Research on Quantification and Dynamic Monitoring of Personal Exposure to Urban Air Pollution Based on Big Data and Low-Cost Sensor Networks
Abstract
This paper focuses on quantifying personal exposure to urban air pollution. It clarifies big data's identity as a new production factor and its technical foundation while elaborating on the concept of big data. Subsequently, it analyzes the key requirements and challenges
in quantifying personal exposure, pointing out the shortcomings of traditional monitoring methods and interference from multiple factors.
Furthermore, it discusses the significance of big data and low-cost sensor network monitoring, as well as the application of interdisciplinary
research, with a focus on assessing and communicating uncertainty and risk in atmospheric science. The aim is to provide technical support
for air pollution control and health risk prevention.
in quantifying personal exposure, pointing out the shortcomings of traditional monitoring methods and interference from multiple factors.
Furthermore, it discusses the significance of big data and low-cost sensor network monitoring, as well as the application of interdisciplinary
research, with a focus on assessing and communicating uncertainty and risk in atmospheric science. The aim is to provide technical support
for air pollution control and health risk prevention.
Keywords
Big Data; Low-Cost Sensor Networks; Urban Air Pollution; Quantification of Personal Exposure; Dynamic Monitoring
Full Text:
PDFReferences
[1] Tang, Y. Y. (2024). Research Status and Development Prospects of Air Pollutant Monitoring Technology. Tianjin Science & Technology,
51(08), 45-48.
[2] Fan, T. (2024). Air Pollution Monitoring and Prediction Model Based on Artificial Intelligence Technology. China Strategic Emerging
Industry, (18), 102-104.
[3] Wang, W. L. (2023). Urban Air Quality Monitoring and Assessment Based on Sensor Networks. Leather Manufacture and Environmental Technology, 4(23), 35-37.
[4] Li, B. (2023). A Brief Discussion on the Application of Gas Sensors in Air Pollution Monitoring in Petrochemical Areas. Leather Manufacture and Environmental Technology, 4(15), 127-129.
DOI: http://dx.doi.org/10.70711/eph.v2i6.8048