基于奇异谱分析(SSA)的棉兰市降水预报

Silvia Agustina, F. Fitri, Dodi Vionanda, Admi Salma
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引用次数: 0

摘要

奇异谱分析是一种时间序列分析,可用于具有季节性影响的数据。降雨就是一个具有季节性影响的例子。高降雨量对洪水等自然灾害有影响。棉兰市是北苏门答腊省的首府,降雨量很大,而且是一个低地地区,因此有可能发生洪水。降雨预报可以作为减灾手段。使用的预测方法是SSA。得到的MAPE预测精度值为15.7%,跟踪信号在公差范围内,预测效果良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rainfall Forcasting in Medan City Using Singular Spectrum Analysis (SSA)
Singular spectrum analysis is a time series analysis that can be used for data that has seasonal effects. Rainfall is one example that has a seasonal effect. High rainfall has an impact on natural disasters such as floods. Medan city is the capital city of North Sumatra province which has quite high rainfall and is a lowland area, so it has the potential for flooding. Rainfall forecasting can be done as disaster mitigation. The forecasting method used is SSA. The MAPE forecasting accuracy value obtained is 15.7% and the tracking signal is within tolerance limits so that it can be concluded that the forecasting is done well.
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