ARIMA模式模拟降雨衰减时间序列

Ruike Yang, Li Li, Zhenwei Zhao, Yizhi Zhang
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引用次数: 2

摘要

根据自回归移动平均理论,基于E - M-B降雨时间序列方法和ITU-R降雨参数建立ARIMA模型。利用ARIMA模式模拟了北京和海口地区12.5GHz频率下的降雨衰减时间序列。分析了50个模拟事件的雨衰减序列持续时间统计的概率。对北京和海口的模拟结果与实测结果和ITU-R预测结果进行了比较。结果表明,当持续时间小于几百秒时,ARIMA模拟的统计结果与实测和ITU-R预测的结果基本一致,但持续时间较长时,二者差异明显。说明ARIMA(3,1,3)模式可用于北京和海口降雨衰减时间序列的模拟,但在较长的持续时间内需要改进。
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Simulation of rain attenuation time series by ARIMA model
According to Auto regression moving average theory, the ARIMA model is established based on the E M-B rain time series method and ITU-R rain parameters. The rain attenuation time series are simulated by ARIMA model at Beijing and Haikou area, at 12.5GHz. The probability of the duration time statistical for rain attenuation series of 50 simulative events is analyzed. A comparion among the results of simulated with measured and ITU-R predicted is done at Beijing and Haikou. It is shown that when duration time is smaller than several hundred second, the statistical results simulated by ARIMA are basically in agreement with the results by measuring and ITU-R predicting, but for the longer duration time, the difference among them is obvious. This shows that the ARIMA(3,1,3) model can be applied to the simulation of rain attenuation time series at Beijing and Haikou, but for longer duration time it is required to improve.
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