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Better Optimization of Long-Term Monitoring Networks

ABSTRACT Optimization of long-term monitoring (LTM) networks has changed from a focus on adding information and data, in order to better characterize groundwater plumes, to an emphasis on identifying and removing statistical redundancy, so as to minimize long-term costs. An optimal system is defined as one with a minor loss of information, but a large gain in cost savings. Better optimization strategies offer improvements in 1) measuring both costs and the accuracy of baseline estimates, 2) choosing optimal subsets of the existing data, and 3) flexibility and adaptability of the optimization scheme. Examples of such improvements are shown using the Geostatistical Temporal-Spatial algorithm (GTS).