| Summary: | Assessment of river rehabilitation and restoration projects, as well as the monitoring of morphological changes in rivers requires collection of hydromorphological
parameter data (i.e. depth, velocity and substrate). Field data collection is highly time and cost consuming and thus, effective and efficient monitoring programmes need to
be designed. Interpolation techniques are often used to predict values of the variables
under study at non measured locations. In this way, it is not necessary to collect
detailed data sets of information. The accuracy of these predictions depends upon (i)the method used for the interpolation and/or extrapolation procedure and (ii) the
sampling strategy applied for the collection of data. Even though the design of
effective sampling strategies are of crucial importance when applying interpolation
techniques, little work has been developed to determine the most effective way to
collect hydromorphological data for this purpose.
This project aimed to define a set of guidelines for effective and efficient
hydromorphological data collection in rivers and relate this to the type of river site
that is being sampled and to the objective for which the data are being collected. The
project is structured in three main sections: spatial problem, the scaling problem and the temporal problem. Spatial problem refers to the location and number of points that need to be collected. Scaling problems focus on the study of the river length that needs to be sampled to characterise the spatial variability of a river site, whilst temporal problems determine how often a river site needs to be sampled to characterise the temporal variability associated with changes in discharge. Intensive depth data sets have been collected at a total of 20 river sites. These data sets have been used to investigate the spatial, temporal and scaling problems through geostatistical theory.
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