Aerosol Evolution and Influencing Factor Analysis during Haze Periods in the Guanzhong Area of China Based on Multi-Source Data

Aerosols suspended in the atmosphere negatively affect air quality and public health promote global climate change. The Guanzhong area China was selected as study area. Air data from July 2018 to June 2021 were recorded daily, 19 haze periods for this study. Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model used simulate mass transport trajectory during period classify formation process. spatial distribution of aerosol optical depth (AOD) obtained by processing Moderate-resolution Imaging Spectroradiometer (MODIS) using dark target (DT) method. Three factors analyze AOD characteristics based on perceptual hashing algorithm (PHA): GDP, population density, topography. Correlations between aerosols wind direction, speed, precipitation analyzed weather station data. research results showed that mainly due locally generated (94.7%). are statistical direction affected diffusion Guanzhong, while speed (r = −0.63) −0.66) had a significant influence accumulation diffusion.