GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran;Evaluation de la potentialité des sources d'eau souterraine à partir d'un SIG et cartographie dans le district de Birjand, Sud de la province de Khorasan, Iran

Hydrogeology Journal

Volumn 22, Issue 3, 2014, Pages 643-662

  Pourtaghi, Zohre Sadat ^a   Pourghasemi, Hamid Reza ^b  

^a YAZD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Geographic information systems; Groundwater spring potential; Iran; Logistic regression; Weights of evidence

Indexed keywords

ASSESSMENT METHOD; FACTOR ANALYSIS; GIS; GROUNDWATER; MAPPING METHOD; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SPRING WATER;

BIRJAND; IRAN; SOUTH KHORASAN;

EID: 84899440240     PISSN: 14312174     EISSN: 14350157     Source Type: Journal    
DOI: 10.1007/s10040-013-1089-6     Document Type: Article

References (83)

1. Akgün 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. doi: 10. 1007/s10346-011-0283-7.
2. Akgün A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ Geol 54: 1127-1143.
3. Arthur JD, Wood HAR, Baker AE, Cichon JR, Raines GL (2007) Development and implementation of a Bayesian-based aquifer vulnerability assessment in Florida. Nat Resour Res 16(2): 93-107.
4. Atkinson PM, Massari R (1998) Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy. Comput Geosci 24: 373-385.
5. Barbieri G, Cambuli P (2009) The weight of evidence statistical method in landslide susceptibility mapping of the Rio Pardu Valley (Sardinia, Italy). 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009.
6. Bellman R (1961) Adaptive control processes: a guided tour. Princeton University Press, Princeton, NJ, 255 pp.
7. Beven K (1997) TOPMODEL: a critique. Hydrol Process 11: 1069-1085.
8. Beven K, Freer J (2001) A dynamic TOPMODEL. Hydrol Process 15(10): 1993-2011.
9. Bing Y, Zhengxi Y, Xiaochun W (2005) Applying weight of evidence to predict Pb-Zn potentiality in Ningnan region, Sichuan. World Geol 24(3): 253-259.
10. Bonham-Carter GF (1994) Geographic information systems for geoscientists: modeling with GIS. Pergamon, Ottawa.
11. Carranza EJM (2004) Weights of evidence modeling of mineral potential: a case study using small numbers of prospects, Abra, Philippines. Nat Resour Res 13(3): 173-187.
12. Cervi F, Berti M, Borgatti L, Ronchetti F, Manenti F, Corsini A (2010) Comparing predictive capability of statistical and deterministic methods for landslide susceptibility mapping: a case study in the northern Apennines (Reggio Emilia Province, Italy). Landslide 7(4): 433-444.
13. Chang Y, Leng W, He H (2010) Using weights of evidence to estimate the probability of forest fire occurrence: a case study in Huzhong area of the Daxingan Mountains. Sci Silvae Sinicae 46(2): 103-109.
14. Chenini I, Ben Mammou A (2010) Ground water recharge study in arid region: an approach using GIS techniques and numerical modeling. Comput Geosci 36(6): 801-817.
15. Chenini I, Ben Mammou A, May ME (2010) Ground water recharge zone mapping using GIS-based multi-criteria analysis: a case study in central Tunisia (Maknassy Basin). Water Resour Manage 24(5): 921-939.
16. 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: 231-250.
17. 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.
18. Cuo L, Giambelluca TW, Ziegler AD, Nullet MA (2006) Use of the distributed hydrology soil vegetation model to study road effects on hydrological processes in Pang Khum Experimental Watershed, northern Thailand. Forest Ecol Manage 224: 81-94.
19. 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.
20. 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(1): 135-165.
21. Egan JP (1975) Signal detection theory and ROC analysis. Academic, New York, pp 266-268.
22. Erner A, Sebnem H, Duzgun B (2010) Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway). Landslides 7: 55-68.
23. Fan D, Cui X, Yuan D, Wang J, Yang J, Wang S (2011) Weight of evidence method and its applications and development. Procedia Environ Sci 11: 1412-1418.
24. Forman RTT, Alexander LE (1998) Rods and their major ecological effects. Annu Rev Ecol Syst 29: 207-31.
25. Fotheringham AS, Charlton ME, Brunsdon C (2001) Spatial variations in school performance: a local analysis using geographically weighted regression. Geogr Environ Model 5: 43-66.
26. Ganapuram S, Vijaya Kumar GT, Murali Krishna IV, Kahya E, Demirel MC (2009) Mapping of groundwater potential zones in the Musi basin using remote sensing data and GIS. Adv Eng Softw 40: 506-518.
27. Geology Survey of Iran (GSI) (1997) Geology map of the Birjand Township. http://www. gsi. ir/Main/Lang_en/index. html. Accessed September 2000.
28. Ghayoumian J, MohseniSaravi M, Feiznia S, Nourib 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: 364-374.
29. Gupta M, Srivastava PK (2010) Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India. Water Int 35: 233-245.
30. Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York, 392 pp.
31. Huang X, Zhang Z, Chen J (2010) Application of hybrid fuzzy weights of evidence model in mineral resource assessment for coal in Chengde area, Hebei, China. J Geol Bull China 29(7): 1075-1081.
32. IR of Iran Meteorological Org (IRIMO) (2012) The meteorology of the Birjand Township. http://www. irimo. ir/english/. Accessed April 2012.
33. Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development: an approach. Inter J Remote Sens 24: 993-1008.
34. 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 Manage 21: 427-467.
35. Kaliraj S, Chandrasekar N, Magesh NS (2013) Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arab J Geosci. doi: 10. 1007/s12517-013-0849-x.
36. Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26(7): 1477-1491.
37. Lee S, Choi J (2004) Landslide susceptibility mapping using GIS and the weight-of evidence model. Int J Geograph Inform Sci 18(8): 789-814.
38. Lee S, Sambath T (2006) Landslide susceptibility mapping in the DamreiRomel area, Cambodia using frequency ratio and logistic regression models. Environ Geol 50: 847-855.
39. Lee S, Talib JA (2005) Probabilistic landslide susceptibility and factor effect analysis. Environ Geol 47: 982-990.
40. Lee S, Song KY, Kim Y, Park I (2012) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model. Hydrogeol J 20: 1511-1527. doi: 10. 1007/s10040-012-0894-7.
41. Luping P, Pengda Z, Guangdao H (2008) The extended weights of evidence model using both continuous and ciscrete cata in assessment of mineral resources GIS-based. Geol Sci Technol Inform 27(6): 102-106.
42. Mathew J, Jha VK, Rawat GS (2007) Weights of evidence modeling for landslide hazard zonation mapping in part of Bhagirathi valley, Uttarakhand. Curr Sci 92(5): 628-638.
43. Mathew J, Jha VK, Rawat GS (2009) Landslide susceptibility zonation mapping and its validation in part of Garhwal Lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method. Landslides 6: 17-26.
44. Mioduszewski W (2008) Impact of a road crossing on groundwater level in a river valley. J Water Land Dev 12: 49-58.
45. 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.
46. Murthy KSR, Mamo AG (2009) Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele sub basin, South Ethiopia. Int J Remote Sens 30: 2729-2740.
47. Moore ID, Burch GJ (1986) Sediment transport capacity of sheet and rill flow: application of unit stream power theory. Water Res 22: 1350-1360.
48. Moore ID, Grayson RB, Ladson A (1991) Digital terrain modeling: a review of hydrological, geomorphological, and biological applications. Hydrol Process 5: 3-30.
49. Negnevitsky M (2002) Artificial intelligence: a guide to intelligent systems. Pearson, Harlow, UK, 394 pp.
50. O'Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41(5): 673-690.
51. Oh HJ, Lee S (2011) Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea. Environ Earth Sci 64(2): 395-409.
52. Oh HJ, Kim YS, Choi JK, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J Hydrol 399: 158-172.
53. Ozdemir A (2011a) Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey). J Hydrol. doi: 10. 1016/j. jhydrol. 2011. 05. 015.
54. Ozdemir (2011b) 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: 290-308.
55. Ozdemir A, Altural T (2013) A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey. J Asian Earth Sci 64: 180-197.
56. Porwal A, González-Álvarez I, Markwitz V, McCuaig TC, Mamuse A (2010) Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectively in the YilgarnCraton, Western Australia. Ore Geol Rev 38: 184-196.
57. Pourghasemi HR, Pradhan B, Gokceoglu C, Mohammadi M, Moradi HR (2012a) Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. Arab J Geosci. doi: 10. 1007/s12517-012-0532-7.
58. Pourghasemi HR, Mohammady M, Pradhan B (2012b) Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran. Catena 97: 71-84.
59. Pourghasemi HR, Gokceoglu C, Pradhan B, Deylami Moezzi K (2012c) Landslide susceptibility mapping using a spatial multi criteria evaluation model at Haraz Watershed, Iran. In: Pradhan B, Buchroithner M (eds) Terrigenous mass movements. Springer, Heidelberg, Germany, pp 23-49. doi: 10. 1007/978-3-642-25495-6-2.
60. Pourghasemi HR, Pradhan B, Gokceoglu C (2012d) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards 63(2): 965-996.
61. Pourghasemi HR, Moradi HR, Mohammadi M, Pradhan B, Mostafazadeh R, Goli Jirandeh A (2012e) Landslide hazard assessment using remote sensing data, GIS and weights-of-evidence model (South of Golestan Province, Iran), Asia Pacific Conference on Environmental Science and Technology (APEST 2012), Advances in Biomedical Engineering, Volume 6, Environmental Science and Technology, 30-36.
62. Pourghasemi HR, Moradi HR, Fatemi Aghda SM, Gokceoglu C, Pradhan B (2013a) GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi criteria evaluation models (North of Tehran, Iran). Arab J Geosci. doi: 10. 1007/s12517-012-0825-x.
63. Pourghasemi HR, Goli Jirandeh A, Pradhan B, Xu C, Gokceoglu C (2013b) Landslide susceptibility mapping using support vector machine and GIS. J Earth Syst Sci 122(2): 349-369.
64. Pourghasemi HR, Moradi HR, Fatemi Aghda SM (2013c) Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Nat Hazards. doi: 10. 1007/s11069-013-0728-5.
65. Pourghasemi HR, Pradhan B, Gokceoglu C, Deylami Moezzi K (2013d) A comparative assessment of prediction capabilities of Dempster-Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS. Geom, Nat Hazards and Risk, 4(2): 93-118.
66. Pengda Z (2007) Quantitative mineral prediction and deep mineral exploration. Earth Sci Front 14(5): 1-10.
67. Regmi AD, Yoshida K, Pradhan B, Pourghasemi HR, Khumamoto 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.
68. Ruan S, Huang R (2001) Application of GIS-based information model on assessment of geological hazards risk. J Chengdu Univ Technol 28(1): 89-92.
69. Saha D, Dhar YR, Vittala SS (2010) Delineation of groundwater development potential zones in parts of marginal Ganga Alluvial Plain in South Bihar, Eastern India. Environ Monit Assess 165: 179-191.
70. Shahid S, Nath SK, Roy J (2000) Groundwater potential modeling in a soft rock area using a GIS. Int J Remote Sens 21(9): 1919-1924.
71. Singh AK, Prakash SR (2003) An integrated approach of remote sensing, geophysics and GIS to evaluation of groundwater potentiality of Ojhala sub-watershed, Mirzapur District UP India. Remote Sensing Applications Centre, Lucknow, India.
72. Srivastava PK, Bhattacharya AK (2006) Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain. Int J Remote Sens 27: 4599-4620.
73. Solomon S, Quiel F (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. Hydrol J 14: 729-741.
74. Su H, Ge Y, Liu D (1999) A GIS-based mineral deposits prediction system by using evidence weight modeling. Geol Prospect 35(1): 44-46.
75. van Westen CJ, Rengers N, Soeters R (2003) Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards 30: 399-419.
76. Wright DF, Bonham-Carter GF (1996) VHMS favourability mapping with GIS-based integration models, Chisel Lake-Anderson Lake area. In: Bonham-Carter GF, Galley AG, Hall GEM (eds) EXTECH I: a multidisciplinary approach to massive sulphide research in the Rusty Lake-Snow Lake Greenstone Belts, Manitoba. Geol Surv Can Bull 426: 339--401.
77. Yesilnacar EK (2005) The application of computational intelligence to landslide susceptibility mapping in Turkey, PhD Thesis, University of Melbourne, Australia, 423 pp.
78. Yilmaz I (2009) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Katland slides (Tokat-Turkey). Comput Geosci 35: 125-1138.
79. Yilmaz I (2010) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci 61(4): 821-836.
80. Yongqing C, Jianguo C, Xinqing W (2007) GIS-based integrated quantitative assessments of mineral resources. Geol Bull China 26(2): 141-149.
81. Zare M, Pourghasemi HR, Vafakhah M, Pradhan B (2013) Landslide susceptibility mapping at Vaz watershed (Iran) using an artificial neural network model: a comparison between multi-layer perceptron (MLP) and radial basic function (RBF) algorithms. Arab J Geosci 6(8): 2873-2888. doi: 10. 1007/s12517-012-0610-x.
82. Zhu L, Huang J (2006) GIS-based logistic regression method for landslide susceptibility mapping in regional scale. J Zhejiang Univ Sci A 7: 2007-2017.
83. Zia H (2004) Hydrogeology and effect artificial recharge of ground water Birjand Plain. MSc Thesis, Tabriz University, Iran.