城市绿地和道路距离对市内学校室内交通相关 PM2.5、NO2 和 BC 暴露的影响

IF 4.1 3区医学 Q2 ENVIRONMENTAL SCIENCES

Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-04-13 DOI:10.1038/s41370-024-00669-8

V. N. Matthaios, I. Holland, C. M. Kang, J. E. Hart, M. Hauptman, J. M. Wolfson, J. M. Gaffin, W. Phipatanakul, D. R. Gold, P. Koutrakis

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引用次数: 0

摘要

背景由于已知交通相关空气污染会对健康产生不利影响，同时绿化可能会给健康带来益处，因此更仔细地研究这些因素对城市学校室内空气质量的影响非常重要。本研究调查了道路邻近度和城市绿化率与市内学校室内与交通相关的细颗粒物（PM2.5）、二氧化氮（NO2）和黑碳（BC）之间的关系。方法在 74 所学校的室内和一个中心城区的室外测量了细颗粒物（PM2.5）、二氧化氮（NO2）和黑碳（BC），为期 10 年。使用归一化植被指数（NDVI）估算了270米和1230米缓冲区的季节性城市绿化率。结果分析表明，与室内交通相关的 PM2.5、NO2 和 BC 的线性下降率分别为 60%、35% 和 22%。结果进一步显示，学校周围 270 米缓冲区的绿化程度与室内交通相关 PM2.5 的降低有显著相关性（p < 0.05）：-0.068 (95% CI: -0.124, -0.013)、NO2：-0.139（95% CI：-0.185，-0.092），以及 BC：-0.060（95% CI：-0.115，-0.005）。在距离学校较远的地方（缓冲区 1230 米），这些关联性与周围绿化的关联性更强（PM2.5：-0.101 (95% ci: -0.115, -0.005)）：-0.101 (95% CI: -0.156, -0.046) No2：PM2.5: -0.101 (95% CI: -0.156, -0.046) No2: -0.122 (95% CI: -0.169, -0.075) BC：-0.080（95% CI：-0.136，-0.026）。在对地区污染和气象条件进行充分调整后，这些反向关联性更强。影响声明全球超过 90% 的 15 岁以下儿童暴露于超过世界卫生组织指导标准的高浓度空气污染中。该研究调查了城市基础设施和绿化，尤其是绿地和道路邻近性，对城市内学校室内暴露于与交通相关的 PM2.5、二氧化氮和 BC 的影响。通过对 10 年间的研究，该研究为空气质量管理提供了深入的见解，让人们了解道路距离和学校不同缓冲区的绿化如何影响室内暴露。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

The effects of urban green space and road proximity to indoor traffic-related PM2.5, NO2, and BC exposure in inner-city schools

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The effects of urban green space and road proximity to indoor traffic-related PM2.5, NO2, and BC exposure in inner-city schools

Since there are known adverse health impacts of traffic-related air pollution, while at the same time there are potential health benefits from greenness, it is important to examine more closely the impacts of these factors on indoor air quality in urban schools. This study investigates the association of road proximity and urban greenness to indoor traffic-related fine particulate matter (PM2.5), nitrogen dioxide (NO2), and black carbon (BC) in inner-city schools. PM2.5, NO2, and BC were measured indoors at 74 schools and outdoors at a central urban over a 10-year period. Seasonal urban greenness was estimated using the Normalized Difference Vegetation Index (NDVI) with 270 and 1230 m buffers. The associations between indoor traffic-related air pollution and road proximity and greenness were investigated with mixed-effects models. The analysis showed linear decays of indoor traffic-related PM2.5, NO2, and BC by 60%, 35%, and 22%, respectively for schools located at a greater distance from major roads. The results further showed that surrounding school greenness at 270 m buffer was significantly associated (p < 0.05) with lower indoor traffic-related PM2.5: −0.068 (95% CI: −0.124, −0.013), NO2: −0.139 (95% CI: −0.185, −0.092), and BC: −0.060 (95% CI: −0.115, −0.005). These associations were stronger for surrounding greenness at a greater distance from the schools (buffer 1230 m) PM2.5: −0.101 (95% CI: −0.156, −0.046) NO2: −0.122 (95% CI: −0.169, −0.075) BC: −0.080 (95% CI: −0.136, −0.026). These inverse associations were stronger after fully adjusting for regional pollution and meteorological conditions. More than 90% of children under the age of 15 worldwide are exposed to elevated air pollution levels exceeding the WHO’s guidelines. The study investigates the impact that urban infrastructure and greenness, in particular green areas and road proximity, have on indoor exposures to traffic-related PM2.5, NO2, and BC in inner-city schools. By examining a 10-year period the study provides insights for air quality management, into how road proximity and greenness at different buffers from the school locations can affect indoor exposure.

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来源期刊

Journal of Exposure Science and Environmental Epidemiology 医学-毒理学

CiteScore

8.90

自引率

6.70%

发文量

审稿时长

3 months

期刊介绍： Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.