Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

Earth Science Informatics

Volumn 8, Issue 4, 2015, Pages 867-883

  Razandi, Yousef ^a   Pourghasemi, Hamid Reza ^b   Neisani, Najmeh Samani ^a   Rahmati, Omid ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c LORESTAN UNIVERSITY   (Iran)

Author keywords

Analytic hierarchy process; Certainty factor; Frequency ratio; Groundwater potential mapping; Iran

Indexed keywords

ANALYTICAL HIERARCHY PROCESS; COMPARATIVE STUDY; DATA INTERPRETATION; FREQUENCY ANALYSIS; GIS; GROUND CONDITIONS; GROUNDWATER RESOURCE; MODEL VALIDATION; PERFORMANCE ASSESSMENT; TOPOGRAPHIC MAPPING; WATER YIELD;

IRAN; TEHRAN [IRAN]; VARAMIN;

EID: 84947486566     PISSN: 18650473     EISSN: 18650481     Source Type: Journal    
DOI: 10.1007/s12145-015-0220-8     Document Type: Article

References (103)

1. Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res. doi:10.1029/2008WR007615
2. 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 440:75–89
3. Adiat KAN, Nawawi MNN, Abdullah K (2013) Application of multi-criteria decision analysis to geoelectric and geologic parameters for spatial prediction of groundwater resources potential and aquifer evaluation. Pure Appl Geophys 170:453–471
4. Al Saud M (2010) Mapping potential areas for groundwater storage in wadi aurnah basin, western Arabian peninsula, using remote sensing and geographic information system techniques. Hydrogeol J 18:1481–1495
5. Alavi M (1994) Tectonics of the Zagros orogenic belt of Iran; new data and interpretations. Tectonophysics 229:211–238
6. Aniya M (1985) Landslide-susceptibility mapping in the amahata river basin, Japan. Ann Assoc Am Geogr 75(1):102–114
7. Arkoprovo B, Adarsa J, Shashi Prakash S (2012) Delineation of groundwater potential zones using satellite remote sensing and geographic information techniques: a case study from Ganjam district, Orissa, India. Res J Recent Sci 9:59–66
8. Ayazi MH, Pirasteh S, Arvin AKP, Pradhan B, Nikouravan B, Mansor S (2010) Disasters and risk reduction in groundwater: Zagros mountain southwest Iran using geo-informatics techniques. Dis Adv 3(1):51–57
9. Baghvand A, Nasrabadi T, Bidhendi GN, Vosoogh A, Karbassi A, Mehrdadi N (2010) Groundwater quality degradation of an aquifer in Iran central desert. Desalination 260:264–275
10. Bandyopadhyay S, Srivastava SK, Jha MK, Hegde VS, Jayaraman V (2007) Harnessing earth observation (EO) capabilities in hydrogeology: an Indian perspective. Hydrogeol J 15(1):155–158
11. Banks D, Robins N (2002) An introduction to groundwater in crystalline bedrock. Norges geologiske undersøkelse, Trondheim, p 64
12. Bastani M, Kholghi M, Rakhshandehroo GR (2010) Inverse modeling of variable-density groundwater flow in a semi-arid area in Iran using a genetic algorithm. Hydrogeol J 18:1191–1203
13. Bevan MJ, Endres AL, Rudolph DL, Parkin G (2005) A field scale study of pumping-induced drainage and recovery in an unconfined aquifer. J Hydrol 315:52–70
14. Brunner P, Bauer P, Eugster M, Kinzelbach W (2004) Using remote sensing to regionalize local rainfall recharge rates obtained from the chloride method. J Hydrol 294(4):241–250
15. Bui DT, 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
16. Chenini I, Mammou AB, May MY (2010) Groundwater recharge zone mapping using GIS-based multi-criteria analysis: a case study in central Tunisia (maknassy basin). Water Resour Manag 24:921–939
17. Chowdhury A, Jha MK, Chowdary VM, Mal BC (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in west medinipur district, west Bengal, India. Int J Remote Sens 30(1):231–250
18. Chowdhury A, Jha MK, Chowdary VM (2010) Delineation of groundwater recharge zones and identification of artificial recharge sites in west medinipur district, west Bengal using RS, GIS and MCDM techniques. Environ Earth Sci 59(6):1209–1222
19. Chung CJF, Fabbri AG (1998) Three Bayesian prediction models for landslide hazard. In: Buccianti A, Nardi G, Potenza R (eds) Proceedings of international association for mathematical geology 1998 annual meeting (IAMG’98). Ischia, Italy, pp 204–211
20. Chung JF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30(3):451–472
21. Co RM (1990) Handbook of groundwater development. Wiley, New York, pp 34–51
22. Corsini A, Cervi F, Ronchetti F (2009) Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy). Geomorphology 111:79–87
23. Dar IA, Sankar K, Dar MA (2010) Remote sensing technology and geographic information system modeling: an integrated approach towards the mapping of groundwater potential zones in Hardrock terrain, Mamundiyar basin. J Hydrol 394:285–295
24. Davoodi Moghaddam D, Rezaei M, Pourghasemi HR, Pourtaghie ZS, Pradhan B (2013) Groundwater spring potential mapping using bivariate statistical model and GIS in the taleghan watershed Iran. Arab J Geosci. doi:10.1007/s12517-013-1161-5
25. 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
26. Dinesh Kumar PK, Gopinath G, Seralathan P (2007) Application of remote sensing and GIS for the demarcation of groundwater potential zones of a river basin in Kerala, southwest cost of India. Int J Remote Sens 28(24):5583–5601
27. E.C. Inc. (Expert Choice Inc.) (1995) Decision support software: tutorial, expert choice, Student Version 9. Expert Choice Inc., Pittsburgh
28. Edet AE, Okereke CS (1996) Assessment of hydrogeological conditions in basement aquifers of the Precambrian Oban massif, southwestern Nigeria. J Appl Geophys 36:195–204
29. Elewa HH, Qaddah AA (2011) Groundwater potentiality mapping in the Sinai peninsula, Egypt, using remote sensing and GIS-watershed-based modeling. Hydrogeol J 19:613–628
30. Ercanoglu M, Gokceoglu C (2002) Assessment of landslide susceptibility for a landslide prone area (north of Yenice, NW Turkey) by fuzzy approach. Environ Geol 41:720–730
31. Ettazarini S (2007) Groundwater potential index: a strategically conceived tool for water research in fractured aquifers. Environ Geol 52:477–487
32. Ettazarizini S, El Mahmouhi N (2004) Vulnerability mapping of the turonian limestone aquifer in the phosphate plateau (Morocco). Environ Geol 46:113–117
33. Fitts CR (2002) Groundwater Science. Academic Press
34. Gaur S, Chahar BR, Graillot D (2011) Combined use of groundwater modeling and potential zone analysis for management of groundwater. Int J Appl Earth Obs 13:127–139
35. Ghayoumian J, Mohseni Saravi M, Feiznia S, Nouri B, Malekian A (2007) Application of GIS techniques to determine areas most suitable for artificial groundwater recharge in a coastal aquifer in southern Iran. J Asian Earth Sci 30(2):364–374
36. Godebo TR (2005) Application of remote sensing and GIS for geological investigation and groundwater potential zone identification, Southeastern Ethiopian Plateau, Bale Mountains and the surrounding areas. ADDIS ABABA UNIVERSITY, Dissertation
37. Gogu RC, Carabin G, Hallet V, Peters V, Dassargues A (2001) GIS based hydrogeological databases and groundwater modeling. J Hydrology 9:555–569
38. Greenbaum D (1989) Hydrogeological applications of remote sensing in areas of crystalline basement. Paper presented at the In: Proc Groundwater Exploration and Development in Crystalline Basement Aquifers, Zimbabwe
39. Hosseinali F, Alesheikh AA (2008) Weighting spatial information in GIS for copper mining exploration. Am J App Sci 5:1187–1198
40. Hosseini M, Ghafouri AM, Amin MSM, Tabatabaei MR, Goodarzi M, Abde Kolahchi A (2012) Effects of land use changes on water balance in Taleghan Catchment, Iran. J Agric Sci Technol 14:1159–1172
41. IDWRM (2010) weather and climate report, Tehran province. Iranian Department of Water Resources Management. http://www.thrw.ir/
42. Israil M, Al-hadithi M, Singhal DC (2006) Application of a resistivity survey and geographical information system (GIS) analysis for hydrogeological zoning of a piedmont area, Himalayan foothill region, India. Hydrogeol J 14:753–759
43. Jaafari A, Najafi A, Pourghasemi HR, Rezaeian J, Sattarian A (2014) GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. Int J Environ Sci Te. doi:10.1007/s13762-013-0464-0
44. Jha MK, Chowdary VM (2007) Challenges of using remote sensing and GIS in developing nations. Hydrogeol J 15(1):197–200
45. Jha MK, Peiffer S (2006) Applications of remote sensing and GIS technologies in groundwater hydrology: past present and future. Bayreuth University Press, Bayreuth
46. Jha MK, Chowdhury A, Chowdary VM, Peiffer S (2007) Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints. Water Resour Manag 21(2):427–467
47. Jha MK, Chowdary VM, Chowdhury A (2010) Groundwater assessment in salboni block, west Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18:1713–1728
48. Kaliraj S, Chandrasekar N, Magesh NS (2014) Identification of potential groundwater recharge zones in vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arab J Geosci 7:1385–1401
49. Kanungo DP, Sarkar S, Sharma S (2011) Combining neural network with fuzzy, certainty factor and likelihood ratio concepts for spatial prediction of landslides. Nat Hazards 59:1491–1512
50. Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. Earth Sys Sci 115(6):661–667
51. Lee S, Kim YS, Oh HJ (2012a) Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping. Environ Manag 96(1):91–105
52. Lee S, Song KY, Kim Y, Park I (2012b) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model. Hydrogeol J 20(8):1511–1527
53. Li L, Shi ZH, Yin W, Zhu D, Leung NGS, Cai CF, Lei AL (2009) A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou reservoir area, China. Ecol Model 220:3439–3447
54. Machiwal D, Jha MK, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manag 25:1359–1386
55. Madan KJ, Chowdary VM, Chowdhury A (2010) Groundwater assessment in salboni block, west Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeol J 18:1713–1728
56. Madrucci V, Taioli F, Cesar de Araujo C (2008) Groundwater favorability map using GIS multi criteria data analysis on crystalline terrain, Sao Paulo State, Brazil. J Hydrol 357:153–173
57. Magesh NS, Chandrasekar N, Soundranayagam JP (2012) Delineation of groundwater potential zones in theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci Front 3(2):189–196
58. Malczewski J (1999) GIS and Multicriteria decision analysis. John Wiley and Sons, Inc. United States of America, pp 177–192
59. Manap MA, Sulaiman WNA, Ramli MF, Pradhan B, Surip N (2013) A knowledge-driven GIS modeling technique for groundwater potential mapping at the Upper Langat Basin, Malaysia. Arab J Geosci 6:1621–1637
60. Manap MA, Nampak H, Pradhan B, Lee S, Sulaiman WNA, Ramli MF (2014) Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS. Arab J Geosci 7:711–724
61. Mogaji KA, Lim HS, Abdullah K (2014) Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model. Arab J Geosci. doi:10.1007/s12517-014-1391-1
62. Mohammady M, Pourghasemi HR, Pradhan B (2012) Landslide susceptibility mapping at golestan province, Iran: a comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models. J Asian Earth Sci 61:221–236
63. Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modeling: a review of hydrological, geomorphological and biological applications. Hydrol Process 5:3–30.
64. Mukherjee P, Singh CK, Mukherjee S (2012) Delineation of groundwater potential zones in arid region of India—a remote sensing and GIS approach. Water Resour Manag 26:2643–2672
65. Musa KA, Akhir JM, Abdullah I (2000) Groundwater prediction potential zone in Langat Basin using the integration of remote sensing and GIS. http://www.gisdevelopment.net (accessed on July 24, 2008)
66. Naghibi SA, Pourghasemi HR, Pourtaghie ZS, Rezaei A (2014) Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the moghan watershed. Iran Earth Sci Inform. doi:10.1007/s12145-014-0145-7
67. Nampak H, Pradhan B, Manap MA (2014) Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol 513:283–300
68. Nazari A, Salarirad MM, Aghajani Bazzazi A (2012) Landfill site selection by decision-making tools based on fuzzy multi attribute decision-making method. Environ Earth Sci 65:1631–1642
69. Negnevitsky M (2002) Artificial intelligence: a guide to intelligent systems. Addison–Wesley/Pearson, Harlow, p 394
70. Neshat A, Pradhan B, Pirasteh S, Shafri HZM (2013) Estimating groundwater vulnerability to pollution using modified DRASTIC model in the Kerman agricultural area Iran. Environ Earth Sci. doi:10.1007/s12665-013-2690-7
71. Nosrati K, Eeckhaut MVD (2012) Assessment of groundwater quality using multivariate statistical techniques in hashtgerd plain, Iran. Environ Earth Sci 65:331–344
72. Oh HJ, Kim YS, Choi JK, Park E, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J Hydrol 399:158–172
73. Ozdemir A (2011a) GIS-based groundwater spring potential mapping in the sultan mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison. J Hydrol 411(3–4):290–308
74. Ozdemir A (2011b) Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the sultan mountains (Aksehir, Turkey). J Hydrol 405(1):123–136
75. Page ML, Berjamy B, Fakir Y, Bourgin F, Jarlan J, Abourida A, Benrhanem M, Jacob G, Huber M, Sghrer F, Simonneaux V, Chehbouni G (2012) An integrated DSS for groundwater management based on remote sensing. the case of a semi-arid aquifer in Morocco. Water Resour Manag 26:3209–3230
76. Pourghasemi HR, Beheshtirad M (2014) Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran. Geocarto Int. 10.1080/10106049.2014.966161
77. Pourghasemi HR, Mohammady M, Pradhan B (2012a) Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran. Catena 97:71–84
78. Pourghasemi HR, Moradi HR, Fatemi Aghda SM, Gokceoglu C, Pradhan B (2012b) 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
79. Pourghasemi HR, Pradhan B, Gokceoglu C (2012c) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63:965–996
80. Pourghasemi HR, Pradhan B, Gokceoglu C (2012d) Remote sensing data derived parameters and its use in landslide susceptibility assessment using Shannon’s Entropy and GIS. Appl Mech Mater 225:486–491
81. Pourghasemi HR, Moradi HR, Fatemi Aghda SM (2013a) Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Nat Hazards 69:749–779
82. Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR (2013b) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci 6:2351–2365
83. Pourtaghi ZS, Pourghasemi HR (2014) GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province Iran. Hydrogeol J. doi:10.1007/s10040-013-1089-6
84. Pradhan B (2009) Groundwater potential zonation for basaltic watersheds using satellite remote sensing data and GIS techniques. Cent Eur J Geosci 1(1):120–129
85. 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 51:350–365
86. Pradhan B, Lee S (2010) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7(1):13–30
87. Prasad RK, Mondal NC, Banerjee P, Nandakumar MV, Singh VS (2008) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55(3):467–475
88. Rahmati O, Nazari Samani A, Mahdavi M, Pourghasemi HR, Zeinivand H (2014a) Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS. Arab J Geosci. doi:10.1007/s12517-014-1668-4
89. Rahmati O, Nazari Samani A, Mahmoodi N, Mahdavi M (2014b) Assessment of the contribution of N-fertilizers to nitrate pollution of groundwater in western Iran (Case Study: Ghorveh–Dehgelan Aquifer). Water Qual, Expo Health. doi:10.1007/s12403-014-0135-5
90. Rao BV, Briz-Kishore BH (1991) A methodology for locating potential aquifers in a typical semi-arid region in India using resistivity and hydrogeologic parameters. Geoexploration 27:55–64
91. Regmi AD, Devkota KC, Yoshida K, Pradhan B, Pourghasemi HR, Kumamoto T, Akgun A (2013) 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. doi:10.1007/s12517-012-0807-z
92. Saaty TL (1980) The analytic hierarchy process: planning, priority setting. Resource Allocation, McGraw-Hill
93. Sander P, Chesley MM, Minor TB (1996) Groundwater assessment using remote sensing and GIS in a rural groundwater project in Ghana: lessons learned. Hydrogeol J 4(3):40–49
94. Shahid S, Nath SK, Kamal ASMM (2002) GIS integration of remote sensing and topographic data using fuzzy logic for ground water assessment in Midnapur District, India. Geocarto Int 17(3):69–74
95. Shekhar S, Pandey AC (2014) Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques. Geocarto Int. doi:10.1080/10106049.2014.894584
96. Singh AK, Prakash SR (2003) An integrated approach of remote sensing, geophysics and GIS to evaluation of groundwater potentiality of Ojhala sub-watershed, Mirjapur District, U.P., India. http://www.gisdevelopment.net. Accessed on 25 Aug 2007
97. Solomon S, Quiel F (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. Hydrogeol J 14:1029–1041
98. Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–79
99. Tehrany MS, Pradhan B, Jebur MN (2014) Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. J Hydrol 512:332–343
100. Todd DK, Mays LW (1980) Groundwater hydrology, 2nd edn. Wiley, New York
101. Todd DK, Mays LW (2005) Groundwater hydrology, 3rd edn.Wiley, NJ, p636
102. Vaux H (2011) Groundwater under stress: the importance of management. Environ Earth Sci 62:19–23
103. Yesilnacar EK (2005) The application of computational intelligence to landslide susceptibility mapping in Turkey. Ph.D Thesis Department of Geomatics the University of Melbourne, p 423