DETERMINANT PLUVIOMETRIC CHARACTERISTICS OF SEDIMENT TRANSPORT IN A CATCHMENT WITH THINNED VEGETATION IN THE TROPICAL SEMIARID

Authors

  • Marcos Makeison Moreira de Sousa Department of Agricultural Engineering, Universidade Federal do Ceará, Fortaleza, CE https://orcid.org/0000-0001-7176-0590
  • Helba Araújo de Queiroz Palácio Department of Education, Instituto Federal do Ceará, Iguatu, CE https://orcid.org/0000-0002-5105-4821
  • Eunice Maia de Andrade Department of Environmental and Technological Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN https://orcid.org/0000-0002-9750-0364
  • Jacques Carvalho Ribeiro Filho Department of Agricultural Engineering, Universidade Federal do Ceará, Fortaleza, CE https://orcid.org/0000-0001-9544-009X
  • Matheus Magalhães Silva Moura Department of Agricultural Engineering, Universidade Federal do Ceará, Fortaleza, CE https://orcid.org/0000-0001-5460-3198

DOI:

https://doi.org/10.1590/1983-21252020v33n322rc

Keywords:

Water erosion. Precipitation. Surface runoff.

Abstract

Knowing determinant factors of erosive process is essential to adopt soil conservationist and loss-mitigation measures. Therefore, the objective of this work was to assess the correlation between rainfall characteristics and sediment transport in the Semiarid region of Brazil. The study was conducted at the Iguatu Experimental Basin in the state of Ceará, Brazil, in a watershed with area of 1.15 ha. The vegetation was thinned by removal of plants with diameters below 10 cm, and the area remained with an arboreous cover of 60%.  The following variables were evaluated from 2012 to 2016: rainfall depth (mm), rainfall duration (hours), maximum rainfall intensity in 5, 10, 15, 20, 30, 45, and 60 minutes (mm h-1), mean rainfall intensity (mm h-1), rainfall depth in the previous 5 days (mm), runoff depth (mm), and transported sediment (kg ha-1). The records showed 158 rainfall events, 27 with surface runoff and 24 with sediment transport. The correlations were investigated by multivariate analysis of principal components (PC). The model explained 84% of total variance with four PC—PC1, PC2, PC3, and PC4 were formed, respectively, for disaggregating power of rainfall on soil particles, represented by the rainfall intensities; soil water content; runoff depth and sediment transport; and rainfall duration and interval between rainfalls. The highest factorial weight was found for the maximum intensity in 20 minutes, indicating the need for further hydrological studies focused on this variable at basin scale in areas of the Semiarid region of Brazil subjected to thinning of the vegetation.

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Published

31-07-2020

Issue

Vol. 33 No. 3 (2020)

Section

Agricultural Engineering

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