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The Application of Detrended Fluctuation Analysis in Rice Blast in the Early Warning

机译:在预警中稻瘟病的妇女波动分析在稻瘟病中的应用

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In this paper, the 5-9 months of 2000-2011 temperature and humidity data, used the detrended fluctuation analysis, obtained how the two data series' non-uniform scaling index changes with time. In order to comprehensive influence of temperature and relative humidity of the two meteorological factors, the temperature and humidity coefficient is introduced. We also proposed a new non-uniform scaling index taking into account the information of temperature and relative humidity, and discusses the possible correlation between temperature and humidity and rice blast. The preliminary results show, A long-range power-law correlation can be found in the time series of temperature and humidity. About 5-15 days before the occurrence of rice blast will appear anomalies of non-uniform scaling index. It reflects the rice blast made a difference of statistical significance to the characteristic of nonlinear system internal of temperature and humidity coefficient. It can predict the occurrence and prevalence of rice blast according to the abnormal changes of temperature and humidity coefficient scaling exponent.
机译:在本文中,2000-2011的5-9个月的温度和湿度数据,使用了次数波动分析,从而获得了两种数据系列的非均匀缩放指数随时间变化。为了全面影响两种气象因素的温度和相对湿度,介绍了温度和湿度系数。我们还提出了一种新的非均匀缩放指数,考虑到温度和相对湿度的信息,并探讨了温度和湿度和稻瘟病之间的可能相关性。初步结果表明,可以在温度和湿度的时间序列中找到远程功率律相关性。大约5-15天在稻瘟病发生前将出现非均匀缩放指数的异常。它反映了稻米爆炸对温度和湿度系数内部的非线性系统特征的统计学意义差异。它可以根据温度和湿度系数缩放指数的异常变化预测稻瘟病的发生和患病率。

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