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灰色系统在大气质量预测中的应用
引用本文:汪伟,张江山,钱伟,钟羡芳.灰色系统在大气质量预测中的应用[J].福建师范大学学报(自然科学版),2008,24(1):86-90.
作者姓名:汪伟  张江山  钱伟  钟羡芳
作者单位:1. 福建师范大学化学与材料学院,福建,福州,350007
2. 福建师范大学地理科学学院,福建,福州,350007
基金项目:福建省自然科学基金资助项目(D0510011)
摘    要:把大气环境看作一个灰色系统,联系重庆市大气环境的实际情况,利用灰色关联分析判断出重庆市2000-2005年间大气污染物中主要污染因子为PM10和SO2,同时建立灰色模型对其进行质量预测.短期预测结果表明大气PM10和SO2浓度呈下降趋势,其浓度分别到2009年和2012年可达国家二级标准.

关 键 词:大气环境  灰色系统  灰色关联分析  污染因子
文章编号:1000-5277(2008)01-0086-05
收稿时间:2007-01-17
修稿时间:2007年1月17日

Application of Grey System in Forecasting Atmospheric Quality
WANG Wei,ZHANG Jiang-shan,QIAN Wei,ZHONG Xian-fang.Application of Grey System in Forecasting Atmospheric Quality[J].Journal of Fujian Teachers University(Natural Science),2008,24(1):86-90.
Authors:WANG Wei  ZHANG Jiang-shan  QIAN Wei  ZHONG Xian-fang
Abstract:The atmosphere environment was considered as a grey system.According to the actual situation of the atmosphere environment in Chongqing,the meteorologic data was analysed to get main pollution factors under the grey correlation method.The results showed that the main factors were PM10 and SO2.Further,the environment quality was predicted by a grey forecast model.The results showed that concentrations of PM10 and SO2 in the atmosphere of Chongqing were declining,and the concentration of PM10 would be up to class two of the national standard in 2009,and SO2 is in 2012.
Keywords:atmosphere environment  grey system  grey correlation analysis  pollution factors
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