Cai Longyan, Zhuang Mazhan, Ren Yin
Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Xiamen Institute of Environmental Science, Xiamen, CN, China.
Int J Environ Health Res. 2022 Jan;32(1):1-17. doi: 10.1080/09603123.2020.1720620. Epub 2020 Feb 4.
Understanding the spatio-temporal characteristics of air pollutants is essential to improving air quality. One aspect is the question of whether green spaces can reduce air pollutant concentrations. However, previous studies on this issue have reported mixed results. This study analyzed the spatio-temporal characteristics of NO, PM and Oin Fujian Province, Southeast China in 2015. In order to reduce uncertainties in the conclusions drawn, the effects landscape metrics describing green spaces have on air pollutants have been analyzed using Pearson correlation analysis at six different spatial scales for the four seasons, considering the influence of meteorological conditions. The results show that PM and Oare major pollutants whose relative importance varies with the seasons. Significant differences in pollutant concentrations were observed in suburban and urban areas, highlighting the importance of ensuring a reasonable spatial distribution of monitoring stations. Moreover, significant correlations between air pollutants and green space landscape patterns during the four seasons were found, revealing increased air pollutant concentrations with increasing landscape fragmentation and reduced connectivity and aggregation. This probably indicates that interconnected green spaces have the potential to improve air quality. Utilizing green space function regulations can alleviate NO and PMpollution effectively, but it is still difficult to reduce O concentrations because green spaces are likely to not only serve as sinks for O but can also promote O formation.
了解空气污染物的时空特征对于改善空气质量至关重要。其中一个方面是绿地是否能够降低空气污染物浓度的问题。然而，此前关于该问题的研究结果不一。本研究分析了2015年中国东南部福建省的一氧化氮、颗粒物和臭氧的时空特征。为减少所得结论中的不确定性，考虑到气象条件的影响，利用皮尔逊相关分析在六个不同空间尺度上分析了描述绿地的景观指标对空气污染物的影响，涉及四个季节。结果表明，颗粒物和臭氧是主要污染物，其相对重要性随季节变化。在郊区和城区观察到污染物浓度存在显著差异，这凸显了确保监测站合理空间分布的重要性。此外，发现四个季节期间空气污染物与绿地景观格局之间存在显著相关性，表明随着景观破碎化加剧以及连通性和聚集性降低，空气污染物浓度增加。这可能表明相互连通的绿地具有改善空气质量的潜力。利用绿地功能调控能够有效缓解一氧化氮和颗粒物污染，但由于绿地不仅可能作为臭氧的汇，还可能促进臭氧形成，因此降低臭氧浓度仍然困难。
