Computational aspects in use of entropy theory in predicting water quality levels at discontinued stations |
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| Authors: | A Kusmulyono I Goulter |
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| Institution: | (1) University of Central Queensland, 4702 Rockhampton, Queensland, Australia |
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| Abstract: | The computational aspects of using a new, entropy-based, theory to predict water quality values at discontinued water quality monitoring stations are discussed. The main computational issues addressed are the level of discretization used in converting the continuous probability distribution of water quality values to the discrete levels required for the entropy function, and the choice of the interval of time for which to assign the value of the water quality (period of time averaging) through the entropy function. Unlike most cases of entropy applications involving discretization of continuous functions the results of using entropy theory to predict water quality values at discontinued monitoring stations in this application appear to be insensitive to the choice of the level of discretization even down to the very coarse level discretization associated with only eight intervals. However, depending on the length of record available the choice of the time interval for which the water quality values are assigned (period for time averaging) appear to have a significant impact on the accuracy of the results. |
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| Keywords: | Computation discretization entropy networks time averaging water quality |
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