CAREER: Observational Constraints on Neighborhood-level Air Quality in Major United States cities and Dakar, Senegal

职业：美国主要城市和塞内加尔达喀尔社区空气质量的观测限制

• 批准号: 2047150
• 负责人: Sally Pusede
• 金额: $ 67.76万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047150&HistoricalAwards=false
• 关键词: CAREER; Observational; Constraints; Neighborhood; level

The project seeks to advance understanding of sources and impacts of variability of air pollutants in cities across the U.S. and in the city of Dakar, Senegal. Variability in urban pollutant distributions have shown to result in inequality in pollutant exposure with neighborhood demographics, resulting in significant disparities in health and life expectancy. Field work is planned in Dakar that will lead to the training of U.S. and Senegalese students in an international collaboration involving physical and social scientists. Education and outreach activities are planned for middle school to university level students, as well as the general public.A range of datasets will be integrated, including novel high spatial resolution nitrogen dioxide (NO2) airborne spectrometer observations, satellite-based NO2 columns, in situ aircraft measurements of numerous trace species, vehicle-based in situ observations, ground-based NO2 columns, and U.S. and Senegalese demographic datasets. The work will further expand the application of NO2 satellite remote sensing to study controls over intra-urban spatiotemporal variability, especially as it results in air pollution inequality, and advance land-use regression modeling methods through the use of new predictor variable datasets and constraints on pollutant temporal variability between weekdays and weekends. Educational and outreach activities align with research themes, including the development of a middle school experiential air pollution curriculum that explores student motivation in STEM when STEM is framed as a tool for environmental justice, the development of an interdisciplinary and international undergraduate and graduate course on West African urban air pollution, and the creation of a visually-appealing API depicting city-wide NO2 disparities in at least twenty U.S. cities and Dakar, featuring data and code sharing and educational content in English, Spanish, French, and Wolof.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在促进对美国各城市和塞内加尔达喀尔市空气污染物来源和变化影响的了解。城市污染物分布的可变性已被证明会导致污染物暴露与社区人口统计的不平等，导致健康和预期寿命的显着差异。实地工作计划在达喀尔，这将导致美国和塞内加尔的学生在涉及物理和社会科学家的国际合作培训。计划为中学到大学的学生以及公众开展教育和推广活动。将整合一系列数据集，包括新颖的高空间分辨率二氧化氮（NO2）机载光谱仪观测，卫星NO2柱，许多痕量物种的原位飞机测量，车载原位观测，地基NO2柱，以及美国和塞内加尔的人口统计数据。这项工作将进一步扩大NO2卫星遥感的应用，以研究对城市内部时空变化的控制，特别是因为它导致空气污染不平等，并通过使用新的预测变量数据集和对工作日和周末之间污染物时间变化的限制，推进土地使用回归建模方法。教育和宣传活动与研究主题相一致，包括开发中学体验式空气污染课程，探索学生在STEM中的动机，当STEM被框定为环境正义的工具时，开发跨学科和国际本科生和研究生课程西非城市空气污染，以及创建一个视觉上吸引人的API，描绘至少20个美国城市和达喀尔的城市范围内的NO2差异，以英语，西班牙语，法语，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。