Forecasting Characteristic Water Levels of Taihu Lake Based on Time Series Decomposing Method
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    Abstract:

    Based on the daily average water levels of the five gauges around the Taihu Lake observed from 1956 to 2006, the annual characteristic water levels(average, highest and lowest) were obtained. Time series analysis method was adopted, and the decomposition model of trend, period and random components was applied to simulate and fore-cast the annual characteristic water levels of Taihu Lake. The annual characteristic water levels were forecasted for the next 15 years and the future flood scenarios of Taihu Lake basin were also addressed. The results in-dicate that the highest water level of Taihu Lake may reach 4.05 m in 2021, which is significantly higher than the warning water level of Taihu Lake and thus worthy of attention for relevant department.

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尹义星,许有鹏,张小娜,焦士兴,闫桂霞.基于时间序列分解方法的太湖未来特征水位预测[J].水土保持通报英文版,2012,(4):172-175

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History
  • Received:June 06,2011
  • Revised:
  • Adopted:
  • Online: November 25,2014
  • Published: