摘要
利用2013—2021年山东环境监测站点逐时数据,统计了6项污染物的特征,探讨了颗粒物(PM)与臭氧(O_(3))时空分布,分析了气象条件和污染来源。结果表明:2013—2021年山东空气质量逐年转好,2021年PM_(2.5)年平均质量浓度较2013年下降了60.2%,O_(3)年平均浓度整体呈现逐年上升趋势,其他5项污染物浓度均降低,PM和O_(3)是影响山东空气质量的重要污染物。CO、NO_(2)、PM_(10)、PM_(2.5)和SO_(2)浓度呈现冬高夏低的单峰型特征,O_(3)浓度呈现夏高冬低的单峰型特征;空间分布呈现中西部高东部低的特征。PM_(2.5)气象条件评估指数和大气自净能力指数特征显示,2013—2021年有利的气象条件和减排共同作用使山东PM_(2.5)年平均浓度较2013年下降59μg·m^(-3),减排是PM_(2.5)年平均浓度下降的主因。来源解析表明,山东大部地区PM_(2.5)本省排放占比高,相比2019年,2021年本地排放占比有所降低,距离河北和河南越近的地区外源输入占比越大;2019年7个通道城市本地排放占31%~54%,2021年为19%~34%,鲁西北地区受外省输送影响最大。
The hourly data from environmental monitoring stations in Shandong province during 2013-2021 was used to characterize six pollutants,to explore the temporal and spatial distributions of particulate matter(PM)and ozone(O_(3)),and to analyze the meteorological conditions and sources of pollution.The results show that the air quality in Shandong province has improved year by year from 2013 to 2021.The annual mean mass concentration of PM_(2.5) in 2021 decreased by 60.2%compared to that in 2013.The annual mean concentration of O_(3) shows a rising trend year by year during 2013-2021,while the concentrations of the other five pollutants decrease.PM and O_(3) are the most important pollutants affecting the air quality in Shandong province.CO,NO_(2),PM_(10),PM_(2.5),and SO_(2) concentrations exhibit a unimodal pattern characterized by highs in winter and lows in summer;O_(3) concentrations show a unimodal pattern feature with the highest in summer and the lowest in winter.The spatial distribution is characterized by high pollutant concentrations in the central and western part of Shandong province and low concentrations in the eastern part of Shandong province.Environmental meteorological index and atmospheric self-purification capacity index characteristics show that the combination of favorable meteorological conditions and emission reduction during 2013-2021 led to a 59μg·m^(-3) decrease in the annual average concentration of PM_(2.5) in 2021 compared to that in 2013,with emission reduction as the main reason.Source apportionment shows that the proportion of PM_(2.5) from local emissions is high in most areas of Shandong province.The share of local emissions decreased in 2021 compared to that in 2019.An area is closer to Hebei and He′nan provinces,the share of exogenous transmission is the larger.Local emissions in the seven corridor cities accounted for 31%~54%in 2019,and 19%~34%in 2021,with northwest Shandong province being the most affected by external transport.
作者
崔金梦
丛春华
郑怡
陈金敏
杨明
王继康
刘洪利
董旭光
CUI Jinmeng;CONG Chunhua;ZHENG Yi;CHEN Jinmin;YANG Ming;WANG Jikang;LIU Hongli;DONG Xuguang(Key Laboratory for Meteorological Disaster Prevention and Mitigation of Shandong,Ji′nan 250031,China;Shandong Meteorological Observatory,Ji′nan 250031,China;National Meteorological Centre,Beijing 100081,China;Chinese Academy of Meteorological Sciences,Beijing 100081,China;Shandong Climate Center,Ji′nan 250031,China)
出处
《气象与环境学报》
2024年第3期46-54,共9页
Journal of Meteorology and Environment
基金
山东省自然科学基金项目(ZR2020ZD21)资助。
关键词
污染物
气象条件
源解析
Pollutants
Meteorological condition
Source apportionment
