Air quality monitoring using drones (UAV)

R. Alberto Bernabeo, Gianmarco D’Alessandro, Alessandro Ceruti, Laura Tositti, Nhan Nguyen, Thanh Phuoc Ho
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Abstract

Air pollution causes many diseases and is a major environmental threat, therefore, it is essential to monitor and improve the air quality. With this work, we aim to assess atmospheric pollution using drone-mounted air sensors, with specific applications in Vietnam. We aim to measure Green-House Gas (GHG) emissions and other pollutants in urban and non-urban areas of interest including, but not limited to landfills and airports, to evaluate the effects of pollution on climate and health. The project will use a novel and creative approach to collect three-dimensional atmospheric data using smart sensors mounted on Unmanned Aerial Vehicles (UAVs). UAVs have been extensively applied in recent years, both in Vietnam and on a global scale, to multiple fields and with different scopes. Surveying, crop monitoring, irrigation and fertilization, surveillance and rescue support, and 2D and 3D mapping, are just a few examples of how UAVs can be used for agriculture, archaeology, forestry, urban planning, and architecture. In this project, we develop an integrated system of UAVs and smart sensors for air quality monitoring. To develop mitigation and adaptation strategies for reducing the environmental impact of transport, it is imperative to assess the emission sources and trends. Therefore, we are developing a system able to collect comprehensive atmospheric data using remote aerosol sampling, and chemical speciation. Furthermore, the potential of using smart sensors on other flying devices is explored.
使用无人机(UAV)监测空气质量
空气污染会导致多种疾病,是对环境的一大威胁,因此,监测和改善空气质量至关重要。通过这项工作,我们旨在利用无人机安装的空气传感器评估大气污染,具体应用于越南。我们的目标是测量城市和非城市相关区域的温室气体(GHG)排放和其他污染物,包括但不限于垃圾填埋场和机场,以评估污染对气候和健康的影响。该项目将采用一种新颖的创造性方法,利用安装在无人驾驶飞行器(UAV)上的智能传感器收集三维大气数据。近年来,无人飞行器已在越南和全球范围内广泛应用,涉及多个领域和不同范围。勘测、农作物监测、灌溉和施肥、监视和救援支持以及二维和三维制图只是无人机如何用于农业、考古学、林业、城市规划和建筑的几个例子。在本项目中,我们将开发一个由无人机和智能传感器组成的综合系统,用于空气质量监测。为了制定缓解和适应战略,减少交通对环境的影响,必须对排放源和排放趋势进行评估。因此,我们正在开发一种能够利用远程气溶胶采样和化学标本收集综合大气数据的系统。此外,我们还在探索在其他飞行设备上使用智能传感器的潜力。
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