Design of Sampling Networks for Water Table Monitoringby Donald E. Myers, Univ of Arizona, United States,
Abstract: In the application to the monitoring of water tables the presence of temporal and spatial dependence is of crucial importance. Often the network will be used to collect data to estimate or predict the value at an unsampled location where 'value' may refer to a very local spatial average, a temporal average, a regional average or even a statistical average. In contrast the objective in designing the network is to maximize the information gained from the network or alternatively to minimize the uncertainty, in some sense, associated with the estimation/prediction process. There are a number of essential steps in the design of such a network, previous literature is reviewed in the context of these steps and a comparison is made of the pertinence of the methods used along with an appraisal of the computing requirements model assumptions and sensitivity of the selection process to the addition of new information.
Subject Headings: Water table | Water sampling | Information management | Hydrologic models | Data collection | Spatial data | Uncertainty principles
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