Abstract
In the paper a method is suggested for a simultaneous estimation of parameters in some differential equations, describing the variation of oxygen in a small creek, and the parameter in a low pass filtering of the solar radiation input. The low pass filtering is obtained by using a simple first order filter.
The oxygen dynamics are modelled by using linear and non-linear stochastic differential equations. The modelling involves a description of the influence from variations in water temperature and solar radiation. The latter affects the oxygen level via the photo synthesis process.
It is shown that the simultaneous low pass filtering of the solar radiation data provides more precise estimates. The low pass filter compensates for the fact that the solar radiation is a high frequency signal and a point measurement, which probably is measured some distance away from the main body of the river. The estimated filter enables an on-line monitoring of water quality. Thus, immediate assessment of receiving waters, as well as of data quality, is possible.
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© 1997 B. G. Teubner Stuttgart
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Jacobsen, J.L., Madsen, H., Harremoës, P. (1997). Estimation of a low pass filter for solar radiation data. In: Brøns, M., Bendsøe, M.P., Sørensen, M.P. (eds) Progress in Industrial Mathematics at ECMI 96. European Consortium for Mathematics in Industry, vol 9. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-96688-9_4
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DOI: https://doi.org/10.1007/978-3-322-96688-9_4
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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Online ISBN: 978-3-322-96688-9
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