Research on Quantification and Dynamic Monitoring of 
Personal Exposure to Urban Air Pollution Based on Big 
Data and Low-Cost Sensor Networks

Panpan Shi

doi:10.70711/eph.v2i6.8048

Research on Quantification and Dynamic Monitoring of Personal Exposure to Urban Air Pollution Based on Big Data and Low-Cost Sensor Networks

Panpan Shi

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.

Keywords

Big Data; Low-Cost Sensor Networks; Urban Air Pollution; Quantification of Personal Exposure; Dynamic Monitoring

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References

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[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

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