Análisis de susceptibilidad a movimientos de masa mediante el uso de sistemas de información geográfica en la parroquia urbana San José, cantón Catamayo, provincia de Loja
The following investigation thesis aims to identify and characterize the susceptibility join to slip areas from the Parish of San Jose, Catamayo canton, from the Province of Loja. In order to carry out this study we released several works, both on the field at about 521, 90. This includes the Parish...
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| Định dạng: | bachelorThesis |
| Ngôn ngữ: | spa |
| Được phát hành: |
2016
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://dspace.unl.edu.ec/jspui/handle/123456789/17158 |
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Thêm thẻ | Tóm tắt: | The following investigation thesis aims to identify and characterize the susceptibility join to slip areas from the Parish of San Jose, Catamayo canton, from the Province of Loja. In order to carry out this study we released several works, both on the field at about 521, 90. This includes the Parish, the office and laboratory, as topographical, geological surveys, the actual use of ground and the collection of information from the meteorological stations. This information was processed using Software’s like (ArcGis 10.1., Ilwis 3.7 and ArcView 3.2), this allowed us to obtain the modeling for the calculation of the susceptibility join to slip areas. In order to make a comparison we released the calculation of susceptibility join to slip areas using the Sum of Ranks method, this is based on the assignment of weights, for the variables from the map of susceptibility, the same that considers the factors that influence the instability with weight assignation or expert criteria (Carrara et al., 1995; Castellanos 2001; Castellanos, 2008), by gathering the variables like Geology (0,33), Geomorphology (0,27), Pending (0,20), use of ground (0,13), Isohyet (0,07). As a final result, the susceptibility join to slip on the studied areas with the method of Sum of Ranks, it was determined that the total of the surface from the studied zone, was 28,39% belonging to a low half susceptibility, 20,61% a low susceptibility, 24,97 % half susceptibility and 17,74% with a higher susceptibility and 8,29 higher susceptibility. This results could also be verified within the office using the inventory of landslides, map comparison and on the supervised field from the studied zone, we can get to know them and evidence this categories. Now with the results that have been obtained, is that they should be applied with a base on making decisions on the planning processes, mainly on the ones that belong to house constructions. |
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