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基于计算机科学计算的城市表层土壤重金属污染分析
引用本文:吕仕奎.基于计算机科学计算的城市表层土壤重金属污染分析[J].电子测试,2016(8).
作者姓名:吕仕奎
作者单位:军事交通学院,300161
摘    要:为了研究城市土壤中重金属污染问题,针对某城市统计数据,首先利用Kriging法对采集数据进行插值,结合matlab绘图功能绘制得到重金属元素在所研究城区的实际分布图,并且运用潜在生态危害评价方法获取了该城区内一些不同区域重金属的相应污染程度;然后运用Pearson相关分析理论科学有力分析了目前重金属污染累积形成的主要原因;最后采用(主成分)因子分析模型进一步研究了重金属污染物的传播形式,采用优化后聚类模型借助SPSS软件锁定了污染源的对应位置,较准确地给出目前土壤中所含重金属元素空间分布形式、污染程度、来源、原因及迁移转化等规律,为改善城市环境、整治重金属污染提供了丰富可靠的理论依据.

关 键 词:科学计算  Pearson相关分析法  因子分析法

Analysis of heavy metal pollution in urban surface soil based on Computer Science
Abstract:In orderto study the soil heavy metal pollution in the city,a city of statistical data, the first interpolation of data acquisition by using Kriging method,combined with the MATLAB drawing function to draw the actual distribution of heavy metal elements in the urban areas, and the potential ecological risk assessment methods to obtain the corresponding degree of heavy metal pollution in some different areas in the city then using the Pearson correlation analysis;theory of scientific analyses the main reasons of the pollution of heavy metals accumulation; finally, using factor analysis(principal component) model for further study of the heavy metal pollutants form of communication, using the optimized clustering model using SPSS software to lock the position corresponding to the pollution source,accurately presents the soil the contained heavy metals spatial distribution and pollution level,source,reason and migration Transformation rules, in order to improve the city environment, provides a theoretical basis for remediation of heavy metal pollution in rich and reliable.
Keywords:scientific computing  Pearson correlation analysis  factor analysis
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