrossRef
  Djerbal L, Melbouci B (2013) Contribution to the mapping of the landslide of Aїn El Hammam (Algeria). Adv Mater Res 601:332–336CrossRef
  Djerbal L, Alimrina N, Melbouci B, Bahar R (2014) Mapping and management of landslide risk in the city of Azazga (Algeria). In: Sassa K et al. (eds.) Landslide Science for a Safer Geoenvironment, Vol. 2
  Domzig A (2006) Active and recent deformation and tectonosedimentaire structuring of the Algerian margin underwater. PHD Thesis Bretagne occidentale, Brest University, France
  England K (2011) A GIS approach to landslide hazard management for the West Coast region, New Zealand. A thesis of Master of Science in Hazard and Disaster Management, Canterbury University, 169p
  Goovaerts P (2010) Geostatistical software. Handbook of applied spatial analysis: software tools methods and applications. In: Fischer MM, Getis A (eds), Springer, Berlin, pp. 129–138
  Grozavu A, Plescan S, Patriche CV, Margarint MC, Rosca B (2013) Landslide susceptibility assessment: GIS application to a complex mountainous environment, the carpathians: integrating nature and society towards sustainability. Environ Sci Eng:31–44
  Guadri L, Hadji R, Zahri F, Raїs K (2015) The quarries edges stability in opencast mines: a case study of the Jebel Onk phosphate mine, NE Algeria. Arab J Geosci-D-14-01383. doi:10.​1007/​s12517-015-1887-3
  Guettouche MS (2013) Modeling and risk assessment of landslides using fuzzy logic. Application on the slopes of the Algerian Tell (Algeria). Arab J Geosci 6:3163–3173CrossRef
  Guzzetti F (2005) Landslide hazard and risk assessment. Unpublished PhD Thesis. PP. 389. University of Bonn, 11/2005
  Hadji R (2013) Control of geological and climatic factors on landslides in the region of Souk Ahras and Guelma, Northeast Algerian. PhD thesis University of Badji Mokhtar-Annaba, 198 p
  Hadji R, Baghem M, Boumazbeur A, Limani Y (2012) Landslides risk mapping study and their impact on the territory of Souk Ahras Province, N-E Algeria. In: Proceedings of the Sixth International Conference Geo-Tunis, Tunis, 26–30 March 2012, pp. 116–125
  Hadji R, Boumazbeur A, Limani Y, Baghem M, Chouabi A (2013) Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: a case study of Souk Ahras region, NE Algeria. Quat Int 302:224–237CrossRef
  Hadji R, Boumazbeur A, Demdoum A, Limani Y (2014) Climate change and their influence on shrinkage-swelling clays susceptibility in a semi-arid zone: a case study of Souk Ahras Municipality, NE-Algeria. Desalin Water Treat 52:10–12CrossRef
  Haneberg WC, Gokce AO, (1994) Rapid water-level fluctuationsin a thin colluvium landslide west of Cincinnati. U.S. Geological Survey Bulletin 2059-C (16 p)
  Harbi A, Maouche S, Ayadi H (1999) Neotectonics and associated seismicity in the Eastern Tellian Atlas of Algeria. J Seismol 3:95–104CrossRef
  Harbi A, Maouche S, Benhallou H (2003) Re-appraisal of seismicity and seismotectonics in the North-Eastern Algeria Part II: 20th century seismicity and seismotectonics analysis. J Seismol 7:221–234CrossRef
  Jaupaj O, Lateltin O, Lamaj M (2014) Landslide susceptibility of Kavaja, Albania. In: Landslide science for a safer geoenvironment. p 351–356
  Jibson RW (1996) Use of landslides for paleoseismic analysis. Eng Geol 43(4):291–323CrossRef
  Kamp U, Growley B, Khattak G, Ghazanfar A, Owen L (2008) GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region. Geomorphology 101:631–642CrossRef
  Kundu S, Saha AK, Sharma DC, Pant CC (2013) Remote sensing and GIS based landslide susceptibility assessment using binary logistic regression model: a case study in the Ganeshganga Watershed, Himalayas. J Indian Soc Remote Sens 41(3):697–709CrossRef
  Lee S, Choi U (2003) Development of GIS-based geological hazard information system and its application for landslide analysis in Korea. Geosci J 7:243–252CrossRef
  Mair A, Fares A (2010) Assessing rainfall data homogeneity and estimating missing records in Makaha Valley, O‘ahu, Hawai. J Hydrol Eng 15(1):61–66CrossRef
  Malet JP, Maquaire O (2008) Risk assessment methods of landslides, RAMSOIL report 2.2. Accessible via www.​ramsoil.​eu
  Mastere M (2011) Mass movements susceptibility in the Chefchaouen Province (central Rif, Morocco): spatial analysis, multi-scale probabilistic modeling and impact on development and planning. PhD thesis, University of Western Brittany, 316 p
  Mastere M, Van Vliet LB, Mansour M, Aїt Brahim L (2011) Spatiotemporal analysis of landslides using digital photogrammetry and DEM. Remote Sens Rev 10:147–156
  Mastere M, Van Vliet Lanoë B, Aїt Brahim L, El Moulat M (2014) A linear indexing approach to mass movements susceptibility mapping: a case of the Chefchaouen Province (Morocco). Revue internationale de géomatique 05/2015; 25(2):245–265
  Ohlmacher GC, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Eng Geol 69:331–343CrossRef
  Pallás R, Manuel J, Marta V, Ester Falgása G, Alemanya X, Muñoz AA (2004) Pragmatic approach to debris flow hazard mapping in areas affected by Hurricane Mitch: example from NW Nicaragua. Eng Geol 72:57–72CrossRef
  Pareek N, Sharma ML, Arora MK (2010) Impact of seismic factors on landslide susceptibility zonation: a case study in part of Indian Himalayas. Landslides 7(2):191–201CrossRef
  Parise M, Jibson WR (2000) A seismic landslide susceptibility rating of geologic units based on analysis of characteristics of landslides triggered by the 17 January, 1994 Northridge, California earthquake. Eng Geol 58:251–270CrossRef
  Park S, Choi C, Kim B, Kim J (2013) Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environ Earth Sci 68:1443–1464CrossRef
  Phillips JD (2006) Evolutionary geomorphology: thresholds and nonlinearity in landform response to environmental change. Hydrol Earth Syst Sci Discuss 3(2):365–394CrossRef
  Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63:965–996CrossRef
  Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR (2013) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci 6:2351–2365CrossRef
  Pradhan B (2013) A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Comput Geosci 51:350–365CrossRef
  Pradhan B, 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 modeling. Environ Model Software 25(6):747–759CrossRef
  Regmi AD, Devkota KC, Yoshida K, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A (2014) Application of frequency ratio, statistical index, and weights of evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya. Arab J Geosci 7(2):725–742CrossRef
  Sadigh K, Chang CY, Abrahamson NA, Chiou SJ, Power MS (1993) Specification of long period ground motion. Updated attenuation relationships for rock site conditions and adjustment factors for near fault effects. Proceedings of ATC-17-1 seminar on seismic isolation, passive energy dissipation, and active control. March 11–12 San Francisco, California, pp. 59–70
  Saunders W, Glassey P (2007). Guidelines for assessing planning, policy and consent requirements for landslide prone land. GNS Science Miscellaneous Series 7, Feb. 2007
  Schumm SA (1979) Geomorphic thresholds: the concept and its applications transactions of the Institute of British Geographers, NS4: 4, 485–515
  Schumm SA (1991) To interpret the earthten ways to be wrong. Cambridge University Press, New York
  Schumm SA, Dumont JF, Holbrook JM (2000) Active tectonics and alluvial rivers. Cambridge University Press, New York
  Sharma LP, Nilanchal P, Ghose MK, Debnath P (2013) Synergistic application of fuzzy logic and geo-informatics for landslide vulnerability zonation—a case study in Sikkim Himalayas. India Appl Geomat 5:271–284CrossRef
  Thibault S (2011) Barycentre d’un reseau fractal, lagtime et temps de concentration. HAL Id: hal-00655526 https://​hal.​archives-ouvertes.​fr/​hal-00655526
  Thiery Y, Malet JP, Sterlacchini S, Puissant A, Maquaire O (2007) A landslide susceptibility assessment by bivariate methods at large scales: application to a complex mountainous environment. Geomorphology 92:38–59CrossRef
  Varnes DJ (1978) Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) Special report 176: landslides: analysis and control. Transportation and Road Research Board, National Academy of Science, Washington D. C, pp 11–33
  Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, France, pp 1–63
  Vila JM (1980) La chaine alpine nord-orientale et des confins algéro-tunisiens. Thèse Doctorat, Université P. et M. Curie, Paris VI
  Wells DL, Coppersmith KJ (1994) Updated empirical relationships among magnitude, rupture length, rupture area, and surface displacement. Bull Seismol Soc Am 84:974–1002
  Youssef AM, Pradhan B, Tarabees E (2010) Integrated evaluation of urban development 550 suitability based on remote sensing and GIS techniques: contribution from analytic 551 hierarchy process. Arab J Geosci 4(3–4):463–473
  Zhou CH, Lee CF, Li J, Xu ZW (2002) On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 43:197–207CrossRef
  
• 作者单位：Riheb Hadji (1) (2)
  Abdelmadjid Chouabi (3)
  Larbi Gadri (4)
  Khaled Raïs (5)
  Younes Hamed (6)
  Abderahmene Boumazbeur (7) (8)
  
  1. Department of Earth Sciences, Institute of Architecture and Earth Sciences, Ferhat Abbas Setif 1 University, Setif, 19000, Algeria
  2. Laboratory of sedimentary environment, mineral and hydro resources, LESRMHAO, Tebessa University, Tebessa, 12002, Algeria
  3. Laboratory of Geodynamics and Natural Resources LGRN, Badji Mokhtar University, Annaba, Algeria
  4. Mining Engineering Department and Mines Laboratory, Chieckh Larbi Tebessi University, Tebessa, Algeria
  5. Electro-Mechanical Department, University of Skikda, Skikda, Algeria
  6. Department of Earth Sciences, Faculty of Sciences, Gabes University, Gabes, Tunisia
  7. Department of Earth Sciences, Faculty of Sciences, Tebessa University, Tebessa, Algeria
  8. LESRMHAO Laboratory, Tebessa University, Tebessa, Algeria
  
• 刊物类别：Earth and Environmental Science
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538

文摘

The main objective of this study was to assess spatial prediction of slopes movement susceptibility in the Bousselam upstream basin, northeast of Algeria, using a linear indexing model and Geographic Information Systems. First, the locations of 1109 slope instabilities, which occurred in the last three decades, were mapped upon data from various sources such as follows: remote sensing, aerial photographs interpretation, and internal reports compilation. This slope movement inventory was randomly segmented into training and validation datasets (75 % of the known events locations were used for training and building the model and the remaining 25 % for its validation). Second, nine natural and anthropogenic causing factors were mapped as independent variables: geological factors (lithology and faults density), morphometric factors (slope, aspect, and elevations), environmental factors (precipitations, seism, and stream network density), and the land use factor (roads and rail network density). Third, the relative value of each categorical variable involved in the slope movements emergence was assessed (categorization of evaluation criteria, standardization of factors, and weighting of variables). Then, a global index value of slopes movement susceptibility was calculated for each cell in the study area by using a linear indexing model. Finally, the slopes movement susceptibility map was categorized into five hierarchic classes and validated using the validation dataset that was not used in the model building. The area under the curve was included to assess prediction capability of the adopted model (sensitivity = 0.83 and 1 − specificity = 0.74). The resulted susceptibility map may be used for preliminary land planning purposes.