Flow accumulation based method for the identification of erosion risk points in unpaved roads

  • Rherison Tyrone Silva AlmeidaEmail author
  • Nori Paulo Griebeler
  • Max Well Rabelo de Oliveira
  • Thiago Henrique Arbués Botelho
  • Alisson Neves Harmyans Moreira


The unsuitable construction of unpaved roads has been causing problems related to the formation of erosive processes, sediments in watersheds, bogs, flooding, and holes. Presuming that the areas where flow accumulation intersects unpaved roads represent risk points, our objectives are (1) to develop a qualitative method based on the GIS software management tool (FlowAccRoad) for the identification of the intersection points between flow accumulation and roads and (2) to verify the discrepancy between the points of intersection produced by digital elevation models (DEM) accounting for different spatial resolutions. In the GIS environment, we used the Shuttle Radar Topography Mission (SRTM) and Goiania (GOI) digital elevation models for the modeling of flow accumulation and vectorization of the unpaved roads, both of which are based on the Bandeira Stream Watershed in Goiania, Goiás, Brazil. This highlights that 54 points of intersection between the flow accumulation and unpaved roads present problems related to erosive processes and quagmires, among others. The FlowAccRoad method identified the principal critical points observed in the field, using both the DEM of 30.4 m of spatial resolution (SRTM) and also of 4.8 m of spatial resolution (GOI). From the FlowAccRoad method, we observed that 91% of the risk points identified through the GOI DEM were located less than 20 m from valid points in the field by using GPS. Analyzing the SRTM DEM, only 45% of the critical risk points identified by the method were located less than 20 m from valid points in the field.


Geoprocessing Watershed management Environmental sciences Soil conservation 


Supplementary material

10661_2019_7949_MOESM1_ESM.rar (10 kb)
ESM 1 The model builder for the FlowAccRoad method is available for download as supplementary material. (RAR 9 kb)


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rherison Tyrone Silva Almeida
    • 1
    Email author
  • Nori Paulo Griebeler
    • 2
  • Max Well Rabelo de Oliveira
    • 3
  • Thiago Henrique Arbués Botelho
    • 2
  • Alisson Neves Harmyans Moreira
    • 2
  1. 1.Laboratório de Processamento de Imagens e Geoprocessamento (Lapig/IESA)Universidade Federal de GoiásGoiâniaBrazil
  2. 2.Engenharia de Biossistemas, Escola de AgronomiaUniversidade Federal de GoiásGoiâniaBrazil
  3. 3.Instituto Federal de GoiásGoiâniaBrazil

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