Abstract
This communication deals with the needs for improving the general knowledge in hydrological sciences. In particular a special effort is devoted to define the concept of “entropy” as function of the knowledge, and to derive some simple reference ideas in order to analyze the general problem of the hydrological knowledge.
First, the general problem of space and time resolution in hydrological data is introduced, starting from known problems and their related budget of data, then introducing new technological improvements and the consequent change in terms of frequency and volume of data.
By means of the known images of time and space variance for hydro-meteorological phenomena, a few examples of the possible optimum sampling is described, but the basic goals of economy and efficiency are declared as fundamental tools for the abatement of the knowledge entropy.
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© 1992 Springer Science+Business Media Dordrecht
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Becchi, I. (1992). Limits in Space-Time Knowledge of Hydrological Data. In: Singh, V.P., Fiorentino, M. (eds) Entropy and Energy Dissipation in Water Resources. Water Science and Technology Library, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2430-0_5
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DOI: https://doi.org/10.1007/978-94-011-2430-0_5
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