Asymmetric trends in sulfates, nitrates, and ammonium in PM2.5 of Chengdu: Insights from five years of hourly observations

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES Urban Climate Pub Date : 2024-11-01 DOI:10.1016/j.uclim.2024.102190
Qian Jin , Miao Feng , Yunfei Liu , Qi Liu , Siyuan Zhang , Dongwei Gui
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Abstract

Sulfate, nitrate, and ammonium (SNA) are critical components of PM2.5, posing significant health risks and playing a vital role in air pollution formation in megacities. Long-term monitoring and high-time resolution temporal data of these pollutants are essential for identifying potential sources as well as evaluating and planning control measures. This study analyzes a five-year real-time dataset of PM2.5 and SNA in Chengdu, southwest China, with a focus on the effects of human activities, particularly during holidays, on air pollution. We examined annual and seasonal trends, weekend and holiday effects, meteorological influences, and regional sources of these pollutants using Generalized Additive Model, Conditional Probability Function, and Concentration Weighted Trajectory methods. The results indicate a 12.34 % reduction in PM2.5 concentrations from 2017 to 2021, with limited improvement compared to other megacities. Holiday periods, such as Labor Day and Dragon Boat Festival, were associated with significant concentration spikes in PM2.5, sulfate, nitrate, and ammonium due to increased human activities and biomass burning. Dewpoint temperature was identified as the most significant meteorological factor influencing SNA formation with a nonlinear effect. These findings highlight the need for targeted pollution control measures during holiday periods to mitigate short-term pollution spikes.
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成都 PM2.5 中硫酸盐、硝酸盐和铵的不对称趋势:五年每小时观测的启示
硫酸盐、硝酸盐和铵(SNA)是 PM2.5 的关键成分,对健康构成重大风险,并在特大城市空气污染的形成中发挥着重要作用。这些污染物的长期监测和高时间分辨率时间数据对于确定潜在来源以及评估和规划控制措施至关重要。本研究分析了中国西南部成都 PM2.5 和 SNA 的五年实时数据集,重点关注人类活动(尤其是节假日期间)对空气污染的影响。我们使用广义相加模型法、条件概率函数法和浓度加权轨迹法研究了这些污染物的年度和季节趋势、周末和节假日效应、气象影响和区域来源。结果表明,从 2017 年到 2021 年,PM2.5 浓度下降了 12.34%,与其他特大城市相比改善有限。劳动节和端午节等节假日期间,由于人类活动和生物质燃烧增加,PM2.5、硫酸盐、硝酸盐和铵的浓度显著飙升。露点温度是影响 SNA 形成的最重要气象因素,具有非线性效应。这些发现凸显了在节假日期间采取有针对性的污染控制措施以缓解短期污染峰值的必要性。
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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