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Geomorphological characterization and identification of areas at risk from mass movements in the Llacanora district, Cajamarca, 2020

EasyChair Preprint no. 5867

8 pagesDate: June 23, 2021

Abstract

Mass movements are a great problem that has affected a large number of people over the years, causing isolation, loss of material and, unfortunately, human goods. Knowing the various forms that landscapes have allows us to develop a better territorial planning, therefore, the aforementioned damages can be avoided. Therefore, the objective of this research is to locate the areas at risk of mass movements in Llacanora district through a geomorphological characterization. In the methodology part, two techniques were used, field observation was the first, for which various data collection sheets were used; documentary analysis was the second, in which a large amount of information from works related to the subject was reviewed. The entire investigation was divided into three very important stages, the pre-field work, data collection and the final stage of cabinet. A total of 61 geomorphological units were found grouped into three main environments based on their origin, 33 of denudational environment; 6 of morphostructural environment and 22 of fluvial environment. On the other hand, 20 mass movements of falling, crawling and sliding type were identified. For the classification of susceptible areas, the geological material, the inclination of the slope and the type of geoform were mainly taken into consideration, obtaining a total of 29 areas at risk, classified as very high, high, moderate and low risk

Keyphrases: Geomorfología, movimientos de masa, Riesgo

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5867,
  author = {Claudio S. Canto Silva and Daniel A. Alva Huamán},
  title = {Geomorphological characterization and identification of areas at risk from mass movements in the Llacanora district, Cajamarca, 2020},
  howpublished = {EasyChair Preprint no. 5867},

  year = {EasyChair, 2021}}
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