SPATIAL DISTRIBUTION OF TREATED RESIDENTIAL WATER CONSUMPTION IN UBERLÂNDIA-MG CITY: STUDY OF CASES FOR THE MONTHS OF 2015 YEAR.
Water is a natural resource responsible for the origin of life and your support on our Earth planet. It’s fundamental considered for the economic activities exercise such as agriculture and industry, also doing crucial importance of population life quality, especially, in what it mentions to water s...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Universidade Federal de Uberlândia (UFU) |
| Repositorio: | Caminhos de Geografia |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.seer.ufu.br:article/50004 |
| Acceso en línea: | https://seer.ufu.br/index.php/caminhosdegeografia/article/view/50004 |
| Access Level: | acceso abierto |
| Palabra clave: | Água tratada Dependência espacial Semivariograma Geoestatística Treated water Spatial dependence semivariogram Geostatistics |
| Sumario: | Water is a natural resource responsible for the origin of life and your support on our Earth planet. It’s fundamental considered for the economic activities exercise such as agriculture and industry, also doing crucial importance of population life quality, especially, in what it mentions to water supply and the sewer treatment and collection, which has strong impact over the public health. So for a better control of this resource, is necessary a bigger spatial understanding and temporal of consuming. In this way, the objective of this article was study spatial behavior of the daily middle consumption of potable water in Uberlândia- MG city, along the months, for the 2015 year. The spatial dependence analysis was made through semivariogram, which were used in the interpolation by kriging and consumption mapping of residential water. The results allowed to conclude that the variable studied, shows spatial dependence; the model which fits better to the data belongs to Gaussiana family, with an average level of dependence; in relation of spatial distribution, it is observed predominance of bigger residential water consumption in the central area of the representative figure from the study area. |
|---|