广州化工
廣州化工
엄주화공
Guangzhou Chemical Industry
2015年
17期
162-164
,共3页
PM2. 5%AQI指数%污染特征%Pearson相关系数
PM2. 5%AQI指數%汙染特徵%Pearson相關繫數
PM2. 5%AQI지수%오염특정%Pearson상관계수
PM2.5%Air Quality Index ( AQI)%pollution characteristics%Pearson correlation coefficients
为了分析空气中PM2.5分布和演化规律，以苏州地区的实测数据进行了分析与建模。首先，用Pearson相关系数分析法确定了各污染物与PM2.5量间相关关系的具体表达形式，描述了其与PM2.5的数量规律。然后，针对苏州市PM2.5的季节分布情况，分析了苏州地区PM2.5含量随时间的变化曲线来说明其分布的时间特征。在进行污染评估时，我们将污染状况进行量化，结合数据得到苏南地区的污染状况。最后，我们运用回归模型结合PM2.5的变化情况，对高浓度PM2.5可能性进行预测，并且提出应急措施，找到该地区的重度污染和可能安全的区域。
為瞭分析空氣中PM2.5分佈和縯化規律，以囌州地區的實測數據進行瞭分析與建模。首先，用Pearson相關繫數分析法確定瞭各汙染物與PM2.5量間相關關繫的具體錶達形式，描述瞭其與PM2.5的數量規律。然後，針對囌州市PM2.5的季節分佈情況，分析瞭囌州地區PM2.5含量隨時間的變化麯線來說明其分佈的時間特徵。在進行汙染評估時，我們將汙染狀況進行量化，結閤數據得到囌南地區的汙染狀況。最後，我們運用迴歸模型結閤PM2.5的變化情況，對高濃度PM2.5可能性進行預測，併且提齣應急措施，找到該地區的重度汙染和可能安全的區域。
위료분석공기중PM2.5분포화연화규률，이소주지구적실측수거진행료분석여건모。수선，용Pearson상관계수분석법학정료각오염물여PM2.5량간상관관계적구체표체형식，묘술료기여PM2.5적수량규률。연후，침대소주시PM2.5적계절분포정황，분석료소주지구PM2.5함량수시간적변화곡선래설명기분포적시간특정。재진행오염평고시，아문장오염상황진행양화，결합수거득도소남지구적오염상황。최후，아문운용회귀모형결합PM2.5적변화정황，대고농도PM2.5가능성진행예측，병차제출응급조시，조도해지구적중도오염화가능안전적구역。
In order to analyze the distribution and evolution of PM2. 5 in the air, the measured data of Suzhou was used to analyze and modeling. Pearson correlation coefficient analysis was used to determine the specific form of expression between the amounts of pollutants associated with PM2. 5 relations, and a number of laws between the various pollutants and PM2. 5 were described. For seasonal distribution of PM2. 5 in Suzhou City, the content of PM2. 5 curve over time in the Suzhou region was analyzed to illustrate the temporal characteristics of their distribution. During pollution assessment, combined with data obtained pollution in South, we will the pollution situation was quantified. Regression model was used to combine with the change of PM2. 5. The possibility of high concentrations of PM2. 5 was predicted, and emergency measures were proposed to find heavily polluted areas of the region and possible security area.
