142 resultados para zoneamento climático


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Climate variability and therefore the rainfall is often cited today, in times to speak of "global change", "global warming", "anthropogenic disasters," among other terms related to climate issues, which may cause floods and disasters that affect entire regions. In this sense, the seasonal rainfall and its extremes in the basin of Ivaí river, which has a drainage area of approximately 36 000 km2, covering a length of 680 km, located in the State of Paraná between coordinates 22 º 54'S 25 ° 44'S and 55 44'W to 52 º 42'W, were analyzed. Influence of rainfall for the man occupation is undeniably important, not less important is the role that this issue poses to the climate abiotic and biotic environment, because the dynamic relations between the fauna and flora is directly related to the availability of water in system (in this case, rain). The methodological procedures used during the research focused on statistical analysis of rainfall series daily, monthly and yearly, provided by the Superintendence of Water Resources Development and Environmental Protection Agency - SUDERHSA, an agency linked to the government of Parana. The analysis period chosen was from 1975 to 2005, with 38 stations for data collection, distributed evenly across the search area. The standard rainfall in the basin is explained mainly by convective processes in the summer (wet season) and front system causing more homogeneous rainfall over the basin (dry season). What is well marked is the occurrence of maximum rainfall in the years 1983 and 1997 (El Niño) and minimal in the years 1977, 1985 and 1988 (La Niña). Finally, although the study area have undergone a significant change in your landscape for over thirty years, this study indicates no significant interference in rainfall.

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Knowing the annual climatic conditions is of great importance for appropriate planning in agriculture. However, the systems of climatic classification are not widely used in agricultural studies because of the wide range of scales in which they are used. A series with data from 20 years of observations from 45 climatological stations in all over the state of Pernambuco was used. The probability density function of the incomplete gamma distribution was used to evaluate the occurrence of dry, regular and rainy years. The monthly climatic water balance was estimated using the Thornthwaite and Mather method (1955), and based on those findings, the climatic classifications were performed using the Thornthwaite (1948) and Thornthwaite and Mather (1955) for each site. The method of Kriging interpolation was used for the spatialization of the results. The study classifications were very sensitive to the local reliefs, to the amount of rainfall, and to the temperatures of the regions resulting in a wide number of climatic types. The climatic classification system of Thornthwaite and Mather (1955) allowed efficient classification of climates and a clearer summary of the information provided. In so doing, it demonstrated its capability to determine agro climatic zones.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)