Comportamento sócio-espacial de pessoas em movimento :um estudo exploratório no calçadão da Avenida Engenheiro Roberto Freire

People-environment interaction, focus of Environmental Psychology studies, presupposes that space influences behavior and vice-versa. Despite of the importance of dynamic reciprocity, there are a few works that treat the mobility condition of the people experimenting space. The present study investigates environmental perception of users of the Engenheiro Roberto Freire Avenue sidewalk, one of the few places in Natal for physical activities practicing, where most people are in intense and continuous movement. A few questions for this study where made: In what way does the individual realize the environment while he is moving? How do reciprocal man-environment relations occur there, according to a mobility context? What are the main difficulties and easiness in man-environment interaction under this condition? The search for these answers is based on concepts of social-spatial human behavior - especially personal space, territoriality, density and crowding and contributions of Barker´s Ecologycal Psychology. Considering that the physical space in this case is multifaceted and the perception of theses scenarios is governed by multiples senses and stimuli, it was defined a multi-methodological route: (i) observation participative in loco; (ii) identification of the main behavior settings at the area; (iii) categorization of the activities occurring at the place; (iv) application of a semi-structured interview; (v) images registered and (vi) construction of the researcher s log. The perception of oneself and others in movement in the environment, immersed in a intricate web of inter-actions, makes people develop mobility strategies, many times unconsciously, with the aim of ensuring satisfaction in its activities. Since the Eng. Roberto Freire Avenue sidewalk is an equipment public-urban largely used by the population of Natal, the reflection of the mobility effectiveness in the users environmental perception is expected, providing suggestions for future studies in this field of knowledge

Um estudo sobre a variabilidade do vento no nordeste do Brasil através de métodos estatísticos e via modelos dinâmicos de meso e micro escala

The objective of this study was to determine the seasonal and interannual variability and calculate the trends of wind speed in NEB and then validate the mesoscale numerical model for after engage with the microscale numerical model in order to get the wind resource at some locations in the NEB. For this we use two data sets of wind speed (weather stations and anemometric towers) and two dynamic models; one of mesoscale and another of microscale. We use statistical tools to evaluate and validate the data obtained. The simulations of the dynamic mesoscale model were made using data assimilation methods (Newtonian Relaxation and Kalman filter). The main results show: (i) Five homogeneous groups of wind speed in the NEB with higher values in winter and spring and with lower in summer and fall; (ii) The interannual variability of the wind speed in some groups stood out with higher values; (iii) The large-scale circulation modified by the El Niño and La Niña intensified wind speed for the groups with higher values; (iv) The trend analysis showed more significant negative values for G3, G4 and G5 in all seasons and in the annual average; (v) The performance of dynamic mesoscale model showed smaller errors in the locations Paracuru and São João and major errors were observed in Triunfo; (vi) Application of the Kalman filter significantly reduce the systematic errors shown in the simulations of the dynamic mesoscale model; (vii) The wind resource indicate that Paracuru and Triunfo are favorable areas for the generation of energy, and the coupling technique after validation showed better results for Paracuru. We conclude that the objective was achieved, making it possible to identify trends in homogeneous groups of wind behavior, and to evaluate the quality of both simulations with the dynamic model of mesoscale and microscale to answer questions as necessary before planning research projects in Wind-Energy area in the NEB