Generation of Geology, Geomorphology and Geological Threats for the Updating of the Development and Land Management Plan of Quilanga Canton of Loja Province, scale 1: 25 000.
Torres Ramirez Raisa Ivanova1, Tambo Encalada Walter Simón2, Valarezo Riofrio Jorge Michael3, Gonzalez Sisalima Fermín Alexander4, Jose Leonardo Benavides Maldonado.5
1Jorge Michael Valarezo, Geology and mines, University National of Loja, Loja, Ecuador.
2Walter Simón Tambo Encalada, Department of environmental geology and land use, University National of Loja, Loja, Ecuador.
3Fermin Alexander González Sisalima, Department of environmental geology and land use, University National of Loja, Loja, Ecuador.
4Raisa Ivanova Torres Ramirez, Department of environmental geology and land use, University National of Loja, Loja, Ecuador.
5José L. Benavides M, Electromechanical, University National of Loja, Loja, Ecuador.
Manuscript received on 15 April 2016 | Revised Manuscript received on 25 April 2016 | Manuscript Published on 30 April 2016 | PP: 38-42 | Volume-5 Issue-4, April 2016 | Retrieval Number: D4474045416/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This project refers to the generation of geology, geomorphology and geological hazards for the updating of the Development and Land Management Plan of Quilanga canton. For which 76 aerial photographs and Digital Terrain Model (DTM) at 1:25 000 scales of SIGTIERRAS of 2012 were used, in addition to the official geological maps of Gonzanamá and the plowed scale 1: 100 000 and topographic maps of Gonzanamá and the plowed at 1:50 000 scale The generated base cartography allowed obtaining the water supply, road network, and settlements through 3D vision allowed by the Arc Scene extension; The analysis of geology, geomorphology, and geological hazards was characterized based on the genesis, morphology, morphometry and identification of landslides; additionally, it should empathize that these digital tools allowed the obtaining the result. For each terrain feature, was obtained through the field validation photo interpreted data, which affect was georeferenced performed the respective corrections, there obtained to qualitative and quantitative end map for each one. Finally, with the assistance of information generated, the landslide susceptibility map was obtained through the State Matrix of Analytic Hierarchy, according to on the methodology that consists of an appraisal, normalization, and weighting of the factors.
Keywords: Geology, Geomorfholopy, Geological, Geographic Information Systems (GIS).
Scope of the Article: GIS