Diagnóstico ambiental das águas do estuário Jundiaí-Potengi pela determinação dos índices de qualidade da água e toxidez

This study is an environmental diagnosis of the Jundiaí-Potengi/RN estuarine system waters, using calculations of pollution indicator indices such as the Water Quality Index (WQI) and the Toxicity Index (TI). The samples were collected at twelve points on the estuary, at high and low tide, between August and November 2007, over four campaigns. The study area, located in a high impact region, has various activities on its banks such as: discharge of untreated or undertreated domestic and industrial sewage, shrimp farming, immunizer stabilization lakes, riverside communities, etc. All the parameters analyzed were compared to the limits of CONAMA Resolution No. 357 of 2005 for healthy and saline Class 1 waters. The results found prove the impact caused by various activities, mainly the parameters related to the presence of organic material, such as DQO, DBO, COT and thermotolerant colliforms. The IQA for most of the collection points was of medium quality. For the metals, although values above the Resolution limits were found, most of them were lower than the detection limits of ICP-OES used, indicating that they tend to be transported by the dynamic of the tides or rainfall and are deposited in bottom sediments, resulting in a TI of 1.0 in this water, when they are absent, which occurs in most cases, or 0.0, when heavy metals are found in these waters

Diagnóstico da degradação ambiental no município de Areia Branca-RN por geotecnologias

The municipality of Areia Branca is within the mesoregion of West Potiguar and within the microregion of Mossoró, covering an area of 357,58 km2. Covering an area of weakness in terms of environmental, housing, together with the municipality of Grossos-RN, the estuary of River Apodi-Mossoró. The municipality of Areia Branca has historically suffered from a lack of planning regarding the use and occupation of land as some economic activities, attracted by the extremely favorable natural conditions, have exploited their natural resources improperly. The aim of this study is to quantify and analyze the environmental degradation in the municipality. Thus initially was performed a characterization of land use using remote sensing, geoprocessing and geographic information system GIS in order to generate data and information on the municipal scale, which may serve as input to the environmental planning and land use planning in the region. From this perspective, were used a Landsat 5 image TM sensor for the year 2010. In the processing of this image was used SPRING 5.2 and applied a supervised classification using the classifier regions, which was employed Bhattacharya Distance method with a threshold at 30%. Thus was obtained the land use map that was analyzed the spatial distribution of different types of the use that is occurring in the city, identifying areas that are being used incorrectly and the main types of environmental degradation. And further, were applied the methodology proposed by Beltrame (1994), Physical Diagnosis Conservationist under some adaptations for quantifying the level of degradation or conservation study area. As results, the indexes were obtained for the parameters in the proposed methodology, allowing quantitatively analyze the degradation potential of each sector. From this perspective, considering a scale of 0 to 100, sector A and sector B had value 31.20 units of risk of physical deterioration. And the C sector, has shown its value - 34.64 units degradation risk and should be considered a priority in relation to the achievement of conservation actions

Eosinófilos e proteína catiônica eosinofílica na urina: uma nova abordagem para o diagnóstico da inflamação renal no lúpus eritematoso sistêmico

Universidade Estadual do Rio Grande do Norte

Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

Diagnóstico Ambiental do Processo de Desertificação no município de Lajes/RN.

Ocupando uma área de 665,7km2 (equivalente a 1,25% da superfície estadual), o Município de Lajes até o início do século XX era um pequeno distrito do Município de Jardim de Angicos, localizada na Região Central do Estado do Rio Grande do Norte. Quando decretado município, em 1914, Lajes tornou-se o principal entreposto comercial do estado, uma vez que sua posição geográfica a colocava como rota principal entre os municípios produtores de mercadorias e a capital do estado, Natal, situada a 125km a Leste do município. Esta confortável posição de entreposto comercial cristalizou-se com a construção da estrada de ferro Sampaio Correia, em 1919, que agilizou o escoamento das mercadorias advindas do interior com Natal, principalmente o algodão, que até a década de 1980 era a principal fonte econômica do Estado do Rio Grande do Norte. Com a crise do algodão e a construção de estradas ligando diretamente os mercados produtores com a capital, Lajes perde a condição de principal entreposto comercial do estado, e sua economia entra em decadência. Vastas áreas de caatinga onde outrora se plantava algodão foram abandonadas, deixando os solos destas terras livres para a ação erosiva dos ventos e das torrenciais chuvas de outono. Situada numa porção do estado que sofre direto sombreamento das escarpas da Serra do Feiticeiro, o município de Lajes tem se configurado como um importante laboratório para o estudo da desertificação no Estado do Rio Grande do Norte. A partir de uma análise Geossistêmica, procurou-se diagnosticar o atual quadro da desertificação nesta porção semi-árida do estado. Para tanto, utilizou-se os métodos quantitativos de análise, dentre eles os métodos desenvolvidos durante a elaboração do Pan Brasil, com a construção dos Balanços Hídricos e Índices de Aridez do município. Os dados referentes aos índices de aridez de Lajes apontam para um profundo processo de ressecamento do ar na região, corroborando inclusive com os dados referentes ao aquecimento global divulgados pelo IPCC (Intergovernamental Panel on Climate Change) no mês de fevereiro de 2007