• DocumentCode
    3373428
  • Title

    Application of SCE-UA to Optimize the Management Model of Groundwater Resources in Deep Aquifers of the Yangtze Delta

  • Author

    Zhu, Xiaobin ; Wu, Jichun ; Wu, Jianfeng

  • Author_Institution
    Dept. of Earth Sci., Nanjing Univ.
  • Volume
    2
  • fYear
    2006
  • fDate
    20-24 June 2006
  • Firstpage
    303
  • Lastpage
    308
  • Abstract
    For the first time, the SCE-UA (shuffling complex evolution-University of Arizona) method is used to solve the management model for deep groundwater resources of the Yangtze Delta, which is a multi-aquifer system with large area and complicated geology conditions. A series of environmental geology problem, such as decreasing of groundwater resources, the land interstice and the land subsidence, emerged as the result of long-term excessive exploitation of the groundwater resources in deep aquifers. The land subsidence is the most seriously one because it increased rapidly, effected on large area and resulted in huge hazards. Therefore, management model of groundwater resources in deep aquifers is built with the land subsidence taken into account. The management model is solved by the SCE-UA method and the GA (genetic algorithm) method respectively. Comparing the optimization results of these two methods, we can see that the SCE-UA method was effectively used to solve management models of groundwater resources in multi-aquifer system with large area and complicated geology conditions. At the same time, the optimization results provide scientific basis for using groundwater resources in deep aquifers reasonably in the future
  • Keywords
    environmental management; genetic algorithms; geology; geophysics computing; groundwater; University of Arizona; Yangtze Delta; deep groundwater resources management model optimization; deep multiaquifer system; environmental geology problem; genetic algorithm; land subsidence; Cities and towns; Control systems; Foot; Genetic algorithms; Geology; Geoscience; Hazards; Optimization methods; Resource management; Rivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
  • Conference_Location
    Hanzhou, Zhejiang
  • Print_ISBN
    0-7695-2581-4
  • Type

    conf

  • DOI
    10.1109/IMSCCS.2006.192
  • Filename
    4673721