2014
DOI: 10.1007/s13201-014-0173-y
|View full text |Cite
|
Sign up to set email alerts
|

Optimal management of groundwater pumping of the cache critical groundwater area, Arkansas

Abstract: A simulation model for part of the Mississippi River Valley alluvial aquifer in the Cache area, Arkansas, was coupled with an optimization model to determine maximum optimal pumping from irrigation wells in the areas where cones of depression exist. Groundwater Vistas and Groundwater Management software were used for simulation and optimization model, respectively. The Cache area was designated as a critical groundwater area in 2009 due to the decline in its water level to below 50 % of the saturated thickness… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…The most widely used optimization formulations are linear, quadratic, dynamic, stochastic, nonlinear models, and global search algorithms such as genetic algorithms and simulated annealing (Ahlfeld & Mulligan, 2000; Yeh, 2015). Common groundwater management problems that require simulation–optimization model are pumping optimization (Feyen & Gorelick, 2004; Hallaji & Yazicigil, 1996; Mantoglou, 2003; Mantoglou & Papantoniou, 2008; Theodossiou, 2004; Tung, 1986; Wagner & Gorelick, 1987), pumping cost optimization (Ahlfeld & Sawyer, 1990; Gorelick et al, 1984; Huang & Mayer, 1997; Rashid et al, 2015; Theodossiou, 2004), well location optimization (Gorelick et al, 1984; Huang & Mayer, 1997; Mantoglou & Papantoniou, 2008; Wagner & Gorelick, 1987; Wang & Ahlfeld, 1994), surface water and groundwater conjunctive use optimization (Emch & Yeh, 1998), saline water intrusion minimization (Finney et al, 1992), pumping pattern optimization (Tung, 1986), water injection rate optimization (Sreekanth et al, 2016; Wagner & Gorelick, 1987), prediction uncertainty minimization (Sreekanth et al, 2016), parameter estimation (Feyen & Gorelick, 2004; Mylopoulos & Sidiropoulos, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The most widely used optimization formulations are linear, quadratic, dynamic, stochastic, nonlinear models, and global search algorithms such as genetic algorithms and simulated annealing (Ahlfeld & Mulligan, 2000; Yeh, 2015). Common groundwater management problems that require simulation–optimization model are pumping optimization (Feyen & Gorelick, 2004; Hallaji & Yazicigil, 1996; Mantoglou, 2003; Mantoglou & Papantoniou, 2008; Theodossiou, 2004; Tung, 1986; Wagner & Gorelick, 1987), pumping cost optimization (Ahlfeld & Sawyer, 1990; Gorelick et al, 1984; Huang & Mayer, 1997; Rashid et al, 2015; Theodossiou, 2004), well location optimization (Gorelick et al, 1984; Huang & Mayer, 1997; Mantoglou & Papantoniou, 2008; Wagner & Gorelick, 1987; Wang & Ahlfeld, 1994), surface water and groundwater conjunctive use optimization (Emch & Yeh, 1998), saline water intrusion minimization (Finney et al, 1992), pumping pattern optimization (Tung, 1986), water injection rate optimization (Sreekanth et al, 2016; Wagner & Gorelick, 1987), prediction uncertainty minimization (Sreekanth et al, 2016), parameter estimation (Feyen & Gorelick, 2004; Mylopoulos & Sidiropoulos, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…In other words, groundwater development should avoid excessive drawdowns in the utilized aquifer and deterioration in the quality of the abstracted groundwater. Hence, the integrated approach of water resources development takes into consideration the assessment and evaluation of available water resources in terms of quantity and quality of the produced water (Rashid et al 2015;Duan et al 2013Duan et al , 2015Duan et al , 2016. This research is a good example of groundwater resources management in a water-scarce area where sufficient quantities of groundwater are needed to be produced for industrial use with acceptable limits of water quality.…”
Section: Introductionmentioning
confidence: 99%
“…The water balance helps managers and officials to codify a proper plan for water resources and consumption. Water balance codification is a part of groundwater resources management and also generally water management (Rashid et al 2015). Water balance codification helps to find out potential conditions of water resources in an aquifer or studied field and makes progression in water resources utilization possibility.…”
Section: Introductionmentioning
confidence: 99%