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author:

Renfu, J. (Renfu, J..) [1] | Ming, Y. (Ming, Y..) [2] | Jun, L. (Jun, L..) [3] | Kaiji, Y. (Kaiji, Y..) [4]

Indexed by:

Scopus

Abstract:

From the perspective of the early warning, we have selected the groundwater quarter change as the indicators of early warning of groundwater, established the multiple adaptive regression splines early warning model for regional groundwater, analysed the driven factors of groundwater dynamic change. Through the real example, we compared the logistic regression model with MARS model. The result shows that the MARS model is more reliable and practical. But because of the region characteristic of the factors, when we use MARS model we must select the fitting indicators.

Keyword:

Early warning; Groundwater; Multiple adaptive regression splines

Community:

  • [ 1 ] [Renfu, J.]School of Architectural Science and Engineering, Yangzhou University, Yangzhou, China
  • [ 2 ] [Ming, Y.]School of Architectural Science and Engineering, Yangzhou University, Yangzhou, China
  • [ 3 ] [Jun, L.]School of Architectural Science and Engineering, Yangzhou University, Yangzhou, China
  • [ 4 ] [Kaiji, Y.]School of Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Renfu, J.]School of Architectural Science and Engineering, Yangzhou University, Yangzhou, China

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Source :

Proceedings of the 2nd International Conference on Modelling and Simulation, ICMS2009

Year: 2009

Volume: 7

Page: 175-180

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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