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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/137340
Título: 
Spatial distribution of runoff depth from a watershed located in a cuesta relief area of São Paulo State, Brazil
Autor(es): 
Instituição: 
Universidade Estadual Paulista (UNESP)
ISSN: 
2156-8359
Resumo: 
This study was undertaken in a 1566 ha drainage basin situated in an area with cuesta relief in the state of São Paulo, Brazil. The objectives were: 1) to map the maximum potential soil water retention capacity, and 2) to simulate the depth of surface runoff in each geographical position of the area based on a typical rainfall event. The database required for the development of this research was generated in the environment of the geographical information system ArcInfo v.10.1. Undeformed soil samples were collected at 69 points. The ordinary kriging method was used in the interpolation of the values of soil density and maximum potential soil water retention capacity. The spherical model allowed for better adjustment of the semivariograms corresponding to the two soil attributes for the depth of 0 to 20 cm, while the Gaussian model enabled a better fit of the spatial behavior of the two variables for the depth of 20 to 40 cm. The simulation of the spatial distribution revealed a gradual increase in the depth of surface runoff for the rainfall event taken as example (25 mm) from the reverse to the peripheral depression of the cuesta (from west to east). There is a positive aspect observed in the gradient, since the sites of highest declivity, especially those at the front of the cuesta, are closer to the western boundary of the watershed where the lowest depths of runoff occur. This behavior, in conjunction with certain values of erodibility and depending on the land use and cover, can help mitigate the soil erosion processes in these areas.
Data de publicação: 
2014
Citação: 
International Journal of Geosciences, v. 5, n. 2, p. 137-145, 2014.
Duração: 
137-145
Palavras-chaves: 
  • Geostatistical analysis
  • Soil density
  • Water retention
  • Geographic Information System
Fonte: 
http://dx.doi.org/10.4236/ijg.2014.52015
Endereço permanente: 
Direitos de acesso: 
Acesso restrito
Tipo: 
outro
Fonte completa:
http://repositorio.unesp.br/handle/11449/137340
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