Research and Prediction of Yellow Soil Moisture Content in Guizhou Province Based on ARIMA Model

Min Liu; Zhi-Min He

doi:10.4028/www.scientific.net/AMR.690-693.3076

Paper Titles

Numerical Investigation for Fracture Saturation in Multilayer Sedimentary Rock in Unsymmetrical Case
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Numerical Simulation for Rock Fracturing Process under Action of Disc Cutter
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The Preventing Coal and Gas Outburst Technology of Middle Distance and Low Permeability and Upper Protective Layer
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The Roof Broken Mechanism of Fully Mechanized Coal Face with Super Thick and Loose Layer
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Research and Prediction of Yellow Soil Moisture Content in Guizhou Province Based on ARIMA Model
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Energy Analysis and Optimization of Methyl Chlorosilane Separation
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The Optimization of CO₂ Huff and Puff Well Location in Ultra-Low Permeability Reservoir
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Prediction of the Flow, Reaction and Heat Transfer for Glass Furnace Firing Petroleum Coke
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A Coke Quality Prediction Model Based on Support Vector Machine
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 690-693Research and Prediction of Yellow Soil Moisture...

Research and Prediction of Yellow Soil Moisture Content in Guizhou Province Based on ARIMA Model

Abstract:

To predict the change trend of guizhou yellow soil moisture content, we employed the ARIMA model of time series, compared the measured data with the prediction data, and the results show that ARIMA time series model fitting soil moisture content change trend is good, predicted value is very close to the observed value. The maximal absolute error, 0.6% and the maximal relative error, 4.2%).The results have practical application value for drought research and management to provide reference^[1].

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Periodical:

Advanced Materials Research (Volumes 690-693)

Pages:

3076-3081

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.690-693.3076

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Online since:

May 2013

Authors:

Min Liu, Zhi-Min He

Keywords:

ARIMA Model, Forecast, Guizhou Province, Prediction, Soil Moisture Content

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References

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