960 resultados para recursos hídricos


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The objective of the present study was to analyze the most appropriate water depth for maintaining a good quality of Bermudas Grass (Cynodon dactylon) for soccer fields while saving water and electrical resources. Four treatments were used: T1 - irrigated with a water depth of 50% of evapotranspiration (ETo), T2 - irrigated with a water depth of 75% of ETo, T3 - irrigated with a water depth of 100% of ETo and T4 - irrigated with a water depth of 150% of ETo, all treatments were irrigated daily. The reference ETo was obtained by the Penman-Monteith method. The study was conducted in an experimental area of the Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro - Campus Uberaba, Uberaba, Minas Gerais, Brazil, from June to September 2010 and from January to March 2011. Three evaluations of the variables were performed during the experimental period. The samples were obtained with the help of a cylindrical extractor with 10 cm in diameter and 30 cm in height. In each sample height and dry organic matter (leaf, root and organic material) were analyzed. The experimental design was randomized block with four treatments in five blocks. No significant differences were observed for dry matter and height (roots and organic material). The best results were those for T4 which obtained the greatest height.

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In managing water resources, indexes are used to simplify and quantify available information as well as report the characteristics of a region under study. These indexes may be extremely demanding concerning information required, or very simple, and the water poverty index and Falkenmark index are examples of both extreme situations, respectively. Searching for an index that considers regional and local complexities and information available in developing countries, a new index was developed to evaluate the population accessibility to water resources. This new index combines the Human Development Index and Falkenmark Index and geographic information systems. The results are presented in figures which show the situation at national level, highlighting that the Northeast and Southeast regions are the most vulnerable in Brazil.