PM2.5污染的本地、运输和暴露风险的变化:来自大型沿海城市长期监测数据的见解

Pavanaditya Badida, J. Jayaprakash
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摘要

城市空气质量受到本地污染源和外部污染源的双重影响。新冠肺炎疫情的爆发导致各级政府实施了严格的封锁。为了遏制疾病的传播,美国于2020年实施了国家级封锁(NLL),并于2021年实施了国家级封锁(SLL)。封锁的一个直接结果是,各个城市群的空气质量得到了显著改善。本研究调查了国家和地区封锁对印度第四大城市群金奈大都市区不同城市形态单位PM2.5水平的影响。在6年期间(2016-2021年),金奈三个监测点的每小时PM2.5测量数据被分为封锁前阶段(PLP)(2016-2019年)、NLL和SLL,以分析PM2.5水平的减少。采用条件二元概率函数(CBPF)对局部PM2.5源进行研究,采用浓度加权轨迹(CWT)和聚类分析对运输PM2.5源进行评估。结果表明:与PLP相比,NLL和SLL期间,金奈都市圈PM2.5分别下降了33.45%和48.95%。Mann - Kendall检验结果显示,Manali监测点、Alandur监测点和Velachery监测点的PM2.5下降趋势有统计学意义(p < 0.001)。CBPF显示,在选定的时间框架内,所有地点的当地贡献有所不同。CWT和聚类分析显示,与PLP相比,NLL和SLL期间输送的PM2.5减少。利用综合暴露反应(IER)模型函数进行的健康风险评估显示,在6年期间,各健康终点的超额死亡率呈下降趋势。在NLL和SLL期间,观察到超额死亡率病例急剧下降。结果表明,在降低金奈大都市区PM2.5水平方面,邦一级实施的封锁比国家一级实施的封锁更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variations in local, transported, and exposure risks of PM2.5 pollution: Insights from long-term monitoring data in mega coastal city
Abstract Urban air quality is influenced by both local and external sources of pollution. The outbreak of Coronavirus COVID-19 had led to implementation of stringent lockdowns at different levels of governance. National Level Lockdown (NLL) was imposed in 2020 and State Level Lockdown (SLL), in 2021 to curb the spread of disease. A direct consequence of lockdown is the dramatic improvement of air quality in various urban agglomerations. The present study investigated the effects of national and regional lockdown on PM2.5 levels at various urban morphological units in the Chennai Metropolitan Region, the fourth-largest urban conglomeration in India. Hourly measurements of PM2.5 over a 6-year period (2016–2021) at three monitoring sites in Chennai were segregated into Pre-lockdown Phase (PLP) (2016–2019), NLL, and SLL to analyze reductions in PM2.5 levels. Local PM2.5 sources were investigated using Conditional Bivariate Probability Function (CBPF) whereas transported PM2.5 was evaluated using Concentration Weighted Trajectory (CWT) and Cluster Analysis. The results showed that PM2.5 in Chennai Metropolitan Region reduced by 33.45% during NLL and 48.95% during SLL when compared to PLP. Mann Kendall Test showed a statistically significant (p < .001) decreasing PM2.5 trend at Manali Monitoring Site, Alandur Monitoring Site, and Velachery Monitoring Site. CBPF showed variations in local contributions for all sites during the selected time frames. CWT and Cluster analysis showed reductions in transported PM2.5 during NLL and SLL when compared to PLP. Health Risk Assessment using Integrated Exposure Response (IER) model function showed a decreasing trend of excess mortality for various health endpoints over 6-year period. Steep reductions in excess mortality cases were observed during NLL and SLL. The results show that lockdown implemented at the state level proved to be more effective than the national level in reducing PM2.5 levels over Chennai metropolitan Region.
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