Sampling strategies based on sets of behavioural parameters. Application to a simple pesticide fate model |
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| Authors: | Thierry Leviandier Stéphanie Madier Sylvain Payraudeau |
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| Institution: | (1) ENGEES, 1 quai Koch, BP 1039, 67070 Strasbourg Cedex, France;(2) Laboratory of Hydrology and Geochemistry (LHYGES), University of Strasbourg, ENGEES, CNRS, 1 rue Blessig, 67070 Strasbourg, France |
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| Abstract: | Sampling strategies are necessary to minimise the cost of data acquisition. We consider the case when several samples must
be analysed at the same time, knowing rainfall data, optionally discharge data. We assume also that a rainfall-runoff and
pesticide transfer model is available. Three methods are presented based on behavioural sets calculated on prior events, which
provide optimal sampling times with respect to different statistical criteria, for a fixed number of samples. A methodology
to compare these strategies, adapted to a context of data scarcity is proposed for proper validation. We consider that the
combination of a model and a strategy is efficient if it does better than a strategy without a model based on equal volumes.
Even with a simple and relatively poor model, it can be concluded that the different strategies are efficient and show similar
efficiency in spite of their different levels of conceptual and algorithmic complexity. |
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