### Abstract

A methodology is developed for determining optimal pumping and recharge of large scale artesian and/or nonartesian aquifers. This methodology couples optimization techniques with existing groundwater simulation models. It can be applied to both groundwater policy evaluation (allocation) such as large-scale aquifers and to hydraulic management problems such as the dewatering of mining or excavation sites. The state variables which represent the heads and the control variables which represent the pumpages are implicitly related through the groundwater simulator. The simulator equations are used to express the states in terms of the controls, yielding a much smaller reduced problem. Techniques for computing gradients of reduced problem functions are described. The reduced problem is solved by combining augmented Lagrangian and reduced gradient procedures. The optimization-groundwater simulation system is referred to as GWMAN.

Original language | English (US) |
---|---|

Title of host publication | Unknown Host Publication Title |

Pages | 447-465 wreraq |

Edition | 4 |

State | Published - Apr 1986 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Unknown Host Publication Title*(4 ed., pp. 447-465 wreraq)

**OPTIMAL MANAGEMENT OF LARGE-SCALE AQUIFERS : METHODOLOGY AND APPLICATIONS.** / Wanakule, Nisai; Mays, Larry; Lasdon, Leon S.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*Unknown Host Publication Title.*4 edn, pp. 447-465 wreraq.

}

TY - CHAP

T1 - OPTIMAL MANAGEMENT OF LARGE-SCALE AQUIFERS

T2 - METHODOLOGY AND APPLICATIONS.

AU - Wanakule, Nisai

AU - Mays, Larry

AU - Lasdon, Leon S.

PY - 1986/4

Y1 - 1986/4

N2 - A methodology is developed for determining optimal pumping and recharge of large scale artesian and/or nonartesian aquifers. This methodology couples optimization techniques with existing groundwater simulation models. It can be applied to both groundwater policy evaluation (allocation) such as large-scale aquifers and to hydraulic management problems such as the dewatering of mining or excavation sites. The state variables which represent the heads and the control variables which represent the pumpages are implicitly related through the groundwater simulator. The simulator equations are used to express the states in terms of the controls, yielding a much smaller reduced problem. Techniques for computing gradients of reduced problem functions are described. The reduced problem is solved by combining augmented Lagrangian and reduced gradient procedures. The optimization-groundwater simulation system is referred to as GWMAN.

AB - A methodology is developed for determining optimal pumping and recharge of large scale artesian and/or nonartesian aquifers. This methodology couples optimization techniques with existing groundwater simulation models. It can be applied to both groundwater policy evaluation (allocation) such as large-scale aquifers and to hydraulic management problems such as the dewatering of mining or excavation sites. The state variables which represent the heads and the control variables which represent the pumpages are implicitly related through the groundwater simulator. The simulator equations are used to express the states in terms of the controls, yielding a much smaller reduced problem. Techniques for computing gradients of reduced problem functions are described. The reduced problem is solved by combining augmented Lagrangian and reduced gradient procedures. The optimization-groundwater simulation system is referred to as GWMAN.

UR - http://www.scopus.com/inward/record.url?scp=0022698930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022698930&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:0022698930

SP - 447-465 wreraq

BT - Unknown Host Publication Title

ER -