Bacharelado em Agronomia (UAST)

URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/2927

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APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso

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Análise espaço-temporal da precipitação pluviométrica por Índice de Anomalia de Chuva (IAC) no Sertão de Pernambuco
(2019) Costa, Sidney Anderson Teixeira da; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/3437135530105879
Extreme weather events assume great social and economic relevance, especially in the semiarid regions. The analysis of the rainfall regime of a given region can be done by the Rain Anomaly Index (IAC), which allows understanding and classifying the rainfall regime as to the severity of dry and rainy cycles. The objective of this study was to study the spatio-temporal variability of precipitation in the Sertão de Pernambuco, using the Rain Anomaly Index (IAC) for the climatological normal (1987-2017). For this, rainfall data were obtained from the municipalities of Afogados da Ingazeira, Araripina, Arcoverde, Cedro, Flores, Inajá, Ipubi, Mirandiba, Serra Talhada, Serrita and Sertânia. Annual and interannual precipitation analyzes were performed, negative and positive anomalies were determined throughout the climatological normal and precipitation spatial distribution maps were elaborated in the different annual classifications based on the IAC. The results reveal that in ten of the eleven municipalities studied the rainy season corresponds to the months from January to April. It was found that the years 1993, 1998 and 2012 were the driest in the series, while 1988, 2004 and 2009 were the driest. The number of negative anomalies in the analyzed period was 54.8%, thus showing greater numbers of dry than wet years. It was also found that the Sertão mesoregion has a certain degree of homogeneity in relation to extreme events, i.e., rainy or dry years, when they occur, tend to affect most of the territory. In this work, it was shown that the IAC can be used as a tool to assist climate monitoring and rainfall variability of a given region.
Caracterização morfométrica e ocupação do solo como instrumentos de análise da bacia do Açude Cachoeira I
(2019-12-12) Santos, Antonio Genessis Bezerra dos; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/2480364080452279
In large urban centers, with high population density, requires a higher demand for water. Problems generated by the decrease in water quantity and quality, together with climate change, have made the physical and biotic characteristics of the basin more evident, aiming to improve the analysis of these water problems, improving the use for human supply. Thus, the study sought to determine the morphometry and changes in land use and occupation over the watershed. The use of Digital Elevation Models (DEM), processed in Quantum GIS software (QGIS) with the aid of TauDEM hydrological analysis complement provides the calculations of the morphometric parameters: Compactness Coefficient, Form Factor, Drainage Density Index, main river (km / km), Winding Index (%) and Concentration Time (h), plus ground cover obtained from MAPBIOMAS data. The data obtained show that the Cachoeira II reservoir presents no flood risks because it has an elongated shape, the predominance of the relief is wavy and lightly hilly, the main river presents low winding which causes a higher flow velocity. In addition, the natural vegetation has decreased in the basin, which may cause erosion and sediment transport, as well as a decrease in the waters of the reservoir to supply the city of Serra Talhada -PE.
Relatório de estágio supervisionado obrigatório: extensão rural
(2019-12-05) Santos, Antonio Genessis Bezerra dos; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/2480364080452279
Variabilidade espacial dos atributos químicos em um cambissolo háplico ta eutrófico típico
(2020-11-04) Santos, Wagner Martins dos; Bezerra, Alan Cezar; http://lattes.cnpq.br/3690303625468223; http://lattes.cnpq.br/4506292783833761
Innovative technologies, such as the expansion of no-till, integrated production systems, and crop biotechnology, are becoming increasingly important in our country, showing the importance of developing techniques that allow more efficient use of resources. That said, the spatial variability of chemical soil attributes was evaluated in an experimental area at the Federal Rural University of Pernambuco / Serra Talhada Academic Unit (UFRPE / UAST) in soil classified as Typical Cambisolo Háplico Ta Eutrófico Typico, to analyze the spatial behavior of the variables: Phosphorus (P), pH, Potassium (K), Sodium (Na), Aluminum (Al), Calcium (Ca), Magnesium (Mg), Organic Matter (MO), Potential Acidity (H + Al), Sum Bases (SB) and Cation Exchange Capacity (CTC) at pH 7.0. The data were collected in a sample grid divided into 4 plots containing 16 subplots each of 3.75x3m, resulting in 128 simple samples divided into depths from 0 to 10 cm and 10 to 20 cm. The data were analyzed using descriptive and geostatistical statistics using spatial dependence analysis and adjustment of semivariograms using the free software R version 3.5.1. Most of the evaluated attributes had an average coefficient of variation (CV) with the highest CV value found for variable K, 102.79 at the depth of 0-20, and the lowest value for pH, 3.58. Most of the attributes showed a pure nugget effect, which may be the result of measurement errors or because the spacing is greater than necessary to identify the spatial dependence, thus being adjusted to the linear model, among the variables that fit the models, the majority presented weak spatial dependence with the variable SB presenting better spatial dependence.