Suppr超能文献

在上下学通勤中接触超细颗粒空气污染:利用地形增强剂量建模检查低剂量途径优化。

Exposure to ultrafine particulate air pollution in the school commute: Examining low-dose route optimization with terrain-enforced dosage modelling.

机构信息

Department of Geography, University of Toronto Mississauga, 3359 Mississauga Rd, Mississauga, ON, L5L 1C6, Canada.

出版信息

Environ Res. 2019 Nov;178:108674. doi: 10.1016/j.envres.2019.108674. Epub 2019 Aug 17.

Abstract

Exposure to ultrafine particulate air pollution (UFP) contributes to adverse health effects in sensitive population groups such as children. There is a need to explore UFP exposure in terms of respiratory dosage, which leverages the effect of activity-specific ventilation rates. Commute-related dosage, which describes the dosage that occurs during travel between fixed locations on a routine schedule (i.e. morning school commute), is often underrepresented in air pollution studies. School commutes commonly utilize active transportation modes, and modelling dosage during such commutes requires the development of an approach that captures the influence of travel mode and terrain-enforced ventilation rates. The concept of low-dosage routing is discussed as a solution to UFP dose mitigation; however, it requires an in-depth understanding of the factors that control how dosage is accumulated at different points in the commute. This paper presents a modelling workflow for examining UFP dosage while walking to school. We apply a GIS-based approach that simulates school commute routes for 296,862 homes in Toronto. We use a physical exertion-dependent dosage model that reflects broad-scale variability in physiology, travel velocity, travel gradient, and ambient UFP concentration to evaluate route-specific commute dosage. Our results reveal the patterns of within-route variation in dosage and demonstrate the effects high regional UFP concentration and accelerated physical exertion (i.e. where ventilation rate increases during uphill travel) on creating sections of greater UFP dosage within a route. We use the model to examine UFP dosage under shortest-distance and lowest-dosage routing solutions and find that 13.4% of homes had low-dosage alternative routes, while 86.6% had shortest-distances route that were already the lowest-dosage. Our findings were consistent with studies in the literature that implement a dosage modelling approach. This study highlights the importance of dosage models that account for the dynamic nature of walking speed, ventilation rate, terrain, and pollution concentration along a school commute.

摘要

暴露于超细颗粒物空气污染(UFP)会对儿童等敏感人群群体造成不良健康影响。需要从呼吸剂量的角度来探索 UFP 暴露问题,这可以利用特定活动的通风率的影响。通勤相关剂量描述了在固定地点之间按照常规时间表(即上学通勤)进行旅行时发生的剂量,它在空气污染研究中往往没有得到充分体现。学校通勤通常使用主动式交通方式,因此在这种通勤中建模剂量需要开发一种能够捕捉旅行方式和地形强制通风率影响的方法。低剂量路由的概念被讨论为减轻 UFP 剂量的解决方案;然而,这需要深入了解控制剂量在通勤不同点累积的因素。本文提出了一种用于检查步行上学时 UFP 剂量的建模工作流程。我们应用基于 GIS 的方法,模拟了多伦多 296862 个家庭的学校通勤路线。我们使用依赖于体力活动的剂量模型,该模型反映了生理学、旅行速度、旅行坡度和环境 UFP 浓度的广泛变化,以评估特定路线的通勤剂量。我们的结果揭示了剂量在路线内变化的模式,并演示了高区域 UFP 浓度和加速体力活动(即,当在爬坡旅行时通风率增加)对在路线内形成更大 UFP 剂量的部分的影响。我们使用该模型检查最短距离和最低剂量路由解决方案下的 UFP 剂量,并发现 13.4%的家庭有低剂量替代路线,而 86.6%的家庭已经有了最短距离的路线,而且是最低剂量的路线。我们的发现与文献中的剂量建模研究一致。这项研究强调了需要考虑步行速度、通风率、地形和污染浓度动态特性的剂量模型在学校通勤中的重要性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验