• DocumentCode
    3409519
  • Title

    Simulation of karst hydrological processes using GM(1,1) metabolic model

  • Author

    Wang, Yajie ; Hao, Yonghong ; Wang, Xuemeng

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Tianjin Normal Univ., Tianjin, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    588
  • Lastpage
    593
  • Abstract
    In this paper, the GM(1,1) metabolic model was applied to simulation of the spring discharge of Niangziguan Springs. We identified the models by error analysis and found that the GM(1,1) metabolic models with data sequence of seven and eight dimensions can reflect the future variation of the springs flow. The results showed that the predicted spring flow of the models with data sequence of seven dimensions were larger than those of eight dimensions. The models provided with a range of the spring discharge. The Niangziguan Springs flow was supposed to be declining. The upper limit of Niangziguan Springs flow was likely to decrease from 6.91 to 6.73 m3/s during 2008 to 2012. Accordingly the lower limit was likely to decrease from 6.83 to 6.57 m3/s during the same period of time. The continuous decaying of Niangziguan Springs flow stressed that karst groundwater exploitation and economic activities disturbed groundwater circulation that have exceeded natural supplement.
  • Keywords
    groundwater; hydrology; AD 2008 to 2012; Eastern Shanxi Province; GM(1,1) metabolic model; Mianhe River Valley; Niangziguan Springs; Taihang Mountains; data sequence; economic activities; groundwater exploitation; karst hydrological processes; north China; spring discharge; Economic forecasting; Environmental economics; Error analysis; Geology; Intelligent systems; Predictive models; Springs; Technology planning; Uncertainty; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408244
  • Filename
    5408244