CAJ | 학술논문

通过分析保定市六个地区2014.4.8-2014.7.8连续13周的监测数据，运用时间序列分析方法，借助 SPSS软件对未来2周即2014.7.9-2014.7.22空气污染物的变化情况进行了预测，通过 Ljung-Box Q检验以及拟合统计量 R方说明 ARIMA模型预测效果很好，能用来对未来空气污染物的变化规律进行很好的描述，具有推广价值。
통과분석보정시륙개지구2014.4.8-2014.7.8련속13주적감측수거，운용시간서렬분석방법，차조 SPSS연건대미래2주즉2014.7.9-2014.7.22공기오염물적변화정황진행료예측，통과 Ljung-Box Q검험이급의합통계량 R방설명 ARIMA모형예측효과흔호，능용래대미래공기오염물적변화규률진행흔호적묘술，구유추엄개치。
The research conducted prediction on changes of atmosphere pol ution during July 9, 2014-July 22, 2014 with SPSS based on monitored data of O3 in 13 successive weeks from 6 sites in Baoding City and demonstrated prediction effect of ARIMA model is good by Ljung-Box Q-test and R2, and the model can be used for prediction on future atmosphere pol utant changes.