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Time Series Analysis of Water Quality in Hanjiang River


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1 College of Urban Construction, Hebei University of Engineering, Handan, 056038, China
 

According to characteristics of time series in Hanjiang river, exponential smoothing and seasonal decomposition are adopted to predict the water quality in Hanjiang river. The accuracy of prediction will directly influence whether we can work out a reasonable plan and management measures. The paper introduces the principle of exponential smoothing method and seasonal decomposition, and the process is detailed using SPSS. The results indicate that the predictions are reasonable and reliable, and the methods are fitting for the time series analysis.

Keywords

Time Series Analysis, Exponential Smoothing, Water Quality, Seasonal Decomposition.
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  • Time Series Analysis of Water Quality in Hanjiang River

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Authors

Juan Zhang
College of Urban Construction, Hebei University of Engineering, Handan, 056038, China
Changjun Zhu
College of Urban Construction, Hebei University of Engineering, Handan, 056038, China

Abstract


According to characteristics of time series in Hanjiang river, exponential smoothing and seasonal decomposition are adopted to predict the water quality in Hanjiang river. The accuracy of prediction will directly influence whether we can work out a reasonable plan and management measures. The paper introduces the principle of exponential smoothing method and seasonal decomposition, and the process is detailed using SPSS. The results indicate that the predictions are reasonable and reliable, and the methods are fitting for the time series analysis.

Keywords


Time Series Analysis, Exponential Smoothing, Water Quality, Seasonal Decomposition.