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Performance of the probability distribution models applied to heavy rainfall daily events Ciência e Agrotecnologia
Marques,Rosângela Francisca de Paula Vitor; Mello,Carlos Rogério de; Silva,Antônio Marciano da; Franco,Camila Silva; Oliveira,Alisson Souza de.
Probabilistic studies of hydrological variables, such as heavy rainfall daily events, constitute an important tool to support the planning and management of water resources, especially for the design of hydraulic structures and erosive rainfall potential. In this context, we aimed to analyze the performance of three probability distribution models (GEV, Gumbel and Gamma two parameter), whose parameters were adjusted by the Moments Method (MM), Maximum Likelihood (ML) and L - Moments (LM). These models were adjusted to the frequencies from long-term of maximum daily rainfall of 8 rain gauges located in Minas Gerais state. To indicate and discuss the performance of the probability distribution models, it was applied, firstly, the non-parametric Filliben...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Probability distribution models; Intense rainfall; Statistical inference; Non-parametric statistical tests.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000400003
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Impacts of urban solid waste disposal on the quality of surface water in three cities of Minas Gerais - Brazil Ciência e Agrotecnologia
Marques,Rosângela Francisca de Paula Vitor; Silva,Antônio Marciano da; Rodrigues,Luciano dos Santos; Coelho,Gilberto.
The environmental impact of three different urban solid waste facilities (USWF) on the quality of the surface water. The studied areas were the Campo Belo sanitary landfill (Varões River), the controlled landfill of Santo Antônio do Amparo (Fabiano River), and the closed dump of Elói Mendes (Mutuca River), which are cities located in southern Minas Gerais state, Brazil were evaluated. At each sampling point water samples were collected at five occasions in the raining season (October - March) and in the dry season (April - June) at three sampling points: (P1) upstream the solid waste facility, (P2) downstream nearby the point of influx from the sewage treatment plant in the sanitary landfill, or at the drainage point from the surface flow of the dump and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Environmental contamination; Water quality index; Sanitary landfill; Controlled landfill; Dump.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542012000600010
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