Skip to main content

Advertisement

Springer Nature Link
Log in

Optimal Operation of Artificial Groundwater Recharge Systems Considering Water Quality Transformations

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

In water limited areas as water demand increases alternative sustainable water sources must be identified. One supply augmentation practice, that is already being applied in the arid southwest U.S., is artificial groundwater recharge usingwastewater effluent. The objective of a recharge facility is to supplement the available groundwater resources by storing water for the future. The resulting reclaimed water is used primarily for non-potable purposes but under increasing stressesshifting to potable use is likely to happen. Water quality thenbecomes a more pressing concern. Water quality improvements during infiltration and groundwater transport are significant and are collectively described as soil-aquifer treatment (SAT). To meet user needs, the recharge operation must be efficiently managed considering monetary, water quality and environmental concerns. In this paper, a SAT management model is developed that considers all of these concerns. Within the SAT management model, the shuffled complex evolution algorithm (SCE) is used as the optimization tool. SCEis a relatively new meta-heuristic search technique for continuousproblems that has been used extensively for hydrologic model calibration. In this application, SCE is integrated with the simulation models (MODFLOW, MT3D, and MODPATH) to represent movement and quality transformations. Two steady state case studies on a general hypothetical aquifer (modeled after a field site) were examined using the management model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  • Ahfeld, D. P.: 1990, ‘Two-stage groundwater remediation’, J. Water Resour. Plan. Manage. Div. Am. Soc. Civ. Eng. 116(4), 517–529.

    Google Scholar 

  • Baumann, P.: 1965, ‘Technical development of ground water recharge’, Advances Hydrosci. 2, 209–285.

    Google Scholar 

  • Bouwer, H.: 1996, ‘New Developments in Groundwater Recharge and Soil Aquifer Treatment of Wastewater for Reuse’, Water Reuse 96: Proc., AWWA conference, San Diego, American Water Works Association Research Foundation, Denver, CO.

    Google Scholar 

  • Colarullo, S. J., Heidari, M. and Maddock III, T.: 1984, ‘Identification of an optimal groundwater management strategy in a contaminated aquifer’, Water Resour. Res. 20(5), 747–760.

    Google Scholar 

  • Cooper, V. A., Nguyen, V. T. V. and Nicell, J. A.: 1997, ‘Evaluation of global optimization methods for conceptual rainfall-runoff model calibration’, Wat. Sci. Tech. 36(5), 53–60.

    Google Scholar 

  • Dougherty, D. E. and Marryott, R.: 1991, ‘Optimal groundwater management, 1, Simulated annealing’, Water Resour. Res. 27(10), 2493–2508.

    Google Scholar 

  • Duan, Q., Sorooshian, S. and Gupta, V.: 1992, ‘Effective and efficient global optimization for conceptual rainfall-runoff models’, Water Resour. Res. 28(4), 1015–1031.

    Google Scholar 

  • Duan, Q., Gupta, V. and Sorooshian, S.: 1993, ‘Shuffled complex evolution approach for effective and efficient global minimization’, J. Optimiz. Theory Applicat. 76(3), 501–521.

    Google Scholar 

  • Duan, Q., Sorooshian, S. and Gupta, V.: 1994, ‘Optimal use of the SCE-UA global optimization method for calibrating watershed models’, J. Hydrology 158, 265–284.

    Google Scholar 

  • Franchini, M.: 1996, ‘Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models’, Hydrol. Sci. J. 41(1), 21–39.

    Google Scholar 

  • Franchini, M, Galeati, G. and Berra, S.: 1998, ‘Global optimization techniques for the calibration of conceptual rainfall-runoff models’, Hydrol. Sci. J. 43(3), 443–458.

    Google Scholar 

  • Gan, T. Y. and Biftu, G. F.: 1996, ‘Automatic calibration of conceptual rainfall-runoff models: Op-timization algorithms, catchment conditions and model structure’, Water Resour. Res. 32(12), 3513–3524.

    Google Scholar 

  • Gharbi, A. and Peralta, R. C.: 1994, ‘Integrated embedding optimization applied to Salt Lake valley aquifers’, Water Resour. Res. 30(3), 817–832.

    Google Scholar 

  • Gorelick, S. and Remson, I.: 1982, ‘Optimal dynamic management of groundwater pollutant sources’, Water Resour. Res. 18(1), 71–76.

    Google Scholar 

  • Gorelick, S. M., Voss, C. I. Gill, P. E. Murray, W. Saunders, M. A. and Wright, M. H.: 1984, ‘Aquifer reclamation design: The use of contaminant transport simulation combined with nonlinear programming’, Water Resour. Res. 20(4), 415–427.

    Google Scholar 

  • Hooke, R. and Jeeves, T. A.: 1961, ‘Direct search solution of numerical and statistical problems’, J. ACM 8, April, 212–229.

    Google Scholar 

  • Huang, C. and Mayer, A. S.: 1997, ‘Pump-and-treat optimization using well locations and pumping rates as decision variables’, Water Resour. Res. 33(5), 1001–1012.

    Google Scholar 

  • Johnson, P. R. and Pilgrim, D. H.: 1976, ‘Parameter optimization for watershed models’, Water Resour. Res. 12(3), 477–486.

    Google Scholar 

  • Karatzas, G. P. and Pinder, G. F.: 1993, ‘Groundwater management using numerical simulation and the outer approximation method for global optimization’, Water Resour. Res. 229(10), 3371–3378.

    Google Scholar 

  • Karatzas, G. P. and Pinder, G. F.: 1996, ‘The solution of groundwater quality management problems with a nonconvex feasible region using a cutting plane technique’, Water Resour. Res. 32(4), 1091–1100.

    Google Scholar 

  • Lefkoff, L. J. and Gorelick, S.: 1986, ‘Design and cost analysis of rapid aquifer restoration systems using flow simulation and quadratic programming’, Ground Water 24(6), 777–790.

    Google Scholar 

  • Marryott, R., Dougherty, D. and Stollar, R.: 1993, ‘Optimal groundwater management 2. Application of simulated annealing to a field-scale contamination site’, Water Resour. Res. 29(4), 847–860.

    Google Scholar 

  • McDonald, M. and Harbaugh, A.: 1983, A modular Three-dimensional Finite-difference Ground-water Flow Model, USGS Water Resources Investigations, Book 6, Chap. A1, pp. 586.

  • McKinney, D. C. and Lin, M. D.: 1994, ‘Genetic algorithm solution of groundwater management models’, Water Resour. Res. 30(6), 1897–1906.

    Google Scholar 

  • Murtagh, B. and Saunders, M.: 1987, ‘MINOS 5.1 User's Guide’, Tech. Report SOL 83-20 R, Dep.of Oper. Res. Stanford Univ., Stanford, CA.

    Google Scholar 

  • Nelder, J. A. and Mead, R.: 1965, ‘A Simplex method for Function Minimization’, Computer J. 7, 308–313.

    Google Scholar 

  • Pollock, D. W.: 1994, ‘User's Guide for MODPATH/MODPATH-PLOT, Version 3: A Particle Track-ing Post-processing Package for MODFLOW’, U.S. Geological Survey Open-File Report 94-464, 6 Ch.

  • Remson, I. and Gorelick, S.: 1980, ‘Management Models Incorporating Groundwater Variables’, in D. Yaron and C. Tapiero (eds), Operations Research in Agriculture and Water Resources, Amsterdam, North-Holland, pp. 333-356

  • Rogers, L. L. and Dowla, F. U.: 1994, ‘Optimization of groundwater remediation using artificial networks with parallel transport modeling’, Water Resour. Res. 30(2), 457–482.

    Google Scholar 

  • Sorooshian, S. and Gupta, V. K.: 1985, ‘The analysis of structural identifiability: Theory and application to conceptual rainfall-runoff models’, Water Resour. Res. 21(4), 487–495.

    Google Scholar 

  • Sorooshian, S., Duan, Q. and Gupta, V. K.: 1993, ‘Calibration of conceptual rainfall-runoff models using global optimization: Application to the Sacramento soil moisture accounting model’, Water Resour. Res. 29(4), 1185–1194.

    Google Scholar 

  • Tanakamaru, H.: 1995, ‘Parameter estimation for the tank model using global optimization’, Trans. JSIDRE 178, 103–112.

    Google Scholar 

  • Thyer, M., Kuczera, G. and Bates, B. C.: 1999, ‘Probabilistic optimization for conceptual rainfall-runoff models: A comparison of the shuffled complex evolution and simulated annealing algorithms’, Water Resour. Res. 35(3), 767–773.

    Google Scholar 

  • Voss, C. I.: 1984, ‘A Finite-element Simulation Model for Saturated-Unsaturated, Fluid-density-dependent Ground-water Flow with Energy Transport or Chemically-reactive Single-species Solute Transport’, U.S. Geological Survey Water Resources Investigations Report 84-4369, p. 409.

  • Wang, M, and Zheng, C.: 1998, ‘Application of genetic algorithms and simulated annealing in groundwater management: Formulation and comparison’, J. Am. Water Resour. Assoc. 34(3)

  • Willis, R.: 1979, ‘A planning model for the management of groundwater quality’, Water Resour. Res. 15(6), 1305–1312.

    Google Scholar 

  • Zheng, C.: 1990, ‘MT3D, A Modular Three-dimensional Transport Model for Simulation of Advection, Dispersion, and Chemical Reactions of Contaminants in Groundwater Systems’, Report to the Kerr Environmental Research Laboratory, U.S. Environmental Protection Agency, Ada, OK.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CH2M-Hill, Redding, CA, U.S.A

    Muzaffar M. Eusuff

  2. Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, U.S.A. (author for correspondence, e-mail

    Kevin E. Lansey

Authors
  1. Muzaffar M. Eusuff
    View author publications

    Search author on:PubMed Google Scholar

  2. Kevin E. Lansey
    View author publications

    Search author on:PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eusuff, M.M., Lansey, K.E. Optimal Operation of Artificial Groundwater Recharge Systems Considering Water Quality Transformations. Water Resources Management 18, 379–405 (2004). https://doi.org/10.1023/B:WARM.0000048486.46046.ee

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:WARM.0000048486.46046.ee