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Remote Sensing and Geographic Information System for Fault Segments Mapping a Study from Taiz Area, Yemen

DOI: 10.1155/2013/201757

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Abstract:

GIS and remote sensing data for allowing detection of structural features, such as faults, offer opportunities for improving mapping and identifying the areas that are likely to be locations of faulting areas. Landsat ETM-7 satellite data images were used and band-5 was found as the most suitable band for lineament delineation, based on the ability to identify geological features. Four contributing factors, namely, drainage patterns, faults (previously mapped), lineaments, and lithological contacts layers, were parameters used in this study to produce a fault potential prediction map using the overlay model techniques. The potential map (fault susceptibility map) classifies the study area into five potential zones, namely, very low, low, moderate, high, and very high potential. The areas covered by moderate to the highest potential zones were considered as fault segments (fault lines) in the area. The comparison of the potential map and the published fault map by using GIS matching techniques shows that 75 fault segments (fault lines) in the potential map were not properly identified in the study area. The correlation between fault segments and faults data collected from field work stations shows that there were 39 fault segments which may represent new faults in the area being identified. The presence of these faults is not known from the literature; this leads to updating and revising of existing geological map of the study area. 1. Introduction Faults are weakness zones in the brittle part of the lithosphere, along which movement can take place in response to induced stresses. When faults undergo displacement, depending on geological and structural conditions, strain markers can be formed on the fault surface [1]. The presence of faults in any area is based on displacement of rock layers. But also, most of faults are represented by some geological features such as drainage patterns, lineaments (linear features), and lithological contacts between rock units within the rocks of the area. The presence of faults may be indicated by these geological features (factors). The term lineament was first introduced by [2, 3] who recognized the existence of linear geomorphic features and interpreted them as surface expressions of zones of weakness or structural displacement of the earth’s crust. Lineaments are linear features on the Earth’s surface, usually related to the subsurface phenomena. Generally, lineaments are related to large fractures and faults where their orientation and number give an idea of fracture pattern of rocks [4]. In the recent years, the

References

[1]  B. Dehandschutter, Study of the structural evolution of continental basins in Altai, central Asia [Ph.D. thesis], 2001.
[2]  W. H. Hobbs, “Lineaments of the Atlantic Border region,” Geological Society, vol. 15, pp. 483–506, 1904.
[3]  W. H. Hobbs, “Repeating patterns in the relief and in the structure of the land,” Geological Society, vol. 22, pp. 123–176, 1911.
[4]  L. E. Arlegui and M. A. Soriano, “Characterizing lineaments from satellite images and field studies in the central Ebro basin (NE Spain),” International Journal of Remote Sensing, vol. 19, no. 16, pp. 3169–3185, 1998.
[5]  R. T. Walker, “A remote sensing study of active folding and faulting in southern Kerman province, southeast Iran,” Journal of Structural Geology, vol. 28, no. 4, pp. 654–668, 2006.
[6]  C. Travaglia and N. Dainelli, Groundwater Search by Remote Sensing: A Methodological Approach, Environment and Natural Resources, FAO, Rome, Italy, 2003.
[7]  M. Morisawa, Rivers, Longman, New York, NY, USA, 1985.
[8]  C. E. Brockmann, A. Fernandez, R. Ballon, and I. I. Claure, “Analysis of geological structures based on landsat-1 images,” in Remote Sensing Applications for Mineral Exploration, W. L. Smith, Ed., pp. 292–317, Dowden, Hutchinson and Ross, Strondsberg, Pa, USA, 1977.
[9]  P. T. Nguyen and D. Ho, “Multiple source data processing in remote sensing,” in Digital Image Processing in Remote Sensing, J. P. Muller, Ed., pp. 153–176, Taylor and Francis, Philadelphia, Pa, USA, 1988.
[10]  X. Chen, Application of remote sensing and GIS techniques for environmental geologic investigation, northeast Iowa [Ph.D. thesis], University of Iowa, Iowa, Iowa, USA, 1992.
[11]  A. ü. Akman and K. Tüfek?i, “Determination and characterization of fault systems and geomorphological features by RS and GIS techniques in the WSW part of Turkey,” in Proceedings of the 20th ISPRS Congress, pp. 899–904, Istanbul, Turkey, 2004.
[12]  P. R. E. Guerra, Faulting evidence of isostatic uplift in the rincon mountains metamorphic core complex, an image processing analysis [Ph.D. thesis], 2000.
[13]  M. A. Juhari and A. Ibrahim, “Geological applications of Landsat TM imagery: mapping and analysis of lineaments in NW Peninsula Malaysia,” in Proceedings of the 18th Asian Conference on Remote Sensing, pp. J-1-1–J-1-8, Kuala Lumpur, Malaysia, 1997.
[14]  W. F. P. G. Micheal, “Lineaments analysis South Florida region, aquifer storage and recovery regional study,” Draft Technical Memorandum, Central and Southren Florida Project, Army Corps of Engineers, Jacksonville, Fla, USA, 2004.
[15]  I. D. Novak and N. Soulakellis, “Identifying geomorphic features using LANDSAT-5/TM data processing techniques on Lesvos, Greece,” Geomorphology, vol. 34, no. 1-2, pp. 101–109, 2000.
[16]  S. Solomon and W. Ghebreab, “Lineament characterization and their tectonic significance using Landsat TM data and field studies in the central highlands of Eritrea,” Journal of African Earth Sciences, vol. 46, no. 4, pp. 371–378, 2006.
[17]  K. S. Kavak and H. Cetin, “A detailed geologic lineament analysis using landsat TM data of G?lmarmara/Manisa region, Turkey,” Online Journal of Earth Sciences, vol. 1, no. 3, pp. 145–153, 2007.
[18]  L. A. Rutty, The basement fracture pattern of sothern Ontario: a tectonic interpretation based on landsat TM imagery, airphotos and field data [M.S. thesis], National Library of Canada, Ottawa, Canada, 1993.
[19]  K. M. M. Elias, “Multiple data set integration for structural and stratigraphic analysis of Oil and Gas bearing formation using GIS,” in Proceedings of the Map India Conference, Geology & Mineral Resource, 2003.
[20]  Geological Survey of Yemen (GSY), Geological Map of Taiz Area (1:250, 000), 1990.
[21]  S. Bai, J. Wang, G. N. Lu, P. G. Zhou, S. S. Hou, and S. N. Xu, “GIS-based logistic regression for landslide susceptibility mapping of the zhongxian segment in the three gorges area, China,” Geomorphology, vol. 115, pp. 23–31, 2010.
[22]  R. L. Bates and J. A. Jackson, Glossary of Geology, American Geological Institute, Alexandria, Va, USA, 1987.
[23]  M. L. Süzen and V. Doyuran, “Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey,” Engineering Geology, vol. 71, no. 3-4, pp. 303–321, 2004.
[24]  F. Guzzetti, A. Carrara, M. Cardinali, and P. Reichenbach, “Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy,” Geomorphology, vol. 31, no. 1–4, pp. 181–216, 1999.
[25]  C. F. Chung and A. G. Fabbri, “Probabilistic prediction models for landslide hazard mapping,” Photogrammetric Engineering and Remote Sensing, vol. 65, no. 12, pp. 1389–1399, 1999.
[26]  F. C. Dai and C. F. Lee, “Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong,” Geomorphology, vol. 42, no. 3-4, pp. 213–228, 2002.
[27]  L. Ayalew, H. Yamagishi, and N. Ugawa, “Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano river, Niigata prefecture, Japan,” Landslides, vol. 1, pp. 73–81, 2004.
[28]  T. B. Minor, J. A. Carter, M. M. Chesley, and R. B. Knowles, “An integrated approach to groundwater exploration in developing countries using GIS and remote sensing,” in Proceedings of the International American Congress on Surveying and Mapping/American Society for Photogrammetry and Remote Sensing (ACSM/ASPRS '94), pp. 418–428, 1994.
[29]  S. Lee and K. Min, “Statistical analysis of landslide susceptibility at Yongin, Korea,” Environmental Geology, vol. 40, no. 9, pp. 1095–1113, 2001.
[30]  L. Donati and M. C. Turrini, “An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina, Perugia, Italy),” Engineering Geology, vol. 63, no. 3-4, pp. 277–289, 2002.
[31]  A. Günther, “SLOPEMAP: programs for automated mapping of geometrical and kinematical properties of hard rock hill slopes,” Computers and Geosciences, vol. 29, no. 7, pp. 865–875, 2003.
[32]  S. A. Ali and S. Pirasteh, “Geological applications of Landsat Enhanced Thematic Mapper (ETM) data and Geographic Information System (GIS): mapping and structural interpretation in south-west Iran, Zagros Structural Belt,” International Journal of Remote Sensing, vol. 25, no. 21, pp. 4715–4727, 2004.
[33]  G. Jordan, B. M. L. Meijninger, D. J. J. V. Hinsbergen, J. E. Meulenkamp, and P. M. V. Dijk, “Extraction of morphotectonic features from DEMs: development and applications for study areas in Hungary and NW Greece,” International Journal of Applied Earth Observation and Geoinformation, vol. 7, no. 3, pp. 163–182, 2005.
[34]  A. Anwar, M. A. Juhari, and A. Ibrahim, “The extraction of lineaments using slope image derived from digital elevation model: case study of Sungai Lembing—Maran area, Malaysia,” Journal of Applied Sciences Research, vol. 6, no. 11, pp. 1745–1751, 2010.
[35]  K. Koike, S. Nagano, and M. Ohmi, “Lineament analysis of satellite images using a Segment Tracing Algorithm (STA),” Computers and Geosciences, vol. 21, no. 9, pp. 1091–1104, 1995.
[36]  A. Mah, G. R. Taylor, P. Lennox, and L. Balia, “Lineament analysis of Landsat Thematic Mapper images, Northern Territory, Australia,” Photogrammetric Engineering & Remote Sensing, vol. 61, no. 6, pp. 761–773, 1995.
[37]  A. Anwar, M. A. Juhari, and A. Ibrahim, “A comparison of landsat TM and SPOT data for lineament mapping in Hulu Lepar area, Pahang, Malaysia,” European Journal of Scientific Research, vol. 34, no. 3, pp. 406–415, 2009.
[38]  A. Masoud and K. Koike, “Tectonic architecture through Landsat-7 ETM+/SRTM DEM-derived lineaments and relationship to the hydrogeologic setting in Siwa region, NW Egypt,” Journal of African Earth Sciences, vol. 45, no. 4-5, pp. 467–477, 2006.
[39]  M. L. Süzen and V. Toprak, “Filtering of satellite images in geological lineament analyses: an application to a fault zone in Central Turkey,” International Journal of Remote Sensing, vol. 19, no. 6, pp. 1101–1114, 1998.
[40]  A. Ganas, S. Pavlides, and V. Karastathis, “DEM-based morphometry of range-front escarpments in Attica, central Greece, and its relation to fault slip rates,” Geomorphology, vol. 65, no. 3-4, pp. 301–319, 2005.
[41]  S. Sarapirome, A. Surinkum, and P. Saksutthipong, “Application of DEM data to geological interpretation: Thong Pha Phum area, Thailand,” in Proceedings of the 23rd Asian Conference on Remote Sensing (ACRS '02), Kathmandu, Nepal, 2002.
[42]  G. Sarp and V. Toprak, “An Integrated Lineament Analysis from Satellite Images,” in Proceedings of the 28th Asian Conference on Remote Sensing (ACRS '07), Kuala Lumpur, Malaysia, 2007.
[43]  A. Anwar, M. A. Juhari, and A. Ibrahim, “Automatic mapping of lineaments using shaded relief images derived from digital elevation model (DEMs) in the Maran—Sungi Lembing area, Malaysia,” Electronic Journal of Geotechnical Engineering, vol. 15, pp. 949–957, 2010.
[44]  P. C. I. Geomatica, PCI Geomatica User’s Guide Version 9. 1, Richmond Hill, Ontario, Canada, 2001.
[45]  A. Ibrahim and M. A. Juhari, Dictionary of Geological the Basic Terms, Malaysia, National University of Malaysia, Selangor, Malaysia, 1990.
[46]  National Water Resources Authority, Hydrogeologic Map of Taiz Area (1: 50, 000), Dar El-Yemen Hydro Consultant, 1997.
[47]  L. Aller, T. Bennett, J. H. Lehr, and R. J. Petty, “DRASTIC: a standard system for evaluating groundwater pollution potential using hydrogeologic settings,” Tech. Rep. EPA/600/2 85/018 R.S., Kerr Enviromental Research Laboratory, Enviromental Protection Agency, Ada, Okla, USA, 1995.
[48]  M. J. Crozier, “Field Assessment of Slope Instability,” in Slope Instability, D. Brunsden and D. Prior, Eds., pp. 103–142, John Wiley and Sons, New York, NY, USA, 1984.
[49]  Q. Zaruba and V. Mencl, Landslides and Their Control, Elsevier, Amsterdam, The Netherlands, 1982.
[50]  I. Das, S. Sahoo, C. van Westen, A. Stein, and R. Hack, “Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India),” Geomorphology, vol. 114, no. 4, pp. 627–637, 2010.

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