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hydric Properties Evolution of <i>Spirulina platensis</i>during Drying: Experimental Analysis and Modeling

Food and Nutrition Sciences 2019年第6期10卷 561-577页

作者： Eloi Salmwendé Tiendrebeogo Guy Christian Tubreoumya A. O. Dissa A. Compaoré Jean Koulidiati F. Cherblanc J.-C. Bénet I. Youm Laboratoire de Physique et de Chimie de L’environnement (LPCE) Université Ouaga 1 Pr Joseph Ki-Zerbo Ouagadougou Burkina Faso Laboratoire de Mécanique et Génie Civil (LMGC) CNRS Université de Montpellier 2 Montpellier France Centre de Recherche sur les Energies Renouvelables (CERER) Université Cheick Anta Diop Dakar Sénégal

hydric properties evolution during drying differs from one product to another and has been the subject of various studies due to its crucial importance in modeling the drying process. The variation of these parameters in the solid matrix and in time during the drying of Spirulina platensis has not known an advanced understanding. The objective of this study was to evaluate the evolution of the water content profile, the mass flow, the concentration gradient and the diffusion coefficient during the drying of Spirulina platensis taking into account the shrinkage. Modeling and experimental analysis (at 50°C and HR = 6%) by the cutting method a cylinder 20 mm in diameter and 40 mm thick were carried. The water content profiles of two different products grown in semi-industrial farms from Burkina Faso and France with initial water contents respectively of the range from 2.73 kgw/kgdb and 3.12 kgw/kgdb were determined. These profiles have been adjusted by a polynomial function. Identical water behavior is observed regardless of the origin of the samples. Water distribution is heterogeneous. Mass flow and concentration gradient are greater at the edge than inside the product. The water transport coefficient, ranging from 1.70 × 10?10 to 94 × 10?10 m2/s, is determined from a linear approach.

关键词： Drying Experiment Modeling Spirulina platensis hydric Property

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Spatial Analysis of Affected Areas by Extreme Hydrological Events in Rio de Janeiro (The Host City for the 2016 Olympic Games)—Brazil

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Journal of Geographic Information System 2013年第4期5卷 337-346页

作者： Leandro Andrei Beser de Deus Camilla Silva Motta Santos Patricia Gomes da Silveira Marcos Aurélio Vasconcelos Freitas Paulo Márcio Leal Menezes Federal Rural University of Rio de Janeiro Rio de Janeiro Brazil

The most frequent types of disasters in Brazil are associated with extreme hydrological events. Adding to this situation, in Brazil, there are the extreme sociospatial discrepancies that are historically constructed. They leave marks in space, making specific areas, for political interest or not, more vulnerable to the different mentioned processes. To this extent, the public management should plan actions and, also, it may act in a more holistic way adding new trends, such as, the use of geotechnologies that are applied to environmental management in the realm of urban planning. From a case study in the city of Rio de Janeiro, this paper aims to contribute and draw attention to such issues. It may reach its target through pointing and spatially analyzing which areas are in the most critical situation related to the occurrence of extreme hydrological events. To achieve this goal, it was proposed a methodology to inventory the occurrence of inundation/flooding for a certain period, in this case 2001-2008. Besides, the methodology could systematize data and integrate them with other important issues for supporting the process of identification and analysis of the most critical areas. Historical aspects of occupation and the most vulnerable socio-environmental aspects were raised, too, in order to validate the highlighted areas. This integration was enabled concerning the support of geoprocessing techniques. The results of this integration subsidized the mapping and spatial analysis of the affected areas in the city and the criticality in relation to the extreme hydrological events. Finally, it was possible to observe that the identification of the most critical affected areas does not mean the exhaustion of the subject. The location of these areas is directly linked to the sample that was used as the basis for analyses. This data set only represents recorded events by the Municipal Civil Defense respecting the studied time frame. However, the results permit to take no

关键词： Extreme Events Flood Hazards GIS hydric Resources Spatial Analysis

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