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Information Journal Paper

Title

The statistical models and fractal array fractures in the Eastern Bajestan granite mass based on remote sensing techniques

Pages

  1-15

Abstract

 Analysis of intensity (I), density (ρ ), mean lineament trace length (μ ) and intersection (n), are the parameters used in the statistical calculations faults and fractures that are expressed per unit area. In this study, enhancement of lineaments has been done with the use of Spot 5 image. Fractures were classified in two systematic trend northwest-southeast that are the dominant trend in the area and northeast – southwest. According to the area extention and the distribution of fractures, area is divided into 42 square network with a side length of 1. 7 kilometers. Then the Fractal model of structural fractures area was calculated, the highest disribution rate in southeast and west region was obtained. The above parameters for each network was calculated separately and manual and their contour maps were drawn. The highest I and ρ in southeast, west and the highest μ and n in the northeast and southeast region were obtained respectively.

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    APA: Copy

    afshar najafi, s., RAHIMI, B., GHAEMI, F., & Ahmadi ruhani, r.. (2016). The statistical models and fractal array fractures in the Eastern Bajestan granite mass based on remote sensing techniques. RESEARCHES IN EARTH SCIENCES, 6(24 ), 1-15. SID. https://sid.ir/paper/207359/en

    Vancouver: Copy

    afshar najafi s., RAHIMI B., GHAEMI F., Ahmadi ruhani r.. The statistical models and fractal array fractures in the Eastern Bajestan granite mass based on remote sensing techniques. RESEARCHES IN EARTH SCIENCES[Internet]. 2016;6(24 ):1-15. Available from: https://sid.ir/paper/207359/en

    IEEE: Copy

    s. afshar najafi, B. RAHIMI, F. GHAEMI, and r. Ahmadi ruhani, “The statistical models and fractal array fractures in the Eastern Bajestan granite mass based on remote sensing techniques,” RESEARCHES IN EARTH SCIENCES, vol. 6, no. 24 , pp. 1–15, 2016, [Online]. Available: https://sid.ir/paper/207359/en

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