Navegando por Assunto "Atlantic Dipole"

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Influência da variabilidade climática das chuvas sobre a erosividade
(Universidade Federal do Pará, 2016-08-26) COSTA, Carlos Eduardo Aguiar de Souza; BLANCO, Claudio José Cavalcante; http://lattes.cnpq.br/8319326553139808
One of the main models to evaluate soil loss by erosion is the "Universal Soil Loss Equation" (USLE), where the determination of the erosive potential is the product of various indexes, including erosivity of rain (R). Through the R, it is possible to identify when you have the greatest risk of water erosion. In addition, it is important to study how climate change influence in this factor, noting possible tendencies to erosive events. Thus, this study aimed to analyze the influence of climatic anomalies, ENSO (El Niño Southern Oscillation) and Atlantic Dipole on erosivity of rainfall in Belém, PA. It has been calculated the monthly erosivity 1986 series to 2015, classifying them as to intensity; qualification events ENSO in the same time period, through the index of oscillation of the Niño (ION); It was found that the occurrence of the Atlantic Dipole through TNA indexes (Tropical Northern Atlantic) and TSA (Tropical Southern Atlantic), obtaining the inter-hemispheric gradient (IHG). With these data, Pearson correlation analysis and linear regression analysis between the erosivity and the ION and IHG have been carried out. It was observed that the potential erosive rainfall is affected by the ENSO phenomenon, so that a greater number of months had less erosive potential in El Niño years. In La Niña years, noted increased levels of erosivity due to the increase in precipitation, but not representative. The years of occurrence of Negative Dipole showed strong correlation, this leads to the conclusion that this phenomenon probably has more influence on the erosivity. The Positive Dipole showed little correlation with the erosive potential. It was concluded that the erosivity has undergone changes, showing effects that not only repeated but also showed strong correlations with climatic indexes.