TCC - Engenharia Florestal (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/436
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Item Área de preservação permanente nos cursos de água da Bacia do Rio São Pedro - PB(2018) Oliveira, Laura Maiara de Freitas; Duarte, Simone Mirtes Araújo; http://lattes.cnpq.br/5876968040869585; http://lattes.cnpq.br/4957483273304674Since the beginning of human existence, this has been interfering with the stability and healthy development of nature. The vital need of fresh water for humanity, propels it to allocate itself in areas near the mirrors of water. However, today we understand that the constant presence of human actions and the removal of existing vegetation in these places, causes impacts to the sources and courses of water, which can result in the loss of these, to the environment. Considering the preservation and conservation of these environments, it is extremely important to investigate the areas considered as permanent preservation, which are protected according to the Brazilian Forest Code. The São Pedro River is the object of study of this work, it is located in rural area of the state of Paraíba. The objective is to investigate whether or not the legislation on Ciliary Forest, in this sub-basin, is considered as requiring 30 m of vegetation bordering its edges and radius of 50 m of vegetation in its springs. Geotechnology tools such as satellite images, SRTM images, Shapefiles and Spring software were used for these results, which allowed the observation and classification of these areas. The characterization of the occupation of the terrestrial surface and the antropism in the place were used. It was concluded that in the APPs of springs 50% and 28.33% are of sparse vegetation and soil exposed respectively, as well as, about 34.73% of sparse vegetation and 19.97% of soil exposed in the margins APPs. In the springs, 100% of the APPs have human interference, and approximately 85.92% in the river banks, which can generate serious future problems for the environment and even humans. Thus, it is observed the need for field studies in the most modified areas, as well as actions aimed at sensitizing the population on the importance of permanent preservation areas in rural areas.Item Correlação espacial entre renda per capita, área construída e cobertura florestal urbana em Recife - PE(2022-09-30) Paulo, Fernanda Vanilly de Lira; Lima Neto, Everaldo Marques de; http://lattes.cnpq.br/6791561445213969; http://lattes.cnpq.br/0175688410552482Since cities are complex socio-ecological systems, it is highly important to study the interrelationship between socio-economic and natural indicators within the urban environment. Studies that relate urban forest cover to income have found a positive relationship, but most are concentrated in cities in developed countries. On the other hand, underdeveloped countries tend to present an irregular pattern of land occupation and social inequalities. In this way, this work aims to verify if there is a spatial correlation between per capita income, forest cover and built-up area in the city of Recife, and if there is, to analyze whether this correlation is positive or negative, in order to provide subsidies for a fairer urban environmental planning from a socio-environmental point of view. The ground cover was made by the Recife Secretariat for the Environment and Sustainability, using an orthomosaic from 2013. The neighborhoods were used as a basic spatial unit and for income data, the gross domestic product (GDP) per capita, in reais. The following analyzes were performed: Univariate Global Spatial Autocorrelation, Univariate Local Spatial Autocorrelation, Bivariate Global Spatial Correlation and Bivariate Local Spatial Correlation. The variables tested were the percentage of forest cover, percentage of constructed area and value in reais of per capita income per neighborhood. The city of Recife presented a coverage of 1% of agricultural and aquaculture activities, 4.5% of water, 2.6% without vegetation cover, 2.5% of wetland, 49.6% of constructed area, 37.6 % Forest Cover and 2.1% Herbaceous Vegetation. The Moran Index for univariate global spatial autocorrelation was 0.339, 0.476 and 0.243 for built area, forest cover and income, respectively. For the univariate local spatial autocorrelation, a significant cluster of HH Built Area in the north and central-north regions was observed, representing 31% of the neighborhoods of Recife, a cluster LL (39%) formed by neighborhoods with very low forest cover, and for Income per capita, there is a pattern of concentration in the central-north area of the city (HH cluster), surrounded by LH clusters and existence of LL clusters in the northwest, southwest and south areas (peripheries). Moran's indices for the bivariate global spatial correlation were: Forest Cover x Income (-0.119); Forest cover x Constructed Area (-0.334); Income x Built area (0.100). For the bivariate local spatial correlation, significant clusters were found for: Forest cover x Income (28% LH cluster in the central-north region of the city); Forest cover x Built area (29% LH cluster, in the central-north and north regions); Income x Built Area (22% LH cluster in the northern region). Overall, there was a negative correlation between forest and income, forest and built-up area and a positive correlation between income and built-up area, reflecting a spatial pattern that favors low-income populations in terms of proximity to forest cover, but this favoring is mainly due to the existence of remnants forests that along the historical process of urbanization of the city were being moved to the peripheral regions.Item Suscetibilidade à erosão laminar (PNE) em Machados - PE(2018) Falcão, Cassiano José Lages Marinho; Duarte, Simone Mirtes Araújo; http://lattes.cnpq.br/5876968040869585; http://lattes.cnpq.br/5445952042358738This paper aimed to estimate laminar erosion susceptibility in Machados County – PE, achieved using the adapted Universal Soil Loss Equation (USLE) and SIG for computing and analyzing data. The methodology used can be split in five steps: collection and integration of rainfall data on a thirty-year interval, local topography analysis using geoprocessing tools, laboratory analysis and posterior geolocation of local soils physical parameters and the final computation through the adapted USLE formulae. The achieved results allowed surmising that the County’s soil loss susceptibility is low, but significant, with a mean value reaching 368t/ha.year. The biggest influential factor was the topographic factor, averaging (…). Soil erodibility was considerably high, with a mean value of (…) and rain Erosivity, found to be (…) had the lowest impact on soil erosion. It is also possible to perceive a considerable spatial variation from the results, despite the reduced area of study, endorsing geotecnology use on its determination.Item Suscetibilidade à erosão laminar (PNE) em Machados - PE(2018) Falcão, Cassiano José Lages Marinho; Duarte, Simone Mirtes Araújo; http://lattes.cnpq.br/5876968040869585; http://lattes.cnpq.br/5445952042358738This paper aimed to estimate laminar erosion susceptibility in Machados County – PE, achieved using the adapted Universal Soil Loss Equation (USLE) and SIG for computing and analyzing data. The methodology used can be split in five steps: collection and integration of rainfall data on a thirty-year interval, local topography analysis using geoprocessing tools, laboratory analysis and posterior geolocation of local soils physical parameters and the final computation through the adapted USLE formulae. The achieved results allowed surmising that the County’s soil loss susceptibility is low, but significant, with a mean value reaching 368t/ha.year. The biggest influential factor was the topographic factor, averaging (…). Soil erodibility was considerably high, with a mean value of (…) and rain Erosivity, found to be (…) had the lowest impact on soil erosion. It is also possible to perceive a considerable spatial variation from the results, despite the reduced area of study, endorsing geotecnology use on its determination.