Air pollution is a serious environmental health concern for humans and other living organisms. This study analyzes the spatial and temporal characteristics of air pollutant concentrations, changes in the degree of pollution, and the wavelet coherence of the air quality index (AQI) with pollutants in various monitoring stations. The analysis is based on long-term time series data (January 2016 to December 2023) of air pollutants (PM, PM and O) from Korla, an oasis city in the northeastern part of the Tarim Basin, China. The concentrations of PM, PM and O in Korla showed a cyclical trend from 2016 to 2023; PM concentrations exhibited all-season exceedance and PM exhibited exceedance only in spring. PM and PM showed a seasonal distribution of spring > winter > fall > summer; O concentrations showed a seasonal distribution of summer > spring > fall > winter. Strong positive wavelet coherence between PM and Air Quality Index (AQI) data series suggests that the AQI data series can effectively characterize fluctuating trends in PM concentrations. Moreover, PM levels IV and VI were maintained at approximately 10%, indicating that sand and dust have a substantial influence on air quality and pose potential threats to the health of urban inhabitants. Based on the results of this study, future efforts must strengthen relative countermeasures for sand prevention and control, select urban greening species with anti-pollution capabilities, rationally expand urban green spaces, and restrict regulations for reducing particulate matter emissions within city areas.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11153575PMC
http://dx.doi.org/10.1038/s41598-024-63856-5DOI Listing

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