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Adjoint Simulation of Stream Depletion Due to Aquifer Pumping

Authors

  • Roseanna M. Neupauer,

    Corresponding author
      Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, CO 80309; neupauer@colorado.edu
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  • Scott A. Griebling

    1. Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, CO 80309.
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Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, CO 80309; neupauer@colorado.edu

Abstract

If an aquifer is hydraulically connected to an adjacent stream, a pumping well operating in the aquifer will draw some water from aquifer storage and some water from the stream, causing stream depletion. Several analytical, semi-analytical, and numerical approaches have been developed to estimate stream depletion due to pumping. These approaches are effective if the well location is known. If a new well is to be installed, it may be desirable to install the well at a location where stream depletion is minimal. If several possible locations are considered for the location of a new well, stream depletion would have to be estimated for all possible well locations, which can be computationally inefficient. The adjoint approach for estimating stream depletion is a more efficient alternative because with one simulation of the adjoint model, stream depletion can be estimated for pumping at a well at any location. We derive the adjoint equations for a coupled system with a confined aquifer, an overlying unconfined aquifer, and a river that is hydraulically connected to the unconfined aquifer. We assume that the stage in the river is known, and is independent of the stream depletion, consistent with the assumptions of the MODFLOW river package. We describe how the adjoint equations can be solved using MODFLOW. In an illustrative example, we show that for this scenario, the adjoint approach is as accurate as standard forward numerical simulation methods, and requires substantially less computational effort.

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