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| Wrublack,Suzana C.; Mercante,Erivelto; Boas,Marcio A. Vilas; Prudente,Victor H. R.; Silva,Jefferson L. G.. |
| ABSTRACT This study demonstrates using remote sensing, geographic information systems and multivariate statistics to study water quality in an agricultural watershed. The monitoring of water quality in the watershed of Lontras's river in the southwestern region of the State of Paraná had been done in 2012 and 2013 with a multi-parameter probe in ten sites that were defined upstream and downstream watershed, during four different seasons. Mosaicked images were used from Google Earth, Digital Elevation Model and soil types of maps, defined as the explanatory variables. The definition of the areas of influence and multivariate statistical techniques, particularly the Redundancy Analysis (RDA), were used for the correlation between variables. In a spring area,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geoprocessing; Mapping land use and occupation; Water quality. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000100074 |
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| Conceição,Ketllin Z. da; Boas,Marcio A. Vilas; Sampaio,Silvio C.; Remor,Marcelo B.; Bonaparte,Danilo I.. |
| ABSTRACT Analyzing the physical-chemical and biological characteristics allows the evaluation of the water quality of a water body. Thus, the objective of this study was to determine the water quality index of the Passaúna and Piraquara rivers, as well as to apply statistical quality control methodologies to evaluate the data resulting from the monitoring of water quality. Therefore, a database with physico-chemical and microbiological parameters of the Passaúna and Piraquara rivers, a watershed of the Iguaçu River, belonging to the cities of Araucária and Piraquara, respectively Paraná, Brazil, was used to carry out the research. The water quality index was determined with the time series and, subsequently, these data were submitted to the statistical... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Water quality index; Control charts; Capacity of the process. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000600951 |
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