2016—2020年常州市温室气体浓度及相关因素分析

Concentrations and Affecting Factors of Greenhouse Gases in Changzhou from 2016 to 2020

基于2016—2020年常州市主要温室气体的监测数据,采用长时间序列分析和相关性分析等方法,研究了二氧化碳(CO_(2))和甲烷(CH_(4))浓度的变化趋势,分析了CO_(2)和CH_(4)与污染物和气象要素的相关性,初步探讨了生物源和人为源的影响。结果表明:常州市大气CO_(2)和CH_(4)年平均浓度分别为416.4 ppm和1635.7 ppb,上升速率均高于青海瓦里关全球大气本底站同期水平。CO_(2)和CH_(4)浓度整体表现为夏季低、冬季高的季节变化,CO_(2)浓度在8月和12月分别达到最小和最大值,CH_(4)浓度7月和10月分别达到最小和最大值。夏季光合作用、植物生长等生物源对CO_(2)和CH_(4)浓度影响较大,冬季人类活动、工业生产等影响增加。CO_(2)浓度日变化呈现为早晚高、午后低的双峰结构,春季受光合作用影响有更明显的日变化规律。CH_(4)浓度表现单峰的日变化特征,秋季CH_(4)浓度最高,且日变化最明显,表明秋季生物源对CH_(4)影响更明显。CO_(2)和CH_(4)与NO_(2)、NOx、PM_(2.5)和PM_(10)均有较强的正相关性,两者与NO_(2)和NOx相关性最强,表明受机动车影响较大;与气象参数的相关性则明显减弱,在风速增大时,扩散条件有利于CO_(2)和CH_(4)浓度降低。

Based on the monitoring data of main greenhouse gases,variation characteristics of carbon dioxide(CO_(2))and methane(CH_(4))in Changzhou from 2016 to 2020 were studied by using such methods as long-term sequence analysis and correlation analysis.A correlation between the concentration of CO_(2)and CH_(4)and pollutants and meteorological parameters was analyzed,and the effects of biological sources and human activities were discussed preliminary.The results showed that the annual average concentrations of CO_(2)and CH_(4)were 416.4ppm and 1635.7ppb in Changzhou respectively,and the increasing rates were both higher than that in Waliguan during the same period.The CO_(2)and CH_(4)concentrations were lower and the biological sources such as photosynthesis and plant growth had a greater impact in summer.While the concentrations and impacts of human activities and industrial production increased in winter.The diurnal variation of CO_(2)concentration showed two peaks in the morning and evening.The diurnal variation of CH_(4)exhibited one peak and it was highest in autumn which indicated the greater impact of biological sources on CH_(4).CO_(2)and CH_(4)were significantly correlated with NO_(2),NOx,PM_(2.5) and PM_(10).The correlation with meteorological parameters was obviously weakened.When the wind speed increased,the diffusion conditions were conducive to the reduction of CO_(2)and CH_(4)concentrations.