Suppr超能文献

四十年美国移动源污染物:基于地面监测、空气质量模型和卫星评估的时空趋势。

Four Decades of United States Mobile Source Pollutants: Spatial-Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites.

机构信息

Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, Virginia 22030-4444, United States.

School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

出版信息

Environ Sci Technol. 2021 Jan 19;55(2):882-892. doi: 10.1021/acs.est.0c07128. Epub 2021 Jan 5.

Abstract

On-road emissions sources degrade air quality, and these sources have been highly regulated. Epidemiological and environmental justice studies often use road proximity as a proxy for traffic-related air pollution (TRAP) exposure, and other studies employ air quality models or satellite observations. To assess these metrics' abilities to reproduce observed near-road concentration gradients and changes over time, we apply a hierarchical linear regression to ground-based observations, long-term air quality model simulations using Community Multiscale Air Quality (CMAQ), and satellite products. Across 1980-2019, observed TRAP concentrations decreased, and road proximity was positively correlated with TRAP. For all pollutants, concentrations decreased fastest at locations with higher road proximity, resulting in "flatter" concentration fields in recent years. This flattening unfolded at a relatively constant rate for NO, whereas the flattening of CO concentration fields has slowed. CMAQ largely captures observed spatial-temporal NO trends across 2002-2010 but overstates the relationships between CO and elemental carbon fine particulate matter (EC) road proximity. Satellite NO measures overstate concentration reductions near roads. We show how this perspective provides evidence that California's on-road vehicle regulations led to substantial decreases in NO, NO, and EC in California, with other states that adopted California's light-duty automobile standards showing mixed benefits over states that did not adopt these standards.

摘要

道路排放源会降低空气质量,这些排放源已经受到了高度监管。流行病学和环境正义研究通常将道路接近度作为交通相关空气污染 (TRAP) 暴露的替代指标,而其他研究则采用空气质量模型或卫星观测。为了评估这些指标在重现观测到的近路浓度梯度和随时间变化的能力,我们应用层次线性回归来分析地面观测、使用社区多尺度空气质量模型 (CMAQ) 的长期空气质量模型模拟以及卫星产品。在 1980 年至 2019 年期间,观察到的 TRAP 浓度下降,道路接近度与 TRAP 呈正相关。对于所有污染物,在接近度较高的位置,浓度下降最快,导致近年来浓度场更加平坦。NO 的这种平坦化以相对恒定的速率展开,而 CO 浓度场的平坦化速度已经放缓。CMAQ 在很大程度上捕捉到了 2002-2010 年期间观察到的 NO 的时空趋势,但夸大了 CO 和元素碳细颗粒物 (EC) 与道路接近度之间的关系。卫星 NO 测量值高估了道路附近的浓度降低。我们展示了这种观点如何提供证据表明,加利福尼亚州的道路车辆法规导致了加利福尼亚州 NO、NOx 和 EC 的大量减少,而其他采用加利福尼亚州轻型汽车标准的州在采用这些标准方面的受益情况各不相同,而没有采用这些标准的州则受益情况则各不相同。

相似文献

本文引用的文献

9
Unexpected slowdown of US pollutant emission reduction in the past decade.过去十年美国污染物减排意外放缓。
Proc Natl Acad Sci U S A. 2018 May 15;115(20):5099-5104. doi: 10.1073/pnas.1801191115. Epub 2018 Apr 30.

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