本文選題：空氣質(zhì)量 + 信度檢驗(yàn)　； 參考：《實(shí)驗(yàn)室研究與探索》2016年11期

【摘要】：為提高空氣污染物的可視化效果與對(duì)比度,更加直觀地展示氣象特征對(duì)空氣污染物濃度的影響,首先對(duì)寧波市的PM2.5污染物濃度進(jìn)行周期分析,提取PM_(2.5)污染物季節(jié)變化因素;然后對(duì)寧波市氣象數(shù)據(jù)進(jìn)行可信度檢驗(yàn),信度檢驗(yàn)結(jié)果 90%的置信區(qū)間;接著對(duì)寧波市的風(fēng)力、風(fēng)向數(shù)據(jù)在python環(huán)境下進(jìn)行極坐標(biāo)變換并進(jìn)行風(fēng)向可視化分析;最后利用python對(duì)PM_(2.5)、PM_(10)、SO_2、NO_2、O_3以及CO進(jìn)行三維可視化展示。結(jié)果表明,可以直接利用空氣質(zhì)量數(shù)據(jù)和氣象數(shù)據(jù),通過信度檢驗(yàn)、極坐標(biāo)變換和頻率比對(duì)進(jìn)行空氣質(zhì)量的可視化對(duì)比和相關(guān)性分析。
[Abstract]:In order to improve the visualization and contrast of air pollutants and show the influence of meteorological characteristics on the concentration of air pollutants more intuitively, the seasonal variation factors of pollutants were extracted from the periodic analysis of the concentration of PM2.5 pollutants in Ningbo. Then the credibility of the meteorological data of Ningbo is tested, the confidence interval of the reliability test result is 90%, and then the wind and wind direction data of Ningbo city are transformed by polar coordinates under the python environment and the wind direction is visualized. Finally, python is used to visualize the three dimensional visualization of PM2. 5 and PM10 / so\\\? The results show that air quality data and meteorological data can be directly used to carry out visual contrast and correlation analysis of air quality through reliability test polar coordinate transformation and frequency comparison.
【作者單位】： 寧波工程學(xué)院理學(xué)院;寧波工程學(xué)院外事處;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(40901241) 浙江省公益技術(shù)應(yīng)用研究計(jì)劃項(xiàng)目(2015C31154) 浙江省哲學(xué)社會(huì)科學(xué)規(guī)劃基金項(xiàng)目(15NDJC077YB) 寧波市軟科學(xué)項(xiàng)目(2014A10013) 浙江省2015年教育科學(xué)規(guī)劃研究課題(2015SCG106) 寧波市2016年教育科學(xué)規(guī)劃研究課題(YGH016)資助 寧波市2014年教育科學(xué)規(guī)劃研究課題(YGH024)資助
【分類號(hào)】：X51;X16

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