19 resultados para smaltimento reflui on-site sanitation madagascar
Resumo:
This study has the main objective to analyze the role of the bodies of state and local governance of tourism, aimed at tourism development process in the city of Manaus / AM , by the public practices of planning, management and development activity in the respective municipality . To the specific objectives were established four aims: 1) To characterize the process of formation of governance entities active in tourism in the city of Manaus. 2) Lift the actions planned and executed by the authorities aimed at cultural tourism in the period 2003-2014. 3) To question through the perception of the actors representing the different classes and entities of the Amazonian society, the actions planned and executed by the authorities aimed at cultural tourism in the period 2003-2014 and 4) Identify key similarities and the differences in decision-making about actions aimed at cultural tourism in Manaus. We adopted a qualitative approach, using the methodological design of descriptive and exploratory, with the help of the use of the techniques of literature search, document, with on-site data collection through interviews with semi-structured script application forms to the representatives of sectorial institutions that make up the locations of governance in tourism. In addition, the treatment of information was used content analysis technique. In response to stated objectives, it can be concluded that the creation of public arenas, through the tourism of governance has enabled incipient discussion in a democratic manner and decision-making in the area of planning and management of tourism in Manaus. It was also observed that obstacles that hinder and undermine the structures of the bodies, which reflect the joint, in the promotion and cultural tourism development in the city of Manaus.
Resumo:
Environmental Sustainability is a very important factor for the Tourist Development of the localities, which should be protected and preserved so many other generations goers enjoy the experiences in their paradisiacal landscapes. The objective of the present study is to analyze the sustainability of the tourist destination of Jenipabu Beach, situated in a conservation area on the northern coast of Rio Grande do Norte state, in the city of Extremoz, 20 km from the center of the Capital Natal, being of great state tourist importance for having the most famous Dunes park in the region. There are several regulars and their proper groups in a tourist area, and the differences in these perceptions about the relationship of certain factors occurring on site, can determine how sustainable the same or its sustainability index is. This research used an Ecotourism Sustainability Indicator System (SEIS) to Tsaur, et al (2006), to assist in the verification of this index, in use methods of exploratory and descriptive research, where the data were collected through a questionnaire applied close to 151 attendees divided among residents, traders and visitors, directly by the author in Jenipabu in August and September 2015. The tabulation, analysis and interpretation of data were taken from the assistance of the technical factor analysis of statistics and ONEWAY ANOVA, which conducted by IBM SPSS software STATISTICS 20. The main findings were, identifying 14 relevant sustainability factors, of which 6 coincide with the indicator model used and 8 are new, as well as verification that Jenipabu is a destination with strong economic dependence of the Tourism, with various impacts of this community, which does not recognize the benefits that the Environmental Protection Area (APA) can bring to this and to the locality tourism. In conclusion on differences in perceptions of the regulars that the studied region Beach has low Sustainability and requires the development of various projects and actions for improvement.
Resumo:
The Noise Pollution causes degradation in the quality of the environment and presents itself as one of the most common environmental problems in the big cities. An Urban environment present scenario and their complex acoustic study need to consider the contribution of various noise sources. Accordingly to computational models through mapping and prediction of acoustic scene become important, because they enable the realization of calculations, analyzes and reports, allowing the interpretation of satisfactory results. The study neighborhood is the neighborhood of Lagoa Nova, a central area of the city of Natal, which will undergo major changes in urban space due to urban mobility projects planned for the area around the stadium and the consequent changes of urban form and traffic. Thus, this study aims to evaluate the noise impact caused by road and morphological changes around the stadium Arena das Dunas in the neighborhood of Lagoa Nova, through on-site measurements and mapping using the computational model SoundPLAN year 2012 and the scenario evolution acoustic for the year 2017. For this analysis was the construction of the first acoustic mapping based on current diagnostic acoustic neighborhood, physical mapping, classified vehicle count and measurement of sound pressure level, and to build the prediction of noise were observed for the area study the modifications provided for traffic, urban form and mobility work. In this study, it is concluded that the sound pressure levels of the year in 2012 and 2017 extrapolate current legislation. For the prediction of noise were numerous changes in the acoustic scene, in which the works of urban mobility provided will improve traffic flow, thus reduce the sound pressure level where interventions are expected
Resumo:
This Thesis presents the elaboration of a methodological propose for the development of an intelligent system, able to automatically achieve the effective porosity, in sedimentary layers, from a data bank built with information from the Ground Penetrating Radar GPR. The intelligent system was built to model the relation between the porosity (response variable) and the electromagnetic attribute from the GPR (explicative variables). Using it, the porosity was estimated using the artificial neural network (Multilayer Perceptron MLP) and the multiple linear regression. The data from the response variable and from the explicative variables were achieved in laboratory and in GPR surveys outlined in controlled sites, on site and in laboratory. The proposed intelligent system has the capacity of estimating the porosity from any available data bank, which has the same variables used in this Thesis. The architecture of the neural network used can be modified according to the existing necessity, adapting to the available data bank. The use of the multiple linear regression model allowed the identification and quantification of the influence (level of effect) from each explicative variable in the estimation of the porosity. The proposed methodology can revolutionize the use of the GPR, not only for the imaging of the sedimentary geometry and faces, but mainly for the automatically achievement of the porosity one of the most important parameters for the characterization of reservoir rocks (from petroleum or water)