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The aim of this study was, through the application of geostatistics, to analyze the spatial distribution of turbidity and free residual chlorine levels in drinking water distributed to the population, in order to help manage water quality control. Bibliographic research was carried out. This was followed by sampling planning, sample collection and testing, data storage and geostatistical analysis. The variographic models for interpolating the attributes were evaluated. The data indicated that the exponential model best met the criteria evaluated, so this was the model used for interpolation…mehr

Produktbeschreibung
The aim of this study was, through the application of geostatistics, to analyze the spatial distribution of turbidity and free residual chlorine levels in drinking water distributed to the population, in order to help manage water quality control. Bibliographic research was carried out. This was followed by sampling planning, sample collection and testing, data storage and geostatistical analysis. The variographic models for interpolating the attributes were evaluated. The data indicated that the exponential model best met the criteria evaluated, so this was the model used for interpolation and representation on thematic maps. In the thematic map of turbidity content, anomalous point values were observed, while in the evaluation of free residual chlorine content, there was a tendency for the content to gradually decrease. There was also greater variability in the estimate when the distance between the sampling points was greater. The results showed that geostatistics can help in the management of water quality control in the distribution network. Further studies have been suggested using the geoprocessing technique.
Autorenporträt
Químico por la Universidad de Ibirapuera e Ingeniero Agrónomo por la Facultad de Cantareira. Especialización en Ingeniería de Saneamiento Básico por la Escuela de Salud Pública de la USP. Perfeccionamiento en temas de Estadística en el Instituto de Matemática y Estadística de la USP. Postgrado en Geoprocesamiento por el SENAC - SP.