Estimating the spatiotemporal distribution of PM2.5 concentrations in Tianjin during the Chinese Spring Festival: Impact of fireworks ban

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Zhifei Liu, Kang Zheng, Shuai Bao, Yide Cui, Yirong Yuan, Chengjun Ge, Yixuan Zhang
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引用次数: 0

Abstract

off fireworks during the Spring Festival (SF) is a traditional practice in China. However, because of its environmental impact, the Chinese government has banned this practice completely. Existing evaluations of the effectiveness of firework prohibition policies (FPPs) lack spatiotemporal perspectives, making it difficult to comprehensively assess their effects on air quality. Consequently, this study used remote sensing technology based on aerosol optical depth and multiple variables, compared nine statistical learning methods, and selected the optimal model, transformer, to estimate daily spatiotemporal continuous PM concentration datasets for Tianjin from 2016 to 2020. The overall model accuracy reached a root mean square error of 15.30 μg/m³, a mean absolute error of 9.55 μg/m³, a mean absolute percentage error of 21.07%, and an R of 0.88. Subsequently, we analysed the variations in PM concentrations from three time dimensions–the entire year, winter, and SF periods–to exclude the impact of interannual variations on the experimental results. Additionally, we quantitatively estimated firework-specific PM concentrations based on time-series forecasting. The results showed that during the three years following the implementation of the FPPs, firework-specific PM concentrations decreased by 52.70%, 49.76%, and 86.90%, respectively, compared to the year before the implementation of the FPPs. Spatially, the central urban area and industrial zones are more affected by FPPs than the suburbs. However, daily variations of PM concentrations during the SF showed that high concentrations of PM produced in a short period will return to normal rapidly and will not cause lasting effects. Therefore, the management of fireworks needs to consider both environmental protection and the public's emotional attachment to traditional customs, rather than simply imposing a blanket ban on fireworks. We advocate improving firework policies in four aspects–production, sales, supervision, and control–to promote sustainable development of the ecological environment and human society.
估算春节期间天津 PM2.5 浓度的时空分布:烟花爆竹禁放的影响
春节期间燃放烟花爆竹是中国的传统习俗。然而,由于其对环境的影响,中国政府已全面禁止这一习俗。现有的烟花爆竹禁放政策效果评估缺乏时空视角,难以全面评估其对空气质量的影响。因此,本研究利用基于气溶胶光学深度和多变量的遥感技术,比较了九种统计学习方法,选择了最优模型--变压器,估算了天津市2016年至2020年的日时空连续可吸入颗粒物浓度数据集。模型总体精度达到均方根误差 15.30 μg/m³,平均绝对误差 9.55 μg/m³,平均绝对百分比误差 21.07%,R 值 0.88。随后,我们从三个时间维度--全年、冬季和三伏天--分析了可吸入颗粒物浓度的变化,以排除年际变化对实验结果的影响。此外,我们还根据时间序列预测对特定火场的可吸入颗粒物浓度进行了定量估算。结果表明,在实施火警预案后的三年中,与实施前一年相比,火警特异性 PM 浓度分别下降了 52.70%、49.76% 和 86.90%。从空间上看,中心城区和工业区比郊区受火力发电厂污染防治方案的影响更大。不过,自燃期间可吸入颗粒物浓度的日变化表明,短时间内产生的高浓度可吸入颗粒物会迅速恢复正常,不会造成持久影响。因此,烟花爆竹的管理需要同时考虑环境保护和公众对传统习俗的情感依恋,而不是简单地全面禁止燃放烟花爆竹。我们主张从生产、销售、监管、控制四个方面完善烟花爆竹政策,促进生态环境和人类社会的可持续发展。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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