• DocumentCode
    2928372
  • Title

    Identification of erosion susceptible areas in Grande river basin (Brazil)

  • Author

    Guimarães, Renato Fontes ; De Andrade, Adriana Carvalho ; Leal, Laiza Rodrigues ; de Cavalho, O.A.

  • Author_Institution
    Univ. de Brasilia, Asa Norte, Brazil
  • Volume
    4
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    2442
  • Abstract
    Since the 1970s, there is a increasing occupation of the Brazilian "cerrados" by agriculture, with important soil and erosion impacts. The present paper has the purpose to the model morphologic features estimating erosion to subsidize the agricultural planning of the Great river basin (Barreiras, state of Bahia - Brazil), by means of geoprocessing tools. Thus, the topographical factor of Universal Soil Loss Equation (USLE) was used. It was modeled from the Digital Elevation Model (DEM), created by Topogrid module of the ArcInfo software, focusing on hydrology. The slope length of the USLE presents difficulty to be modeled in computational environs. To supply that deficiency methodologies have been proposed in order to obtain automated values with better results. This way, it was developed a program in ArcInfo Macro Language (AML) to optimize the factor slope length map construction from the mathematical formulation proposed before. The input of the developed program it just DEM. A proposition to estimate this variable uses a mathematical formulation from the contribution area. The results maps were: aspect, slope, length exponent of the USLE-factor (m), coefficient X and slope length map. The slope length factor map enables to identify the largest susceptible areas for erosion, improper to agriculture: the results attest that areas prone to erosive process take place at high flow concentration of water.
  • Keywords
    agriculture; erosion; hydrology; rivers; soil; vegetation mapping; ArcInfo Macro Language; ArcInfo software; Bahia State; Barreiras; Brazil; DEM; Digital Elevation Model; Grande river basin; USLE; Universal Soil Loss Equation; agricultural planning; erosion susceptible area; geoprocessing tools; slope length map; topographical factor; topogrid module; Agriculture; Computational modeling; Digital elevation models; Equations; Hydrology; Process planning; Rivers; Sediments; Soil; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294469
  • Filename
    1294469