1 / 15

Laura Bexfield, Wesley Danskin, and Doug McAda

Example - Use of a simulation-optimization approach to assess potential strategies for ground-water management in the Albuquerque area, New Mexico. Laura Bexfield, Wesley Danskin, and Doug McAda. In cooperation with the City of Albuquerque. Background on Management Issues.

sage
Download Presentation

Laura Bexfield, Wesley Danskin, and Doug McAda

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Example - Use of a simulation-optimization approach to assess potential strategies for ground-water management in the Albuquerque area, New Mexico Laura Bexfield, Wesley Danskin, and Doug McAda In cooperation with the City of Albuquerque

  2. Background on Management Issues • City of Albuquerque has historically relied on ground water only • Up to ¾ of known basin-wide pumping is by COA • Water-level declines have become large and extensive • COA concerned about subsidence, increasing pumping costs, declining water quality Water-level declines (ft), 1960 to 2002

  3. Study Objectives • Quantify likely effects of overall change in COA water-management strategy on the regional river-aquifer system • Determine optimal pumping strategies to achieve specified management objectives for the regional system

  4. Available Tools—Flow Model(McAda & Barroll) • MODFLOW 2000 • 156 rows x 80 columns • 1 km uniform horizontal spacing • Steady-state and transient • Simulates 1900 - 2000 • Summer and winter seasons, 1990 - 2000 • Specified-flow and head-dependent flow boundaries

  5. Objective—Determine optimal pumping strategies to achieve regional management objectives

  6. Management Objectives • Minimize net depletion of aquifer storage • Minimize net infiltration from the Rio Grande • Minimize net depletion of aquifer storage, with water-level constraints • Minimize net depletion of aquifer storage, with constraints on water levels and arsenic concentrations • Minimize net depletion of aquifer storage after eliminating river “debt”

  7. Approach to Optimization • Optimize pumping for 2006-2040 • Use projections of demand and surface-water availability provided by COA • Use currently available wells • Optimize pumping on an annual basis by well field

  8. Key Equations for Optimization Objective function Composed of decision variables whose values define the solution to the problem Constraint Restricts values decision variables can take

  9. Optimization Model Design • Minimize objective function representing combined change in aquifer storage (for assigned annual pumping in 25 well fields) • Observe constraints on: -Total annual GW demand -Maximum annual capacity in each well field -Minimum withdrawal from each well field -Water-level decline (no more than 2.5 ft/yr) • Assume system response a linear function of rate of withdrawal

  10. Optimization Model Results

  11. Optimization Model Results (cont.) • Recovery of water in storage increased by 242,000 acre-ft (more than 2 years of supply) • Increased storage recovery derived from increased river/drain leakage Results for 2006-2040

More Related