Collaborative Research: IRES Track 1/IRES Sites: CUNY India Pollution Study (CIPS)

合作研究：IRES Track 1/IRES 地点：纽约市立大学印度污染研究 (CIPS)

• 批准号: 2153678
• 负责人: Brian Vant-Hull
• 金额: $ 3万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2153678&HistoricalAwards=false
• 关键词: Collaborative; Research; IRES; Track; Sites

This award is funded in whole under the American Rescue Plan Act of 2021 (Public Law 117-2).The CUNY India Pollution Study (CIPS) will engage thirty-three (33) undergraduate students from Bronx Community College (BCC), City College of New York (CCNY), and other City University of New York (CUNY) colleges, over a period of three years in collaborative research focused on two neighborhoods in Mumbai, India; one of which is Dharavi, the largest slum in India and the other is Santacruz, an upper middle-class neighborhood. The project will be performed in collaboration with two Indian institutions, the India Institute of Technology Bombay (IITB) and the Indian Institute of Technology Delhi (IITD). CUNY students will travel to Mumbai and work with Indian students from these two institutions to collect and analyze micro-scale (neighborhood and block-level) data about air pollution levels using both fixed and mobile sensing equipment. In doing so, they will explore urban patterns and sources of pollution, and fill a gap in data collection that could provide critical findings to inform further research and public policy in India and in urban centers worldwide. CUNY students will work virtually with US and Indian faculty and students to plan routes, calibrate instruments, and become oriented to Indian language, culture, and geography. CUNY students will then travel to India for four weeks of research over the winter (January) intercession, which will include monitoring pollution in Mumbai and a weekend visit to New Delhi to compare pollution findings. Delhi traditionally has high levels of pollution during this period. Upon their return, students will analyze and then present their findings to students, faculty, and staff at CUNY and beyond. The database they create will be used for research and instruction at both CUNY and at IITB and IITD.The overall project goal is to develop underrepresented students’ STEM competencies and research skills through high-quality, collaborative international research experiences to support their retention, college graduation, and persistence in STEM studies. There have been many air pollution studies in Indian cities, but this one will be unique based on the combination of fixed and mobile measurements taken at the micro-scale level. Indian cities are far more polluted than American cities, so students will experience a more data-intensive environment with greater societal impact. Second, the focus on matching demographic data to pollution measures will allow for an assessment of pollution exposure of marginalized populations. Third, weather in the tropics tends to change seasonally rather than daily, greatly simplifying the analysis for student-level science. Until now, pollution and climate data have not been captured at the micro-scale (neighborhood and block) level in urban areas in India. This proposed research will introduce to Mumbai and New Delhi the approach of measuring air pollution on a micro-scale, combining mobile sensors and similar fixed sensors with supporting data from fixed weather stations. Near simultaneous vertical profiles of pollution and climate parameters will also be possible with the use of drones available at BCC that will be transported to India. This will allow researchers to see air pollution gradients and urban heat island structure of the selected neighborhoods, literally block by block. The proposed research will provide better assessment of the process of interpolation of data between fixed sensors in urban environments. The use of LoRAWAN sensors and the Vernier backpack weather stations mobile platform makes it possible to identify point sources of pollutions in the city and to determine the concentration gradient as a function of distance from the source, which can be paired with vertical gradients obtained by the drone flights with the sensors LoRaWAN sensors mounted. This will aid the development and fine-tuning of air quality models already in use to model the city’s air quality. As a coastal city, Mumbai will allow us to observe land and sea breeze influence on air quality on a micro-scale to aid in forecasting pollution alerts. Matching demographic data to pollution observed on fixed routes will allow an assessment of pollution exposure of marginalized populations, particularly in Dharavi, the largest slum in Asia. The project design will allow for the correlation of air pollution data retrieved by satellites to air pollution data collected on a street-by-street and block-by-block levels using mobile sensor platforms. Ground-truthing on such a microscale has not been previously performed in India and may provide a model to extend the application of satellite observations to urban settings.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.

该奖项由2021年美国救援计划法案资助纽约市立大学印度污染研究（CIPS）将吸引来自布朗克斯社区学院（BCC），纽约市立学院（CCNY）和其他纽约市立大学（CUNY）学院的三十三（33）名本科生，在为期三年的合作研究集中在两个社区在孟买，印度;其中之一是达拉维，在印度最大的贫民窟，另一个是桑塔克鲁斯，一个中上阶层的社区。该项目将与两个印度机构，即孟买印度理工学院和德里印度理工学院合作实施。纽约市立大学的学生将前往孟买，与来自这两个机构的印度学生合作，使用固定和移动的传感设备收集和分析有关空气污染水平的微观（社区和街区级别）数据。在此过程中，他们将探索城市模式和污染源，并填补数据收集方面的空白，这些数据收集可以提供关键发现，为印度和全球城市中心的进一步研究和公共政策提供信息。纽约市立大学的学生将与美国和印度的教师和学生一起工作，规划路线，校准仪器，并适应印度的语言，文化和地理。然后，纽约市立大学的学生将在冬季（1月）前往印度进行为期四周的研究，其中包括监测孟买的污染情况，并在周末访问新德里，比较污染调查结果。德里传统上在这一时期污染程度很高。在他们的回报，学生将分析，然后提出他们的研究结果，学生，教师和工作人员在纽约市立大学及以后。他们创建的数据库将用于CUNY和IITB和IITD的研究和教学。项目的总体目标是通过高质量的合作国际研究经验来培养未被充分代表的学生的STEM能力和研究技能，以支持他们的保留，大学毕业和坚持STEM研究。印度城市的空气污染研究很多，但这一研究将是独一无二的，其基础是在微观尺度上进行的固定和移动的测量相结合。印度城市的污染远比美国城市严重，因此学生将体验到一个数据密集型的环境，对社会的影响更大。第二，注重将人口数据与污染措施相匹配，将有助于评估边缘化人口的污染风险。第三，热带地区的天气往往是季节性的，而不是每天都在变化，这大大简化了学生科学的分析。到目前为止，印度城市地区的污染和气候数据还没有在微观尺度（社区和街区）层面上获得。这项拟议的研究将向孟买和新德里介绍在微观尺度上测量空气污染的方法，将移动的传感器和类似的固定传感器与固定气象站的支持数据相结合。通过使用BCC提供的无人机，也可以几乎同时获得污染和气候参数的垂直分布图，这些无人机将被运往印度。这将使研究人员能够看到选定社区的空气污染梯度和城市热岛结构，实际上是逐块进行。拟议的研究将提供更好的评估过程中的固定传感器之间的数据插值在城市环境中。使用LoRAWAN传感器和Vernier背包气象站移动的平台可以识别城市中的污染点源，并确定浓度梯度作为距离源的函数，可以与安装传感器LoRaWAN传感器的无人机飞行获得的垂直梯度配对。这将有助于开发和微调已经用于模拟城市空气质量的空气质量模型。作为一个沿海城市，孟买将使我们能够在微观尺度上观察陆地和海风对空气质量的影响，以帮助预测污染警报。将人口数据与在固定路线上观察到的污染情况相匹配，将有助于评估边缘化人口，特别是亚洲最大的贫民窟达拉维的边缘化人口受到的污染影响。该项目的设计将使卫星检索的空气污染数据与使用移动的传感器平台逐街逐街区收集的空气污染数据相互关联。印度以前从未进行过这种微型的地面实况调查，这可能为将卫星观测的应用扩展到城市环境提供了一个模式，这一奖项反映了国家科学基金会的法定使命，并被认为值得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价予以支持。