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Browsing by Author "Acosta Arias, Enrique Alfredo"

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    Caracterización de la tipología y cinemática del deslizamiento de la urbanización Trigales Altos, Cuenca a partir de fotografías aéreas, estación total, escáner láser terrestre y ensayos geotécnicos del suelo
    (2018) Samaniego Placencia, Irwin Rashid; Acosta Arias, Enrique Alfredo
    Landslides cause severe economic and social damage in inhabited areas around the world, which is why landslide analysis has gained importance in time. Technological improvements have allowed to develop software powerful enough to perform complex stability analyses in milliseconds, like Bishop and Felenius methods for estimating the Safety Factor (SF) for a hillside or battered terrain. This software is often paired with Geographic Information Systems (GIS), to increase information for high precision studies. The present research took place at the northeast of Cuenca, Ecuador, on a housing estate called “Trigales Altos”, and used Terrestrial Laser Scanning (TLS) to collect data to generate a tridimensional point model in three different moments. This allowed to analyze the kinetics of slide affecting the housing estate. Additionally, characterizations of the soil, both physical and mechanical, showed a terrain composed by highly expansive clay, which also affect households located over the landslide. The tridimensional point cloud analysis revealed that the maximum vertical displacement of the slide was 30 cm, produced in the middle, down the hillside, during seven months, between the first and the last TLS survey. Based on the 2010 ortophoto and data from the 2000 municipal cadaster, the displacement in this area would reach 3 m in 17 years. The safety factor (SF) under normal humidity conditions is 0,6 and considering ground acceleration, the SF is 0,5. The study concludes showing the instability of the hillside and the active slide, with edifications about to collapse.
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    Determinación de los factores que explican la distribución espacial de daños por deformaciones del terreno en la zona de colinas de Challuabamba
    (2016) Ortiz Ulloa, Fernando Andrés; Pauta Suárez, Boris Rodrigo; Acosta Arias, Enrique Alfredo; Armas Novoa, Rolando
    This study focuses on determining the mapping of susceptibility to landslide and the expansive potential of soils in the area of "Colinas de Challuabamba" urbanization, located at the northeast of the city of Cuenca, in the urban extension called "Challuabamba". The landslide susceptibility map was prepared using the methodology of Varhson-Mora-Mora (2002). As a result of the mapping, it was obtained that the area of "very high" susceptibility occupies an area of 4,13 ha (9,9%); the area of "high" susceptibility represents 11,00 ha (26,4%); "moderate" susceptibility 14,78 ha (35,6%); "low" 10,30 ha (24,8%) and "very low" 1,37 ha (3,3%). In general, landslides are located mostly (86,7%) over classified as "high" and "very high" susceptibility areas. Furthermore, the map of expansive potential of clays wasobtained by superimposing the map of the spatial distribution of montmorillonite with the map of susceptibility to soil moisture, applying for each calculation method of Marin-Nieto (1991) and classification proposed by Patrone and Prefumo (2005), respectively. The interpolation method applied was the Inverse Distance Weighted(IDW).The result revealed that the damage observed on the roads and paths of the "Colinas de Challuabamba" urbanization are caused by the presence of expansive mineral montmorillonite (71,4%) and soil moisture in the active layer classified as " moderate" (74,3%).
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    Mapeo de zonas vulnerables a deslizamientos usando PP GIS y técnicas de teledetección
    (2018) Morocho Zurita, Carlos Villie; Pacurucu Cáceres, Natalia Elizabeth; Acosta Arias, Enrique Alfredo
    The new information and communication technologies allow not only specialized technicians to generate geospatial information. At present, systems such as PP GIS allow the population to generate information, thus allowing geospatial data to be constantly updated. This article presents a PP GIS application that has allowed to collect geospatial data from vulnerable areas to landslides in the canton of Cuenca and has been compared with the information raised through remote sensing techniques such as drones and the terrestrial laser scanner.
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    Uav monitoring for enviromental management in galapagos islands
    (INTERNATIONAL SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING, 2016-07-12) Ballari, Daniela Elisabet; Acosta Arias, Enrique Alfredo; Espinoza, A; Morocho Zurita, Carlos Villie; Orellana, D
    In the Galapagos Islands, where 97% of the territory is protected and ecosystem dynamics are highly vulnerable, timely and accurate information is key for decision making. An appropriate monitoring system must meet two key features: on one hand, being able to capture information in a systematic and regular basis, and on the other hand, to quickly gather information on demand for specific purposes. The lack of such a system for geographic information limits the ability of Galapagos Islands' institutions to evaluate and act upon environmental threats such as invasive species spread and vegetation degradation. In this context, the use of UAVs (unmanned aerial vehicles) for capturing georeferenced images is a promising technology for environmental monitoring and management. This paper explores the potential of UAV images for monitoring degradation of littoral vegetation in Puerto Villamil (Isabela Island, Galapagos, Ecuador). Imagery was captured using two camera types: Red Green Blue (RGB) and Infrarred Red Green (NIR). First, vegetation presence was identified through NDVI. Second, object-based classification was carried out for characterization of vegetation vigor. Results demonstrates the feasibility of UAV technology for base-line studies and monitoring on the amount and vigorousness of littoral vegetation in the Galapagos Islands. It is also showed that UAV images are not only useful for visual interpretation and object delineation, but also to timely produce useful thematic information for environmental management.

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