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.

该项目旨在提高人们对美国和塞内加尔市达卡市城市空气污染物变异性变异性的来源的理解和影响。城市污染物分布的可变性已显示出与邻里人口统计学的污染物接触不平等，从而导致健康和预期寿命的显着差异。计划在达卡（Dakar）进行现场工作，这将导致在涉及物理和社会科学家的国际合作中对美国和塞内加尔学生进行培训。 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.这项工作将进一步扩展NO2卫星遥感在研究对城市内时空变异性的控制中的应用，尤其是在导致空气污染不平等的情况下，并通过使用新的预测变量可变数据集以及对工作日和周末之间污染物的时间变异性来提高土地利用回归建模方法。 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,该奖项以英语，西班牙语，法语和沃洛夫为特色，以数据和代码共享和教育内容为特色。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响标准，被认为值得通过评估来获得支持。