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SGMA Project Management and Development of a GSP

            Client:           BWD and County of San Diego
            Dates:            2013–Present
            Key Dudek Staff:   Peter Quinlan, Trey Driscoll (Project Manager), Jill Weinberger, Steven Stuart, Daniel
                              Ritter, Hugh McManus, Dylan Duvergé, Kyle Harper
            Reference:        Geoff Poole, BWD General Manager, 760.767.5806, geoff@borregowd.org

            Dudek is managing the development of
            a GSP for the critically overdrafted
            Borrego Valley Groundwater Basin for
            the BWD and the County of San Diego.
            Dudek has prepared cost estimates for
            the GSP; technical analysis of the
            existing BWD and County Demand Offset
            Water Credit Policy; scientific and
            jurisdictional analysis of the basin
            boundaries to support application for a
            Bulletin 118 BBM; water replacement
            cost analysis; and analysis on managing
            proportional groundwater production
            cutbacks through a water market
            approach. Dudek is also currently
            building a custom data management
            platform to support the Borrego GSP and
            providing on-call grant application preparation services and support for various projects through
            numerous chapters of Proposition 1 for the district.

            Dudek has worked collaboratively with USGS in modifying the Borrego Valley Hydrologic Model, a
            finite-difference groundwater flow numerical model developed by USGS using the MODFLOW-
            OWHM code, to extend the simulation period from 2010 to 2016. Dudek updated the numerical
            model by incorporating known and estimated pumping at wells in the basin up to the end of 2016.
            The model was validated by simulating conditions from 2010 to 2016 and comparing the simulated
            results to observed water level data collected from 2010 to 2016. Model validation is a measure of
            the uncertainty in model predictions. Improvements in model accuracy may be made after
            identifying the model parameters that result in the greatest uncertainty and implementing future
            investigations and data collection to reduce the uncertainty. Dudek identified three conditions, or
            parameters, that contributed most to uncertainty: estimated pumping in lieu of actual metered
            pumping, aquifer storage, and recharge from infiltrating stream flow. Additional information on
            pumping, storage and recharge will be collected over the next 5-year period to reduce uncertainty
            and generate more accurate simulations.
















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