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Nonlinear Correlation Model in the Assessment of Screen Printing Indoor Pollution

DOI: 10.5923/j.ajee.20120202.06

Keywords: Regression models, Ozone, Monitoring, Screen printing, Indoor pollution

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Abstract:

The correlation models were applied to assess the mutual dependencies of the ozone concentrations on the sampling time and sampling points as an extension of our previous investigations. There is no significant mutual dependence, but there are some observable linear and non-linear correlations with sampling time. Correlation of ozone concentration on sampling time is linear at two sampling points (6 and 5) and is expressed by equation: y = - 0.0171x + 0.1329 for sampling point 6. At the other sampling points (1 and 3) nonlinear correlations are expressed by third degree polynomials, y = 0.0061x3 – 0.0934x2 + 0.4335x + 0.0967 (sampling point 1), y = 0.0035x3 – 0.0520x2 + 0.2182x + 0.9887 (sampling point 3). All calculations have been done in the program MATHEMATICA, version 7.0, at 4 correct decimals. Nonlinear correlation model can be successfully used in the assessment of indoor polluted gases distribution in screen printing facility.

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