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Groundwater Prediction Based on Time Series Model and Wavelet De-nosing

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 308))

Abstract

With the rapid growth of paddy field area and the excessive exploitation of water resources in Hongwei farm in recent years, the groundwater level getting deeper, by which a serious threaten to the sustainable utilization of water resources is being caused. For revealed time evolution rule of groundwater level in the area, the time series model based on wavelet de-noising theory in groundwater level prediction was established, which should provided a theoretical basis for rational utilization and sustainable development of groundwater resources in Hongwei farm.

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© 2012 Springer-Verlag Berlin Heidelberg

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Yongxia, W., Mingyang, Q., Xiaoyan, W. (2012). Groundwater Prediction Based on Time Series Model and Wavelet De-nosing. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-34041-3_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34040-6

  • Online ISBN: 978-3-642-34041-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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