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This study explores ERT survey optimization techniques for monitoring dynamic subsurface processes. Building on well established Optimized Experimental Design (OED) algorithms, we propose a model-driven design that focuses the measurement on those regions of the model space that are affected by the underlying transport process at a specific time step. The approach incorporates a time-dependent focusing mask and accounts for parameter uncertainty by incorporating a variety of hydraulic parameter distributions into the focusing process. We further introduce a hybrid OED strategy that effectively reduces simulation uncertainties by including the already acquired data of past monitoring steps into the evaluation process.