Characterization of Indoor PM2.5 peak: New Indexes and Implications
Wei Du 3
More details
Hide details
Shanghai Key Laboratory of Forensic Medicine, Institute of Forensic Science, Ministry of Justice, P.R. China
Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control, Faculty of Environmental Science & Engineering, Kunming University of Science &Technology, Kunming 650500, China
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
Submission date: 2022-11-02
Final revision date: 2022-12-07
Acceptance date: 2022-12-14
Online publication date: 2023-02-07
Publication date: 2023-03-14
Corresponding author
Jinze Wang   

College of Urban and Environmental Sciences, Peking University, China
Pol. J. Environ. Stud. 2023;32(2):1949–1955
Household air pollution is arising more and more concerns due to its severe impact on human health. In recent years, low cost sensors are more and more popular due to their advantages of data with high time resolution. However, the analysis methods for the large-scale data obtained from sensors are still rare, limiting the expression of the value of the high time resolution data. In this paper, we introduce two new indexes for the characterization of indoor PM2.5 peak, aiming to evaluate the speed of the PM2.5 increasing and decreasing (namely Ki and Kd, respectively) with internal emission sources starting and ending, and the reliability of the indexes was identified by using real world measurement. Large Ki is found in the residential homes during cooking time, indicating the urgent need to control PM2.5 emissions from residential energy use and cooking oil. It is found that the Ki and Kd in homes burning solid fuels are higher than that using clean fuels, suggesting the potential benefit of energy transition in residential homes. This study highlighted the importance of various indexes used for indoor PM2.5 peak characterization and it is expected to provide new insights for future indoor air pollution study.