Modelagem da confiabilidade dos sistemas de abastecimento de água no atendimento da demanda humana na bacia hidrográfica do rio Seridó
Brazil has one of the largest reserves of fresh water in the world, but there are regions with water scarcity, as is the case in the semi-arid region of the Brazilian Northeast. In this sense, in order to contribute to an adequate management of water resources, it is essential to carry out a diagnos...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio Grande do Norte (UFRN) |
| Repositorio: | Repositório Institucional da UFRN |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufrn.br:123456789/23699 |
| Acceso en línea: | https://repositorio.ufrn.br/jspui/handle/123456789/23699 |
| Access Level: | acceso abierto |
| Palabra clave: | Modelos hidrológicos Disponibilidade hídrica Bacias hidrográficas Rio Seridó (RN) CNPQ::ENGENHARIAS::ENGENHARIA SANITARIA |
| Sumario: | Brazil has one of the largest reserves of fresh water in the world, but there are regions with water scarcity, as is the case in the semi-arid region of the Brazilian Northeast. In this sense, in order to contribute to an adequate management of water resources, it is essential to carry out a diagnosis of the region to analyze the adequacy between water availability and demand. The objective of this work is to develop a model of the reliability of water supply systems to meet human demands in the Seridó River Basin and to classify municipalities according to the water balance between water availability and demand. For the development of the model two methodologies were used, the multiple linear regression via Stepwise and the regression by principal components for the choice of the variables of the second model. We conclude that the model developed by the first methodology was the most representative for the Seridó River Basin. With the water balance between demand and availability, it was verified that more than 50% of the municipalities present this variable above the unit value. In this way, it becomes evident the need to collect information to plan actions that change this reality, based on the ranking of cities as a function of variables (s) that characterize municipalities in function of the quality of the systems of Water supply to meet their urban demands |
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