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Topographic controls of landslides in Rio de Janeiro: field evidence and modeling
Affiliation:1. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;2. Shanxi Taiyuan Continental Rift Dynamics National Observation and Research Station, Beijing 100029, China;3. Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204-5007, USA;4. National Institute of Natural Hazards, Beijing, 100085, China;1. CNR-IRPI, Via Amendola 122-I, 70126 Bari, Italy;2. University of Molise, Department of Biosciences and Territory, Contrada Fonte Lappone, 86090 Pesche, Isernia, Italy;3. Institute of Geography, Romanian Academy, Dimitrie Racovita 12, 023994 Bucharest, Romania;4. Environmental Geography Group, Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081HV Amsterdam, The Netherlands;5. University “Aldo Moro”, Department of Earth and Environmental Sciences, Via Orabona 4, 70125 Bari, Italy
Abstract:Landslides are common features in the Serra do Mar, located along the southeastern Brazilian coast, most of them associated with intense summer storms, specially on the soil-mantled steep hillslopes around Rio de Janeiro city, where the favelas (slums) proliferated during the last few decades. On February 1996, hundreds of landslides took place in city of Rio de Janeiro triggered by intense rainstorms. Since then, many studies have been carried out in two experimental river basins in order to investigate the role played by the topographic attributes in controlling the spatial distribution of landslides inside them. Landslide scars and vegetation cover were mapped using aerial photographs and field observations. A detailed digital terrain model (4 m2 resolution) of the basins was generated from which the main topographic attributes were analyzed, producing maps for slope, hillslope form, contributing area and hillslope orientation. By comparing these maps with the spatial distribution of the landslide scars for the 1996 event, a landslide potential index (LPI) for the many classes of the different topographic attributes was defined. At the same time, field experiments with the Guelph permeameter were carried out and a variety of scenarios were simulated with the SHALSTAB model, a process-based mathematical model for the topographic control on shallow landslides. The results suggest that most of the landslides triggered in the studied basins were strongly influenced by topography, while vegetation cover did affect landslide distribution. Between the topographic attributes, hillslope form and contributing area played a major role in controlling the spatial distribution of landslides. Therefore, any procedure to be used in this environment towards the definition of landslide hazards need to incorporate these topographic attributes.
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