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- W2351739969 abstract "Using the value of annual average underground water depth of S1 hole which in Lancun karst spring area,the values of rainfall and groundwater withdrawal as characteristic factor sequence and labor sequence respectively and combining with the grey system theory GM( 1,N) model that forecasting underground water depth in Lancun karst spring area to simulate and modify the output residual error based on the Markov model. The results show that the fitting accuracy of the modified GM( 1,3) model is 97. 41% that is 9. 62% higher than that of before. And the predictive values which had been corrected were closer to the original date. The results of applying markov residual error correction model for predicting the underground water depth( 2011- 2013) in Lancun karst spring area show that the predictive value of groundwater depth in the year of 2011,2012 and 2013 are 33. 24,32. 01 and 31. 12 m respectively,indicating that the groundwater table is rising slowly." @default.
- W2351739969 created "2016-06-24" @default.
- W2351739969 creator A5046017530 @default.
- W2351739969 date "2015-01-01" @default.
- W2351739969 modified "2023-10-14" @default.
- W2351739969 title "Prediction of Groundwater Depth the Based on Grey Markvo Model" @default.
- W2351739969 hasPublicationYear "2015" @default.
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