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ISPRS Int. J. Geo-Inf. 2017, 6(10), 289; doi:10.3390/ijgi6100289

Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil

1
Department of Geography, University of Brasília, Federal District, Brasília 70910-900, Brazil
2
Department of Earth and Space Sciences, University of Washington, Seattle, WA 98195, USA
3
Department of Agricultural and Environmental Engineering, Fluminense Federal University, Niterói 24210-510, Brazil
*
Author to whom correspondence should be addressed.
Received: 31 July 2017 / Revised: 5 September 2017 / Accepted: 11 September 2017 / Published: 6 October 2017
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Abstract

Spatial patterns of shallow landslide initiation reflect both spatial patterns of heavy rainfall and areas susceptible to mass movements. We determine the areas most susceptible to shallow landslide occurrence through the calculation of critical soil cohesion and spatial patterns of rainfall derived from TRMM (Tropical Rainfall Measuring Mission) data for Paraty County, State of Rio de Janeiro, Brazil. Our methodology involved: (a) creating the digital elevation model (DEM) and deriving attributes such as slope and contributing area; (b) incorporating spatial patterns of rainfall derived from TRMM into the shallow slope stability model SHALSTAB; and (c) quantitative assessment of the correspondence of mapped landslide scars to areas predicted to be most prone to shallow landsliding. We found that around 70% of the landslide scars occurred in less than 10% of the study area identified as potentially unstable. The greatest concentration of landslides occurred in areas where the root strength of vegetation is an important contribution to slope stability in regions of orographically-enhanced rainfall on the coastal topographic flank. This approach helps quantify landslide hazards in areas with similar geomorphological characteristics, but different spatial patterns of rainfall. View Full-Text
Keywords: mass movements; SHALSTAB; TRMM; critical cohesion mass movements; SHALSTAB; TRMM; critical cohesion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guimarães, R.F.; Machado, W.P.; de Carvalho, O.A., Júnior; Montgomery, D.R.; Gomes, R.A.T.; Greenberg, H.M.; Cataldi, M.; Mendonça, P.C. Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil. ISPRS Int. J. Geo-Inf. 2017, 6, 289.

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