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Multi-Source Data Integration to Investigate a Deep-Seated Landslide Affecting a Bridge
- Source :
- RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA), Remote Sensing, Vol 11, Iss 16, p 1878 (2019), Remote Sensing; Volume 11; Issue 16; Pages: 1878
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- The integration of data from different sources can be very helpful in understanding the mechanism, the geometry, the kinematic, and the area affected by complex instabilities, especially when the available geotechnical information is limited. In this work, the suitability of different techniques for the study of a deep-seated landslide affecting a bridge in Alcoy (Spain) is evaluated. This infrastructure presents such severe damage that has rendered the bridge unusable, which prevents normal access to an important industrial area. Differential SAR Interferometry (DInSAR) and terrestrial Light Detection and Ranging (LiDAR) remote sensing techniques have been combined with ground displacement monitoring techniques, such as inclinometers and conventional geological and geotechnical investigation, electrical-seismic tomography, damage, and topographic surveys, to determine the boundaries, mechanism, and kinematics of the landslide. The successful case study that is illustrated in this work highlights the potential and the need for integrating multi-source data for the optimal management of complex landslides and the effective design of remedial measurements. This work has been supported by the University of Alicante under the projects GRE17-11, and the Spanish Ministry of Economy and Competitiveness (MINECO), the State Agency of Research (AEI) and the European Funds for Regional Development (FEDER) under projects TEC2017-85244-C2-1-P and TIN2014-55413-C2-2-P, and the Spanish Ministry of Education, Culture and Sport under project PRX17/00439.
- Subjects :
- 010504 meteorology & atmospheric sciences
Rotational landslide
0211 other engineering and technologies
02 engineering and technology
Kinematics
01 natural sciences
Displacement (vector)
Bridge (nautical)
Multi-source integration
structural damage
bridge
lcsh:Science
Bridge
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
Geotechnical investigation
multi-source integration
Landslide
Ingeniería del Terreno
rotational landslide
Lidar
Remote sensing (archaeology)
General Earth and Planetary Sciences
lcsh:Q
Inclinometer
DInSAR
Structural damage
Geology
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....1392394a4daf5db6c6754b3c61e1ac28