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探讨中国在环境治理下空气污染与气象条件的关系。

Exploring the relationship between air pollution and meteorological conditions in China under environmental governance.

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing, 100101, China.

Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China.

出版信息

Sci Rep. 2020 Sep 3;10(1):14518. doi: 10.1038/s41598-020-71338-7.

Abstract

Extensive studies have been carried out on the impact of human activities on air pollution, but systematic investigation on the relationship between air pollutant and meteorological conditions is still insufficient, especially in the context of China's site scale and recent comprehensive environmental pollution control. Here, we used a spatial interpolation technology to establish a set of data sets of pollutants and meteorological elements that are spatially matched at 896 stations in China to reveal the air pollutant-meteorological interactions between 2014 and 2019. We found that air pollution and meteorological elements have obvious seasonal and regional characteristics. Over the last few years, the concentration of most air pollutants in China has dropped significantly except for O. The increase in O concentration was closely related to the decrease of particulate matter and NO concentration. The concentration of most air pollutants was affected by meteorological conditions, but the level of impact depended on the type of pollutants and varied across regions. The concentration of air pollutants at most stations was significantly negatively correlated with wind speed, precipitation and relative humidity, but positively correlated with atmospheric pressure. As the latitude increases, the impact of temperature on the concentration of air pollutants becomes more obvious. To effectively control air pollution, it is further urgent to reveal the relationship between air pollution and meteorological conditions based on long-term daily or real-time data.

摘要

已对人类活动对空气污染的影响进行了广泛的研究,但对空气污染物与气象条件之间的关系的系统调查仍不够充分,特别是在中国的场地规模和最近的综合环境污染控制背景下。在这里,我们使用空间插值技术,在中国的 896 个站点上建立了一套污染物和气象要素的数据集,这些数据集在空间上是匹配的,以揭示 2014 年至 2019 年期间的空气污染物-气象相互作用。我们发现,空气污染和气象要素具有明显的季节性和区域性特征。在过去的几年中,除了 O 之外,中国大多数空气污染物的浓度都显著下降。O 浓度的增加与颗粒物和 NO 浓度的降低密切相关。大多数空气污染物的浓度受气象条件的影响,但影响程度取决于污染物的类型,并因地区而异。大多数站点的空气污染物浓度与风速、降水和相对湿度呈显著负相关,但与气压呈正相关。随着纬度的增加,温度对空气污染物浓度的影响变得更加明显。为了有效控制空气污染,根据长期的每日或实时数据进一步揭示空气污染与气象条件之间的关系更为紧迫。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3b5/7471117/a47f2f64c49d/41598_2020_71338_Fig1_HTML.jpg

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