참고문헌 (58)

1. J Hydrol KAN Adiat 440-41 75 2012 10.1016/j.jhydrol.2012.03.028 Adiat KAN, Nawawi MNM, Abdullah K (2012) Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool-a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440-41:75-89 

   상세보기

2. Ann Assoc Am Geogr M Aniya 75 1 102 1985 10.1111/j.1467-8306.1985.tb00061.x Aniya M (1985) Landslide-susceptibility mapping in the Amahata river basin, Japan. Ann Assoc Am Geogr 75(1):102-114 

   상세보기

3. Hydrol Sci Bull Beven and Kirkby 24 43 1979 10.1080/02626667909491834 Beven and Kirkby (1979) A physically based variable contributing area model of basin hydrology. Hydrol Sci Bull 24:43-69 

   상세보기

4. Dis Prev Manag L Billa 15 233 2006 10.1108/09653560610659775 Billa L, Shattri M, Mahmud AR, Ghazali AH (2006) Comprehensive planning and the role of SDSS in flood disaster management in Malaysia. Dis Prev Manag 15:233-240 

   상세보기

5. GF Bonham-Carter 1994 Computer methods in the geosciences Bonham-Carter GF (1994) Geographic information systems for geoscientists: modeling with GIS. In: Bonham-Carter F (ed) Computer methods in the geosciences. Pergamon, Oxford 

6. Nat Hazards YR Chen 59 3 1261 2011 10.1007/s11069-011-9831-7 Chen YR, Yeh CH, Yu B (2011) Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan. Nat Hazards 59(3):1261-1276 

   상세보기

7. Nat Hazard CF Chung 30 451 2003 10.1023/B:NHAZ.0000007172.62651.2b Chung CF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazard 30:451-472 

   상세보기

8. Stoch Env Res Risk Assess J Du 27 2 377 2013 10.1007/s00477-012-0589-6 Du J, Fang J, Xu W, Shi P (2013) Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province China. Stoch Env Res Risk Assess 27(2):377-387 

   상세보기

9. J Earth Syst Sci A Haghizadeh 126 39 2017 10.1007/s12040-017-0819-x Haghizadeh A, Siahkamari S, Haghiabi AH, Rahmati O (2017) Forecasting flood-prone areas using Shannon’s entropy model. J Earth Syst Sci 126:39. https://doi.org/10.1007/s12040-017-0819-x 

   상세보기

10. Nat Hazards X Huang 47 65 2008 10.1007/s11069-007-9197-z Huang X, Tan H, Zhou J, Yang T, Benjamin A, Wen SW, Li S, Liu A, Li X, Fen S, Li X (2008) Flood hazard in Hunan province of China: an economic loss analysis. Nat Hazards 47:65-73 

    상세보기

11. Geocarto Int MN Jebur 2013 10.1080/10106049.2013.848944 Jebur MN, Mohd Shafri HZ, Pradhan B, Tehrany MS (2013) Per-pixel and object oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery. Geocarto Int. https://doi.org/10.1080/10106049.2013.848944 

    상세보기

12. J Chem Soc Pak H Khan 30 246 2008 Khan H, Haider S, Saeed K, Ali N (2008) Assessment of potable water quality of Kohat division and its impact on health. J Chem Soc Pak 30:246-250 

    상세보기

13. Environ Earth Sci MB Kia 67 251 2012 10.1007/s12665-011-1504-z Kia MB, Pirasteh S, Pradhan B, Rodzi MA, Sulaiman WNA, Moradi A (2012) An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environ Earth Sci 67:251-264 

    상세보기

14. Water Resour Manag O Kisi 26 2 457 2012 10.1007/s11269-011-9926-7 Kisi O, Nia AM, Gosheh MG, Tajabadi MRJ, Ahmadi A (2012) Intermittent streamflow forecasting by using several data driven techniques. Water Resour Manag 26(2):457-474 

    상세보기

15. Z Kugler 1 2007 The Global Flood Detection system; EUR 23303 EN Kugler Z, Groeve TD (2007) The Global Flood Detection system; EUR 23303 EN. Office for Official Publications of the European Communities, Luxembourg, pp 1-45 

16. J Indian Soc Remote Sens P Kumar 19 4 245 1991 10.1007/BF03023971 Kumar P, Tiwari KN, Pal DK (1991) Establishing SCS runoff curve number from IRS digital database. J Indian Soc Remote Sens 19(4):245-251 

    상세보기

17. 10.1109/IGARSS.2012.6351414 Lee MJ, Kang JE, Jeon S (2012) Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. In: Proceedings of Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. Munich, 895-898 

    

18. Adv Mater Res XH Li 356-360 2372 2012 10.4028/www.scientific.net/AMR.479-481.2372 Li XH, Zhang Q, Shao M, Li YL (2012) A comparison of parameter estimation for distributed hydrological modelling using automatic and manual methods. Adv Mater Res 356-360:2372-2375 

    상세보기

19. IEEE Trans Geosci Remote Sens X Liao 47 1454 2009 10.1109/TGRS.2008.2005268 Liao X, Carin L (2009) Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing. IEEE Trans Geosci Remote Sens 47:1454-1466 

    상세보기

20. J Hydrol A Lohani 442 23 2012 10.1016/j.jhydrol.2012.03.031 Lohani A, Kumar R, Singh R (2012) Hydrological time series modeling: a comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques. J Hydrol 442:23-35 

    상세보기

21. Manandhar B (2010) Flood Plain Analysis and Risk Assessment of Lothar Khola, MSc Thesis, Tribhuvan University, Phokara, Nepal, pp. 64 

22. Nat Hazard V Markantonis 69 1535 2013 10.1007/s11069-013-0762-3 Markantonis V, Meyer V, Lienhoop N (2013) Evaluation of the environmental impacts of extreme floods in the Evros River basin using contingent valuation method. Nat Hazard 69:1535-1549 

    상세보기

23. Nat Hazard Earth Syst Sci B Merz 10 1697 2010 10.5194/nhess-10-1697-2010 Merz B, Kreibich H, Schwarze R, Thieken A (2010) Assessment of economic flood damage. Nat Hazard Earth Syst Sci 10:1697-1724 

    상세보기

24. Int J Adv Sci Technol B Pal 3 2 106 2011 Pal B, Samanta S (2011) Surface runoff estimation and mapping using remote sensing and geographic information system. Int J Adv Sci Technol 3(2):106-114 

25. Int J Adv Eng Technol B Pal 2 1 357 2012 Pal B, Samanta S, Pal DK (2012) Morphometric and Hydrological analysis and mapping for Watut watershed using Remote Sensing and GIS techniques. Int J Adv Eng Technol 2(1):357-368 

26. Water Resour Manag DP Patel 27 2353 2013 10.1007/s11269-013-0291-6 Patel DP, Srivastava PK (2013) Flood hazards mitigation analysis using remote sensing and GIS: correspondence with town planning scheme. Water Resour Manag 27:2353-2368 

    상세보기

27. Iran. Nat Hazards. HR Pourghasemi 63 965 2012 10.1007/s11069-012-0217-2 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 63:965-996 

    상세보기

28. Arab J Geosci HR Pourghasemi 7 5 1857 2014 10.1007/s12517-012-0825-x Pourghasemi HR, Moradi HR, Aghda SMF, Gokceoglu C, Pradhan B (2014) GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran). Arab J Geosci 7(5):1857-1878 

    상세보기

29. J Spatial Hydrol B Pradhan 9 1 2010 Pradhan B (2010) Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. J Spatial Hydrol 9:1-18 

30. Environ Eng Geosci B Pradhan 16 107 2010 10.2113/gseegeosci.16.2.107 Pradhan B, Buchroithner MF (2010) Comparison and validation of landslide susceptibility maps using an artificial neural network model for three test areas in Malaysia. Environ Eng Geosci 16:107-126 

    상세보기

31. Comput Geosci B Pradhan 63 34 2014 10.1016/j.cageo.2013.10.011 Pradhan B, Hagemann U, Tehrany MS, Prechtel N (2014) An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image. Comput Geosci 63:34-43 

    상세보기

32. Precision Agric Qin 12 32 2011 10.1007/s11119-009-9152-y Qin et al (2011) An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agric 12:32-43 

    상세보기

33. Geomat Nat Hazard Risk O Rahmati 2016 10.1080/19475705.2015.1045043 Rahmati O, Zeinivand H, Besharat M (2016a) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Hazard Risk. https://doi.org/10.1080/19475705.2015.1045043 

    

34. 10.1080/10106049.2015.1041559 Rahmati O, Pourghasemi HR, Zeinivand H (2016b) Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto International. https://doi.org/10.1080/10106049.2015.1041559 

    상세보기

35. J Soil Water Conserv KV Rao 40 1 1996 Rao KV, Bhattacharya AK, Mishra K (1996) Runoff estimation by curve number method- case studies. J Soil Water Conserv 40:1-7 

36. Geomorphology NR Regmi 115 172 2010 10.1016/j.geomorph.2009.10.002 Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115:172-187 

    상세보기

37. Landslides AK Saha 2 1 61 2005 10.1007/s10346-004-0039-8 Saha AK, Gupta RP, Sarkar I, Arora KM, Csaplovics E (2005) An approach for GIS-based statistical landslide susceptibility zonation with a case study in the Himalayas. Landslides 2(1):61-69 

    상세보기

38. Indian J Sci Technol S Samanta 4 6 636 2011 10.17485/ijst/2011/v4i6.22 Samanta S, Pal DK, Lohar D, Pal B (2011) Preparation of digital data sets on land use/land cover, soil and digital elevation model for temperature modelling using Remote Sensing and GIS techniques. Indian J Sci Technol 4(6):636-642 

    상세보기

39. Theor Appl Climatol S Samanta 107 1 35 2012 10.1007/s00704-011-0455-3 Samanta S, Pal DK, Lohar D, Pal B (2012) Interpolation of climate variables and temperature modeling. Theor Appl Climatol 107(1):35-45. https://doi.org/10.1007/s00704-011-0455-3 

    상세보기

40. Hydrology S Samanta 3 3 29 2016 10.3390/hydrology3030029 Samanta S, Koloa C, Pal DK, Palsamanta B (2016a) Flood risk analysis in lower part of Markham River based on multi-criteria decision approach (MCDA). Hydrology 3(3):29. https://doi.org/10.3390/hydrology3030029 

    상세보기

41. J Model Earth Syst Environ S Samanta 2 3 1 2016 10.1007/s40808-016-0206-7 Samanta S, Koloa C, Pal DK, Palsamanta B (2016b) Estimation of potential soil erosion rate using RUSLE and E30 model. J Model Earth Syst Environ 2(3):1-11. https://doi.org/10.1007/s40808-016-0206-7 

    상세보기

42. SCS 1972 Soil Conservation Department, Handbook of Hydrology SCS (1972) Soil Conservation Department, Handbook of Hydrology. Ministry of Agriculture, New Delhi 

43. Expert Syst Appl EA Sezer 38 7 8208 2011 10.1016/j.eswa.2010.12.167 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 

    상세보기

44. Flood Risk Manag L Solin 5 303 2012 10.1111/j.1753-318X.2012.01153.x Solin L (2012) Spatial variability in the flood vulnerability of urban areas in the headwater basins of Slovakia. Flood Risk Manag 5:303-320 

    상세보기

45. Expert Syst Appl A Talei 37 12 7456 2010 10.1016/j.eswa.2010.04.015 Talei A, Chua LHC, Quek C (2010) A novel application of a neurofuzzy computational technique in event-based rainfall-runoff modeling. Expert Syst Appl 37(12):7456-7468 

    상세보기

46. J Hydrol MS Tehrany 512 332 2014 10.1016/j.jhydrol.2014.03.008 Tehrany MS, Pradhan B, Jebur MN (2014a) Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. J Hydrol 512:332-343 

    상세보기

47. Environ. Earth Sci MS Tehrany 72 4001 2014 10.1007/s12665-014-3289-3 Tehrany MS, Lee MJ, Pradhan B, Jebur MN, Lee S (2014b) Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environ. Earth Sci 72:4001-4015 

    상세보기

48. Stoch Environ Res Risk Assess MS Tehrany 29 1149 2015 10.1007/s00477-015-1021-9 Tehrany MS, Pradhan B, Jebur MN (2015) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess 29:1149-1165. https://doi.org/10.1007/s00477-015-1021-9 

    상세보기

49. Comput Geosci D Tien Bui 45 199 2012 10.1016/j.cageo.2011.10.031 Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB (2012) Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Comput Geosci 45:199-211 

    상세보기

50. Tilley JR, Kell RAM, Haro A (2006) Protecting the Markham Bridge, Morobe Province, PNG. In: Proceedings of the 9th International River Symposium, Brisbane, Australia, 4-7 September 

51. J Hydrol MK Tiwari 382 1 20 2010 10.1016/j.jhydrol.2009.12.013 Tiwari MK, Chatterjee C (2010) Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs). J Hydrol 382(1):20-33 

    상세보기

52. Hydrol Earth Syst Sci N Wanders 18 2343 2014 10.5194/hess-18-2343-2014 Wanders N, Karssenberg D, de Roo A, de Jong SM, Bierkens MFP (2014) The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrol Earth Syst Sci 18:2343-2357 

    상세보기

53. Nat Hazard HB Wang 69 3 1281 2013 10.1007/s11069-011-0008-1 Wang HB, Wu SR, Shi JS, Li B (2013) Qualitative hazard and risk assessment of landslides: a practical framework for a case study in China. Nat Hazard 69(3):1281-1294 

    상세보기

54. 4. WHO (2003) World Health Organization. Disaster Data-key Trends and Statistics in World Disasters Report 

55. 5. WHO: Geneva, Switzerland. http://www.ifrc.org/PageFiles/89755/2003/43800-WDR2003_En.pdf (Accessed 5 April 2017) 

56. CATENA A Yalcin 72 1 2008 10.1016/j.catena.2007.01.003 Yalcin A (2008) GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. CATENA 72:1-12 

    상세보기

57. Environ Earth Sci AM Youssef 62 611 2011 10.1007/s12665-010-0551-1 Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St.Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Sci 62:611-623 

    상세보기

58. Stoch Env Res Risk Assess Q Zou 27 2 525 2013 10.1007/s00477-012-0598-5 Zou Q, Zhou J, Zhou C, Song L, Guo J (2013) Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch Env Res Risk Assess 27(2):525-546 

    상세보기