A real-time groundwater management model using data assimilation

We apply the proposed management model to the Aquifer Storage and Recovery (ASR) Project of the Las Posas Groundwater Basin in southern California. The adapted nudging algorithm is used to estimate the missing pumping rates of private wells. We then use the estimated pumping rates in a real-time groundwater management model to improve management decisions of the ASR well fields.