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Gonçalves,Luana M.; Ferraz,Gabriel A. e S.; Oliveira,Marcelo S. de; Barbosa,Brenon D. S.; Silva,Carlos J. da; Ferraz,Patrícia F. P.. |
ABSTRACT Noise is one of the harmful and stressful physical agents present in the workplace. Research performed with geostatistics to adjust the semivariogram of tractor noise were performed using the Gaussian and spherical model. In this way, the aim was to map the spatial variability of the noise emitted by a power tiller through the sine wave model, besides testing other fitting methods, in order to identify health zones for the workers. The experiment was performed with an agricultural power tiller (10.3 kW) placed in a working regime (1500 rpm), coupled to a brushcutter, and a digital sound level meter to collect noises in points distributed along a regular grid sampling of 2.0 × 2.0 m around the tractor. The spatial dependence of noise was analyzed... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Acoustic comfort; Agricultural mechanization; Spatial variability; Ergonomics; Sine wave model. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000300223 |
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Yanagi Junior,Tadayuki; Schiassi,Leonardo; Rossoni,Diogo F.; Ponciano,Patrícia F.; Lima,Renato R. de. |
The knowledge of the spatial variability of noise levels and the build of kriging maps can help the evaluation of the salubrity of environments occupied by agricultural workers. Therefore, the objective of this research was to characterize the spatial variability of the noise level generated by four agricultural machines, using geostatistics, and to verify if the values are within the limits of human comfort. The evaluated machines were: harvester, chainsaw, brushcutter and tractor. The data were collected at the height of the operator's ear and at different distances. Through the results, it was possible to verify that the use of geostatistics, by kriging technique, made it possible to define areas with different levels for the data collected. With... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Human environment; Acoustic comfort; Occupation health; Geostatistics. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000200002 |
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