基于克里金插值法的昆明市PM2.5预测

发布时间：2018-04-17 16:22

本文选题：克里金差值法 + PM2.5　；参考：《云南大学》2016年硕士论文

【摘要】：克里金插值法是由南非矿产工程师克里格于1951年在寻找金矿时首次运用的局部差值法。目前克里金插值法已有了完整的理论基础,并且在许多领域得到了实际的应用,如矿产的探测、降水量的分布、土壤污染、空气中微粒的含量等等。随着社会的发展、人类的进步以及人类对生活质量的追求,空气质量问题引发了人类越来越多的探讨。PM2.5作为影响空气质量的重要指标之一,也得到了广泛的关注。本文系统讲解克里金插值法的步骤和任务,重点研究空间分布对空气质量的影响。本文介绍了克里金插值法的相关理论,同时为了运用克里金插值法,本文引入了具体的数据进行研究。本文从结构上看,首先介绍反距离加权法的概况；其次,介绍地统计学的基础——半变异函数；再次,重点讲解各种不同克里金插值法的相关理论及证明；最后,结合实际的昆明PM2.5数据,利用R语言进行克里金插值法。
[Abstract]:Kriging interpolation is the first local difference method used by South African mineral engineer Krieger in 1951 when looking for gold deposits.At present, Kriging interpolation method has a complete theoretical foundation, and has been applied in many fields, such as mineral exploration, distribution of precipitation, soil pollution, air particle content and so on.With the development of society, the progress of human beings and the pursuit of the quality of life, the problem of air quality has aroused more and more discussion. PM2.5, as one of the important indexes affecting air quality, has been paid more and more attention.In this paper, the steps and tasks of Kriging interpolation are systematically explained, and the effect of spatial distribution on air quality is studied.This paper introduces the related theory of Kriging interpolation method, and in order to use Kriging interpolation method, this paper introduces the specific data to carry on the research.From the structural point of view, this paper first introduces the general situation of inverse distance weighting method; secondly, introduces the basis of geostatistics-semivariogram; thirdly, focuses on explaining the relevant theories and proofs of various Kriging interpolation methods; finally,Combined with the actual Kunming PM2.5 data, using R language to carry out Kriging interpolation.
【学位授予单位】：云南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：X513;O212

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