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统计分析方法在大气环境监测数据符合性分析中的应用探讨
引用本文:刘新峰,袁惠,杨军,俞江.统计分析方法在大气环境监测数据符合性分析中的应用探讨[J].四川环境,2012,31(2):36-39.
作者姓名:刘新峰  袁惠  杨军  俞江
作者单位:1. 中国石化中原油田技术监测中心,河南濮阳,457001
2. 中国石化中原油田石油化工总厂,河南濮阳,457001
摘    要:通过汇总分析气井的试气环境监测数据,选择AERMOD模式,运用EIAProA软件模拟预测试气SO2浓度,对实测和预测数据进行F检验和t检验,验证其方差是否符合显著性要求,同时检验其相关系数、系统均方差和非系统均方差,结果表明符合指数,满足论文预设的70%的要求。

关 键 词:符合指数  相关系数  系统均方差

Application of Statistical Analysis for Data Compliance Analysis of Atmosphere Environmental Monitoring
LIU Xin-feng,YUAN Hui,YANG Jun,YU Jiang.Application of Statistical Analysis for Data Compliance Analysis of Atmosphere Environmental Monitoring[J].Sichuan Environment,2012,31(2):36-39.
Authors:LIU Xin-feng  YUAN Hui  YANG Jun  YU Jiang
Institution:1(1.Technology Monitoring Center of Zhongyuan Oil Field,SINOPEC,Puyang,Henan 457001,China; 2.General Petrochemical Works of Zhongyuan Oil Field,SINOPEC,Puyang,Henan 457001,China)
Abstract:Based on macro analysis of environmental monitoring data at gas wells,AERMOD model is adopted and software EIAProA is used to simulate SO2 concentration.F-test and t-test are conducted for the data from both monitoring and simulation to verify whether their variances meet the requirements of significance.Meanwhile the correlation coefficient,system mean square error and unsystematic mean square error are tested.The results show that fitness reaches 70% that is objective of this study.
Keywords:Fitness  correlation coefficient  system mean square error
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