Landslide susceptibility modelling applying user-defined weighting and data-driven statistical techniques in Cox’s Bazar Municipality, Bangladesh

Natural Hazards

Volumn 79, Issue 3, 2015, Pages 1707-1737

  Ahmed, Bayes ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Artificial hierarchy process; GIS; Landslide susceptibility mapping; Logistic regression; ROC curve; Weighted linear combination

Indexed keywords

ANALYTICAL HIERARCHY PROCESS; GIS; LANDSLIDE; MAPPING; NUMERICAL MODEL; REGRESSION ANALYSIS; REMOTE SENSING;

BANGLADESH; CHITTAGONG [BANGLADESH]; COX'S BAZAR;

EID: 84947020741     PISSN: 0921030X     EISSN: 15730840     Source Type: Journal    
DOI: 10.1007/s11069-015-1922-4     Document Type: Article

References (70)

1. Agresti A (2007) An introduction to categorical data analysis (Chapter 4), 2nd edn. Wiley, Hoboken
2. Ahmed B (2011) Urban land cover change detection analysis and modeling spatio-temporal growth dynamics using remote sensing and GIS techniques: a case study of Dhaka, Bangladesh. Masters Dissertation. University of New Lisbon (UNL), Lisbon, Portugal
3. Ahmed B (2014) Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh. Landslides. doi:10.1007/s10346-014-0521-x
4. Ahmed B, Ahmed R (2012) Modeling urban land cover growth dynamics using multi-temporal satellite images: a case study of Dhaka, Bangladesh. ISPRS Int J Geo-Inf 1(1):3–31
5. Ahmed B, Rubel YA (2013) Understanding the issues involved in urban landslide vulnerability in Chittagong Metropolitan Area, Bangladesh. Association of American Geographers (AAG), Washington
6. Ahmed B, Ahmed R, Zhu X (2013a) Evaluation of model validation techniques in land cover dynamics. ISPRS Int J Geo-Inf 2(3):577–597
7. Ahmed B, Kamruzzaman M, Zhu X, Rahman M, Choi K (2013b) Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh. Remote Sens 5(11):5969–5998
8. Ahmed B, Rahman MS, Rahman S, Huq FF, Ara S (2014) Landslide inventory report of Chittagong Metropolitan Area, Bangladesh. BUET-Japan Institute of Disaster Prevention and Urban Safety (BUET-JIDPUS); Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh. http://www.landslidebd.com/reports/. Accessed on 23 June 2015
9. Akgun A (2012) A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at Izmir, Turkey. Landslides 9:93–106
10. Alexander D (1991) Information technology in real-time for monitoring and managing natural disasters. Prog Phys Geogr 15:238. doi:10.1177/030913339101500302
11. Alexander DE (2000) Confronting catastrophe: new perspective on natural disasters (Chapter 9), 1st edn. Terra Publishing, Hertfordshire
12. Alexander DE (2004). Vulnerability to landslides. In: Glade T, Anderson M, Crozier MJ (eds) Landslide hazard and risk. Wiley, New York. doi:10.1002/9780470012659
13. Alexander D (2006) Globalization of disaster: trends, problems and dilemmas. J Int Aff 59(2):1–22
14. Alexander D (2007) Making research on geological hazards relevant to stakeholders’ needs. Quatern Int 171–172:186–192
15. Alexander DE (2008) A brief survey of GIS in mass-movement studies, with reflections on theory and methods. Geomorphology 94:261–267
16. Alexander DE (2014) Assessing vulnerability in Europe and the world. In: Birkmann J (ed) Assessment of vulnerability to natural hazards: a European perspective. Elsevier, San Diego
17. ArcGIS ® 10.2 Help (2014) Environmental systems research institute (ESRI). Redlands, CA, USA. http://resources.arcgis.com/en/help/main/10.2/. Accessed 12 February 2015
18. Armaş A (2012) Weights of evidence method for landslide susceptibility mapping Prahova Subcarpathians, Romania. Nat Hazards 60(3):937–950
19. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31. doi:10.1016/j.geomorph.2004.06.010
20. Aydi A, Zairi M, Dhia HB (2013) Minimization of environmental risk of landfill site using fuzzy logic, analytical hierarchy process, and weighted linear combination methodology in a geographic information system environment. Environ Earth Sci 68:1375–1389. doi:10.1007/s12665-012-1836-3
21. Ballabio C, Sterlacchini S (2012) Support vector machines for landslide susceptibility mapping: the Staffora River basin case study, Italy. Math Geosci 44(1):47–70
22. BBS (2013) District statistics 2011: Cox’s Bazar. Bangladesh Bureau of Statistics (BBS), Statistics and Informatics Division (SID), Ministry of Planning, Dhaka, Government of the People’s Republic of Bangladesh
23. Birkmann J (ed) (2006) Measuring vulnerability to natural hazards: towards disaster resilient societies, 1st edn. United Nations University Press, Tokyo
24. Birkmann J, Cardona OD, Carreno ML, Barbat AH, Pelling M, Schneiderbauer S, Kienberger S, Keiler M, Alexander D, Zeil P, Welle T (2013) Framing vulnerability, risk and societal responses: the MOVE framework. Nat Hazards 67:193–211. doi:10.1007/s11069-013-0558-5
25. BUET-JIDPUS (2015) Developing dynamic web-GIS based early warning system for the communities at landslide risks in Chittagong Metropolitan Area, Bangladesh. BUET-Japan Institute of Disaster Prevention and Urban Safety (BUET-JIDPUS); Bangladesh University of Engineering and Technology (BUET), Dhaka-1000, Bangladesh. http://www.landslidebd.com/warning-system/. Accessed on 24 June 2015
26. CDMP-II (2012) Comprehensive disaster management programme‐II (CDMP-II). Landslide inventory and land-use mapping, DEM preparation, precipitation threshold value and establishment of early warning devices. Ministry of Food and Disaster Management, Disaster Management and Relief Division, Government of the People’s Republic of Bangladesh
27. Couture R (2011). Landslide terminology—national technical guidelines and best practices on landslides. Geological survey of Canada, Open file 6824, 12 p
28. Cruden DM (1991) A simple definition of landslide. Bull Int As Eng Geol 43:27–29
29. Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42(3–4):213–228
30. Devkota KC, Regmi AD, Pourghasemi HR, Yoshida K, Pradhan B, Ryu IC, Dhital MR, Althuwaynee OF (2013) Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya. Nat Hazards 65:135–165. doi:10.1007/s11069-012-0347-6
31. Eastman R (2012) IDRISI Selva help system. Clark Labs, Clark University, Worcester
32. Feizizadeh B, Blaschke T (2013) GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmialake basin, Iran. Nat Hazards 65:2105–2128. doi:10.1007/s11069-012-0463-3
33. Felicísimo Á, Cuartero A, Remondo J, Quirós E (2013) Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study. Landslides 10:175–189. doi:10.1007/s10346-012-0320-1
34. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216
35. Hossain, M. (2012). Cox’s Bazar. In: Islam N (ed) Banglapedia, national encyclopaedia of Bangladesh, 2nd edn. Banglapedia Trust, Asiatic Society of Bangladesh, Dhaka, Bangladesh. http://www.banglapedia.org/HT/C_0432.htm. Accessed on 05 Feb 2015
36. ICIMOD (2015) International efforts to identify post-quake hazards. International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal. http://www.icimod.org/?q=18072. Accessed 23 June 2015
37. IFRC (2014) World disasters report 2014—focus on culture and risk. International Federation of Red Cross and Red Crescent Societies (IFRC), Geneva, Switzerland. http://www.ifrc.org/en/publications-and-reports/world-disasters-report/world-disasters-report-2013/. Accessed on 24 June 2015
38. Kavzoglu T, Sahin EK, Colkesen I (2014) Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression. Landslides 11:425–439. doi:10.1007/s10346-013-0391-7
39. Kayastha P, Dhital MR, Smedt FD (2012) Landslide susceptibility mapping using the weight of evidence method in the Tinau watershed, Nepal. Nat Hazards 63:479–498. doi:10.1007/s11069-012-0163-z
40. Kayastha P, Bijukchhen S, Dhital M, Smedt F (2013) GIS based landslide susceptibility mapping using a fuzzy logic approach: a case study from Ghurmi–Dhad Khola area, Eastern Nepal. J Geol Soc India 82(3):249–261
41. Khamehchiyan M, Abdolmaleki P, Rakei B (2011) Landslide susceptibility mapping using back propagation neural networks and logistic regression: the Sephidargole case study, Semnan, Iran. Geomech Geoeng 6(3):237–250
42. Lee S (2004) Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS. Environ Manag 34(2):223–232
43. Lee S, Lee ML (2006) Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area, Korea. Adv Space Res 38:2261–2271
44. Lee S, Sambath T (2006) Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50:847–855. doi:10.1007/s00254-006-0256-7
45. Li C, Ma T, Sun L, Li W, Zheng A (2012) Application and verification of a fractal approach to landslide susceptibility mapping. Nat Hazards 61(1):169–185
46. Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plan 62:3–65
47. Oh HJ, Pradhan B (2011) Application of a neuro-fuzzy model to landslide- susceptibility mapping for shallow landslides in a tropical hilly area. Comput Geosci 37(9):1264–1276
48. Ohlmacher GC, Davis JC (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA. Eng Geol 69:331–343. doi:10.1016/S0013-7952(03)00069-3
49. 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 68:1443–1464. doi:10.1007/s12665-012-1842-5
50. Pellicani R, Westen CJV, Spilotro G (2013) Assessing landslide exposure in areas with limited landslide information. Landslides. doi:10.1007/s10346-013-0386-4
51. Petley DN, Dunning SA, Rosser NJ (2005) The analysis of global landslide risk through the creation of a database of worldwide landslide fatalities. In: Hungr O, Fell R, Couture R, Eberhardt E (eds) Landslide risk management. AT Balkema, Amsterdam, pp 367–374
52. Pontius RG Jr, Schneider L (2001) Land-use change model validation by a ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ 85(1–3):239–248
53. Poudyal CP, Chang C, Oh HJ, Lee S (2010) Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya. Environ Earth Sci 61:1049–1064. doi:10.1007/s12665-009-0426-5
54. Pradhan B, Lee S, Buchroithner MF (2010) A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Comput Environ Urban Syst 34(3):216–235
55. Ramani SE, Pitchaimani K, Gnanamanickam VR (2011) GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis. J Mt Sci 8:505–517
56. Reis S, Yalcin A, Atasoy M, Nisanci R, Bayrak T, Erduran M, Sancar C, Ekercin S (2012) Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio and analytical hierarchy methods in Rize province (NE Turkey). Environ Earth Sci 66:2063–2073. doi:10.1007/s12665-011-1432-y
57. Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15:231–281
58. Sabokbar HF, Roodposhti MS, Tazik E (2014) Landslide susceptibility mapping using geographically-weighted principal component analysis. Geomorphology 226:15–24
59. Sezer EA, Pradhan B, Gokceoglu C (2011) Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia. Expert Syst Appl 38(7):8208–8219
60. Shahabi H, Hashim M (2015) Landslide susceptibility mapping using GIS-based statistical models and remote sensing data in tropical environment. Sci Rep 5:9899. doi:10.1038/srep09899
61. Shahabi H, Ahmad BB, Khezri S (2013) Evaluation and comparison of bivariate and multivariate statistical methods for landslide susceptibility mapping (case study: Zab basin). Arab J Geosci 6(10):3885–3907. doi:10.1007/s12517-012-0650-2
62. Sujatha E, Rajamanickam V (2011) Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanaltaluk, India, using weighted similar choice fuzzy model. Nat Hazards 59(1):401–425
63. Tachikawa T, Hato M, Kaku M, Iwasaki A (2011) The characteristics of ASTER GDEM version 2, IGARSS. http://www.jspacesystems.or.jp/ersdac/GDEM/E/1.html. Accessed 12 Oct 2014
64. Talaei R (2014) Landslide susceptibility zonation mapping using logistic regression and its validation in Hashtchin Region, Northwest of Iran. J Geol Soc India 84:68–86
65. USGS (2014) Frequently asked questions about the landsat missions. Department of the Interior, U.S. Geological Survey (USGS). http://landsat.usgs.gov/band_designations_landsat_satellites.php. Accessed 13 Feb 2015
66. USGS (2015) USGS global visualization viewer. Department of the Interior, U.S. Geological Survey (USGS). http://glovis.usgs.gov/index.shtml. Accessed 10 Feb 2015
67. Wisner B, Blaikie P, Cannon T, Davis I (2004) At Risk: natural hazards, people’s vulnerability and disasters, 1st edn. Routledge, New York
68. Yeon YK, Han JG, Ryu KH (2010) Landslide susceptibility mapping in Injae, Korea, using a decision tree. Eng Geol 116(3):274–283
69. Yilmaz C, Topal T, Süzen M (2012) GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey). Environ Earth Sci 65(7):2161–2178
70. Zhang X, Yang F (2004). RClimDex (1.0): User manual. Climate Research Branch, Environment Canada, Downsview, Ontario, Canada