| 台州市环境空气质量与气象条件分析及神经网络预报 |
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| 引用本文： | 赵利刚.台州市环境空气质量与气象条件分析及神经网络预报[J].安徽农业科学,2009,37(18):8631-8633. |
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| 作者姓名： | 赵利刚 |
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| 作者单位： | 南京大学大气科学系,江苏南京,210093 |
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| 摘 要： | 首先对浙江台州市近3年空气污染物PM10、SO2和NO2浓度的时间分布进行统计分析，并分析气象条件包括气压、相对湿度（高空露点温度）、气温、风速和大气稳定性等变化与空气污染物浓度扩散的相关关系，得到与污染物浓度相关的几个因子，用多元回归法和径向基神经网络（RBF）进行建模，并对2003年9-10月进行试报，取得较好效果，可作为台州市环境空气污染日平均浓度预报的参考手段。
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| 关 键 词： | 时间分布 空气质量预报 多元回归 RBF神经网络 |
Analysis of Atmosphere Quality and Weather Condition and Expectation of Neural Network in Taizhou City |
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| ZHAO Li-gang.Analysis of Atmosphere Quality and Weather Condition and Expectation of Neural Network in Taizhou City[J].Journal of Anhui Agricultural Sciences,2009,37(18):8631-8633. |
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| Authors: | ZHAO Li-gang |
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| Institution: | ZHAO Li-gang (Department of Atmosphere Science, Nanjing University, Nanjing, Jiangsu 210093 ) |
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| Abstract: | The time distribution of air pollutants PM10,SO2 and NO2 in the past three years in Taizhou City had been evaluated and analyzed.Moreover,there was an analysis about relation between proliferation of air pollutant concentration and weather condition including changes of pressure,relative humidity(dew point at high temperature),air temperature,wind speed and atmospheric stability.Through the analysis,we can attain several factors correlated with pollutants' concentration and establish models with multiple regression method and radial basis function neural network.The atmosphere condition on September to October in 2003 was reported,which can be the reference tools of ambient air pollution forecasting daily average concentration in Tanzhou. |
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| Keywords: | Time distribution Air quality forecasting Multiple regressions RBF neural network |
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