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Calegario,Arthur T.; Pruski,Fernando F.; Ribeiro,Rayssa B.; Ramos,Maria C. A.; Rego,Fernando S.. |
ABSTRACT Regionalization is an important technique for estimating the flow of hydrographic sections with a lack of data. First, it is necessary to identify hydrologically homogeneous regions (HHRs), which are commonly validated via statistical analyses. Because this step is understood to be subjective, studies that contribute to a greater reliability in identifying regions are needed. In this context, the objective was to evaluate the inclusion of a physical analysis of the average regionalized flow rates as an aid to identify HHRs. The groupings were defined on the basis of geographical convenience methods and cluster analysis. For the assessment of regionalized flows, six statistical indices were used with a physical analysis that was performed via a... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Regionalization; Long-term average streamflow; Planning and management of water resources; Cluster analysis; Geographical convenience. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300334 |
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Calegario,Arthur T.; Pereira,Luis F.; Pereira,Silvio B.; Silva,Laksme N. O. da; Araújo,Uriel L. de; Fernandes Filho,Elpídio I.. |
ABSTRACT The current demand for food has been met through the exploitation of natural reserves. Brazil has 26% of its extension occupied by agricultural uses, 62% of which are pastures. Degraded pastures have greater land use intensity than well-managed pastures, leading to greater degradation of the environment. Land use classification systems consider that pastures are well managed, a misconception for the Brazilian reality. Based on this approach, it was aimed to develop a methodology for mapping the intensity of land use by pasture via remote sensing. The method of mapping was developed and validated in basins with different soil and climatic characteristics. Three calibrations were performed based on NDVI values to ascertain the influence on the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil and water conservation; GIS; Kappa and weighted kappa indices. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000500352 |
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