Poor air quality can be detrimental to human health, by causing or exacerbating health conditions. Sensitive groups such as children and the elderly with underlying conditions are at an increased risk for adverse health effects due to poor air quality. Due to the Covid-19 Pandemic, there is an observed change in air quality due to government restrictions and lockdown from 2020-2022 in many of the populated cities of the world. The University of Maryland Eastern Shore students (UMES) students in 3 undergrad courses (Introduction to Environmental Sciences; Biology for Honors students; and Ecology) and 1 graduate course (Teaching STEM at K-12 schools), and summer-exchange undergraduate engineering and high school interns had the opportunity to research the effects of Covid-19 pandemic on air quality for selected overpopulated cities in the world. The data collected were from March 2020 through summer of 2022. The objectives of integrating this research in STEM education are: a) to find a correlation among air quality parameters because of Covid-19; b) to analyze the effects of the pandemic on CO, NO2, O3, PM2.5, PM10, and SO2 in some of the selected populated cities (Kolkata, Milan, Los Angeles, São Paulo, Shanghai, and Sydney); c) to hone content knowledge in environmental science, chemistry, physics, and statistics; and d) to enhance data analytical skills, problem solving skills, as well as presenting research. By analyzing the effects of the Covid-19 pandemic on air quality, the scope for environmental restoration is addressed as more information is disseminated on what contributes to air quality, and how humans can manipulate it. In each of the courses mentioned above, two modules were dedicated to this topic. The first module introduced the topic and background information and the second one required relevant data analysis and presentations. Since the Environmental Science class had over 40 students, the students were broken down into groups for this activity. Various relevant governmental websites were used to gain background knowledge about the satellites and sensors. The data were collected from the Air Quality Open Data Platform https://aqicn.org/data-platform/Covid19 Worldwide Covid-19 dataset. The engineering and the high school interns continued with this work during the summer. Because of this approach, there was a continuous collection and analyses of data for this project. Efforts are underway to include this topic in the Engineering Statistics course in Spring 2023/Fall 2023. By analyzing the effects of the Covid-19 pandemic on air quality, the scope for environmental restoration is addressed as more information is disseminated on what contributes to air quality, and how humans can manipulate it. The findings from this study, and other contemporary ones, can aid in efforts towards combating climate change and sustaining human life in a holistic manner. This multidisciplinary project synthesized research and education from biology, chemistry, environmental sciences, engineering, and statistics. It also opened avenues to discuss potential solutions for two of the NAE Grand Engineering Challenges: developing carbon sequestration methods, and engineering the tools of scientific discovery. The students had very positive feedback on their learning experiences such as honing their multidisciplinary content knowledge; applying their knowledge to real-world situations; improving their critical thinking, data analytical, and presentation skills.
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