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Spatiotemporal variation of rainfall based on random sample classification and English vocabulary translation of imported products

机译:基于随机样品分类和进口产品的英语词汇平衡的降雨量的时空变化

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摘要

In this paper, we use Monte Carlo simulation method to estimate the intra group correlation coefficient of the whole group of random sample classification design and recalculate the sample size according to the intra group correlation coefficient. Using this method, we can easily calculate the correlation coefficient and sample size and use the ODS function of SAS software to get word output. Then random samples are classified. In addition, this paper analyzes the relationship between summer heavy precipitation and spatial-temporal variation of circulation rainfall by using daily precipitation data of meteorological stations, NCEP reanalysis data, and relevant circulation index. Singular value decomposition (SVD) method is used to analyze the spatial correlation between spatial-temporal variation of summer rainfall and 500 hPa geopotential height; with the help of wavelet coherence and cross wavelet transform, the relationship between summer heavy rainfall and Western Pacific subtropical high and the relationship between East Asian summer monsoon and South China Sea summer monsoon are analyzed. Finally, the temporal and spatial variation of heavy rainfall in summer in this area is analyzed. With the development of economic globalization, the distribution of various products among countries becomes more and more frequent. In recent years, the number of imported products from China has increased, and many foreign products have entered the Chinese market. Because only in this way can people of different classes and ages know the basic characteristics and usage of the product. Standardizing English vocabulary translation of imported product description plays an important role in improving user's product experience and increasing product sales. This paper adopts the method of random sample classification to study the temporal and spatial changes of rainfall and English vocabulary translation, so as to promote the development of imported products.
机译:在本文中,我们使用Monte Carlo仿真方法来估计整组随机样本分类设计的帧内相关系数,并根据帧内相关系数重新计算样本量。使用此方法,我们可以轻松地计算相关系数和样本大小,并使用SAS软件的ODS功能来获取Word输出。然后归类随机样本。此外,本文通过使用气象站,NCEP再分析数据和相关循环指数的日降水数据分析了夏季重度降水与循环降雨的空间变化的关系。奇异值分解(SVD)方法用于分析夏季降雨的空间变化与500 HPA地球势高度之间的空间相关性;借助小波连贯和跨小波变换,分析了夏季大雨与西太平洋亚热带高的关系和东亚夏季季风与南海夏季季风的关系。最后,分析了该地区夏季大雨的时间和空间变化。随着经济全球化的发展,各国之间各种产品的分布变得越来越频繁。近年来,中国进口产品的数量增加,许多外国产品已进入中国市场。因为只有这样,不同的课程和年龄的人都知道产品的基本特征和用法。标准化进口产品描述的英语词汇翻译在提高用户的产品体验和增加产品销售方面发挥着重要作用。本文采用随机样品分类方法研究降雨量和英语词汇翻译的时间和空间变化,从而促进进口产品的发展。

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  • 来源
    《Oceanographic Literature Review》 |2021年第9期|1910-1910|共1页
  • 作者

    L. Wang;

  • 作者单位

    Zhengzhou University of Technology Zhengzhou Henan 450044 China;

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  • 原文格式 PDF
  • 正文语种 eng
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