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Analysis of Air Pollutants in Xiong’an New Area Based on MATLAB Grey Model

机译:基于MATLAB灰色模型的雄安新区大气污染物分析。

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The purpose of this paper is to study the air pollutants in Xiong’an New Area based on MATLAB grey model [1] . From 2011 to 2016, the results of sulfur dioxide (SO_(2)), nitrogen dioxide (NO_(2)) and inhalable particulate matter (PM_(1O)) detected at monitoring points in the three counties of Xiong’an were analyzed. According to the national environmental air quality standard [2] , the air quality in Xiong’an New Area was reasonably evaluated based on grey model in MATLAB. Judging from the weight of pollution factors in the model, sulfur dioxide (SO_(2)) is the controlling factor of air quality in Xiong’an New Area, and the weight of nitrogen dioxide (NO_(2)) gradually increases. The main sources of the three pollutants were obtained by comprehensive data analysis, and a grey model was established according to the mass concentration of the main air pollutants, and the grey forecasting model was tested. The experimental results show that the model can be effectively applied to the forecasting of ambient air quality. On this basis, the present situation of atmospheric environmental quality in Xiong’an New Area and suggestions for improvement are obtained.
机译:本文的目的是基于MATLAB灰色模型[1]研究雄安新区的大气污染物。 2011年至2016年,分析了雄安三个县监测点的二氧化硫(SO_(2)),二氧化氮(NO_(2))和可吸入颗粒物(PM_(1O))的结果。根据国家环境空气质量标准[2],基于MATLAB中的灰色模型对雄安新区的空气质量进行了合理评估。从模型中污染因子的权重来看,二氧化硫(SO_(2))是雄安新区空气质量的控制因素,二氧化氮(NO_(2))的重量逐渐增加。通过综合数据分析,获得了三种污染物的主要来源,并根据主要空气污染物的质量浓度建立了灰色模型,并对灰色预测模型进行了检验。实验结果表明,该模型可以有效地应用于环境空气质量的预测。在此基础上,得出了雄安新区大气环境质量的现状及改进建议。

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