机构地区:[1]浙江海洋大学,浙江舟山316022 [2]成都信息工程大学,四川成都610225
出 处:《大气科学学报》2024年第5期809-825,共17页Transactions of Atmospheric Sciences
基 金:国家自然科学基金项目(42205100);四川省自然科学基金项目(2022NSFSC0982)。
摘 要:随着川南地区的经济发展,地面臭氧(O_(3))、细颗粒物(PM_(2.5))成为危害人体健康的主要污染物。本文分析了2015—2020年间川南地区(自贡、内江、泸州、宜宾)PM_(2.5)和O_(3)质量浓度的时间变化特征。以污染严重的自贡市为例,研究当地PM_(2.5)和O_(3)浓度与常见影响因素的相关性,并通过潜在源分析方法,探究污染物区域输送对自贡市的影响。结果表明:1)2015—2020年,川南地区年均PM_(2.5)质量浓度呈下降趋势,年均O_(3)质量浓度呈略上升趋势。月均PM_(2.5)质量浓度呈“U”型分布,7—8月质量浓度低,12—2月质量浓度高;月均O_(3)质量浓度呈“M”型分布,7、8月出现峰值,4、5月出现次峰值。2)自贡市PM_(2.5)质量浓度与CO、NO_(2)、SO_(2)质量浓度呈显著正相关,O_(3)质量浓度与气温、相对湿度分别呈显著正相关和负相关。3)自贡市PM_(2.5)和O_(3)的区域输送主要以局地气团为主,辐射和人为源排放强度影响气流轨迹中的PM_(2.5)和O_(3)质量浓度。PM_(2.5)和O_(3)的主要潜在源区位于四川盆地和贵州部分地区。With the economic development of southern Sichuan,ground-level ozone(O_(3))and particulate matter less than 2.5μm in aerodynamic diameter(PM_(2.5))have emerged as major pollutants detrimental to human health.In response to air pollution challenges,the Chinese Government implemented the“Air Pollution Prevention and Control Action Plan”in 2013 and the“Three-Year Action Plan to Win the Blue Sky Defense War”in 2018.This study evaluates the effectiveness of control measures for PM_(2.5) and O_(3) in southern Sichuan post-implementation and aims to provide a theoretical and scientific basis for the coordinated management of these pollutants.We analyze the temporal variations in PM_(2.5) and O_(3) concentrations in four cities in southern Sichuan(Zigong,Neijiang,Luzhou,and Yibin)from 2015 to 2020.Zigong,identified as the most polluted among the cities,serves as a case study to investigate the correlations between PM_(2.5) and O_(3) concentrations and various influencing factors.The study utilizes backward trajectory clustering,source emission intensity analysis,and potential source analysis to assess the impact of regional pollutant transport on Zigong.The results indicate that:1)From 2015 to 2020,the annual average concentration of PM_(2.5) in southern Sichuan showed a declining trend with a 38.9%reduction,while the annual average concentration of O_(3) showed a slight increasing trend,rising by 8.2%.These trends suggest that current control strategies are effective for PM_(2.5)but may be insufficient for O_(3),highlighting the need for enhanced O_(3) management strategies.2)The monthly average PM_(2.5) concentration exhibits a“U”shape,with the lowest values in July and August and the highest from December to February.In contrast,the monthly average O_(3) concentration exhibits an“M”shape,peaking in July and August with secondary peaks in April and May.These patterns suggest that PM_(2.5) control should be prioritized in winter,while O_(3) control should be emphasized in spring and summer.3)In Zigong,P
关 键 词:PM_(2.5)和O_(3) 时间变化特征 后向轨迹 潜在源贡献分析 浓度权重轨迹分析
分 类 号:X51[环境科学与工程—环境工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...