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Prediction of Karst Groundwater Level Based on R-Language - Taking Jinci Spring Basin as an Example

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Abstract:

Considering the complexity and randomness of the karst groundwater systems, a multiple linear regression model was developed for groundwater-level prediction based on the R language. The Jinci Spring basin was taken as a case study. Results show that the established model can predict the dynamics of the karst groundwater levels with high accuracy at an annual time scale, which can be served for macroscopic groundwater management.

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Info:

Periodical:

Applied Mechanics and Materials (Volume 730)

Pages:

230-234

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.730.230

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Online since:

January 2015

Authors:

Hui Jun Shi, Xin Qi, Hua Jin*

Keywords:

Groundwater Level Prediction, Jinci Spring Basin, Multiple Linear Regression, R Language

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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References

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[2] Q XU, LC Shu: submitted to Journal of Hydrology. Vol 30(2010), pp.27-30. (in Chinese).

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