Simulation‐Optimization Approach for Siting Injection Wells in Urban Area with Complex Hydrogeology

Author:

Mok Chin Man1,Carrera Barbara1,Hort Hiroko2,Santi Lauren2,Daus Anthony2,Panday Sorab3,Jones David4,Partington Brian5,Ferguson Everett5

Affiliation:

1. GSI Environmental Oakland California USA

2. GSI Environmental Irvine California USA

3. GSI Environmental Herndon Virginia USA

4. Hazen and Sawyer Irvine California USA

5. Water Replenishment District of Southern California Lakewood California USA

Abstract

AbstractManaged aquifer recharge has become a standard water resources management practice to promote the development of locally sustainable water supplies and combat water scarcity. However, installation of injection wells for replenishment purposes in urban areas with complex hydrogeology faces many challenges, such as limited land availability, potential impacts on municipal production wells and known subsurface contamination plumes, and complex spatially variable hydraulic connections between aquifer units. To assess the feasibility and cost‐effectiveness of injecting advanced treated water (ATW) into a complex urban aquifer system, a Simulation‐Optimization (SO) model was developed to automate a systematic search for the most cost‐effective locations to install new wells for injecting various quantities of ATW, if feasible. The generalized workflow presented here uses an existing MODFLOW groundwater model—along with advanced optimization routines that are publicly available—to flexibly accommodate a multiobjective function, complex constraints, and specific project requirements. The model successfully placed wells for injection of 1 to 4 MGD of ATW in aquifers underlying the study area. The injection well placement was primarily constrained by avoiding excessive impact on environmental sites with underlying groundwater plumes. The largest costs were for well installation and piping to the wells from the existing ATW pipes. This workflow is readily adaptable to other sites with different complexities, decision variables, or constraints.

Publisher

Wiley

Subject

Computers in Earth Sciences,Water Science and Technology

Reference12 articles.

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2. Ahlfeld D.P. andR.G.Riefler.1999.Documentation for MODOFC: A program for solving optimal flow control problems based on MODFLOW simulation version 2.11.http://www.ecs.umass.edu/modofc/

3. California Water Boards.2018.Titles 22 and 17 California Code of Regulations State Board Division of Drinking Water Recycled Water Regulations.https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/Lawbook.html

4. Halford K.J.2006.MODOPTIM: A General Optimization Program for Ground‐Water Flow Model Calibration and Ground‐Water Management with MODFLOW. U.S. Geological Survey Scientific Investigations Report 2006‐5009.

5. Harbaugh A.W.2005.MODFLOW‐2005 the U.S. Geological Survey modular ground‐water model ‐ the ground‐water flow process: U.S. Geological Survey Techniques and Methods 6‐A16.

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