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2020 Vol.30, Issue 4 Preview Page

Research Article

Improving the Genetic Algorithm for Maximizing Groundwater Development During Seasonal Drought
Sun Woo Chang1
,
Jitae Kim2
,
Il-Moon Chung3
,
Jeong Eun Lee4*
1Senior Researcher, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology
2CEO, SDM ENC Co., Ltd.
3Senior Research Fellow, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology
4Senior Researcher, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology
*Corresponding Author
31 December 2020. pp. 435-446
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Abstract

The use of groundwater in Korea has increased in recent years to the point where its extraction is restricted in times of drought. This work models the groundwater pumping field as a confined aquifer in a simplified simulation of groundwater flow. It proposes a genetic algorithm to maximize groundwater development using a conceptual model of a steady-state confined aquifer. Solving the groundwater flow equation numerically calculates the hydraulic head along the domain of the problem; the algorithm subsequently offers optimized pumping strategies. The algorithm proposed here is designed to improve a prior initial groundwater management model. The best solution is obtained after 200 iterations. The results compare the computing time for five simulation cases. This study shows that the proposed algorithm can facilitate better groundwater development compared with a basic genetic algorithm.

Keywords
drought
genetic algorithm
groundwater development
pumping strategy
References
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Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 30
  • No :4
  • Pages :435-446
  • Received Date : 2020-11-18
  • Revised Date : 2020-11-23
  • Accepted Date : 2020-11-24
  • DOI :https://doi.org/10.9720/kseg.2020.4.435
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