Spatial evolutionary algorithms for characterizing large-scale spatial groundwater-vegetation dynamics in arid region

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vegetation in arid riparian zones heavily depends on groundwater, meanwhile the distribution of vegetation impacts the groundwater flow in the area. This study describes a methodology to characterize groundwater-vegetation dynamics using a spatial evolutionary algorithm (SEA). It incorporates spatial knowledge of groundwater and vegetation to facilitate the optimal search of vegetation distribution compatible to groundwater flow. Unlike a regular EA for spatial models, the SEA employs a hierarchical tree structure to represent spatial variables in a more efficient way. Furthermore, special crossover and mutation operators are designed in accordance with the tree representation. In this paper, the SEA is applied to searching for the maximum vegetation coverage associated with a distributed groundwater system in an arid region. The results of computational experiments demonstrate the efficiency of SEA for large-scale spatial optimization problems. Extension of the algorithm for other water resources management problems is discussed.

Original languageEnglish (US)
Title of host publicationProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009
Subtitle of host publicationGreat Rivers
Pages5115-5124
Number of pages10
DOIs
StatePublished - Oct 26 2009
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, MO, United States
Duration: May 17 2009May 21 2009

Publication series

NameProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers
Volume342

Other

OtherWorld Environmental and Water Resources Congress 2009: Great Rivers
CountryUnited States
CityKansas City, MO
Period5/17/095/21/09

Keywords

  • Ecosystem management
  • Large-scale
  • Spatial evolutionary algorithms (SEA)
  • Spatial optimization
  • Vegetation-groundwater Interactions

ASJC Scopus subject areas

  • Environmental Science(all)

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  • Cite this

    Wang, J., Cai, X., & Valocchi, A. J. (2009). Spatial evolutionary algorithms for characterizing large-scale spatial groundwater-vegetation dynamics in arid region. In Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers (pp. 5115-5124). (Proceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers; Vol. 342). https://doi.org/10.1061/41036(342)517