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The Prediction of Nitrogen Dioxide from Atmosphere in Changsha City Based on Grey Model

机译:基于灰色模型的长沙市大气预测二氧化氮

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Taking nitrogen dioxide from atmosphere samples in Changsha as research object, GM (1, 1) dynamic prediction model of pollutants was built based on grey system theory and automatic monitoring data (nitrogen dioxide) of 2011. Pollution status of the next year was predicted by the model. Through model testing, the model can meet actual demands with its precision level is at the second and the third rank. Comparison between the predicted data and the measured ones shows that the higher the precision level is, the more accurate the model prediction will be. It is also obtained that the GM (1, 1) dynamic prediction model not only possesses potential value for further application, but also can provide the basis of the formulation of the local regional environmental planning and implementing measures related to atmospheric pollution control.
机译:从长沙中的大气样品中氮氧化物作为研究对象,基于灰色系统理论和2011年的自动监测数据(氮二氧化氮)构建了GM(1,1)的动态预测模型。预测了明年的污染状况该模型。通过模型测试,该模型可以满足其精密级别的实际需求是在第二个和第三个等级。预测数据和测量的数据之间的比较显示了精度级别越高,模型预测越准确。还可以获得GM(1,1)动态预测模型不仅具有进一步应用的潜在价值,而且还可以提供当地区域环境规划和实施与大气污染控制相关的措施的基础。

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