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中国城市 SO 和 NO 污染的时间动态及其驱动因素的贡献。

Temporal dynamics of SO and NO pollution and contributions of driving forces in urban areas in China.

机构信息

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.

出版信息

Environ Pollut. 2018 Nov;242(Pt A):239-248. doi: 10.1016/j.envpol.2018.06.085. Epub 2018 Jun 30.

Abstract

SO and NO pollution have significantly reduced the air quality in China in past decades. Haze and acid rain have negatively affected the health of animals, plants, and human beings. Documented studies have shown that air pollution is influenced by multiple socioeconomic driving forces. However, the relative contributions of these driving forces are not well understood. In this study, using the structural equation model (SEM), we quantified the contributing effects of various forces driving air pollution in 2015 in prefecture-level cities of China. Our results showed that there has been significant control of SO pollution in the past 20 years. The annual average SO concentration has dropped from 83 μg/m in 1996 to 21 μg/m in 2015, while the annual average NO concentration has increased from 47 μg/m in 1996 to 58 μg/m in 2015. We evaluated data on the annual average concentrations of SO, which in some cities may mask the differences of SO concentrations between different months. Hence, SO pollution should continue to be controlled in accordance with existing policies and regulations. However, we suggest that NO should become the new focus of air pollution prevention and treatment. The SEM results showed that industrial scale, city size, and residents' activities have a significant impact on NO pollution. Among these, industrial scale had the highest contribution. The findings from our study can provide a theoretical basis for the formulation of NO pollution control policy in China.

摘要

SO 和 NO 污染在过去几十年中显著降低了中国的空气质量。雾霾和酸雨对动植物和人类的健康产生了负面影响。有记录的研究表明,空气污染受到多种社会经济驱动因素的影响。然而,这些驱动因素的相对贡献尚不清楚。在这项研究中,我们使用结构方程模型(SEM),量化了 2015 年中国地级市空气污染的各种驱动因素的贡献效应。研究结果表明,过去 20 年来,SO 污染得到了显著控制。年平均 SO 浓度已从 1996 年的 83μg/m 下降到 2015 年的 21μg/m,而年平均 NO 浓度已从 1996 年的 47μg/m 增加到 2015 年的 58μg/m。我们评估了 SO 年平均浓度数据,在某些城市,这可能掩盖了不同月份之间 SO 浓度的差异。因此,应根据现有政策和法规继续控制 SO 污染。然而,我们建议将 NO 作为空气污染防治的新重点。SEM 结果表明,工业规模、城市规模和居民活动对 NO 污染有显著影响。在这些因素中,工业规模的贡献最大。本研究的结果可为中国制定 NO 污染控制政策提供理论依据。

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