Abstract
Eutrophication of lakes and reservoirs has developed rapidly during the last two decades due to the increased urbanization and discharge of nutrients per capita. In order to model the eutrophication process, dynamic, bio-geochemical entrophication models have been proposed.
This paper shows some of the possible contributions of Geostatistics to eutrophication modelling.
A method for forecasting changes in time of state variables of the eutrophication process, based on disjunctive cokriging is presented.
In order to test the geostatistical model, a well described case study was selected, the Glumsd lake.
Short and medium term estimations of two main state variables of the process are presented together with an estimation of the mean “probability” of exceeding a threshold value in a certain time domain. Both estimations are checked against real values.
The preliminary results obtained in this study, although being restrictive, open encouragingly the new field of ecology and environmental management to the application of Geostatistics.
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© 1989 Springer Science+Business Media Dordrecht
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Muge, F.H., Cabeçadas, G. (1989). A Geostatistical Approach to Eutrophication Modelling. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_34
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DOI: https://doi.org/10.1007/978-94-015-6844-9_34
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