摘要
根据空气质量指数(AQI)高频数据,从污染物等级分布、年均污染物浓度变化和污染物日变化规律等视角,对宁夏沿黄城市群污染季PM_(2.5)污染规律进行分析,并通过Apriori算法对PM_(2.5)同其他大气污染物之间的关联规则进行挖掘.结果表明,宁夏沿黄城市群污染季PM_(2.5)质量浓度达标率约为81%,且年均污染水平逐年下降,每年12月和次年1月是城市群PM_(2.5)质量浓度的峰值期;城市群PM_(2.5)的质量浓度日变化呈现出明显的双峰特征,双峰值均在62μg/m~3左右;在关联规则挖掘方面,发现14条高置信度、高等级PM_(2.5)规则,且规则的置信度随PM_(2.5)污染级别的降低而下降.根据关联规则发现的结果,并考虑大气污染物的同源性特征,宁夏沿黄城市群污染季SO_(2)的质量浓度及其致因值得重点关注,城市群污染季PM_(2.5)治理可从减少SO_(2)入手.
The article analyzed the pollution law of PM_(2.5)pollution in the pollution season of urban agglomeration along the Yellow River in Ningxia from perspectives of pollutant level distribution,annual average pollutant concentration change and pollutants daily variation law according to the high frequency data of AQI,and mined the association rules between PM_(2.5)and other atmospheric pollutants with the APRIORI algorithm.The results show that the compliance rate of PM_(2.5)concentration in the pollution season of urban agglomeration along the Yellow River in Ningxia is about 81%,the annual average pollution level is decreasing year by year,and the peak period of PM_(2.5)mass concentration in urban agglomeration is December of every year and January of every next year;the intraday fluctuations of PM_(2.5)in urban agglomeration show obvious bimodal characteristics,and both peaks are around 62μg/m3;in the aspect of association rule mining,14 high-confidence and high-level PM_(2.5)rules were found with APRIORI algorithm and the confidence level of rules decreased with the decrease of PM_(2.5)pollution level.According to the results found by the association rules,and the consideration on the homology characteristics of atmospheric pollutants,the mass concentration of SO_(2) in the pollution season of urban agglomeration along the Yellow River in Ningxia and its cause are worthy of attention.The PM_(2.5)treatment of urban cluster pollution season can start from the source of SO_(2).
作者
胡秋灵
郭帅
Hu Qiuling;Guo Shuai(International Business School of Shaanxi Normal University,Xi’an 710119,China)
出处
《宁夏大学学报（自然科学版）》
CAS
2021年第2期219-225,共7页
Journal of Ningxia University(Natural Science Edition)
基金
教育部人文社会科学研究基金资助项目(15XJA910001)。
