26 resultados para Blooms


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Algae bloom is one of the major consequences of the eutrophication of aquatic systems, including algae capable of producing toxic substances. Among these are several species of cyanobacteria, also known as blue-green algae, that have the capacity to adapt themselves to changes in the water column. Thus, the horizontal distribution of cyanobacteria harmful algae blooms (CHABs) is essential, not only to the environment, but also for public health. The use of remote sensing techniques for mapping CHABs has been explored by means of bio-optical modeling of phycocyanin (PC), a unique inland waters cyanobacteria pigment. However, due to the small number of sensors with a spectral band of the PC absorption feature, it is difficult to develop semi-analytical models. This study evaluated the use of an empirical model to identify CHABs using TM and ETM+ sensors aboard Landsat 5 and 7 satellites. Five images were acquired for applying the model. Besides the images, data was also collected in the Guarapiranga Reservoir, in São Paulo Metropolitan Region, regarding the cyanobacteria cell count (cells/mL), which was used as an indicator of CHABs biomass. When model values were analyzed excluding calibration factors for temperate lakes, they showed a medium correlation (R²=0.81, p=0.036), while when the factors were included the model showed a high correlation (R²=0.96, p=0.003) to the cyanobacteria cell count. The empirical model analyzed proved useful as an important tool for policy makers, since it provided information regarding the horizontal distribution of CHABs which could not be acquired from traditional monitoring techniques.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The present study sought to develop a methodology to analyze the water quality based on concepts and methods of climate and climatology respectively. In this way, it was tried to relate techniques and methodologies hydro and limno-meteorological with a rhythmic analysis technique developed within the Brazilian geographical climatology to assess and analyze the blooms of cyanobacteria, the main index of water quality found in reservoirs of “Alto Tietê” Basin and consequently the Metropolitan Region of São Paulo, an area of high environmental complexity due to its high degree of development and high population density. The meteorological data used to develop the study were collected from the meteorological station of the IAG / USP and the limnological data were collected from the Hydrological Monitoring System implemented by SABESP in Billings and Guarapiranga reservoirs as well as data laboratory of the same entity. The results obtained by the rhythmic and integrated analyze showed that the process of blooms of cyanobacteria is dependent not only on one specific factor, but a combination of meteorological factors that may disrupt the stability of reservoir and which can, during the stabilization process, provides the necessary conditions to the development of cyanobacteria. It was also shown by the results that the pace of Atlantic Polar Front Entrance during the winter in São Paulo, is a limiting factor to the growth of cyanobacteria due to their high frequency, keeping the reservoir balance throughout the period. Furthermore, another importance of this study is the possibility of prevention and forecasting periods which are inappropriate for the use of these reservoirs mainly for recreational activities

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Blooms of phytoplankton can be a risk to human health and aquatic biota, so the adoption of monitoring methods of phytoplankton and mechanisms for preventing its occurrence are needed. Thus, traditional monitoring methods could be more effective if complemented by approaches using the optical properties of phytoplankton pigments by means of Remote Sensing. In order to evaluate the potential of multi-scale remote sensing for detection of the phytoplankton activity, a study area was selected in Nova Avanhandava reservoir, located in the Tiete River, SP. For this analysis, hyperspectral field data and multispectral images of low and medium spatial resolution (Modis and RapidEye) were acquired and were related to indicator limnological variables of phytoplankton behavior; chlorophyll a and phycocyanin. The results show that a specific spectral band of RapidEye system (690-730 nm) allowed detect chlorophyll a and to evaluate the phytoplankton biomass, however hyperspectral data are needed to detect the phycocyanin pigment, indicative of cyanobacteria.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Agronomia (Proteção de Plantas) - FCA