Mestrado em Ciências Florestais

URI Permanente para esta coleção

http://repositorio.ufes.br/handle/10/17467

Nível: Mestrado Acadêmico
Ano de início: 2008
Conceito atual na CAPES: 4
Ato normativo: Ofício N. 39-12/2007/CTC/CCA/CAPES de 31/07/2007 Homologado pelo CNE (Portaria Nº 656 de 22/05/2017) Publicação DOU em 27/07/2017, Seç. 1, Pag. 36.
Periodicidade de seleção: Semestral
Área(s) de concentração: Ciências Florestais
Url do curso: https://cienciasflorestais.ufes.br/pt-br/pos-graduacao/PPGCFL/detalhes-do-curso?id=1424

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Navegando Mestrado em Ciências Florestais por Autor "Amaral, Atanásio Alves do"

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    Índice de qualidade da água de nascentes no assentamento Paraíso, Alegre, ES
    (Universidade Federal do Espírito Santo, 2012-08-17) Agrizzi, Daniela Vantil; Garcia, Giovanni de Oliveira; Zanetti, Sidney Sára; Cecílio, Roberto Avelino; Dias, Henrique Machado; Amaral, Atanásio Alves do
    The objective of this study was to evaluate the water quality of springs in the Paraíso settlement, located in city of Alegre,ES. The dairy production is the main economic activity developed in the region and in 2006, the National Institute of Colonization and Land Reform (INCRA), joined the settlers, started a project of reconstruction of Mandatory Preservation Areas (APP S) of the springs which resulted in different treatments around the springs, according to the treatment and expectations of each producer. Out of 25 existing springs, eight were selected: N1, in an Atlantic Forest remnant; N2,N3,N4,N5,N6,N7 are in recovery, being that the springs are fenced, however, ranging in size of the fenced area, in topography, recovery stages reached and type of existing vegetation; and the N8 wasn t fenced and access the farm animals had free access. Three samples of water were collected in each spring between November/2011 and March/2012 and 17 parameters were analyzed: total and thermotolerant coliforms, pH, alkalinity, dissolved oxygen (DO), biochemical oxygen demand (BOD), total nitrogen, total phosphorus, iron, calcium, magnesium, temperature, turbidity, electrical conductivity (EC) and dissolved suspended total solid. The results were compared to the normative standards of legislation for environmental quality and portability of water and was calculated the Water Quality Index following the method adapted from a Environmental Company of São Paulo (CETESB), in which the parameters pH and DO were taken out because they werent consider important for the quality calculation of these springs. Multivariate statistical analysis technique was utilized to facilitate the interpretation of the large number of parameters thru the Principal Component Analysis (PCA) and Cluster Analysis (CA). Based on the ACP, two components were selected which explained 67.60% of total variance of the data and the parameters best explains the variation between the springs are: total and thermotolerant coliforms, BOD, EC, alkalinity, the turbidity, suspended total solids and temperature. In the CA, three groups were formed, distinguishing group I, formed by the fenced springs, group II, consisting N1 and group III consisting N8. Group I presented the best water quality and group III the worst, revealing the importance of the protection of springs. The water quality in the forest was slightly lower than group I to have had more contact with microbiological contaminants (excrement of wild animals) and to have received greater input of organic matter and sediments than those protected by the density of forage grasses
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    Qualidade da água em microbacias hidrográficas com diferentes coberturas vegetais
    (Universidade Federal do Espírito Santo, 2015-02-27) Pastro, Milena Scaramussa; Zanetti, Sidney Sara; Cecílio, Roberto Avelino; Amaral, Atanásio Alves do; Garcia, Giovanni de Oliveira
    Water is a resource essential for life on the planet and therefore, studies on the behavior of their quality are of paramount importance. Thus, the aim of this study is to evaluate the water quality in watersheds under different land uses. To this end, four watersheds were selected with different land uses: pasture (surface water source, lentic environment and lotic); Forest regeneration in primary stage (groundwater); forest (ground and surface water in lentic environment); and coffee plantation (groundwater and surface water in lentic and spring environment). The samples were collected every two months, between February 2014 and December 2014 were analyzed: total and fecal coliforms; dissolved oxygen (DO); total nitrogen (Nt); PO4 3- ; turbidity; temperature; pH; Biochemical Oxygen Demand (BOD); Electrical conductivity (EC); total solids (TS); dissolved solids (DS); suspended solids (SS); metals and calcium, magnesium and iron. We conducted a descriptive analysis of each variable in the dry and rainy seasons, with the results compared with the normative standards of the Brazilian legislation, having calculated the Water Quality Index (SEQI) at each collection point. To assist in the interpretation of the large number of variables, we used multivariate statistical analysis by cluster analysis (AA) and principal component analysis (PCA). All collection points had some type of noncompliance with regulations for humano.Os major water quality indices consumption (IQA) were found in the watershed forest area, followed by the watersheds of the coffee area and pasture. In AA, four groups were formed during the rainy season: group 1 formed by springs and groundwater; group 2 formed by lentic the breakfast area and the forest; group 3 formed by lentic environment pasture; and group 4 formed by lotic pasture. In the dry period, three groups were formed: group 1 formed by spring breakfast area, groundwater forest area of the watershed, lentic environments of the watersheds of cafeeicultura and forest; group 2 formed by lentic environment of the pasture area of the watershed; and group 3 formed by the source and lotic the pasture area of the watershed. The difference between the environments was the main factor of influence on the segregation of groups. From the ACP were selected 4 main components explained 73.09% of the total variance of the data. The selected variables were: the EC, turbidity, Mg, Fe, SD, Nt, BOD, pH, fecal coliform, and therefore being related to dissolved salts, pollution by organic matter and pH.