Developing a sustainable Air Quality Monitoring Methodology Through the Use of Low-Cost Sensors.
Abstract
The World Health Organization reports that outdoor air pollution is responsible for the deaths of over seven million people worldwide. Particulate matter has been recognized as a detrimental pollutant in the atmosphere. Traditional PM monitoring methods, limited by their urban/regional focus, high costs, and size, fail to capture the detailed spatial and temporal variations in PM concentrations, particularly in underrepresented urban and remote areas, thus they are unsustainable. Consequently, these constraints bring about the need for more sustainable methods. Low-cost air quality sensors offer a sustainable way to monitor particle matter and reduce atmospheric pollution due to their low cost, high spatial resolution, and accuracy. Employing low-cost sensors will allow us to improve the nature and precision of air quality observation, improving measures to decrease carbon emissions, which is good for people's health and the environment. In this study, we employ the Triple Bottom Line sustainable model to investigate the environmental, economic, and social pillars of sustainability. We will conduct a stakeholder analysis to evaluate the engagement of various stakeholders in the development and implementation of air quality monitoring solutions. This approach is aligned with United Nations Sustainable Development Goals: good health and well-being, sustainable cities and communities, and climate action. This effort seeks to improve atmospheric monitoring aiming for a healthier, sustainable future.
Developing a sustainable Air Quality Monitoring Methodology Through the Use of Low-Cost Sensors.
The World Health Organization reports that outdoor air pollution is responsible for the deaths of over seven million people worldwide. Particulate matter has been recognized as a detrimental pollutant in the atmosphere. Traditional PM monitoring methods, limited by their urban/regional focus, high costs, and size, fail to capture the detailed spatial and temporal variations in PM concentrations, particularly in underrepresented urban and remote areas, thus they are unsustainable. Consequently, these constraints bring about the need for more sustainable methods. Low-cost air quality sensors offer a sustainable way to monitor particle matter and reduce atmospheric pollution due to their low cost, high spatial resolution, and accuracy. Employing low-cost sensors will allow us to improve the nature and precision of air quality observation, improving measures to decrease carbon emissions, which is good for people's health and the environment. In this study, we employ the Triple Bottom Line sustainable model to investigate the environmental, economic, and social pillars of sustainability. We will conduct a stakeholder analysis to evaluate the engagement of various stakeholders in the development and implementation of air quality monitoring solutions. This approach is aligned with United Nations Sustainable Development Goals: good health and well-being, sustainable cities and communities, and climate action. This effort seeks to improve atmospheric monitoring aiming for a healthier, sustainable future.